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"domain": "com.microsoft",
"name": "GatedRMSNorm",
"sinceVersion": 1,
"inputs": {
"xT": { "onnx": "X", "dtype": "T" },
"scaleT": { "onnx": "scale", "dtype": "T" },
"gateT": { "onnx": "gate", "dtype": "T" }
},
"outputs": { "yT": { "onnx": "Y", "dtype": "T", "rank": "ranks.xT", "shape": "shapes.xT" } },
"attributes": { "epsilon": { "default": 0.00001 } },
"typeConstraints": { "T": ["float32", "float16"] },
"tunables": { "WORKGROUP_SIZE": { "default": 256 }, "LANE_WORDS": { "default": 2 } },
"derive": {
"deviceWorkgroupCap": "min(device.limits.maxComputeInvocationsPerWorkgroup, device.limits.maxComputeWorkgroupSizeX)",
"foldedDispatchCapacity": "min(device.limits.maxComputeWorkgroupsPerDimension, 65535) * min(device.limits.maxComputeWorkgroupsPerDimension, 65535)",
"normSize": "numel(shapes.scaleT)",
"lastDim": "dim(shapes.xT, ranks.xT - 1)",
"elementCount": "numel(shapes.xT)",
"rowCount": "elementCount / max(1, normSize)",
"dtypeOk": "tensorDtypes.xT == tensorDtypes.scaleT and tensorDtypes.xT == tensorDtypes.gateT and tensorDtypes.xT == tensorDtypes.yT and f16Ok(dtypes.T)",
"shapeOk": "ranks.xT >= 1 and ranks.scaleT >= 1 and normSize > 0 and lastDim % normSize == 0 and sameShape(shapes.gateT, shapes.xT) and sameShape(shapes.yT, shapes.xT)",
"contractOk": "dtypeOk and shapeOk",
"workgroupOk": "tunables.WORKGROUP_SIZE > 0 and tunables.WORKGROUP_SIZE <= deviceWorkgroupCap and pow2ceil(tunables.WORKGROUP_SIZE) == tunables.WORKGROUP_SIZE and tunables.WORKGROUP_SIZE * 4 <= device.limits.maxComputeWorkgroupStorageSize and tunables.LANE_WORDS > 0",
"vec4Ok": "normSize % 4 == 0",
"vecWords": "normSize / 4",
"vecPreferredLanes": "max(1, min(tunables.WORKGROUP_SIZE / 2, pow2ceil(max(1, ceilDiv(vecWords, max(1, tunables.LANE_WORDS))))))",
"vecWideLanes": "max(1, min(tunables.WORKGROUP_SIZE, pow2ceil(max(1, ceilDiv(vecWords, max(1, tunables.LANE_WORDS))))))",
"vecLanesPerRow": "pick([[ceilDiv(vecWords, vecPreferredLanes) <= 8, vecPreferredLanes]], vecWideLanes)",
"vecRowsPerGroup": "tunables.WORKGROUP_SIZE / max(1, vecLanesPerRow)",
"vecWordsPerLane": "ceilDiv(vecWords, max(1, vecLanesPerRow))",
"vecRowGroups": "ceilDiv(rowCount, max(1, vecRowsPerGroup))",
"scalarPreferredLanes": "1 if normSize <= 8 else (max(1, min(tunables.WORKGROUP_SIZE / 2, pow2ceil(max(1, ceilDiv(normSize, max(1, tunables.LANE_WORDS)))))))",
"scalarWideLanes": "max(1, min(tunables.WORKGROUP_SIZE, pow2ceil(max(1, ceilDiv(normSize, max(1, tunables.LANE_WORDS))))))",
"scalarLanesPerRow": "pick([[ceilDiv(normSize, scalarPreferredLanes) <= 8, scalarPreferredLanes]], scalarWideLanes)",
"scalarRowsPerGroup": "tunables.WORKGROUP_SIZE / max(1, scalarLanesPerRow)",
"scalarWordsPerLane": "ceilDiv(normSize, max(1, scalarLanesPerRow))",
"scalarRowGroups": "ceilDiv(rowCount, max(1, scalarRowsPerGroup))",
"subgroupShapeKnown": "device.features.has(\"subgroups\") and has(device.adapterInfo, \"subgroupMinSize\") and has(device.adapterInfo, \"subgroupMaxSize\") and device.adapterInfo.subgroupMinSize > 0 and device.adapterInfo.subgroupMinSize <= device.adapterInfo.subgroupMaxSize and device.adapterInfo.subgroupMaxSize <= tunables.WORKGROUP_SIZE and tunables.WORKGROUP_SIZE % device.adapterInfo.subgroupMaxSize == 0",
"sgMin": "device.adapterInfo.subgroupMinSize if subgroupShapeKnown else 0",
"sgFullWidth": "subgroupShapeKnown and device.adapterInfo.subgroupMinSize == device.adapterInfo.subgroupMaxSize",
"sgVecLanesPerRow": "min(sgMin, vecLanesPerRow) if subgroupShapeKnown else 1",
"sgVecRowsPerGroup": "tunables.WORKGROUP_SIZE / max(1, sgVecLanesPerRow)",
"sgVecWordsPerLane": "ceilDiv(vecWords, max(1, sgVecLanesPerRow))",
"sgVecRowGroups": "ceilDiv(rowCount, max(1, sgVecRowsPerGroup))",
"sgScalarLanesPerRow": "min(sgMin, scalarLanesPerRow) if subgroupShapeKnown else 1",
"sgScalarRowsPerGroup": "tunables.WORKGROUP_SIZE / max(1, sgScalarLanesPerRow)",
"sgScalarWordsPerLane": "ceilDiv(normSize, max(1, sgScalarLanesPerRow))",
"sgScalarRowGroups": "ceilDiv(rowCount, max(1, sgScalarRowsPerGroup))",
"vectorElement": "\"vec4<\" ~ dtypes.T ~ \">\"",
"workgroupSize": "tunables.WORKGROUP_SIZE",
"epsilon": "attrs.epsilon",
"scalar": "dtypes.T",
"vectorScalar": "vectorElement"
},
"when": ["contractOk", "workgroupOk"],
"bindings": {
"x": { "arg": "xT", "elementType": "$vectorElement" },
"scale": { "arg": "scaleT", "elementType": "$vectorElement" },
"gate": { "arg": "gateT", "elementType": "$vectorElement" },
"y": { "arg": "yT", "elementType": "$vectorElement" },
"x_x_t": { "arg": "xT", "name": "x", "elementType": "$scalar" },
"scale_main": { "arg": "scaleT", "name": "scale", "elementType": "$scalar" },
"gate_main": { "arg": "gateT", "name": "gate", "elementType": "$scalar" },
"y_y_t": { "arg": "yT", "name": "y", "elementType": "$scalar" },
"params": { "struct": [{ "name": "rows", "type": "u32", "value": "rowCount" }] }
},
"variants": [
{
"id": "subgroup_rows_vec4",
"priority": 30,
"when": ["vec4Ok", "subgroupShapeKnown", "sgVecWordsPerLane >= 1", "sgVecWordsPerLane <= 8", "sgVecRowGroups <= foldedDispatchCapacity"],
"requires": { "features": ["subgroups"] },
"derive": {
"foldKind": "\"none\" if sgVecLanesPerRow <= 1 else (\"subgroup_full\" if (sgFullWidth and sgVecLanesPerRow == sgMin) else \"subgroup_butterfly\")",
"foldSteps": "log2ceil(sgVecLanesPerRow)",
"useVec4": "true",
"stageRow": "true",
"rowWords": "vecWords",
"wordsPerLane": "sgVecWordsPerLane",
"lanesPerRow": "sgVecLanesPerRow",
"rowsPerGroup": "sgVecRowsPerGroup"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.SubgroupRowsVec4",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x", "scale", "gate", "y", "params"],
"dispatch": {
"x": "min(sgVecRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(sgVecRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
},
{
"id": "packed_rows_vec4",
"priority": 20,
"when": ["vec4Ok", "vecRowGroups <= foldedDispatchCapacity"],
"derive": {
"foldKind": "\"none\" if vecLanesPerRow <= 1 else \"workgroup_tree\"",
"foldSteps": "log2ceil(vecLanesPerRow)",
"useVec4": "true",
"stageRow": "vecWordsPerLane <= 8",
"rowWords": "vecWords",
"wordsPerLane": "vecWordsPerLane",
"lanesPerRow": "vecLanesPerRow",
"rowsPerGroup": "vecRowsPerGroup"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.PackedRowsVec4",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x", "scale", "gate", "y", "params"],
"dispatch": {
"x": "min(vecRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(vecRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
},
{
"id": "subgroup_rows_scalar",
"priority": 10,
"when": ["subgroupShapeKnown", "sgScalarWordsPerLane >= 1", "sgScalarWordsPerLane <= 8", "sgScalarRowGroups <= foldedDispatchCapacity"],
"requires": { "features": ["subgroups"] },
"derive": {
"foldKind": "\"none\" if sgScalarLanesPerRow <= 1 else (\"subgroup_full\" if (sgFullWidth and sgScalarLanesPerRow == sgMin) else \"subgroup_butterfly\")",
"foldSteps": "log2ceil(sgScalarLanesPerRow)",
"useVec4": "false",
"stageRow": "true",
"rowWords": "normSize",
"wordsPerLane": "sgScalarWordsPerLane",
"lanesPerRow": "sgScalarLanesPerRow",
"rowsPerGroup": "sgScalarRowsPerGroup"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.SubgroupRowsScalar",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x_x_t", "scale_main", "gate_main", "y_y_t", "params"],
"dispatch": {
"x": "min(sgScalarRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(sgScalarRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
},
{
"id": "packed_rows_scalar",
"priority": 0,
"when": ["scalarRowGroups <= foldedDispatchCapacity"],
"derive": {
"foldKind": "\"none\" if scalarLanesPerRow <= 1 else \"workgroup_tree\"",
"foldSteps": "log2ceil(scalarLanesPerRow)",
"useVec4": "false",
"stageRow": "scalarWordsPerLane <= 8",
"rowWords": "normSize",
"wordsPerLane": "scalarWordsPerLane",
"lanesPerRow": "scalarLanesPerRow",
"rowsPerGroup": "scalarRowsPerGroup"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.PackedRowsScalar",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x_x_t", "scale_main", "gate_main", "y_y_t", "params"],
"dispatch": {
"x": "min(scalarRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(scalarRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
},
{
"id": "subgroup_wide_rows_vec4",
"priority": 25,
"when": ["vec4Ok", "vecRowGroups <= foldedDispatchCapacity", "dtypes.T == \"f32\"", "sgFullWidth", "device.wgslLanguageFeatures.has(\"subgroup_id\")", "vecLanesPerRow > sgMin", "vecLanesPerRow % max(1, sgMin) == 0"],
"requires": { "features": ["subgroups"] },
"derive": {
"foldKind": "\"subgroup_tree\"",
"useVec4": "true",
"stageRow": "vecWordsPerLane <= 8",
"rowWords": "vecWords",
"wordsPerLane": "vecWordsPerLane",
"lanesPerRow": "vecLanesPerRow",
"rowsPerGroup": "vecRowsPerGroup",
"subgroupWidth": "sgMin",
"subgroupsPerRow": "vecLanesPerRow / max(1, sgMin)"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.SubgroupWideRowsVec4",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x", "scale", "gate", "y", "params"],
"dispatch": {
"x": "min(vecRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(vecRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
},
{
"id": "subgroup_wide_rows_scalar",
"priority": 5,
"when": ["scalarRowGroups <= foldedDispatchCapacity", "dtypes.T == \"f32\"", "sgFullWidth", "device.wgslLanguageFeatures.has(\"subgroup_id\")", "scalarLanesPerRow > sgMin", "scalarLanesPerRow % max(1, sgMin) == 0"],
"requires": { "features": ["subgroups"] },
"derive": {
"foldKind": "\"subgroup_tree\"",
"useVec4": "false",
"stageRow": "scalarWordsPerLane <= 8",
"rowWords": "normSize",
"wordsPerLane": "scalarWordsPerLane",
"lanesPerRow": "scalarLanesPerRow",
"rowsPerGroup": "scalarRowsPerGroup",
"subgroupWidth": "sgMin",
"subgroupsPerRow": "scalarLanesPerRow / max(1, sgMin)"
},
"passes": [
{
"id": "main",
"name": "GatedRMSNorm.SubgroupWideRowsScalar",
"shader": "gated-rms-norm-rows.wgsl.jinja",
"bindings": ["x_x_t", "scale_main", "gate_main", "y_y_t", "params"],
"dispatch": {
"x": "min(scalarRowGroups, DISPATCH_FOLD_WIDTH)",
"y": "ceilDiv(scalarRowGroups, DISPATCH_FOLD_WIDTH)"
}
}
]
}
]
}
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