Download build/webgpu/bench.json from webgpu-kernels/com.microsoft.GroupNorm: direct link, hf CLI and curl.
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https://huggingface.co/kernels/webgpu-kernels/com.microsoft.GroupNorm/resolve/v1/build/webgpu/bench.json
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hf download hf://webgpu-kernels/com.microsoft.GroupNorm@v1/build/webgpu/bench.json
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curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/com.microsoft.GroupNorm/resolve/v1/build/webgpu/bench.json
20.5 kB
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| "beta": { "dtype": "float32", "shape": [192], "dist": "normal", "seed": 122, "scale": 0.1 } | |
| }, | |
| "outputs": { "Y": { "dtype": "float16", "shape": [2, 64, 64, 192], "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "args.count * 2 * dtypeBytes(args.dtype) + args.channels * 2 * dtypeBytes(args.weightDtype)" | |
| } | |
| ] | |
| } | |
| }, | |
| { | |
| "name": "nhwc-even-groups-2x64x64x448-g32-f16", | |
| "preset": "smoke", | |
| "provenance": { | |
| "note": "Even channel-group widths spanning one, multiple, and capacity-limited channel rows per workgroup, including float32 activations. Same distributions as the authored large NHWC case." | |
| }, | |
| "vars": { "dtype": "float16", "weightDtype": "float32", "count": 3670016, "channels": 448 }, | |
| "attrs": { "groups": 32, "activation": 1, "channels_last": 1 }, | |
| "inputs": { | |
| "X": { "dtype": "float16", "shape": [2, 64, 64, 448], "dist": "normal", "seed": 120, "scale": 0.5 }, | |
| "gamma": { "dtype": "float32", "shape": [448], "dist": "uniform", "seed": 121, "scale": 0.25, "offset": 1 }, | |
| "beta": { "dtype": "float32", "shape": [448], "dist": "normal", "seed": 122, "scale": 0.1 } | |
| }, | |
| "outputs": { "Y": { "dtype": "float16", "shape": [2, 64, 64, 448], "dist": "empty" } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "args.count * 2 * dtypeBytes(args.dtype) + args.channels * 2 * dtypeBytes(args.weightDtype)" | |
| } | |
| ] | |
| } | |
| } | |
| ] | |
| } | |