Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.Range: direct link, hf CLI and curl.
- Browser
- Download file 3.75 kB
-
https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Range/resolve/v1/build/webgpu/bench.json
- Command line
-
hf download hf://webgpu-kernels/ai.onnx.Range@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Range/resolve/v1/build/webgpu/bench.json
3.75 kB
| { | |
| "cases": [ | |
| { | |
| "name": "positions_4096", | |
| "inputs": { | |
| "start": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [0] } }, | |
| "limit": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [4096] } }, | |
| "delta": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [4096] } } | |
| }, | |
| { | |
| "name": "large_fill_i32_16777216", | |
| "preset": "smoke", | |
| "vars": { "dtype": "int32" }, | |
| "inputs": { | |
| "start": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [0] } }, | |
| "limit": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [16777216] } }, | |
| "delta": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [16777216], "dist": "empty" } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "numel(shapes.output) * dtypeBytes(args.dtype)" }] | |
| } | |
| }, | |
| { | |
| "name": "large_fill_f32_16777216", | |
| "preset": "smoke", | |
| "vars": { "dtype": "float32" }, | |
| "inputs": { | |
| "start": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [0.0] } }, | |
| "limit": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [16777216.0] } }, | |
| "delta": { "dtype": "float32", "shape": [], "data": { "kind": "values", "values": [1.0] } } | |
| }, | |
| "outputs": { "output": { "dtype": "float32", "shape": [16777216], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.output) * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "dispatch_cliff_2dfold_i32_16777216", | |
| "preset": "smoke", | |
| "vars": { "dtype": "int32" }, | |
| "inputs": { | |
| "start": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [0] } }, | |
| "limit": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [16777216] } }, | |
| "delta": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [16777216], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.output) * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "dispatch_single_dim_i32_16776960", | |
| "preset": "smoke", | |
| "vars": { "dtype": "int32" }, | |
| "inputs": { | |
| "start": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [0] } }, | |
| "limit": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [16776960] } }, | |
| "delta": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [16776960], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.output) * dtypeBytes(args.dtype)" }] } | |
| }, | |
| { | |
| "name": "tiny_overhead_bound_i32_4096", | |
| "preset": "smoke", | |
| "vars": { "dtype": "int32" }, | |
| "inputs": { | |
| "start": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [0] } }, | |
| "limit": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [4096] } }, | |
| "delta": { "dtype": "int32", "shape": [], "data": { "kind": "values", "values": [1] } } | |
| }, | |
| "outputs": { "output": { "dtype": "int32", "shape": [4096], "dist": "empty" } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "numel(shapes.output) * dtypeBytes(args.dtype)" }] } | |
| } | |
| ] | |
| } | |