ai.onnx.If / build /webgpu /manifest.json
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{
"domain": "ai.onnx",
"name": "If",
"conformance": "internal-lowering",
"sinceVersion": 25,
"inputs": { "cond": { "dtype": "B" }, "then_value": { "dtype": "T" }, "else_value": { "dtype": "T" } },
"outputs": { "y": { "dtype": "T" } },
"typeConstraints": { "T": ["float32"], "B": ["uint32", "bool"] },
"tunables": { "WORKGROUP_SIZE": { "default": 256 } },
"variants": [
{
"id": "lowered_select",
"when": ["ranks.cond <= 1", "numel(shapes.cond) == 1", "numel(shapes.then_value) == numel(shapes.y)", "numel(shapes.else_value) == numel(shapes.y)"],
"passes": [
{
"id": "main",
"name": "If",
"shader": "if-select.wgsl.jinja",
"bindings": [
{ "arg": "cond", "elementType": "u32", "length": 1 },
{ "arg": "then_value", "elementType": "f32" },
{ "arg": "else_value", "elementType": "f32" },
{ "arg": "y", "elementType": "f32" },
{ "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y)" }] }
],
"dispatch": {
"x": "min(ceilDiv((numel(shapes.y)), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((numel(shapes.y)), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
}
]
}
]
}