Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.LogSoftmax: 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.LogSoftmax/resolve/v1/build/webgpu/bench.json
- Command line
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hf download hf://webgpu-kernels/ai.onnx.LogSoftmax@v1/build/webgpu/bench.json
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curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.LogSoftmax/resolve/v1/build/webgpu/bench.json
11.2 kB
| { | |
| "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }, | |
| "cases": [ | |
| { | |
| "name": "attention_scores", | |
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| "outputs": { "y": { "dtype": "float32", "shape": [32, 128] } } | |
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| { | |
| "name": "logsoftmax-f32-1024x2048", | |
| "preset": "smoke", | |
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| "outputs": { "y": { "shape": [1024, 2048], "dtype": "float32" } }, | |
| "bench": { | |
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| "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype) * 2" }] | |
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| "name": "logsoftmax-f32-16384x512", | |
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| "inputs": { "x": { "shape": [1024, 2048], "dtype": "float16", "dist": "normal", "seed": 312, "scale": 2 } }, | |
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| "preset": "stress", | |
| "vars": { "dtype": "float32", "rows": 1024, "cols": 2046 }, | |
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| "inputs": { "x": { "shape": [1024, 2046], "dtype": "float32", "dist": "normal", "seed": 313, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [1024, 2046], "dtype": "float32" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype) * 2" }] } | |
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| { | |
| "name": "logsoftmax-f32-tallwide-70000x2048", | |
| "preset": "model", | |
| "vars": { "dtype": "float32", "rows": 70000, "cols": 2048 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [70000, 2048], "dtype": "float32", "dist": "normal", "seed": 314, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [70000, 2048], "dtype": "float32" } }, | |
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| { | |
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| "preset": "stress", | |
| "vars": { "dtype": "float32", "rows": 131072, "cols": 32 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [131072, 32], "dtype": "float32", "dist": "normal", "seed": 411, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [131072, 32], "dtype": "float32" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype) * 2" }] } | |
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| { | |
| "name": "logsoftmax-f32-strided-axis1-64x2048x130-packed4-control", | |
| "preset": "stress", | |
| "provenance": { "notes": "Measures LogSoftmax over 8,320 independent strided rows with an inner extent of 130." }, | |
| "vars": { "dtype": "float32", "outer": 64, "axisDim": 2048, "inner": 130 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [64, 2048, 130], "dtype": "float32", "dist": "normal", "seed": 414, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [64, 2048, 130], "dtype": "float32", "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [ | |
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| }, | |
| { | |
| "name": "logsoftmax-f32-strided-axis1-96x2048x130-crossover", | |
| "preset": "stress", | |
| "provenance": { | |
| "notes": "A large inner tail across 12,480 independent strided rows measures LogSoftmax on noncontiguous data." | |
| }, | |
| "vars": { "dtype": "float32", "outer": 96, "axisDim": 2048, "inner": 130 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [96, 2048, 130], "dtype": "float32", "dist": "normal", "seed": 413, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [96, 2048, 130], "dtype": "float32", "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [ | |
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| }, | |
| { | |
| "name": "logsoftmax-f32-strided-axis1-120x2048x130-large-inner", | |
| "preset": "stress", | |
| "provenance": { | |
| "source": "local fixture", | |
| "notes": "Inner=130 exercises the two-element tail of the scalar-aligned packed-4 online reducer while sharing one workgroup across four adjacent rows." | |
| }, | |
| "vars": { "dtype": "float32", "outer": 120, "axisDim": 2048, "inner": 130 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [120, 2048, 130], "dtype": "float32", "dist": "normal", "seed": 412, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [120, 2048, 130], "dtype": "float32", "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "bandwidth", "value": "args.outer * args.axisDim * args.inner * dtypeBytes(args.dtype) * 2" } | |
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| } | |
| }, | |
| { | |
| "name": "logsoftmax-f32-8192x512-midwidth", | |
| "provenance": { "notes": "A 512-column case measures LogSoftmax between the 128- and 2048-column shapes." }, | |
| "preset": "smoke", | |
| "vars": { "dtype": "float32", "rows": 8192, "cols": 512 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [8192, 512], "dtype": "float32", "dist": "normal", "seed": 215, "scale": 2 } }, | |
| "outputs": { "y": { "shape": [8192, 512], "dtype": "float32" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype) * 2" }] } | |
| }, | |
| { | |
| "name": "logsoftmax-f32-64x50257-vocab-odd-pathology", | |
| "preset": "stress", | |
| "provenance": { | |
| "notes": "Measures log-softmax over GPT-2's 50,257-token vocabulary width, which is not a multiple of four; its 50,260-wide sibling in this file is the nearest four-aligned control at nearly the same byte count." | |
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| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [64, 50257], "dtype": "float32", "dist": "normal", "seed": 415, "scale": 4 } }, | |
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| { | |
| "name": "logsoftmax-f32-64x50260-vocab-control", | |
| "preset": "stress", | |
| "provenance": { | |
| "notes": "The next multiple-of-four vocabulary width above the paired 50,257-column case, with nearly the same input bytes." | |
| }, | |
| "vars": { "dtype": "float32", "rows": 64, "cols": 50260 }, | |
| "attrs": { "axis": 1 }, | |
| "inputs": { "x": { "shape": [64, 50260], "dtype": "float32", "dist": "normal", "seed": 416, "scale": 4 } }, | |
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