| { |
| "cases": [ |
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| "shape": [1, 2, 5], |
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| "inputT": { |
| "shape": [1, 2, 1], |
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| }, |
| { |
| "name": "scalar_f16_state_bias_silu_cast_boundary", |
| "attrs": { "activation": "silu" }, |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 3], |
| "dtype": "float16", |
| "data": { "kind": "values", "values": [1.001, -0.731, 0.287] } |
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| { |
| "name": "kernel_size_one", |
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| "shape": [2, 2, 3], |
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| "presentStateT": { "shape": [2, 2, 0], "dtype": "float32" } |
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| { |
| "name": "input_shorter_than_state_zero_padding", |
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| "inputT": { "shape": [1, 1, 2], "dtype": "float32", "data": { "kind": "values", "values": [2.0, 3.0] } }, |
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| "presentStateT": { "shape": [1, 1, 4], "dtype": "float32" } |
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| { |
| "name": "zero_length_reemits_past_state", |
| "inputs": { |
| "inputT": { "shape": [1, 1, 0], "dtype": "float32", "data": { "kind": "values", "values": [] } }, |
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| "pastStateT": { "shape": [1, 1, 2], "dtype": "float32", "data": { "kind": "values", "values": [4.0, 5.0] } } |
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| "outputs": { |
| "outputT": { "shape": [1, 1, 0], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 1, 2], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "vec4_zero_state_f16_silu", |
| "attrs": { "activation": "silu" }, |
| "inputs": { |
| "inputT": { |
| "shape": [2, 3, 8], |
| "dtype": "float16", |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.23, "scale": 0.25 } |
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| "weightT": { |
| "shape": [3, 1, 4], |
| "dtype": "float16", |
| "data": { "kind": "fillFloat32", "sinStep": 0.27, "cosStep": 0.11, "scale": 0.2 } |
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| "outputs": { |
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| "presentStateT": { "shape": [2, 3, 3], "dtype": "float16" } |
| } |
| }, |
| { |
| "name": "vec4_bias_no_state_swish", |
| "attrs": { "activation": "swish" }, |
| "inputs": { |
| "inputT": { |
| "shape": [1, 2, 8], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.21, "cosStep": 0.13, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [2, 1, 3], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.09, "cosStep": 0.31, "scale": 0.2 } |
| }, |
| "biasT": { |
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| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.33, "cosStep": 0.07, "scale": 0.1 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 2, 8], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 2, 2], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "vec4_state_no_bias", |
| "inputs": { |
| "inputT": { |
| "shape": [1, 2, 4], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.15, "cosStep": 0.25, "scale": 0.25 } |
| }, |
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| "dtype": "float32", |
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| "shape": [1, 2, 1], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.29, "scale": 0.25 } |
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| }, |
| "outputs": { |
| "outputT": { "shape": [1, 2, 4], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 2, 1], "dtype": "float32" } |
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| }, |
| { |
| "name": "vec4_state_bias_silu", |
| "attrs": { "activation": "silu" }, |
| "inputs": { |
| "inputT": { |
| "shape": [1, 2, 8], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.27, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [2, 1, 4], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.25, "cosStep": 0.13, "scale": 0.2 } |
| }, |
| "biasT": { |
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| "data": { "kind": "fillFloat32", "sinStep": 0.39, "cosStep": 0.05, "scale": 0.1 } |
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| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.33, "scale": 0.25 } |
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| "outputs": { |
| "outputT": { "shape": [1, 2, 8], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 2, 3], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "tiled_zero_state", |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 256], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.03, "cosStep": 0.05, "scale": 0.25 } |
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| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.09, "scale": 0.1 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 1, 256], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 1, 31], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "tiled_bias_no_state_silu", |
| "attrs": { "activation": "silu" }, |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 256], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.04, "cosStep": 0.06, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [1, 1, 32], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.08, "cosStep": 0.1, "scale": 0.1 } |
| }, |
| "biasT": { "shape": [1], "dtype": "float32", "data": { "kind": "constant", "value": 0.05 } } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 1, 256], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 1, 31], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "tiled_state_no_bias", |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 256], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.05, "cosStep": 0.07, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [1, 1, 32], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.09, "cosStep": 0.11, "scale": 0.1 } |
| }, |
| "pastStateT": { |
| "shape": [1, 1, 31], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.17, "scale": 0.25 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 1, 256], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 1, 31], "dtype": "float32" } |
| } |
| }, |
| { |
| "name": "tiled_state_bias_f16_swish", |
| "attrs": { "activation": "swish" }, |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 256], |
| "dtype": "float16", |
| "data": { "kind": "fillFloat32", "sinStep": 0.06, "cosStep": 0.08, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [1, 1, 32], |
| "dtype": "float16", |
| "data": { "kind": "fillFloat32", "sinStep": 0.1, "cosStep": 0.12, "scale": 0.1 } |
| }, |
| "biasT": { "shape": [1], "dtype": "float16", "data": { "kind": "constant", "value": -0.05 } }, |
| "pastStateT": { |
| "shape": [1, 1, 31], |
| "dtype": "float16", |
| "data": { "kind": "fillFloat32", "sinStep": 0.14, "cosStep": 0.18, "scale": 0.25 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 1, 256], "dtype": "float16" }, |
| "presentStateT": { "shape": [1, 1, 31], "dtype": "float16" } |
| } |
| }, |
| { |
| "name": "tiled_zero_state_unaligned_k35_weight_tile_pad", |
| "inputs": { |
| "inputT": { |
| "shape": [1, 1, 256], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.03, "cosStep": 0.05, "scale": 0.25 } |
| }, |
| "weightT": { |
| "shape": [1, 1, 35], |
| "dtype": "float32", |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.09, "scale": 0.1 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "shape": [1, 1, 256], "dtype": "float32" }, |
| "presentStateT": { "shape": [1, 1, 34], "dtype": "float32" } |
| }, |
| "provenance": { |
| "notes": "A three-tap filter leaves one lane in the final four-tap weight tile, which must be zero-padded before the tiled convolution." |
| } |
| } |
| ] |
| } |
|
|
