Download build/webgpu/bench.json from webgpu-kernels/ai.onnx.Upsample: direct link, hf CLI and curl.
- Browser
- Download file 4.9 kB
-
https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Upsample/resolve/v1/build/webgpu/bench.json
- Command line
-
hf download hf://webgpu-kernels/ai.onnx.Upsample@v1/build/webgpu/bench.json
-
curl -L -o bench.json https://huggingface.co/kernels/webgpu-kernels/ai.onnx.Upsample/resolve/v1/build/webgpu/bench.json
4.9 kB
| { | |
| "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }, | |
| "cases": [ | |
| { | |
| "name": "nearest-2x-256x256-f32", | |
| "attrs": { "mode": "nearest" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 512] } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "linear-2x-256x256-f32", | |
| "attrs": { "mode": "linear" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 512] } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nearest-1point5x-fallback-256x256-f32", | |
| "attrs": { "mode": "nearest" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.5, 1.5] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 384, 384] } }, | |
| "bench": { | |
| "primary": true, | |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] | |
| } | |
| }, | |
| { | |
| "name": "nearest-2x-alignment-cliff-510w-f32", | |
| "preset": "smoke", | |
| "attrs": { "mode": "nearest" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 255] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 510] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| }, | |
| { | |
| "name": "linear-2x-alignment-cliff-514w-f32", | |
| "preset": "smoke", | |
| "attrs": { "mode": "linear" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 257] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 514] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| }, | |
| { | |
| "name": "nearest-2x-256x256-f16", | |
| "preset": "smoke", | |
| "attrs": { "mode": "nearest" }, | |
| "inputs": { | |
| "x": { "dtype": "float16", "shape": [1, 3, 256, 256] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 3, 512, 512] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 2" }] } | |
| }, | |
| { | |
| "name": "linear-2x-256x256-f16", | |
| "preset": "smoke", | |
| "attrs": { "mode": "linear" }, | |
| "inputs": { | |
| "x": { "dtype": "float16", "shape": [1, 3, 256, 256] }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 3, 512, 512] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 2" }] } | |
| }, | |
| { | |
| "name": "linear-3d-ncdhw-2x-generic-f32", | |
| "preset": "stress", | |
| "attrs": { "mode": "linear" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 2, 32, 32, 32], "dist": "normal", "seed": 101, "scale": 2 }, | |
| "scales": { | |
| "dtype": "float32", | |
| "shape": [5], | |
| "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0, 2.0] } | |
| } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 64, 64, 64] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| }, | |
| { | |
| "name": "linear-rank4-nchw-scaled-generic-16tap-f32", | |
| "preset": "stress", | |
| "attrs": { "mode": "linear" }, | |
| "inputs": { | |
| "x": { "dtype": "float32", "shape": [1, 1, 128, 128], "dist": "normal", "seed": 202, "scale": 2 }, | |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [2.0, 2.0, 2.0, 2.0] } } | |
| }, | |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 2, 256, 256] } }, | |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } | |
| } | |
| ] | |
| } | |