| { |
| "domain": "com.microsoft", |
| "name": "QuickGelu", |
| "sinceVersion": 1, |
| "description": "Computes `x * sigmoid(alpha * x)` elementwise, a fast approximation of GELU activation. The output has the same shape as the input. This WebGPU package implements float16 and float32; the schema-allowed double and bfloat16 types are not supported.", |
| "inputs": [{ "role": "X", "dtype": "T", "description": "Input tensor of any shape." }], |
| "outputs": [ |
| { |
| "role": "Y", |
| "dtype": "T", |
| "rank": "ranks.X", |
| "shape": "shapes.X", |
| "description": "Output tensor; same shape as the input." |
| } |
| ], |
| "attributes": { "alpha": 1.702 }, |
| "attributeDescriptions": { |
| "alpha": "Scalar multiplier applied to `x` inside the sigmoid; defaults to 1.702, which approximates GELU." |
| }, |
| "typeConstraints": { "T": ["float32", "float16"] }, |
| "args": { |
| "X": { "kind": "tensor", "semantic": "X", "role": "input" }, |
| "Y": { "kind": "tensor", "semantic": "Y", "role": "output" } |
| }, |
| "tunables": { "WORKGROUP_SIZE": 256 }, |
| "derive": { |
| "deviceWorkgroupCap": "min(device.limits.maxComputeInvocationsPerWorkgroup, device.limits.maxComputeWorkgroupSizeX)", |
| "workgroupOk": "tunables.WORKGROUP_SIZE > 0 and tunables.WORKGROUP_SIZE <= deviceWorkgroupCap", |
| "baseOk": "workgroupOk and numel(shapes.X) == numel(shapes.Y) and f16Ok(dtypes.T)", |
| "vec4Ok": "numel(shapes.X) > 0 and numel(shapes.X) % 4 == 0" |
| }, |
| "bindingSets": { |
| "scalarTail": [ |
| { "name": "x", "arg": "X", "semantic": "X", "buffer": { "type": "read-only-storage" }, "elementType": "$scalar" }, |
| { "name": "y", "arg": "Y", "semantic": "Y", "buffer": { "type": "storage" }, "elementType": "$scalar" }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { "name": "Params", "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.X)" }] } |
| } |
| ] |
| }, |
| "variants": [ |
| { |
| "id": "vec4", |
| "priority": 20, |
| "when": ["baseOk", "vec4Ok"], |
| "constants": { |
| "scalar": "dtypes.T", |
| "usesF16": "dtypes.T == \"f16\"", |
| "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"", |
| "vec4": true, |
| "vec4Tail": false |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "QuickGelu.vec4", |
| "source": { "shader": "quick-gelu.wgsl.jinja", "inputs": { "alpha": "attrs.alpha" } }, |
| "bindings": [ |
| { |
| "name": "x", |
| "arg": "X", |
| "semantic": "X", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "y", |
| "arg": "Y", |
| "semantic": "Y", |
| "buffer": { "type": "storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { |
| "name": "Params", |
| "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.X) / 4" }] |
| } |
| } |
| ], |
| "dispatch": { "threads": "numel(shapes.X) / 4", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| }, |
| { |
| "id": "vec4_tail", |
| "priority": 10, |
| "when": ["baseOk", "numel(shapes.X) > 0"], |
| "constants": { "scalar": "dtypes.T", "usesF16": "dtypes.T == \"f16\"", "vec4": false, "vec4Tail": true }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "QuickGelu.vec4Tail", |
| "source": { "shader": "quick-gelu.wgsl.jinja", "inputs": { "alpha": "attrs.alpha" } }, |
| "bindings": "scalarTail", |
| "dispatch": { "threads": "ceilDiv(numel(shapes.X), 4)", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| }, |
| { |
| "id": "scalar", |
| "priority": 0, |
| "when": ["baseOk", "true"], |
| "constants": { "scalar": "dtypes.T", "usesF16": "dtypes.T == \"f16\"", "vec4": false, "vec4Tail": false }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "QuickGelu.scalar", |
| "source": { "shader": "quick-gelu.wgsl.jinja", "inputs": { "alpha": "attrs.alpha" } }, |
| "bindings": "scalarTail", |
| "dispatch": { "threads": "numel(shapes.X)", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| } |
| ] |
| } |
|
|
