Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.Scatter: direct link, hf CLI and curl.
- Browser
- Download file 675 Bytes
-
https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Scatter/resolve/v1/build/webgpu/bench.json
- Command line
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hf download hf://webgpu-kernels/ai.onnx.Scatter@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Scatter/resolve/v1/build/webgpu/bench.json
675 Bytes
| { | |
| "cases": [ | |
| { | |
| "name": "axis1-1024x768-f32", | |
| "preset": "smoke", | |
| "attrs": { "axis": 1 }, | |
| "inputs": { | |
| "data": { "dtype": "float32", "shape": [1024, 768] }, | |
| "indices": { "dtype": "int32", "shape": [1024, 128], "min": 0, "max": 768 }, | |
| "updates": { "dtype": "float32", "shape": [1024, 128] } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [1024, 768] } }, | |
| "bench": { | |
| "metrics": [ | |
| { | |
| "type": "bandwidth", | |
| "value": "4 * (numel(shapes.data) + numel(shapes.output) + numel(shapes.indices) + 2 * numel(shapes.updates))" | |
| } | |
| ] | |
| } | |
| } | |
| ] | |
| } | |