Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.If: direct link, hf CLI and curl.
- Browser
- Download file 591 Bytes
-
https://huggingface.co/kernels/webgpu-kernels/ai.onnx.If/resolve/v1/build/webgpu/bench.json
- Command line
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hf download hf://webgpu-kernels/ai.onnx.If@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.If/resolve/v1/build/webgpu/bench.json
591 Bytes
| { | |
| "cases": [ | |
| { | |
| "name": "lowered_select_1m", | |
| "preset": "smoke", | |
| "inputs": { | |
| "cond": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [1] } }, | |
| "then_value": { "dtype": "float32", "shape": [1048576] }, | |
| "else_value": { "dtype": "float32", "shape": [1048576] } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1048576] } }, | |
| "bench": { | |
| "metrics": [ | |
| { "type": "bandwidth", "value": "4 * (numel(shapes.cond) + numel(shapes.then_value) + numel(shapes.y))" } | |
| ] | |
| } | |
| } | |
| ] | |
| } | |