Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.LpPool: direct link, hf CLI and curl.
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- Download file 11.2 kB
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https://huggingface.co/kernels/webgpu-kernels/ai.onnx.LpPool/resolve/v1/build/webgpu/bench.json
- Command line
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hf download hf://webgpu-kernels/ai.onnx.LpPool@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.LpPool/resolve/v1/build/webgpu/bench.json
11.2 kB
| { | |
| "cases": [ | |
| { | |
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| "preset": "smoke", | |
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| "inputs": { "x": { "dtype": "float32", "shape": [8, 32, 64, 64] } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [8, 32, 31, 31] } } | |
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| { | |
| "name": "nchw_8x64x112x112_k2s2_p2_unrolled", | |
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| "outputs": { "y": { "dtype": "float32", "shape": [8, 64, 56, 56], "dist": "empty" } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nchw_f16_8x64x112x112_k2s2_p2_unrolled", | |
| "preset": "smoke", | |
| "vars": { "batch": 8, "channels": 64, "inH": 112, "inW": 112 }, | |
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| "inputs": { "x": { "dtype": "float16", "shape": [8, 64, 112, 112], "dist": "normal", "seed": 207 } }, | |
| "outputs": { "y": { "dtype": "float16", "shape": [8, 64, 56, 56], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 2" }] } | |
| }, | |
| { | |
| "name": "nchw_f16_8x64x112x110_k2s2_p2_unaligned_width", | |
| "preset": "smoke", | |
| "vars": { "batch": 8, "channels": 64, "inH": 112, "inW": 110 }, | |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, | |
| "inputs": { "x": { "dtype": "float16", "shape": [8, 64, 112, 110], "dist": "normal", "seed": 311 } }, | |
| "outputs": { "y": { "dtype": "float16", "shape": [8, 64, 56, 55], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 2" }] } | |
| }, | |
| { | |
| "name": "nchw_f16_8x64x113x112_k2s2_p2_unaligned_height", | |
| "preset": "smoke", | |
| "vars": { "batch": 8, "channels": 64, "inH": 113, "inW": 112 }, | |
| "attrs": { "p": 2, "kernel_shape": [2, 2], "strides": [2, 2] }, | |
| "inputs": { "x": { "dtype": "float16", "shape": [8, 64, 113, 112], "dist": "normal", "seed": 312 } }, | |
| "outputs": { "y": { "dtype": "float16", "shape": [8, 64, 56, 56], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 2" }] } | |
| }, | |
| { | |
| "name": "ncl1d_f32_8x256x4000_k4s2_p2_seqpool", | |
| "preset": "smoke", | |
| "vars": { "batch": 8, "channels": 256, "inW": 4000 }, | |
| "attrs": { "p": 2, "kernel_shape": [4], "strides": [2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [8, 256, 4000], "dist": "normal", "seed": 313 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [8, 256, 1999], "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [{ "type": "bandwidth", "value": "(args.batch * args.channels * args.inW + numel(shapes.y)) * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "ncdhw3d_f32_2x16x16x16x16_k2s2_p2_volumetric", | |
| "preset": "smoke", | |
| "vars": { "batch": 2, "channels": 16, "inD": 16, "inH": 16, "inW": 16 }, | |
| "attrs": { "p": 2, "kernel_shape": [2, 2, 2], "strides": [2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [2, 16, 16, 16, 16], "dist": "normal", "seed": 314 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 16, 8, 8, 8], "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inD * args.inH * args.inW * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nchw2d_fallback_bigkernel_lowocc_p2_128x128window", | |
| "preset": "stress", | |
| "vars": { "batch": 1, "channels": 64, "inH": 128, "inW": 128 }, | |
| "attrs": { "p": 2, "kernel_shape": [128, 128] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 64, 128, 128], "dist": "normal", "seed": 741, "scale": 2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 64, 1, 1], "dist": "empty" } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nchw2d_fallback_bigkernel_p3_pow_transcendental_96x96window", | |
| "preset": "stress", | |
| "vars": { "batch": 1, "channels": 32, "inH": 96, "inW": 96 }, | |
| "attrs": { "p": 3, "kernel_shape": [96, 96] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 32, 96, 96], "dist": "normal", "seed": 742, "scale": 2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 32, 1, 1], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inH * args.inW * 4" }] } | |
| }, | |
| { | |
| "name": "ncl1d_bigkernel_lowocc_p2_seqglobalpool", | |
| "preset": "stress", | |
| "vars": { "batch": 1, "channels": 64, "inW": 16384 }, | |
| "attrs": { "p": 2, "kernel_shape": [16384] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 64, 16384], "dist": "normal", "seed": 743, "scale": 2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 64, 1], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inW * 4" }] } | |
| }, | |
| { | |
| "name": "global-lppool-p2-rank5-serial-reduction-pathology", | |
| "preset": "stress", | |
| "provenance": { | |
| "source": "synthetic benchmark", | |
| "notes": "A realistic rank-5 global L2 pool measures the parallel global-window reduction across feature tiers." | |
| }, | |
| "vars": { "batch": 1, "channels": 32, "inD": 32, "inH": 64, "inW": 64 }, | |
| "attrs": { "p": 2, "kernel_shape": [32, 64, 64] }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 32, 32, 64, 64], "dist": "normal", "seed": 5103, "scale": 0.2 } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 32, 1, 1, 1], "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [{ "type": "bandwidth", "value": "args.batch * args.channels * args.inD * args.inH * args.inW * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nchw_f32_1x64x224x224_k7s2p3_generic_bigwindow", | |
| "preset": "stress", | |
| "attrs": { "p": 2, "kernel_shape": [7, 7], "strides": [2, 2], "pads": [3, 3, 3, 3] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 64, 224, 224], "dist": "normal", "seed": 401, "scale": 2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 64, 112, 112], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.x) * 4" }] } | |
| }, | |
| { | |
| "name": "nchw_f32_1x64x224x224_k6s2pad2_separable_breakeven", | |
| "preset": "stress", | |
| "attrs": { "p": 2, "kernel_shape": [6, 6], "strides": [2, 2], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 64, 224, 224], "dist": "normal", "seed": 409, "scale": 2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 64, 112, 112], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.x) * 4" }] } | |
| }, | |
| { | |
| "name": "lppool-f32-b1c512-20x20-k5s1p2-separable-floor", | |
| "provenance": { | |
| "notes": "Measures L2 pooling (p=2) with a 5x5 window and padding 2 over 512 channels of a 20x20 plane, keeping the spatial size unchanged." | |
| }, | |
| "attrs": { "p": 2, "kernel_shape": [5, 5], "strides": [1, 1], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 512, 20, 20], "dist": "uniform" } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 512, 20, 20], "dist": "empty" } } | |
| }, | |
| { | |
| "name": "lp-pool-f32-b1c16-24x24-k12s1p2-p2-window-parallel-starved", | |
| "preset": "stress", | |
| "provenance": { | |
| "source": "synthetic benchmark", | |
| "notes": "Measures L2 pooling (p=2) with a 12x12 window and padding 2 over 16 channels of a 24x24 input, producing a 17x17 (289-element) output per channel." | |
| }, | |
| "attrs": { "p": 2, "kernel_shape": [12, 12], "strides": [1, 1], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 16, 24, 24], "dist": "normal", "seed": 4321, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 16, 17, 17], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| }, | |
| { | |
| "name": "lp-pool-f32-b1c16-56x56-k28s28-p2-window-parallel-extreme-starved", | |
| "preset": "stress", | |
| "provenance": { | |
| "source": "synthetic benchmark", | |
| "notes": "A 784-tap non-overlapping L2 window leaving 64 outputs." | |
| }, | |
| "attrs": { "p": 2, "kernel_shape": [28, 28], "strides": [28, 28], "pads": [0, 0, 0, 0] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 16, 56, 56], "dist": "normal", "seed": 4322, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 16, 2, 2], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| }, | |
| { | |
| "name": "occupancy-window_parallel_nchw2d_p2_k12p2_small_output", | |
| "preset": "stress", | |
| "attrs": { "p": 2, "kernel_shape": [12, 12], "strides": [2, 2], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 1, 24, 24], "dist": "normal", "seed": 5482, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 9, 9] } } | |
| }, | |
| { | |
| "name": "occupancy-window_parallel_nchw2d_p1_k12p2_small_output", | |
| "preset": "stress", | |
| "attrs": { "p": 1, "kernel_shape": [12, 12], "strides": [2, 2], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 1, 24, 24], "dist": "normal", "seed": 5482, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 9, 9] } } | |
| }, | |
| { | |
| "name": "occupancy-window_parallel_nchw2d_p3_k12p2_small_output", | |
| "preset": "stress", | |
| "attrs": { "p": 3, "kernel_shape": [12, 12], "strides": [2, 2], "pads": [2, 2, 2, 2] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 1, 24, 24], "dist": "normal", "seed": 5482, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 9, 9] } } | |
| }, | |
| { | |
| "name": "occupancy-window_parallel_outputs_to_taps_boundary_128", | |
| "preset": "stress", | |
| "attrs": { "kernel_shape": [128], "strides": [1] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 1, 255], "dist": "normal", "seed": 5482, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 128] } } | |
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| { | |
| "name": "occupancy-window_parallel_outputs_to_taps_boundary_129", | |
| "preset": "stress", | |
| "attrs": { "kernel_shape": [128], "strides": [1] }, | |
| "inputs": { "x": { "dtype": "float32", "shape": [1, 1, 256], "dist": "normal", "seed": 5482, "scale": 0.2 } }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 1, 129] } } | |
| } | |
| ], | |
| "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] } | |
| } | |