Download build/webgpu/manifest.json from webgpu-kernels/com.microsoft.BiasAdd: direct link, hf CLI and curl.
- Browser
- Download file 2.58 kB
-
https://huggingface.co/kernels/webgpu-kernels/com.microsoft.BiasAdd/resolve/v1/build/webgpu/manifest.json
- Command line
-
hf download hf://webgpu-kernels/com.microsoft.BiasAdd@v1/build/webgpu/manifest.json
-
curl -L -o manifest.json https://huggingface.co/kernels/webgpu-kernels/com.microsoft.BiasAdd/resolve/v1/build/webgpu/manifest.json
2.58 kB
| { | |
| "domain": "com.microsoft", | |
| "name": "BiasAdd", | |
| "sinceVersion": 1, | |
| "inputs": { | |
| "X": { "dtype": "T", "rank": 3 }, | |
| "bias": { "dtype": "T", "rank": 1 }, | |
| "skip": { "dtype": "T", "rank": 3 } | |
| }, | |
| "outputs": { "Y": { "dtype": "T", "rank": 3, "shape": "shapes.X" } }, | |
| "typeConstraints": { "T": ["float32", "float16"] }, | |
| "tunables": { "WORKGROUP_SIZE": { "default": 256 } }, | |
| "derive": { "scalar": "dtypes.T", "hidden": "dim(shapes.X, ranks.X - 1) if dim(shapes.X, ranks.X - 1) > 0 else 1" }, | |
| "when": ["ranks.X == 3", "ranks.skip == 3", "ranks.Y == 3", "sameShape(shapes.X, shapes.skip)", "sameShape(shapes.X, shapes.Y)", "f16Ok(dtypes.T)", "ranks.bias == 1", "dim(shapes.bias, 0) == dim(shapes.X, 2)"], | |
| "bindings": { "x": { "arg": "X", "elementType": "$scalar" } }, | |
| "variants": [ | |
| { | |
| "id": "vec4", | |
| "priority": 30, | |
| "when": ["numel(shapes.X) > 0", "numel(shapes.X) % 4 == 0", "dim(shapes.X, 2) % 4 == 0"], | |
| "derive": { "vec4": true, "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" }, | |
| "passes": [ | |
| { | |
| "id": "main", | |
| "name": "BiasAdd.Vec4", | |
| "shader": "bias-add.wgsl.jinja", | |
| "bindings": [ | |
| "x", | |
| { "arg": "bias", "elementType": "$scalar", "length": "$hidden" }, | |
| "skip", | |
| { "arg": "Y", "name": "y", "elementType": "$vectorScalar" }, | |
| { "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.X) / 4" }] } | |
| ], | |
| "dispatch": { | |
| "x": "min(ceilDiv((numel(shapes.X) / 4), (tunables.WORKGROUP_SIZE)), 65535)", | |
| "y": "ceilDiv(ceilDiv((numel(shapes.X) / 4), (tunables.WORKGROUP_SIZE)), 65535)", | |
| "z": 1 | |
| } | |
| } | |
| ] | |
| }, | |
| { | |
| "id": "scalar", | |
| "priority": 0, | |
| "derive": { "vec4": false }, | |
| "passes": [ | |
| { | |
| "id": "main", | |
| "name": "BiasAdd.Scalar", | |
| "shader": "bias-add.wgsl.jinja", | |
| "derive": { "itemsPerInvocation": 4 }, | |
| "bindings": [ | |
| "x", | |
| "bias", | |
| "skip", | |
| { "arg": "Y", "name": "y", "elementType": "$scalar" }, | |
| { "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.X)" }] } | |
| ], | |
| "dispatch": { | |
| "x": "min(ceilDiv((ceilDiv(numel(shapes.X), 4)), (tunables.WORKGROUP_SIZE)), 65535)", | |
| "y": "ceilDiv(ceilDiv((ceilDiv(numel(shapes.X), 4)), (tunables.WORKGROUP_SIZE)), 65535)", | |
| "z": 1 | |
| } | |
| } | |
| ] | |
| } | |
| ] | |
| } | |