Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.ConstantOfShape: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/kernels/webgpu-kernels/ai.onnx.ConstantOfShape/resolve/v1/build/webgpu/bench.json
- Command line
-
hf download hf://webgpu-kernels/ai.onnx.ConstantOfShape@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.ConstantOfShape/resolve/v1/build/webgpu/bench.json
2.51 kB
| { | |
| "cases": [ | |
| { | |
| "name": "mask_16m_f32", | |
| "preset": "smoke", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [2], "data": { "kind": "values", "values": [4096, 4096] } } }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [4096, 4096] } }, | |
| "bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "4096 * 4096 * 4" }] } | |
| }, | |
| { | |
| "name": "1m_f32", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [1], "data": { "kind": "values", "values": [1048576] } } }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [1048576] } } | |
| }, | |
| { | |
| "name": "fill_16m_f32_scalar_fallback", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [2], "data": { "kind": "values", "values": [4097, 4097] } } }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [4097, 4097] } }, | |
| "vars": { "dtype": "float32", "count": 16785409 }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "mask_16m_f16", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [2], "data": { "kind": "values", "values": [4096, 4096] } } }, | |
| "outputs": { "output": { "dtype": "float16", "shape": [4096, 4096] } }, | |
| "vars": { "dtype": "float16", "count": 16777216 }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "fill_134m_f32_2dfold", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [2], "data": { "kind": "values", "values": [16384, 8192] } } }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [16384, 8192] } }, | |
| "vars": { "dtype": "float32", "count": 134217728 }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "fill_16m_f16_scalar_fallback", | |
| "preset": "stress", | |
| "attrs": { "value": -10000 }, | |
| "inputs": { "input": { "dtype": "uint32", "shape": [2], "data": { "kind": "values", "values": [4097, 4097] } } }, | |
| "outputs": { "output": { "dtype": "float16", "shape": [4097, 4097] } }, | |
| "vars": { "dtype": "float16", "count": 16785409 }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] } | |
| } | |
| ] | |
| } | |