| { |
| "op": "ai.onnx.GlobalMaxPool", |
| "cases": [ |
| { |
| "name": "dispatch_cliff_ncl1d", |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [65540, 256, 1], "data": { "kind": "linspace", "start": -1.0, "end": 1.0 } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [65540, 256, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "nchw", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 3, 2, 4], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 3, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "nchw_nan_propagates", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 4, 2, 2], |
| "data": { |
| "kind": "values", |
| "values": [1.0, "NaN", 3.0, 4.0, -5.0, -6.0, -7.0, -8.0, 9.0, 10.0, "NaN", 12.0, 0.0, -1.0, -2.0, -3.0] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 4, 1, 1], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "nchw_all_negative_infinity_returns_negative_infinity", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { |
| "kind": "values", |
| "values": ["-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity"] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "ncl_rank3", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 3, 4], |
| "data": { |
| "kind": "values", |
| "values": [-9.0, -3.0, -7.0, -1.0, 4.0, 4.0, 2.0, -5.0, -100.0, -50.0, -25.0, -75.0, 1.0, 9.0, 3.0, 7.0, -2.0, 6.0, 6.0, 5.0, 0.25, -0.5, 0.75, 0.5] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 3, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "f32_nchw2d_smallspatial_1x16x7x7", |
| "provenance": { |
| "notes": "Compact f32 sibling for the 7x7 small-spatial vec4-output benchmark; keeps channels small while exercising the same low-spatial output path." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 16, 7, 7], |
| "data": { "kind": "fillFloat32", "sinStep": 0.019, "cosStep": 0.029, "scale": 0.4 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 16, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "f32_positive_subnormal_rank4_vec4out_max_zero_gpu_gap", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.GlobalMaxPool", |
| "notes": "Exercises the rank-4 vec4-output kernel with subnormal maxima that should beat zero." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 4, 1, 4], |
| "data": { |
| "kind": "values", |
| "values": [0.0, 1e-40, 0.0, 0.0, 0.0, 0.0, 1e-38, 0.0, -1e-40, -2e-40, 0.0, -3e-40, 0.0, 5e-39, 2e-39, 0.0] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 4, 1, 1], "tolerance": 2e-45 } }, |
| "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_positive_subnormal_rank4_vec4out_tail_max_zero_gpu_gap", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.GlobalMaxPool", |
| "notes": "Covers the vec4-output tail path when output channels are not a multiple of four." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 5, 1, 4], |
| "data": { |
| "kind": "values", |
| "values": [0.0, 1e-40, 0.0, 0.0, 0.0, 0.0, 1e-38, 0.0, -1e-40, -2e-40, 0.0, -3e-40, 0.0, 5e-39, 2e-39, 0.0, 0.0, 7e-40, 0.0, 2e-40] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 5, 1, 1], "tolerance": 2e-45 } }, |
| "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": "ort_fp16_rank4_tied_max", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.GlobalMaxPool", |
| "notes": "Compact fp16 projection of ORT's typed GlobalMaxPool coverage." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 2, 3], |
| "data": { "kind": "values", "values": [-9.0, -3.0, -7.0, -1.0, -1.0, -5.0, 0.25, 4.0, 4.0, -5.0, 3.5, 3.5] } |
| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float16", |
| "shape": [1, 2, 1, 1], |
| "data": { "kind": "values", "values": [-1.0, 4.0] }, |
| "tolerance": 0.001 |
| } |
| } |
| }, |
| { |
| "name": "fp16_wg_parallel_8x8_vec4_path", |
| "inputs": { |
| "x": { |
| "dtype": "float16", |
| "shape": [1, 2, 8, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.09, "cosStep": 0.13, "scale": 0.2 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 2, 1, 1], "tolerance": 0.001 } } |
| }, |
| { |
| "name": "ncl_all_negative_infinity_returns_negative_infinity", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 3], |
| "data": { |
| "kind": "values", |
| "values": ["-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity", "-Infinity"] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "ncl_nan_propagates", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 4], |
| "data": { "kind": "values", "values": [1.0, "NaN", 3.0, 4.0, -5.0, -6.0, -7.0, -8.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "ncdhw_rank5", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2, 2], |
| "data": { |
| "kind": "values", |
| "values": [-9.0, -3.0, -7.0, -1.0, -5.0, -8.0, -2.0, -4.0, 10.0, 20.0, 15.0, 5.0, 80.0, 60.0, 70.0, 40.0] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "zero_batch_dim_rank4", |
| "inputs": { "x": { "dtype": "float32", "shape": [0, 2, 3, 4], "data": { "kind": "values", "values": [] } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [0, 2, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "ort_rank4_1x3x8x8_values", |
| "provenance": { "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", "test": "PoolTest.GlobalMaxPool" }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 8, 8], |
| "data": { |
| "kind": "values", |
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| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_rank4_1x3x8x8_generated", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.GlobalMaxPool", |
| "notes": "Uses the ORT rank-4 shape; fixture values are generated deterministically." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 8, 8], |
| "data": { "kind": "fillFloat32", "sinStep": 0.037, "cosStep": 0.011, "scale": 1.5 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "ort_rank5_1x3x8x4x2_generated", |
| "provenance": { |
| "source": "onnxruntime/test/providers/cpu/nn/pool_op_test.cc", |
| "test": "PoolTest.GlobalMaxPool3D", |
| "notes": "Uses the ORT rank-5 shape; fixture values are generated deterministically." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 8, 4, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.029, "cosStep": 0.017, "scale": 1.25 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 1, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "onnx_backend_precomputed_3x3", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_globalmaxpool_precomputed" }, |
| "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, 1, 1], "tolerance": 0.000001 } } |
| }, |
| { |
| "name": "onnx_backend_globalmaxpool", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 5, 5], |
| "data": { |
| "kind": "values", |
| "values": [1.764052391052246, 0.40015721321105957, 0.978738009929657, 2.2408931255340576, 1.8675580024719238, -0.9772778749465942, 0.9500884413719177, -0.15135720372200012, -0.10321885347366333, 0.4105985164642334, 0.14404356479644775, 1.4542734622955322, 0.7610377073287964, 0.12167501449584961, 0.44386324286460876, 0.3336743414402008, 1.4940791130065918, -0.2051582634449005, 0.3130677044391632, -0.8540957570075989, -2.5529897212982178, 0.653618574142456, 0.8644362092018127, -0.7421650290489197, 2.269754648208618, -1.4543657302856445, 0.04575851559638977, -0.18718385696411133, 1.5327792167663574, 1.4693588018417358, 0.154947429895401, 0.37816253304481506, -0.8877857327461243, -1.980796456336975, -0.34791216254234314, 0.15634897351264954, 1.2302906513214111, 1.202379822731018, -0.38732680678367615, -0.302302747964859, -1.0485529899597168, -1.420017957687378, -1.7062702178955078, 1.950775384902954, -0.5096521973609924, -0.4380742907524109, -1.2527953386306763, 0.7774903774261475, -1.6138978004455566, -0.21274028718471527, -0.8954665660858154, 0.38690251111984253, -0.5108051300048828, -1.18063223361969, -0.02818222902715206, 0.4283318817615509, 0.06651721894741058, 0.30247190594673157, -0.6343221068382263, -0.3627411723136902, -0.6724604368209839, -0.35955315828323364, -0.8131462931632996, -1.7262825965881348, 0.17742614448070526, -0.4017809331417084, -1.630198359489441, 0.46278226375579834, -0.9072983860969543, 0.05194539576768875, 0.7290905714035034, 0.12898291647434235, 1.1394007205963135, -1.234825849533081, 0.4023416340351105] |
| } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 1, 1] } }, |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_globalmaxpool" } |
| }, |
| { |
| "name": "onnx_backend_globalmaxpool_precomputed", |
| "provenance": { "source": "cmake/external/onnx/onnx/backend/test/data/node/test_globalmaxpool_precomputed" }, |
| "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, 1, 1], "tolerance": 0.00001 } } |
| }, |
| { |
| "name": "wg_parallel_9x9_scalar_path", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [2, 3, 9, 9], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.17 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 3, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "wg_parallel_16x16_vec4_path", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 16, 16], |
| "data": { "kind": "fillFloat32", "sinStep": 0.31, "cosStep": 0.07 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "wg_parallel_large_spatial_1024_vec4", |
| "provenance": { |
| "notes": "Spatial extent 1024 clears the no-subgroups planeParallelEligible threshold (inner >= 1024 without subgroups, vs >= 64 with), so wg_plane_parallel runs on the no-subgroups tier where every smaller-spatial case falls back to nchw. 1024 % 4 == 0 selects the vec4 plane-reduction sub-path." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 1024], |
| "data": { "kind": "fillFloat32", "sinStep": 0.013, "cosStep": 0.019 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "wg_parallel_large_spatial_1030_scalar", |
| "provenance": { |
| "notes": "Spatial 1030 also clears the no-subgroups threshold but 1030 % 4 != 0 selects the scalar plane-reduction sub-path of wg_plane_parallel (planeInput = scalar), covering the non-vec4 reduction on the no-subgroups tier." |
| }, |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 1030], |
| "data": { "kind": "fillFloat32", "sinStep": 0.007, "cosStep": 0.023 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "wg_parallel_nan_propagates_8x8", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 1, 8, 8], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 1, 1], "tolerance": 0, "allowNaN": true } } |
| }, |
| { |
| "name": "wg_parallel_all_negative_infinity_8x8", |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 2, 8, 8], "data": { "kind": "negativeInfinity" } } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank4_channels_not_div4_vec4out_tail_unwritten", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 5, 3, 3], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { |
| "y": { |
| "dtype": "float32", |
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| "data": { "kind": "values", "values": [9.0, -1.0, 10.0, 1.0, 5.0] }, |
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| } |
| }, |
| { |
| "name": "rank4_channels_3_not_div4_wg_parallel_tail", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 3, 8, 8], |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank4_all_positive_infinity", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2], |
| "data": { |
| "kind": "values", |
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| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank4_channels_not_div4_vec4out_6channels", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 6, 2, 2], |
| "data": { |
| "kind": "values", |
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| "outputs": { |
| "y": { |
| "dtype": "float32", |
| "shape": [1, 6, 1, 1], |
| "data": { "kind": "values", "values": [4.0, -1.0, 8.0, -5.0, 0.75, 9.0] }, |
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| } |
| }, |
| { |
| "name": "rank6_four_spatial_dims", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2, 2, 2], |
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| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1, 1, 1], "tolerance": 0 } } |
| }, |
| { |
| "name": "rank8_six_spatial_dims", |
| "inputs": { |
| "x": { |
| "dtype": "float32", |
| "shape": [1, 2, 2, 2, 2, 2, 2, 2], |
| "data": { "kind": "fillFloat32", "sinStep": 0.13, "cosStep": 0.27 } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 1, 1, 1, 1, 1, 1], "tolerance": 0 } } |
| } |
| ] |
| } |
|
|
