ai.onnx.IsInf / build /webgpu /manifest.json
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{
"domain": "ai.onnx",
"name": "IsInf",
"sinceVersion": 20,
"inputs": { "x": { "onnx": "X", "dtype": "T" } },
"outputs": { "y": { "onnx": "Y", "dtype": "B", "rank": "ranks.x", "shape": "shapes.x" } },
"attributes": { "detect_negative": { "default": 1 }, "detect_positive": { "default": 1 } },
"attributeConstraints": { "detect_negative": { "values": [0, 1] }, "detect_positive": { "values": [0, 1] } },
"typeConstraints": { "T": ["float32", "float16"], "B": ["bool"] },
"tunables": { "WORKGROUP_SIZE": { "default": 256 } },
"derive": { "scalar": "dtypes.T" },
"when": ["numel(shapes.x) == numel(shapes.y)", "ranks.y == ranks.x"],
"bindings": { "y": { "elementType": "u32" } },
"variants": [
{
"id": "detect_neither",
"priority": 30,
"when": ["attrs.detect_negative == 0", "attrs.detect_positive == 0"],
"passes": [
{
"id": "main",
"name": "IsInf.DetectNeither",
"shader": "detect-neither.wgsl.jinja",
"bindings": [
"y",
{ "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y)" }] }
],
"dispatch": {
"x": "min(ceilDiv((ceilDiv(numel(shapes.y), 4)), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((ceilDiv(numel(shapes.y), 4)), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
}
]
},
{
"id": "same_layout_vec4",
"priority": 20,
"when": ["attrs.detect_negative == 1 or attrs.detect_positive == 1", "numel(shapes.x) > 0", "numel(shapes.x) % 4 == 0", "f16Ok(dtypes.T)"],
"derive": { "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"", "outVec": "\"vec4<\" ~ dtypes.B ~ \">\"" },
"passes": [
{
"id": "main",
"name": "IsInf.Vec4",
"shader": "unary-vec4.wgsl.jinja",
"derive": {
"detectNegative": "attrs.detect_negative",
"detectPositive": "attrs.detect_positive",
"vec4PerThread": "4 if numel(shapes.y) * dtypeBytes(tensorDtypes.y) <= 16777216 else 1"
},
"bindings": [
{ "arg": "x", "elementType": "$vectorScalar" },
{ "arg": "y", "elementType": "$outVec" },
{ "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y) / 4" }] }
],
"dispatch": {
"x": "min(ceilDiv((ceilDiv(numel(shapes.y) / 4, 4 if numel(shapes.y) * dtypeBytes(tensorDtypes.y) <= 16777216 else 1)), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((ceilDiv(numel(shapes.y) / 4, 4 if numel(shapes.y) * dtypeBytes(tensorDtypes.y) <= 16777216 else 1)), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
}
]
},
{
"id": "elementwise",
"when": ["f16Ok(dtypes.T)"],
"passes": [
{
"id": "main",
"name": "IsInf",
"shader": "unary-scalar.wgsl.jinja",
"derive": { "itemsPerInvocation": 4 },
"bindings": [
"x",
"y",
{
"name": "params",
"struct": [
{ "name": "count", "type": "u32", "value": "numel(shapes.y)" },
{ "name": "detectNegative", "type": "u32", "value": "attrs.detect_negative" },
{ "name": "detectPositive", "type": "u32", "value": "attrs.detect_positive" }
]
}
],
"dispatch": {
"x": "min(ceilDiv((ceilDiv(numel(shapes.y), 4)), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((ceilDiv(numel(shapes.y), 4)), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
}
]
}
]
}