| { |
| "fixtureArrays": { |
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| }, |
| "cases": [ |
| { |
| "name": "rank3_exact_skip_shape", |
| "provenance": { |
| "source": "onnxruntime/contrib_ops/cpu/bert/skip_layer_norm.cc", |
| "notes": "Pins the public rank-3 same-shape skip mode independently of the two documented broadcast forms." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [2, 2, 4], "data": { "kind": "linspace", "start": -1.5, "end": 1.5 } }, |
| "skipT": { "dtype": "float32", "shape": [2, 2, 4], "data": { "kind": "linspace", "start": 0.75, "end": -0.25 } }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 0.5, 1.5, -0.25] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.1, -0.2, 0.3, -0.4] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [2, 2, 4], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "no_bias", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.13, "scale": 0.1 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.00002 }, |
| "residualT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "f32_epsilon_zero_explicit_tiny_variance", |
| "attrs": { "epsilon": 0 }, |
| "provenance": { |
| "source": "onnxruntime/contrib_ops/webgpu/bert/skip_layer_norm.h", |
| "test": "GetAttrOrDefault epsilon semantics", |
| "notes": "An explicit epsilon=0.0 must be honored, not replaced by the 1e-12 schema default via a truthiness fallback. The 1e-7-scale rows make that difference numerically observable." |
| }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31, "scale": 1e-7 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23, "scale": 1e-7 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.13, "scale": 0.1 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.0001 }, |
| "residualT": { "dtype": "float32", "shape": [3, 8], "tolerance": 1e-9 } |
| } |
| }, |
| { |
| "name": "bias", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.13, "scale": 0.1 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.29, "cosStep": 0.17, "scale": 0.08 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.00002 }, |
| "residualT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "zero_variance_returns_beta", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [5.0, 5.0, 5.0, 5.0, -3.0, -3.0, -3.0, -3.0] } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [1.0, 1.0, 1.0, 1.0, 7.0, 7.0, 7.0, 7.0] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [10.0, -2.0, 3.0, 4.0] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.5, -1.0, 2.0, -3.0] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [2, 4], "tolerance": 0.000001 }, |
| "residualT": { "dtype": "float32", "shape": [2, 4], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "hidden_size_one_bias_path", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [3, 1], "data": { "kind": "values", "values": [2.0, -4.0, 0.5] } }, |
| "skipT": { "dtype": "float32", "shape": [3, 1], "data": { "kind": "values", "values": [3.0, 1.0, -0.5] } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-2.0] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.25] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 1], "tolerance": 0.000001 }, |
| "residualT": { "dtype": "float32", "shape": [3, 1], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "hidden_size_one_bias_output_only", |
| "provenance": { |
| "notes": "Pins the scalar hidden-size-one closed form when the optional residual sum is not requested." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [1, 1], "data": { "kind": "values", "values": [2.0] } }, |
| "skipT": { "dtype": "float32", "shape": [1, 1], "data": { "kind": "values", "values": [3.0] } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-2.0] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.25] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "hidden_size_one_no_beta_output_only", |
| "provenance": { |
| "notes": "Pins the supported no-beta hidden-size-one closed form: every centered value is zero, so the output is zero." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [1, 1], "data": { "kind": "values", "values": [2.0] } }, |
| "skipT": { "dtype": "float32", "shape": [1, 1], "data": { "kind": "values", "values": [3.0] } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [7.0] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "hidden_size_one_bias_rows65535_dispatch_edge", |
| "provenance": { |
| "notes": "Hidden size 1 across 65,535 rows exercises the maximum single-dimension workgroup count with one value per normalization row." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [65535, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [65535, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [65535, 1], "tolerance": 0.000001 }, |
| "residualT": { "dtype": "float32", "shape": [65535, 1], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "large_mean_small_variance_centered", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [1, 4], |
| "data": { "kind": "values", "values": [40000.0, 40001.0, 40002.0, 40003.0] } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [1, 4], |
| "data": { "kind": "values", "values": [-39999.0, -39999.5, -40000.0, -40000.5] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 2.0, -1.0, 0.5] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.0, 0.5, -0.25, 1.0] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [1, 4], "tolerance": 0.000001 }, |
| "residualT": { "dtype": "float32", "shape": [1, 4], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "ort_zero_tokens_null_input", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormNullInput", |
| "notes": "ORT shape [1, 0, 4] is represented as lowered token rows [0, 4]." |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [0, 4], "data": { "kind": "values", "values": [] } }, |
| "skipT": { "dtype": "float32", "shape": [0, 4], "data": { "kind": "values", "values": [] } }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [0, 4], "tolerance": 0 }, |
| "residualT": { "dtype": "float32", "shape": [0, 4], "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "ort_batch1_flattened_tokens", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch1", |
| "notes": "This package flattens ORT shape [1, 2, 4] to two four-wide token rows. Epsilon is omitted to exercise the schema default of 1e-12." |
| }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [0.8, -0.5, 0.0, 1.0, 0.5, 0.2, 0.3, -0.6] } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [0.1, -0.2, 0.3, 1.0, 0.5, 0.1, 0.4, 1.6] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [2, 4], "tolerance": 0.00002 }, |
| "residualT": { "dtype": "float32", "shape": [2, 4], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "ort_batch2_bias_flattened_tokens", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch2_Bias", |
| "notes": "This package flattens ORT shape [2, 2, 4] to four four-wide token rows." |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [4, 4], |
| "data": { |
| "kind": "values", |
| "values": [0.7, -0.4, -0.2, 1.2, 0.4, 0.3, 0.1, -0.4, 0.7, -0.4, -0.2, 1.2, 0.4, 0.3, 0.1, -0.4] |
| } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [4, 4], |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_batch2_bias_flattened_tokens_input_skipT" } |
| } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } }, |
| "biasT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.1, -0.1, 0.2, -0.2] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [4, 4], "tolerance": 0.00002 }, |
| "residualT": { "dtype": "float32", "shape": [4, 4], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "ort_batch2_flattened_tokens", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch2", |
| "notes": "This package flattens ORT shape [2, 2, 4] to four four-wide token rows." |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/ort_batch2_flattened_tokens_input_inputT" } } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [4, 4], |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_batch2_bias_flattened_tokens_input_skipT" } |
| } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [4, 4], "tolerance": 0.00002 }, |
| "residualT": { "dtype": "float32", "shape": [4, 4], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "large_hidden_320_no_bias", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 320], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 320], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [320], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [320], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [2, 320], "tolerance": 0.0002 }, |
| "residualT": { "dtype": "float32", "shape": [2, 320], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "large_hidden_320_bias", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 320], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.013, "cosStep": 0.029 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 320], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.019, "cosStep": 0.037 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [320], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.029, "cosStep": 0.017 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [320], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.023, "cosStep": 0.011 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [320], |
| "data": { "kind": "fillFloat32", "scale": 0.05, "sinStep": 0.031, "cosStep": 0.007 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [2, 320], "tolerance": 0.0002 }, |
| "residualT": { "dtype": "float32", "shape": [2, 320], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "ort_batch2_skip_broadcast_no_batch_size", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch2_Skip_Broadcast_No_Batch_Size" |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 2, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/ort_batch2_flattened_tokens_input_inputT" } } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [0.1, -0.2, 0.3, 1.0, 0.5, 0.1, 0.4, 1.6] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } } |
| }, |
| "outputs": { |
| "outputT": { |
| "dtype": "float32", |
| "shape": [2, 2, 4], |
| "tolerance": 0.00002, |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_batch2_skip_broadcast_no_batch_size_output_outputT" } |
| } |
| } |
| } |
| }, |
| { |
| "name": "ort_batch1_no_beta_flattened_tokens", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch1_NoBeta", |
| "notes": "ORT shape [1, 2, 4] is represented as [2, 4] tokens by this lowered fixture, with beta omitted." |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [0.8, -0.5, 0.0, 1.0, 0.5, 0.2, 0.3, -0.6] } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "data": { "kind": "values", "values": [0.1, -0.2, 0.3, 1.0, 0.5, 0.1, 0.4, 1.6] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } } |
| }, |
| "outputs": { |
| "outputT": { |
| "dtype": "float32", |
| "shape": [2, 4], |
| "tolerance": 0.00002, |
| "data": { |
| "kind": "values", |
| "values": [0.0843385934829712, -0.27090578377246854, -1.3289716482162477, 3.092415237426758, 0.2611165225505829, -0.3133398056030273, -0.6963100373744965, 1.9148544311523439] |
| } |
| } |
| } |
| }, |
| { |
| "name": "no_beta_output_only_hidden6_unaligned_row", |
| "provenance": { |
| "notes": "Beta and optional outputs are omitted; hidden size six exercises a non-four-aligned row." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [2, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "beta_no_bias_output_only", |
| "provenance": { |
| "notes": "Exercises beta with all three optional auxiliary outputs absent, using a vec4-aligned hidden size of 8." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "beta_no_bias_output_only_hidden6_unaligned_row", |
| "provenance": { |
| "notes": "Beta is present, bias and optional outputs are omitted, and hidden size 6 leaves a partial four-element storage group." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.37 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.43 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [2, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "beta_bias_output_only", |
| "provenance": { |
| "notes": "bias + beta with no optional outputs uses six storage buffers instead of the nine required when all optional outputs are present. It therefore remains valid at WebGPU's guaranteed minimum of eight storage buffers." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.05, "cosStep": 0.47, "scale": 0.3 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 8], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "beta_bias_output_only_hidden6_unaligned_row", |
| "provenance": { |
| "notes": "Row-kernel arm of beta_bias_output_only: hidden=6 fails vec4Aligned. 6 storage buffers." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.37 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.43 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.05, "cosStep": 0.47, "scale": 0.3 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [2, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "ort_batch2_skip_broadcast_batch_size_one", |
| "provenance": { |
| "source": "onnxruntime/test/contrib_ops/skiplayernorm_op_test.cc", |
| "test": "SkipLayerNormTest.SkipLayerNormBatch2_Skip_Broadcast_Batch_Size_1" |
| }, |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 2, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/ort_batch2_flattened_tokens_input_inputT" } } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [1, 2, 4], |
| "data": { "kind": "values", "values": [0.1, -0.2, 0.3, 1.0, 0.5, 0.1, 0.4, 1.6] } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } } |
| }, |
| "outputs": { |
| "outputT": { |
| "dtype": "float32", |
| "shape": [2, 2, 4], |
| "tolerance": 0.00002, |
| "data": { |
| "kind": "values", |
| "values": { "$ref": "#/fixtureArrays/ort_batch2_skip_broadcast_no_batch_size_output_outputT" } |
| } |
| } |
| } |
| }, |
| { |
| "name": "f16_hidden768_bias_residual", |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float16", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| }, |
| "biasT": { |
| "dtype": "float16", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.05, "sinStep": 0.031, "cosStep": 0.007 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float16", "shape": [4, 768], "tolerance": 0.01 }, |
| "residualT": { "dtype": "float16", "shape": [4, 768], "tolerance": 0.005 } |
| } |
| }, |
| { |
| "name": "f32_hidden768_no_bias_residual", |
| "provenance": { |
| "notes": "A compact hidden-size-768 residual normalization exercises the subgroup route and its reduced-tier fallback without bias." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [4, 768], "tolerance": 0.0002 }, |
| "residualT": { "dtype": "float32", "shape": [4, 768], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "f32_hidden2048_bias_residual", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [2, 2048], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.013, "cosStep": 0.029 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [2, 2048], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.019, "cosStep": 0.037 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [2048], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.029, "cosStep": 0.017 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [2048], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.023, "cosStep": 0.011 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [2048], |
| "data": { "kind": "fillFloat32", "scale": 0.05, "sinStep": 0.031, "cosStep": 0.007 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [2, 2048], "tolerance": 0.0005 }, |
| "residualT": { "dtype": "float32", "shape": [2, 2048], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "f32_hidden1025_bias_residual", |
| "provenance": { |
| "notes": "A compact hidden-size-1025 normalization exercises the unaligned two-pass path with bias and residual output." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 1025], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.013, "cosStep": 0.029 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 1025], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.019, "cosStep": 0.037 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [1025], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.029, "cosStep": 0.017 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [1025], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.023, "cosStep": 0.011 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [1025], |
| "data": { "kind": "fillFloat32", "scale": 0.05, "sinStep": 0.031, "cosStep": 0.007 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 1025], "tolerance": 0.0005 }, |
| "residualT": { "dtype": "float32", "shape": [3, 1025], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "f32_hidden770_unaligned_beta_bias_scalar_subgroup", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [3, 770], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [3, 770], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [770], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [770], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| }, |
| "biasT": { |
| "dtype": "float32", |
| "shape": [770], |
| "data": { "kind": "fillFloat32", "scale": 0.05, "sinStep": 0.031, "cosStep": 0.007 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [3, 770], "tolerance": 0.0002 }, |
| "residualT": { "dtype": "float32", "shape": [3, 770], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "f32_rows1_hidden4096_decode", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [1, 4096], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [1, 4096], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [4096], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [4096], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [1, 4096], "tolerance": 0.0005 }, |
| "residualT": { "dtype": "float32", "shape": [1, 4096], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "empty_tokens_bias_residual_twopass", |
| "attrs": { "epsilon": 1e-12 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [0, 4], "data": { "kind": "values", "values": [] } }, |
| "skipT": { "dtype": "float32", "shape": [0, 4], "data": { "kind": "values", "values": [] } }, |
| "gammaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.3, 0.2, 4.0, 2.2] } }, |
| "betaT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.2, 0.1, 0.4, 1.6] } }, |
| "biasT": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [0.1, -0.1, 0.2, -0.2] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [0, 4], "tolerance": 0 }, |
| "residualT": { "dtype": "float32", "shape": [0, 4], "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "rows65537_hidden3_fold_lastrow_guard", |
| "provenance": { |
| "notes": "Pins the two-dimensional dispatch fold and final-row guard with 65,537 hidden-size-3 rows; near-constant rows exercise float32 one-pass variance while the residual sum remains exact." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [65537, 3], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [65537, 3], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [1.0, 2.0, -1.0] } }, |
| "betaT": { "dtype": "float32", "shape": [3], "data": { "kind": "values", "values": [0.5, -0.25, 1.0] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [65537, 3], "tolerance": 0.0021 }, |
| "residualT": { "dtype": "float32", "shape": [65537, 3], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "hidden_size_one_bias_many_rows", |
| "provenance": { "notes": "Many hidden-size-one rows exercise the variance-zero bias path at a compact scale." }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [257, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [257, 1], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.25] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.5] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0.000001 }, |
| "residualT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0.000001 } |
| } |
| }, |
| { |
| "name": "rank3_no_bias_residual", |
| "provenance": { |
| "notes": "Rank-3 activation shape carrying the residual output, the form ONNX Runtime's transformer fusion emits when the pre-normalization sum feeds the next block." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [1, 4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.017, "cosStep": 0.031 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [1, 4, 768], |
| "data": { "kind": "fillFloat32", "scale": 0.2, "sinStep": 0.011, "cosStep": 0.023 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "offset": 1.0, "sinStep": 0.007, "cosStep": 0.041 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [768], |
| "data": { "kind": "fillFloat32", "scale": 0.1, "sinStep": 0.019, "cosStep": 0.013 } |
| } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [1, 4, 768], "tolerance": 0.0002 }, |
| "residualT": { "dtype": "float32", "shape": [1, 4, 768], "tolerance": 0.000002 } |
| } |
| }, |
| { |
| "name": "rank3_beta_no_bias_output_only_hidden6_unaligned_row", |
| "provenance": { |
| "notes": "Rank-3 at a hidden size that is not a multiple of four, so the scalar row route serves it." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float32", |
| "shape": [1, 2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.37 } |
| }, |
| "skipT": { |
| "dtype": "float32", |
| "shape": [1, 2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.43 } |
| }, |
| "gammaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float32", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [1, 2, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "f16_rank3_beta_bias_output_only", |
| "provenance": { |
| "notes": "Half-precision beta and bias at a rank-3 activation shape, the ordinary on-device inference form." |
| }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [1, 3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [1, 3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| }, |
| "biasT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.05, "cosStep": 0.47, "scale": 0.3 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [1, 3, 8], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_beta_bias_output_only_hidden6_unaligned_row", |
| "provenance": { "notes": "Half precision at an unaligned hidden size, which the scalar row route serves." }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.37 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.43 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| }, |
| "biasT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.05, "cosStep": 0.47, "scale": 0.3 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [2, 6], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_beta_no_bias_output_only", |
| "provenance": { "notes": "Half precision with beta and no bias." }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [3, 8], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_beta_no_bias_output_only_hidden6_unaligned_row", |
| "provenance": { "notes": "Half precision with beta, no bias, at an unaligned hidden size." }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.19, "cosStep": 0.37 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.23, "cosStep": 0.43 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| }, |
| "betaT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.29, "scale": 0.1 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [2, 6], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_no_beta_output_only_hidden6_unaligned_row", |
| "provenance": { "notes": "Half precision with neither beta nor bias, at an unaligned hidden size." }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [2, 6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [6], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [2, 6], "tolerance": 0.002 } } |
| }, |
| { |
| "name": "f16_no_beta_output_only", |
| "provenance": { |
| "notes": "Half precision with neither beta nor bias at an aligned hidden size, which is the vec4 arm of that pair." |
| }, |
| "requires": { "features": ["shader-f16"] }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { |
| "dtype": "float16", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.17, "cosStep": 0.31 } |
| }, |
| "skipT": { |
| "dtype": "float16", |
| "shape": [3, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.23 } |
| }, |
| "gammaT": { |
| "dtype": "float16", |
| "shape": [8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.07, "cosStep": 0.41, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [3, 8], "tolerance": 0.002 } } |
| }, |
| { |
| "name": "independent_rows_float32_257x1_option0_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_257x1_option1_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_257x1_option2_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_3x31x1_option2_wg1_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 1 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 31, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_3x31x1_option2_wg8_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 8 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 31, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_3x31x1_option2_wg64_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 64 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 31, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_3x31x1_option2_wg128_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 128 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [3, 31, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [3, 31, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float32_524289x1_option3_wg8_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 8 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [524289, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [524289, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { |
| "outputT": { "dtype": "float32", "shape": [524289, 1], "tolerance": 0, "allowNaN": false }, |
| "residualT": { "dtype": "float32", "shape": [524289, 1], "tolerance": 0 } |
| } |
| }, |
| { |
| "name": "independent_rows_float32_257x1_option2_wgdefault_epsilon0", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float32", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float32", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float32", "shape": [257, 1], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "independent_rows_float16_257x1_option0_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [1.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float16_257x1_option1_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [-0.25] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float16_257x1_option2_wgdefault_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 1.25 } }, |
| "skipT": { "dtype": "float16", "shape": [257, 1], "data": { "kind": "constant", "value": 0.5 } }, |
| "gammaT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [1.125] } }, |
| "betaT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [-0.25] } }, |
| "biasT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
| }, |
| "outputs": { "outputT": { "dtype": "float16", "shape": [257, 1], "tolerance": 0, "allowNaN": false } } |
| }, |
| { |
| "name": "independent_rows_float16_3x31x1_option2_wg1_epsilon0.00001", |
| "provenance": { |
| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 1 }, |
| "inputs": { |
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| "name": "independent_rows_float16_3x31x1_option2_wg64_epsilon0.00001", |
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| "name": "independent_rows_float16_3x31x1_option2_wg128_epsilon0.00001", |
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| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
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| "attrs": { "epsilon": 0.00001 }, |
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| "name": "independent_rows_float16_524289x1_option2_wg8_epsilon0.00001", |
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| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
| "tunables": { "MAX_WORKGROUP_SIZE": 8 }, |
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| "name": "independent_rows_float16_257x1_option2_wgdefault_epsilon0", |
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| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
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| "biasT": { "dtype": "float16", "shape": [1], "data": { "kind": "values", "values": [0.125] } } |
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| "outputs": { "outputT": { "dtype": "float16", "shape": [257, 1], "tolerance": 0, "allowNaN": true } } |
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| { |
| "name": "independent_rows_float32_257x1_option3_wgdefault_epsilon0.00001", |
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| "notes": "One-element normalization has an intrinsically uniform result. Uniform inputs pin its closed-form value, workgroup tails, optional outputs, and epsilon behavior; the GPU row-coverage test checks poisoned outputs and varying residuals separately." |
| }, |
| "attrs": { "epsilon": 0.00001 }, |
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| "attrs": { "epsilon": 0.00001 }, |
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| "attrs": { "epsilon": 0.00001 }, |
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| "name": "stats_mean_bias_residual", |
| "attrs": { "epsilon": 0.00001 }, |
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| "name": "stats_mean_bias_beta", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
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| "betaT": { "dtype": "float16", "shape": [5], "data": { "kind": "linspace", "start": 0.2, "end": -0.3 } } |
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| "outputs": { |
| "outputT": { "dtype": "float16", "shape": [2, 3, 5], "tolerance": 0.002, "relTolerance": 0.002 }, |
| "meanT": { "dtype": "float32", "shape": [2, 3, 1], "tolerance": 0.00001, "relTolerance": 0.00001 } |
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| { |
| "name": "stats_mean_bias_beta_residual", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float16", "shape": [2, 3, 5], "data": { "kind": "linspace", "start": -2.0, "end": 3.0 } }, |
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| "betaT": { "dtype": "float16", "shape": [5], "data": { "kind": "linspace", "start": 0.2, "end": -0.3 } } |
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| { |
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| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [2, 3, 5], "data": { "kind": "linspace", "start": -2.0, "end": 3.0 } }, |
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| }, |
| { |
| "name": "stats_inv_residual", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
| "inputT": { "dtype": "float32", "shape": [2, 3, 5], "data": { "kind": "linspace", "start": -2.0, "end": 3.0 } }, |
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| "outputs": { |
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| }, |
| { |
| "name": "stats_inv_beta", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
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| "outputs": { |
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| { |
| "name": "stats_inv_beta_residual", |
| "attrs": { "epsilon": 0.00001 }, |
| "inputs": { |
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| { |
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| "attrs": { "epsilon": 0.00001 }, |
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| }, |
| { |
| "name": "stats_inv_bias_residual", |
| "attrs": { "epsilon": 0.00001 }, |
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| } |
|
|
