Add ONNX graphs: ACDC.onnx, ACDC.onnx.config.json, ACDC.onnx.provenance.json, BUSI.onnx, BUSI.onnx.config.json, BUSI.onnx.provenance.json, COVIDQUEx.onnx, COVIDQUEx.onnx.config.json, COVIDQUEx.onnx.provenance.json, DRIVE.onnx, DRIVE.onnx.config.json, DRIVE.onnx.provenance.json, ISIC2018.onnx, ISIC2018.onnx.config.json, ISIC2018.onnx.provenance.json, PROMISE12.onnx, PROMISE12.onnx.config.json, PROMISE12.onnx.provenance.json, UWaterlooSkinCancer.onnx, UWaterlooSkinCancer.onnx.config.json, UWaterlooSkinCancer.onnx.provenance.json (tools/hf_onnx_export.py)

ACDC.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f210e192335738e7f8b2c8b364c803aaeddce3796e5f6c08ad32f7638a436da
+size 102054805

ACDC.onnx.config.json

@@ -0,0 +1,16 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 4
+    }
+  },
+  "inference": {
+    "size": [
+      256,
+      256
+    ]
+  }
+}

ACDC.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "ACDC.pth",
+    "sha256": "684d44784b44ec22725afeba7f7327df680beb641d8514320076036c89c55f1d",
+    "reference": "ACDC.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "ACDC.pth.config.json",
+        "sha256": "d84f326f8c218efce48af9f521f9453542ef3bbe2947128cf97f278ceb8d3ffb"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 6.093113638971914e-06,
+      "scale": 7.637602672271395,
+      "rel_diff": 7.977782951570908e-07
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "ACDC.onnx",
+    "sha256": "4f210e192335738e7f8b2c8b364c803aaeddce3796e5f6c08ad32f7638a436da",
+    "bytes": 102054805,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 4,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 8.344650268554688e-06,
+          "scale": 7.637600421905518,
+          "rel_diff": 1.0925748674441347e-06
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 8.344650268554688e-06,
+      "scale": 7.637600421905518,
+      "rel_diff": 1.0925748674441347e-06
+    }
+  ],
+  "exported_at": "2026-09-07T16:17:20+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "ACDC.pth",
+    "pth_sha256": "684d44784b44ec22725afeba7f7327df680beb641d8514320076036c89c55f1d",
+    "sidecar_sha256": "9867fc324419b3f483f4f5b56708a3271f503d4c68bf7fdb4c768189884baefb",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "ACDC",
+      "split": "test",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 1.1801719665527344e-05,
+          "scale": 7.146183490753174,
+          "rel_diff": 1.651471681464409e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 1.246956475275951e-05,
+            "scale": 7.146182123979647,
+            "rel_diff": 1.7449268065694523e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:17:46+00:00"
+  }
+}

BUSI.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dcae9bd5be2a24898ba7f8f327b6fad10bb2e5d92527785fe10f3128f13d8384
+size 102054409

BUSI.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

BUSI.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "BUSI.pth",
+    "sha256": "17169d2717106f982c117dc4505905fdec73509907494deb443e4193f25ddb46",
+    "reference": "BUSI.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "BUSI.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 3.393785491567769e-05,
+      "scale": 31.56708641520828,
+      "rel_diff": 1.0751025441273298e-06
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "BUSI.onnx",
+    "sha256": "dcae9bd5be2a24898ba7f8f327b6fad10bb2e5d92527785fe10f3128f13d8384",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 2.288818359375e-05,
+          "scale": 31.567110061645508,
+          "rel_diff": 7.25064269394729e-07
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 2.288818359375e-05,
+      "scale": 31.567110061645508,
+      "rel_diff": 7.25064269394729e-07
+    }
+  ],
+  "exported_at": "2026-09-07T16:17:19+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "BUSI.pth",
+    "pth_sha256": "17169d2717106f982c117dc4505905fdec73509907494deb443e4193f25ddb46",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "BUSI",
+      "split": "train",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 6.866455078125e-05,
+          "scale": 61.45475769042969,
+          "rel_diff": 1.1173187131765893e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 6.998271746283535e-05,
+            "scale": 61.454809881497454,
+            "rel_diff": 1.1387671298273016e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:17:42+00:00"
+  }
+}

COVIDQUEx.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddfc925e54932af822c149119d7af74523293708b482755a94371ac7425f0bbf
+size 102054409

COVIDQUEx.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

COVIDQUEx.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "COVIDQUEx.pth",
+    "sha256": "ea65937eb06d500ffc3457dd30ccefb03260bdab04e1a45b62b9046c0caac822",
+    "reference": "COVIDQUEx.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "COVIDQUEx.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 1.0420266374211451e-05,
+      "scale": 12.977233374638399,
+      "rel_diff": 8.02965167797316e-07
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "COVIDQUEx.onnx",
+    "sha256": "ddfc925e54932af822c149119d7af74523293708b482755a94371ac7425f0bbf",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 1.239776611328125e-05,
+          "scale": 12.977235794067383,
+          "rel_diff": 9.553472180068548e-07
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 1.239776611328125e-05,
+      "scale": 12.977235794067383,
+      "rel_diff": 9.553472180068548e-07
+    }
+  ],
+  "exported_at": "2026-09-07T16:17:22+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "COVIDQUEx.pth",
+    "pth_sha256": "ea65937eb06d500ffc3457dd30ccefb03260bdab04e1a45b62b9046c0caac822",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "COVIDQUEx",
+      "split": "val",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 0.00052642822265625,
+          "scale": 70.39787292480469,
+          "rel_diff": 7.4778995555526655e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 0.000545312807354037,
+            "scale": 70.39841682752868,
+            "rel_diff": 7.746094755085419e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:17:52+00:00"
+  }
+}

DRIVE.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ade93d1eaefaffcb0f679871379c432f9ddb11eeafc0c1370590b7d49f7e2fe
+size 102054409

DRIVE.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

DRIVE.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "DRIVE.pth",
+    "sha256": "00f7e971b1f8e1b901165cf95c7e8ddda5b85fcc5f805260dfbc999eb563ea7e",
+    "reference": "DRIVE.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "DRIVE.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 2.5759674585401626e-05,
+      "scale": 9.97913584963656,
+      "rel_diff": 2.5813532327390648e-06
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "DRIVE.onnx",
+    "sha256": "9ade93d1eaefaffcb0f679871379c432f9ddb11eeafc0c1370590b7d49f7e2fe",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 3.528594970703125e-05,
+          "scale": 9.979158401489258,
+          "rel_diff": 3.535964485919503e-06
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 3.528594970703125e-05,
+      "scale": 9.979158401489258,
+      "rel_diff": 3.535964485919503e-06
+    }
+  ],
+  "exported_at": "2026-09-07T16:17:39+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "DRIVE.pth",
+    "pth_sha256": "00f7e971b1f8e1b901165cf95c7e8ddda5b85fcc5f805260dfbc999eb563ea7e",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "DRIVE",
+      "split": "val",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 2.6702880859375e-05,
+          "scale": 9.987114906311035,
+          "rel_diff": 2.6737332162365506e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 2.175620010191892e-05,
+            "scale": 9.987103412822739,
+            "rel_diff": 2.1784294407110565e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:18:00+00:00"
+  }
+}

ISIC2018.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3b2ed0e73f658f8696a492c030a2fba8ad4be7e7467f33a526ec1547152d9eb
+size 102054409

ISIC2018.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

ISIC2018.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "ISIC2018.pth",
+    "sha256": "d0cd7b455d7142d4310754a28f3f8c69e767ea4307f08f6991b1505d2598f29f",
+    "reference": "ISIC2018.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "ISIC2018.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 2.504311162354611e-05,
+      "scale": 31.31202241618219,
+      "rel_diff": 7.997922105026253e-07
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "ISIC2018.onnx",
+    "sha256": "a3b2ed0e73f658f8696a492c030a2fba8ad4be7e7467f33a526ec1547152d9eb",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 2.86102294921875e-05,
+          "scale": 31.31204605102539,
+          "rel_diff": 9.13713190302701e-07
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 2.86102294921875e-05,
+      "scale": 31.31204605102539,
+      "rel_diff": 9.13713190302701e-07
+    }
+  ],
+  "exported_at": "2026-09-07T16:18:11+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "ISIC2018.pth",
+    "pth_sha256": "d0cd7b455d7142d4310754a28f3f8c69e767ea4307f08f6991b1505d2598f29f",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "ISIC2018",
+      "split": "val",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 3,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 8.0108642578125e-05,
+          "scale": 35.328041076660156,
+          "rel_diff": 2.2675653712101696e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 8.620929181235581e-05,
+            "scale": 35.32807563023731,
+            "rel_diff": 2.440248733462551e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:18:29+00:00"
+  }
+}

PROMISE12.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec0efad356dd971960f0e3441d27429a4f0cdf28d11caf21ca74019188550d6d
+size 102054409

PROMISE12.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

PROMISE12.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "PROMISE12.pth",
+    "sha256": "cdc037d1d2bf2269d0b4f4940d3bfa395d2b3214805824cd02089b74cd59f7fb",
+    "reference": "PROMISE12.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "PROMISE12.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 1.7743337107134494e-05,
+      "scale": 23.43940945770895,
+      "rel_diff": 7.569873779946668e-07
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "PROMISE12.onnx",
+    "sha256": "ec0efad356dd971960f0e3441d27429a4f0cdf28d11caf21ca74019188550d6d",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 1.7642974853515625e-05,
+          "scale": 23.439409255981445,
+          "rel_diff": 7.527056104885987e-07
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 1.7642974853515625e-05,
+      "scale": 23.439409255981445,
+      "rel_diff": 7.527056104885987e-07
+    }
+  ],
+  "exported_at": "2026-09-07T16:18:17+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "PROMISE12.pth",
+    "pth_sha256": "cdc037d1d2bf2269d0b4f4940d3bfa395d2b3214805824cd02089b74cd59f7fb",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "PROMISE12",
+      "split": "val",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 8.20159912109375e-05,
+          "scale": 27.992198944091797,
+          "rel_diff": 2.929958856563796e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 7.433373374965413e-05,
+            "scale": 27.992238984970765,
+            "rel_diff": 2.6555122578642046e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:18:35+00:00"
+  }
+}

UWaterlooSkinCancer.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ad46799936c6e6bac5cbb117ee39c66fbb07940f9c20ea996ab6085de7bc594
+size 102054409

UWaterlooSkinCancer.onnx.config.json

@@ -0,0 +1,30 @@
+{
+  "schema": "medotter/model-sidecar/v1",
+  "model": {
+    "graph": "onnx",
+    "args": {
+      "input_channel": 3,
+      "num_classes": 1
+    }
+  },
+  "inference": {
+    "normalize": {
+      "mean": [
+        0.485,
+        0.456,
+        0.406
+      ],
+      "std": [
+        58.395,
+        57.12,
+        57.375
+      ]
+    },
+    "scale": 255.0,
+    "size": [
+      256,
+      256
+    ],
+    "threshold": 0.5
+  }
+}

UWaterlooSkinCancer.onnx.provenance.json

@@ -0,0 +1,158 @@
+{
+  "schema": "medotter/graph-provenance/v1",
+  "source": {
+    "file": "UWaterlooSkinCancer.pth",
+    "sha256": "d18e6591bed7a82dcdb04075f2963012ec86a0a7c209d734867bae789f0d210d",
+    "reference": "UWaterlooSkinCancer.pth",
+    "model": "Polyp_PVT",
+    "declaration_source": "sidecar",
+    "declaration": [
+      {
+        "file": "UWaterlooSkinCancer.pth.config.json",
+        "sha256": "162ecb66f358cc578e56397f53d61d0d6d340103a0b3162396265b2cfe8734e0"
+      }
+    ],
+    "float32_vs_float64": {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "float64": "ok",
+      "threads": 6,
+      "max_abs_diff": 1.863750354580418e-05,
+      "scale": 19.494387337891347,
+      "rel_diff": 9.560445897973086e-07
+    }
+  },
+  "graph": {
+    "kind": "onnx",
+    "file": "UWaterlooSkinCancer.onnx",
+    "sha256": "6ad46799936c6e6bac5cbb117ee39c66fbb07940f9c20ea996ab6085de7bc594",
+    "bytes": 102054409,
+    "opset": 20,
+    "dynamic": false,
+    "reason": "dynamic_export_error",
+    "input": "image",
+    "output": "logits",
+    "input_channel": 3,
+    "num_classes": 1,
+    "size": [
+      256,
+      256
+    ]
+  },
+  "exporter": {
+    "api": "torch.onnx.export",
+    "name": "dynamo",
+    "dynamo": true,
+    "registered_symbolics": {},
+    "producer": "pytorch 2.13.0+cpu",
+    "torch": "2.13.0+cpu",
+    "onnx": "1.22.0",
+    "onnxruntime": "1.29.0"
+  },
+  "verification_input": {
+    "kind": "smooth_random_field",
+    "distribution": "normal",
+    "coarse_factor": 16,
+    "min_coarse": 4,
+    "interpolation": "bilinear",
+    "align_corners": false,
+    "seed": 0
+  },
+  "attempts": [
+    {
+      "mode": "dynamic",
+      "exporter": "torchscript",
+      "outcome": "fell_back",
+      "reason": "dynamic_export_error",
+      "error": {
+        "kind": "export",
+        "text": "torchscript: SymbolicValueError: Unsupported: ONNX export of operator adaptive_avg_pool2d, input size not accessible. Please feel free to request support or submit a pull request on PyTorch GitHub: https://github.com/pytorch/pytorch/issues [Caused by the value 'input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 )' (type 'Tensor') in the TorchScript graph. The containing node has kind 'onnx::Mul'.] (node defined in /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(98): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py(208): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(726): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1768): _slow_forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(131): wrapper /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(140): forward /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1789): _call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/module.py(1778): _wrapped_call_impl /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/jit/_trace.py(1439): _get_trace_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(898): _trace_and_get_graph_from_model /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(992): _create_jit_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1108): _model_to_graph /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(1510): _export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/_internal/torchscript_exporter/utils.py(547): export /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/onnx/__init__.py(334): export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(774): _export_onnx /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1123): attempt /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1160): cmd_export /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1271): main /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/medotter/agent/tools/export_graph.py(1275): <module> <frozen runpy>(88): _run_code <frozen runpy>(198): _run_module_as_main ) Inputs: #0: 2052 defined in (%2052 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=0, device=cpu) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[1, 1], pads=[0, 0, 0, 0], strides=[1, 1]](%input.699, %inner.SAM.conv_proj.weight, %inner.SAM.conv_proj.bias), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM/torch.nn.modules.conv.Conv2d::conv_proj # /home/csgrad/tianyulu/.venvs/medotter-eval-v2/lib/python3.12/site-packages/torch/nn/modules/conv.py:560:0 ) (type 'Tensor') #1: 2047 defined in (%2047 : Float(*, 1, *, *, strides=[32768, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Unsqueeze(%2045, %2046), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:94:0 ) (type 'Tensor') Outputs: #0: input.715 defined in (%input.715 : Float(*, 16, *, *, strides=[16384, 1024, 32, 1], requires_grad=1, device=cpu) = onnx::Mul(%2052, %2047), scope: __main__.scored_head.<locals>.ScoredHead::/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.PolypPVT::inner/model_zoo.Transformer.Polyp_PVT.Polyp_PVT.SAM::SAM # /home/csgrad/tianyulu/code/medotter/.worktrees/onnx-pilot/model_zoo/Transformer/Polyp_PVT/Polyp_PVT.py:98:0 ) (type 'Tensor')"
+      },
+      "verification": null
+    },
+    {
+      "mode": "static",
+      "exporter": "dynamo",
+      "outcome": "kept",
+      "reason": "dynamic_export_error",
+      "error": null,
+      "verification": [
+        {
+          "shape": [
+            1,
+            3,
+            256,
+            256
+          ],
+          "torch": "ok",
+          "graph": "ok",
+          "max_abs_diff": 2.288818359375e-05,
+          "scale": 19.49439239501953,
+          "rel_diff": 1.1740906374490299e-06
+        }
+      ]
+    }
+  ],
+  "verification": [
+    {
+      "shape": [
+        1,
+        3,
+        256,
+        256
+      ],
+      "torch": "ok",
+      "graph": "ok",
+      "max_abs_diff": 2.288818359375e-05,
+      "scale": 19.49439239501953,
+      "rel_diff": 1.1740906374490299e-06
+    }
+  ],
+  "exported_at": "2026-09-07T16:18:26+00:00",
+  "release": {
+    "repo": "MedOtter/Polyp_PVT",
+    "revision": "7f46eadc0419bfaac5211421a812ea64213a990b",
+    "pth_file": "UWaterlooSkinCancer.pth",
+    "pth_sha256": "d18e6591bed7a82dcdb04075f2963012ec86a0a7c209d734867bae789f0d210d",
+    "sidecar_sha256": "402e4863796b2530120ab02b07d1cb1732e28237a9d98398dec1bbc4a73d5594",
+    "sidecar_source": "existing",
+    "group": "checkout_only",
+    "reference_check": {
+      "dataset": "UWaterlooSkinCancer",
+      "split": "val",
+      "samples": 4,
+      "reproducible": true,
+      "status": "pass",
+      "sizes": [
+        {
+          "size": [
+            256,
+            256
+          ],
+          "predict_masks_equal": 4,
+          "pixels": 262144,
+          "disagreeing_pixels": 0,
+          "unexplained_pixels": 0,
+          "max_abs_diff": 7.081031799316406e-05,
+          "scale": 25.228052139282227,
+          "rel_diff": 2.806808769944881e-06,
+          "float32_vs_float64": {
+            "max_abs_diff": 6.712365965899636e-05,
+            "scale": 25.228032129808962,
+            "rel_diff": 2.660677587281345e-06,
+            "samples": 4,
+            "of": 4,
+            "complete": true
+          }
+        }
+      ]
+    },
+    "tool": "tools/hf_onnx_export.py",
+    "stamped_at": "2026-09-07T16:19:01+00:00"
+  }
+}