File size: 4,488 Bytes
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"domain": "ai.onnx",
"name": "Abs",
"sinceVersion": 13,
"inputs": { "x": { "onnx": "X", "dtype": "T" } },
"outputs": { "y": { "onnx": "Y", "dtype": "T", "rank": "ranks.x", "shape": "shapes.x" } },
"typeConstraints": { "T": ["float32", "float16", "int32", "uint32", "int8", "uint8"] },
"tunables": { "WORKGROUP_SIZE": { "default": 256 } },
"derive": { "scalar": "dtypes.T", "isInt8": "tensorDtypes.x == \"int8\"" },
"variants": [
{
"id": "same_layout_vec4",
"priority": 20,
"when": ["numel(shapes.x) > 0", "numel(shapes.x) % 4 == 0", "numel(shapes.x) == numel(shapes.y)", "f16Ok(dtypes.T)"],
"derive": { "scalar": "dtypes.T", "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" },
"passes": [
{
"id": "main",
"name": "Abs.Vec4",
"shader": "unary-vec4.wgsl.jinja",
"derive": { "vec4PerThread": "4 if numel(shapes.y) * dtypeBytes(tensorDtypes.y) <= 16777216 else 1" },
"bindings": ["x", "y", "params_unary"],
"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": ["numel(shapes.x) == numel(shapes.y)", "f16Ok(dtypes.T)"],
"derive": { "scalar": "dtypes.T" },
"passes": [
{
"id": "main",
"name": "Abs",
"shader": "unary-scalar.wgsl.jinja",
"derive": { "itemsPerInvocation": 4 },
"bindings": ["x_scalar", "y_scalar", "params_2_unary"],
"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_tail",
"priority": 19,
"when": ["numel(shapes.x) > 4", "numel(shapes.x) % 4 != 0", "numel(shapes.x) == numel(shapes.y)", "f16Ok(dtypes.T)", "ceilDiv(numel(shapes.y), 4) >= ceilDiv(tunables.MIN_TAIL_ELEMENTS | default(0), 4)"],
"derive": { "scalar": "dtypes.T", "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" },
"passes": [
{
"id": "bulk",
"name": "Abs.Vec4Bulk",
"shader": "unary-vec4.wgsl.jinja",
"derive": {
"vec4PerThread": "tunables.TAIL_VEC4_PER_THREAD | default(4 if numel(shapes.y) * dtypeBytes(tensorDtypes.y) <= 16777216 else 1)"
},
"bindings": ["x", "y", "params_unary_tail"],
"dispatch": {
"x": "min(ceilDiv((ceilDiv(floor(numel(shapes.y) / 4), vec4PerThread)), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((ceilDiv(floor(numel(shapes.y) / 4), vec4PerThread)), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
},
{
"id": "tail",
"name": "Abs.Tail",
"shader": "unary-scalar.wgsl.jinja",
"derive": { "itemsPerInvocation": 4, "tailOnly": true },
"bindings": ["x_scalar", "y_scalar", "params_2_unary_tail"],
"dispatch": {
"x": "min(ceilDiv((1), (tunables.WORKGROUP_SIZE)), 65535)",
"y": "ceilDiv(ceilDiv((1), (tunables.WORKGROUP_SIZE)), 65535)",
"z": 1
}
}
]
}
],
"bindings": {
"x": { "buffer": "read-only-storage", "elementType": "$vectorScalar" },
"y": { "buffer": "storage", "elementType": "$vectorScalar" },
"params_unary": { "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y) / 4" }], "name": "params" },
"x_scalar": { "buffer": "read-only-storage", "name": "x", "elementType": "$scalar" },
"y_scalar": { "buffer": "storage", "name": "y", "elementType": "$scalar" },
"params_2_unary": { "name": "params", "struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y)" }] },
"params_unary_tail": {
"struct": [{ "name": "count", "type": "u32", "value": "floor(numel(shapes.y) / 4)" }],
"name": "params"
},
"params_2_unary_tail": {
"name": "params",
"struct": [{ "name": "count", "type": "u32", "value": "numel(shapes.y)" }]
}
}
}
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