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| "lp2_2d_kernel2_stride1_input_x": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] |
| }, |
| "cases": [ |
| { |
| "name": "global_pool_parallel_rank5_f32", |
| "attrs": { "p": 2, "kernel_shape": [4, 8, 8] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 4, 8, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.07, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1, 1], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "float16_2d_k2s2_vec4", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 1, 4, 8], |
| "data": { |
| "kind": "values", |
| "values": [1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0, -9.0, 10.0, -11.0, 12.0, -13.0, 14.0, -15.0, 16.0, 0.5, -1.5, 2.5, -3.5, 4.5, -5.5, 6.5, -7.5, -8.5, 9.5, -10.5, 11.5, -12.5, 13.5, -14.5, 15.5] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 1, 2, 4], "tolerance": 0.02 } } |
| }, |
| { |
| "name": "dispatch_cliff_nchw2d_unrolled_p2_identity", |
| "attrs": { "p": 2, "kernel_shape": [1, 1] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 256, 256, 257], |
| "data": { "kind": "linspace", "start": -1.0, "end": 1.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 256, 256, 257], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "lp2_1d_kernel2_stride1", |
| "attrs": { "kernel_shape": [2] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 3], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool1d" } |
| }, |
| { |
| "name": "f32_p2_1d_tiny_square_norm_gpu_gap", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.LpPool1d", |
| "notes": "Tiny normal inputs have positive subnormal squares; LpPool p=2 should return a tiny nonzero norm instead of zero." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2], "strides": [2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4], |
| "data": { "kind": "values", "values": [1e-20, -1e-20, 2e-20, -2e-20] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2], "tolerance": 1e-25 } }, |
| "skipGpu": { |
| "category": "permanent", |
| "reason": "Portable WGSL floating-point semantics do not guarantee preservation of the subnormal values required by this fixture. Backend evidence: Metal flushes f32 subnormals to zero (FTZ); subnormal-magnitude values cannot survive the GPU arithmetic path." |
| } |
| }, |
| { |
| "name": "onnx_backend_1d_default_p3_shape", |
| "attrs": { "p": 3, "kernel_shape": [2] }, |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_1d_default", |
| "test": "test_lppool_1d_default", |
| "notes": "Uses the official backend shape and attributes with deterministic fixture data." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.037, "cosStep": 0.091, "scale": 1.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 31], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "lp2_1d_kernel3_stride2", |
| "attrs": { "p": 2, "kernel_shape": [3], "strides": [2] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool1d" } |
| }, |
| { |
| "name": "ort_gen_lp2_1d_kernel2_stride2", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/lp_pool_test_generator.py", |
| "test": "generate_lppool_1d_test_cases", |
| "notes": "Generator combination missing from the handwritten C++ cases: p=2, kernel_size=2, stride=2." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2], "strides": [2] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2], |
| "tolerance": 0.00001, |
| "data": { "kind": "values", "values": [2.23606798, 5.0] } |
| } |
| } |
| }, |
| { |
| "name": "ort_gen_lp2_1d_kernel3_stride1", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/lp_pool_test_generator.py", |
| "test": "generate_lppool_1d_test_cases", |
| "notes": "Generator combination missing from the handwritten C++ cases: p=2, kernel_size=3, stride=1." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [3] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2], |
| "tolerance": 0.00001, |
| "data": { "kind": "values", "values": [3.74165739, 5.38516481] } |
| } |
| } |
| }, |
| { |
| "name": "lp1_ceil_shape_partial_window", |
| "attrs": { "p": 1, "ceil_mode": 1, "kernel_shape": [3], "strides": [2] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPoolCeilMode" } |
| }, |
| { |
| "name": "lp2_2d_kernel2_stride1", |
| "attrs": { "p": 2, "kernel_shape": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 3, 3], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool2d" } |
| }, |
| { |
| "name": "ort_gen_lp2_2d_kernel2_stride2", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/lp_pool_test_generator.py", |
| "test": "generate_lppool_2d_test_cases", |
| "notes": "Generator combination p=2, kernel_size=[2,2], stride=[2,2]." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "tolerance": 0.00001, |
| "data": { "kind": "values", "values": [8.1240384, 11.7473401, 23.3666429, 27.3130006] } |
| } |
| } |
| }, |
| { |
| "name": "ort_gen_lp2_2d_kernel3_stride1", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/lp_pool_test_generator.py", |
| "test": "generate_lppool_2d_test_cases", |
| "notes": "Generator combination p=2, kernel_size=[3,3], stride=[1,1]." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "tolerance": 0.00001, |
| "data": { "kind": "values", "values": [20.6397674, 23.3023604, 31.6543836, 34.5108679] } |
| } |
| } |
| }, |
| { |
| "name": "ort_gen_lp2_2d_kernel3_stride2", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/lp_pool_test_generator.py", |
| "test": "generate_lppool_2d_test_cases", |
| "notes": "Generator combination p=2, kernel_size=[3,3], stride=[2,2]." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [3, 3], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 1, 1], |
| "tolerance": 0.00001, |
| "data": { "kind": "values", "values": [20.6397674] } |
| } |
| } |
| }, |
| { |
| "name": "f32_p2_2d_tiny_square_norm_gpu_gap", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.LpPool2d", |
| "notes": "Tiny normal inputs have positive subnormal squares; 2D LpPool p=2 should return a tiny nonzero norm instead of zero." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "data": { "kind": "values", "values": [1e-20, -1e-20, 2e-20, -2e-20] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 1], "tolerance": 1e-25 } }, |
| "skipGpu": { |
| "category": "permanent", |
| "reason": "Portable WGSL floating-point semantics do not guarantee preservation of the subnormal values required by this fixture. Backend evidence: Metal flushes f32 subnormals to zero (FTZ); subnormal-magnitude values cannot survive the GPU arithmetic path." |
| } |
| }, |
| { |
| "name": "f32_p2_3d_tiny_square_norm_gpu_gap", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.LpPool", |
| "notes": "Rank-5/3D variant of the tiny-square LpPool p=2 edge for the NCDHW kernel." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 1, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 1, 2], |
| "data": { "kind": "values", "values": [1e-20, -1e-20, 2e-20, -2e-20] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 1, 1], "tolerance": 1e-25 } }, |
| "skipGpu": { |
| "category": "permanent", |
| "reason": "Portable WGSL floating-point semantics do not guarantee preservation of the subnormal values required by this fixture. Backend evidence: Metal flushes f32 subnormals to zero (FTZ); subnormal-magnitude values cannot survive the GPU arithmetic path." |
| } |
| }, |
| { |
| "name": "lp2_2d_padded", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "pads": [1, 1, 1, 1] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "data": { "kind": "values", "values": [1.0, -2.0, -3.0, 4.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 3, 3], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "float16_1d", |
| "attrs": { "p": 2, "kernel_shape": [2] }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, -2.0, 3.0, -4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 1, 3], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "ort_1d_kernel2_stride2", |
| "attrs": { "p": 2, "kernel_shape": [2], "strides": [2] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool1d" } |
| }, |
| { |
| "name": "ort_1d_kernel3_stride1", |
| "attrs": { "p": 2, "kernel_shape": [3] }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool1d" } |
| }, |
| { |
| "name": "ort_2d_kernel2_stride2", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 2], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool2d" } |
| }, |
| { |
| "name": "ort_2d_kernel3_stride1", |
| "attrs": { "p": 2, "kernel_shape": [3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 2], "tolerance": 0.0001 } }, |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool2d" } |
| }, |
| { |
| "name": "lp3_2d_signed_values", |
| "attrs": { "p": 3, "kernel_shape": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0, 9.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 2], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "float16_2d_signed_values", |
| "attrs": { "p": 2, "kernel_shape": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 1, 3, 3], |
| "data": { "kind": "values", "values": [1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0, 9.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 1, 2, 2], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "ort_2d_kernel3_stride2", |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.LpPool2d" }, |
| "attrs": { "p": 2, "kernel_shape": [3, 3], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 1], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "onnx_backend_lppool_1d_default", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_1d_default" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32], |
| "data": { |
| "kind": "values", |
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| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 31], "tolerance": 0.00001 } }, |
| "attrs": { "p": 3, "kernel_shape": [2] } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_default", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_default" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32, 32], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/onnx_backend_lppool_2d_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 31, 31], "tolerance": 0.00001 } }, |
| "attrs": { "p": 4, "kernel_shape": [2, 2] } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_pads", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_pads" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
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| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 30, 30], "tolerance": 0.00001 } }, |
| "attrs": { "p": 3, "kernel_shape": [3, 3], "pads": [2, 2, 2, 2] } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_strides", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_strides" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32, 32], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/onnx_backend_lppool_2d_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 10, 10], "tolerance": 0.00001 } }, |
| "attrs": { "p": 2, "kernel_shape": [5, 5], "strides": [3, 3] } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_dilations", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_dilations" }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "dilations": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 2], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "onnx_backend_lppool_3d_default_shape", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_3d_default", |
| "notes": "Uses the official rank-5 shape and default attributes with deterministic generated data to avoid committing the large random tensor literal." |
| }, |
| "attrs": { "p": 3, "kernel_shape": [2, 2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.009, "cosStep": 0.014, "scale": 1.25 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 31, 31, 31], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_same_upper", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_same_upper", |
| "test": "test_lppool_2d_same_upper", |
| "notes": "Official SAME_UPPER attributes represented with equivalent explicit pads and deterministic fixture data." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "pads": [0, 0, 1, 1] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.021, "cosStep": 0.057, "scale": 1.3 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 32, 32], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_same_lower", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_same_lower", |
| "test": "test_lppool_2d_same_lower", |
| "notes": "Official SAME_LOWER attributes represented with equivalent explicit pads and deterministic fixture data." |
| }, |
| "attrs": { "p": 4, "kernel_shape": [2, 2], "pads": [1, 1, 0, 0] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.021, "cosStep": 0.057, "scale": 1.3 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 32, 32], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "ort_rank4_lp2_1x3x9x9_generated", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.LpPool", |
| "notes": "Uses ORT's rank-4 kernel_shape=[3,3], strides=[1,1], pads=[0,0,0,0] contract with deterministic fixture data." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 9, 9], |
| "data": { "kind": "fillFloat32", "sinStep": 0.029, "cosStep": 0.041, "scale": 1.15 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 7, 7], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_autopad_same_upper_stride2", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_same_upper", |
| "notes": "Raw ONNX auto_pad attribute on a small stride-2 fixture; extra pad is assigned to bottom/right." |
| }, |
| "attrs": { "auto_pad": "SAME_UPPER", "p": 2, "kernel_shape": [3, 3], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "data": { "kind": "values", "values": [20.639767, 20.07486, 29.86637, 27.313] }, |
| "tolerance": 0.0001 |
| } |
| } |
| }, |
| { |
| "name": "onnx_backend_lppool_2d_autopad_same_lower_stride2", |
| "provenance": { |
| "source": "cmake/external/onnx/onnx/backend/test/data/node/test_lppool_2d_same_lower", |
| "notes": "Raw ONNX auto_pad attribute on a small stride-2 fixture; extra pad is assigned to top/left." |
| }, |
| "attrs": { "auto_pad": "SAME_LOWER", "p": 2, "kernel_shape": [3, 3], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { "kind": "values", "values": { "$ref": "#/fixtureArrays/lp2_2d_kernel2_stride1_input_x" } } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 1, 2, 2], |
| "data": { "kind": "values", "values": [8.124039, 13.341664, 24.63737, 34.510868] }, |
| "tolerance": 0.0001 |
| } |
| } |
| }, |
| { |
| "name": "autopad_same_upper_stride2_p3", |
| "provenance": { |
| "notes": "General-p regression for the auto-pad layout; p=1 and p=2 specialize the exponent out of the shader." |
| }, |
| "attrs": { "auto_pad": "SAME_UPPER", "p": 3, "kernel_shape": [3, 3], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 4, 4], |
| "data": { |
| "kind": "values", |
| "values": [1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0, 9.0, -10.0, 11.0, -12.0, 13.0, -14.0, 15.0, -16.0] |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 2], "tolerance": 0.0001 } } |
| }, |
| { |
| "name": "empty_zero_dim", |
| "attrs": { "p": 2, "kernel_shape": [2, 2] }, |
| "inputs": { "x": { "dtype": "float32", "shape": [0, 2, 3, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [0, 2, 2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "empty_zero_dim_f16", |
| "attrs": { "p": 2, "kernel_shape": [2, 2] }, |
| "inputs": { "x": { "dtype": "float16", "shape": [0, 2, 3, 3], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "float16", "shape": [0, 2, 2, 2], "tolerance": 0 } } |
| }, |
| { |
| "name": "f16_2d_k2s2_vec4_realistic", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 4, 8, 8], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 4, 4, 4], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_2d_k2s2_vec4_p3_pow", |
| "attrs": { "p": 3, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 4, 8], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 2, 4], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_3d_ncdhw_k2s2_p2", |
| "attrs": { "p": 2, "kernel_shape": [2, 2, 2], "strides": [2, 2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 4, 4, 4], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 2, 2, 2], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f32_2d_k2s2_p2_unrolled_2x16x32x32", |
| "provenance": { |
| "notes": "Compact f32 sibling for the k2/s2 p=2 LpPool unrolled benchmark; preserves dense NCHW planes and the stride-2 2x2 reduction shape." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 16, 32, 32], |
| "data": { "kind": "fillFloat32", "sinStep": 0.017, "cosStep": 0.029, "scale": 0.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 16, 16, 16], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "f32_3d_ncdhw_k2s2_p2_volumetric_1x4x8x8x8", |
| "provenance": { |
| "notes": "Compact f32 sibling for the volumetric k2/s2 p=2 LpPool benchmark; covers the rank-5 NCDHW 3D pooling path with nontrivial channel and depth work." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [2, 2, 2], "strides": [2, 2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 4, 8, 8, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.031, "scale": 0.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 4, 4, 4, 4], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "f16_2d_unrolled_oddW_k2s2", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 6, 6], |
| "data": { |
| "kind": "values", |
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| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 3, 3], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_2d_ceil_partial_window_k2s2", |
| "attrs": { "p": 2, "ceil_mode": 1, "kernel_shape": [2, 2], "strides": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 7, 7], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 4, 4], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "f16_2d_dilations_k2", |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "dilations": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
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| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 6, 6], "tolerance": 0.01 } } |
| }, |
| { |
| "name": "empty_spatial_output_nchw2d_fallback", |
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| "inputs": { "x": { "dtype": "float32", "shape": [1, 2, 1, 1] } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 0, 0] } } |
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| { |
| "name": "f16_k2s2_vec4_p1_sumabs", |
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| "inputs": { |
| "x": { |
| "dtype": "float16", |
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| "data": { |
| "kind": "values", |
| "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 4.0, 4.0, 4.0, 4.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0] |
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| "outputs": { |
| "y": { |
| "dtype": "float16", |
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| "data": { "kind": "values", "values": [5.0, 9.0, 15.0, 19.0, 7.0, 7.0, 9.0, 9.0] } |
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| { |
| "name": "ncl1d_padded_boundary_p2", |
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| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 4], "data": { "kind": "values", "values": [1.0, 2.0, 3.0, 4.0] } } |
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| "outputs": { |
| "y": { |
| "dtype": "float32", |
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| "data": { "kind": "values", "values": [2.2360679775, 3.7416573868, 5.3851648071, 5.0] } |
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| { |
| "name": "nchw2d_fallback_bigkernel_p1_correctness_smallocc", |
| "attrs": { "p": 1, "kernel_shape": [5, 5] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
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| "kind": "values", |
| "values": [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0] |
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| "outputs": { |
| "y": { "dtype": "float32", "shape": [1, 2, 1, 1], "data": { "kind": "values", "values": [325.0, 50.0] } } |
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| }, |
| { |
| "name": "lppool3d_depth_dilation2_compact", |
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| "source": "ONNX LpPool-22 volumetric dilation semantics", |
| "notes": "Covers a non-default depth dilation. Existing 3D LpPool fixtures varied kernel/stride but kept dilationD=1." |
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| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 2, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ncl1d_k4s2_p2_x4_tail_two_planes", |
| "provenance": { |
| "notes": "Exercises four-output L2 reuse plus the three-output final block without reading beyond the final plane. Expected values come from the TypeScript LpPool reference." |
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| "attrs": { "p": 2, "kernel_shape": [4], "strides": [2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 16], |
| "data": { "kind": "fillFloat32", "sinStep": 0.29, "scale": 2.0 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 7], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "separable_k7s2_p2_padded_partial_windows", |
| "attrs": { "p": 2, "kernel_shape": [7, 7], "strides": [2, 2], "pads": [3, 3, 3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 12, 12], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.043, "scale": 0.3 } |
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| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 6, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "separable_k7_p2_dilated2_nopad", |
| "attrs": { "p": 2, "kernel_shape": [7, 7], "dilations": [2, 2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 20, 20], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.043, "scale": 0.3 } |
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| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 8, 8], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "separable_k7s2_p1_absolute_sum", |
| "attrs": { "p": 1, "kernel_shape": [7, 7], "strides": [2, 2], "pads": [3, 3, 3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 12, 12], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.043, "scale": 0.3 } |
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| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 6, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "separable_k7s2_p3_generic_pow", |
| "attrs": { "p": 3, "kernel_shape": [7, 7], "strides": [2, 2], "pads": [3, 3, 3, 3] }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 12, 12], |
| "data": { "kind": "fillFloat32", "sinStep": 0.11, "cosStep": 0.043, "scale": 0.3 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 6, 6], "tolerance": 0.00002 } } |
| }, |
| { |
| "name": "ncl1d_k4s2_p2_x4_f16", |
| "provenance": { |
| "notes": "float16 on the coarsened rank-3 pooling path uses p=2, kernel width four, stride two, no padding, and an input length divisible by four." |
| }, |
| "attrs": { "p": 2, "kernel_shape": [4], "strides": [2] }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 16], |
| "data": { "kind": "fillFloat32", "sinStep": 0.023, "cosStep": 0.041, "scale": 0.5 } |
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| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 7], "tolerance": 0.01 } } |
| } |
| ] |
| } |
|
|
