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"domain": "com.microsoft",
"name": "MatMulNBitsQkv",
"sinceVersion": 1,
"inputs": {
"aT": { "onnx": "A", "dtype": "T1" },
"skipT": { "onnx": "skip", "dtype": "T1", "optional": true },
"normScaleT": { "onnx": "norm_scale", "dtype": "T1", "rank": 1 },
"qBT": { "onnx": "q_B", "dtype": "T2", "rank": 3, "layout": "packed" },
"qScalesT": { "onnx": "q_scales", "dtype": "T1", "rank": 2 },
"kBT": { "onnx": "k_B", "dtype": "T2", "rank": 3, "layout": "packed" },
"kScalesT": { "onnx": "k_scales", "dtype": "T1", "rank": 2 },
"vBT": { "onnx": "v_B", "dtype": "T2", "rank": 3, "layout": "packed" },
"vScalesT": { "onnx": "v_scales", "dtype": "T1", "rank": 2 }
},
"outputs": {
"qT": { "onnx": "Q", "dtype": "T1", "rank": "ranks.aT", "shape": "shapes.aT[:-1] + [attrs.Nq]" },
"kT": { "onnx": "K", "dtype": "T1", "rank": "ranks.aT", "shape": "shapes.aT[:-1] + [attrs.Nkv]" },
"vT": { "onnx": "V", "dtype": "T1", "rank": "ranks.aT", "shape": "shapes.aT[:-1] + [attrs.Nkv]" },
"residualT": {
"onnx": "input_skip_bias_sum",
"dtype": "T1",
"rank": "ranks.aT",
"optional": true,
"shape": "shapes.aT"
}
},
"attributes": {
"accuracy_level": { "default": 0 },
"bits": { "default": 4 },
"epsilon": { "default": 9.999999974752427e-7 },
"K": {},
"Nq": {},
"Nkv": {},
"block_size": {}
},
"attributeConstraints": {
"K": { "required": true },
"Nq": { "required": true },
"Nkv": { "required": true },
"accuracy_level": { "values": [0] },
"bits": { "values": [4] },
"block_size": { "required": true, "values": [32] }
},
"typeConstraints": { "T1": ["float32", "float16"], "T2": ["uint8"] },
"tunables": {
"TILE_N": { "default": 8 },
"LANES": { "default": 8 },
"NORM_WORKGROUP_SIZE": { "default": 128 },
"ROW_TILE": { "default": 8 },
"DECODE_WORKGROUP_SIZE": { "default": 64 }
},
"derive": {
"aRows": "numel(shapes.aT) / max(1, attrs.K)",
"rowTile": "1 if aRows <= 1 else min(aRows, tunables.ROW_TILE)",
"rowGroups": "ceilDiv(aRows, rowTile)",
"codesPerByte": "8 / attrs.bits",
"codeMask": "3 if attrs.bits == 2 else (15 if attrs.bits == 4 else 255)",
"epsilonValue": "attrs.epsilon",
"lanesPow2": "tunables.LANES == pow2ceil(tunables.LANES)",
"decodeWalk": "aRows <= 1",
"aScalar": "\"f16\" if tensorDtypes.aT == \"float16\" else \"f32\"",
"scalar": "\"f16\" if tensorDtypes.aT == \"float16\" else \"f32\"",
"K": "attrs.K",
"blockSize": "attrs.block_size",
"bits": "attrs.bits",
"tileN": "tunables.TILE_N",
"lanes": "tunables.LANES",
"rowCount": "aRows",
"useSubgroups": "device.features.has(\"subgroups\")",
"hidden": "attrs.K",
"workgroupSize": "tunables.NORM_WORKGROUP_SIZE",
"epsilon": "epsilonValue",
"hasSkip": "present.skipT",
"writeResidual": "present.residualT",
"K_LEN": "attrs.K",
"kBlocks": "dim(shapes.qBT, 1)",
"blobSize": "dim(shapes.qBT, 2)",
"pairSharesWord": "codesPerByte >= 2",
"weightShapeOk": "ranks.qBT == 3 and ranks.kBT == 3 and ranks.vBT == 3 and dim(shapes.qBT, 0) == attrs.Nq and dim(shapes.kBT, 0) == attrs.Nkv and dim(shapes.vBT, 0) == attrs.Nkv and dim(shapes.kBT, 1) == kBlocks and dim(shapes.vBT, 1) == kBlocks and dim(shapes.kBT, 2) == blobSize and dim(shapes.vBT, 2) == blobSize and kBlocks == ceilDiv(attrs.K, attrs.block_size) and blobSize * 8 == attrs.block_size * attrs.bits",
"scaleShapeOk": "ranks.qScalesT == 2 and ranks.kScalesT == 2 and ranks.vScalesT == 2 and dim(shapes.qScalesT, 0) == attrs.Nq and dim(shapes.qScalesT, 1) == kBlocks and dim(shapes.kScalesT, 0) == attrs.Nkv and dim(shapes.kScalesT, 1) == kBlocks and dim(shapes.vScalesT, 0) == attrs.Nkv and dim(shapes.vScalesT, 1) == kBlocks",
"ioShapeOk": "(ranks.aT == 2 or ranks.aT == 3) and dim(shapes.aT, ranks.aT - 1) == attrs.K and ranks.qT == ranks.aT and ranks.kT == ranks.aT and ranks.vT == ranks.aT and dim(shapes.qT, ranks.qT - 1) == attrs.Nq and dim(shapes.kT, ranks.kT - 1) == attrs.Nkv and dim(shapes.vT, ranks.vT - 1) == attrs.Nkv and sameShape(prefix(shapes.qT, ranks.qT - 1), prefix(shapes.aT, ranks.aT - 1)) and sameShape(prefix(shapes.kT, ranks.kT - 1), prefix(shapes.aT, ranks.aT - 1)) and sameShape(prefix(shapes.vT, ranks.vT - 1), prefix(shapes.aT, ranks.aT - 1))",
"dtypeOk": "tensorDtypes.qBT == \"uint8\" and tensorDtypes.kBT == \"uint8\" and tensorDtypes.vBT == \"uint8\" and tensorDtypes.qScalesT == tensorDtypes.aT and tensorDtypes.kScalesT == tensorDtypes.aT and tensorDtypes.vScalesT == tensorDtypes.aT and tensorDtypes.qT == tensorDtypes.aT and tensorDtypes.kT == tensorDtypes.aT and tensorDtypes.vT == tensorDtypes.aT and tensorDtypes.normScaleT == tensorDtypes.aT and f16Ok(tensorDtypes.aT)",
"normContractOk": "ranks.normScaleT == 1 and dim(shapes.normScaleT, 0) == attrs.K and (sameShape(shapes.skipT, shapes.aT) and tensorDtypes.skipT == tensorDtypes.aT if present.skipT else true) and (sameShape(shapes.residualT, shapes.aT) and tensorDtypes.residualT == tensorDtypes.aT and present.skipT if present.residualT else true)",
"qkvShapeOk": "weightShapeOk and scaleShapeOk and ioShapeOk and dtypeOk and lanesPow2 and normContractOk and pairSharesWord and attrs.K > 0 and attrs.Nq > 0 and attrs.Nkv > 0",
"decodeCols": "4",
"gemvWalk": "rowTile == 1 and blobSize % 16 == 0",
"decodeActVec4": "gemvWalk and attrs.K % attrs.block_size == 0",
"tileCols": "decodeCols if decodeWalk else tunables.TILE_N",
"decodeWorkgroupOk": "tunables.DECODE_WORKGROUP_SIZE >= 4 and pow2ceil(tunables.DECODE_WORKGROUP_SIZE) == tunables.DECODE_WORKGROUP_SIZE and tunables.DECODE_WORKGROUP_SIZE <= device.limits.maxComputeInvocationsPerWorkgroup and tunables.DECODE_WORKGROUP_SIZE <= device.limits.maxComputeWorkgroupSizeX",
"projectionTiles": "ceilDiv(attrs.Nq, tileCols) + 2 * ceilDiv(attrs.Nkv, tileCols)",
"dispatchFits": "decodeWorkgroupOk and projectionTiles <= min(device.limits.maxComputeWorkgroupsPerDimension, 65535) and aRows <= min(device.limits.maxComputeWorkgroupsPerDimension, 65535) and tunables.TILE_N * tunables.LANES <= device.limits.maxComputeInvocationsPerWorkgroup and tunables.TILE_N * tunables.LANES <= device.limits.maxComputeWorkgroupSizeX and tunables.NORM_WORKGROUP_SIZE <= device.limits.maxComputeInvocationsPerWorkgroup and tunables.NORM_WORKGROUP_SIZE <= device.limits.maxComputeWorkgroupSizeX",
"nq": "attrs.Nq",
"nkv": "attrs.Nkv",
"defaultZero": "\"8.0\"",
"decodeNCols": "decodeCols",
"actVec4": "decodeActVec4",
"weightElement": "\"vec4<u32>\" if gemvWalk else \"u32\"",
"normedElement": "\"vec4<f32>\" if decodeActVec4 else \"f32\"",
"decodeWorkgroupSize": "tunables.DECODE_WORKGROUP_SIZE"
},
"when": ["dispatchFits", "qkvShapeOk"],
"bindings": {
"a": { "arg": "aT", "elementType": "$aScalar" },
"norm_scale": { "arg": "normScaleT", "elementType": "$aScalar", "length": "$K_LEN" },
"normed": { "scratch": "normedA", "elementType": "f32" },
"params": { "struct": [{ "name": "rows", "type": "u32", "value": "aRows" }] },
"skip": { "arg": "skipT", "elementType": "$aScalar" },
"residual": { "arg": "residualT", "elementType": "$aScalar" },
"normed_q": {
"scratch": "normedA",
"name": "normed",
"buffer": "read-only-storage",
"elementType": "$normedElement"
},
"q_b": { "arg": "qBT", "elementType": "$weightElement" },
"q_scales": { "arg": "qScalesT", "elementType": "$aScalar" },
"k_b": { "arg": "kBT", "elementType": "$weightElement" },
"k_scales": { "arg": "kScalesT", "elementType": "$aScalar" },
"v_b": { "arg": "vBT", "elementType": "$weightElement" },
"v_scales": { "arg": "vScalesT", "elementType": "$aScalar" },
"q": { "arg": "qT", "elementType": "$aScalar" },
"k": { "arg": "kT", "elementType": "$aScalar" },
"v": { "arg": "vT", "elementType": "$aScalar" }
},
"variants": [
{
"id": "norm",
"priority": 20,
"when": ["not hasSkip", "not writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "norm_scale", "normed", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "main",
"name": "MatMulNBitsQkv.Projection",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"\"" },
"bindings": ["normed_q", "q_b", "q_scales", "k_b", "k_scales", "v_b", "v_scales", "q", "k", "v"],
"dispatch": { "x": "projectionTiles", "y": "rowGroups" }
}
]
},
{
"id": "split_norm",
"priority": 10,
"when": ["not hasSkip", "not writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "norm_scale", "normed", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "q",
"name": "MatMulNBitsQkv.ProjectionQ",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"q\"" },
"bindings": ["normed_q", "q_b", "q_scales", "q"],
"dispatch": { "x": "ceilDiv(attrs.Nq, tileCols)", "y": "rowGroups" }
},
{
"id": "k",
"name": "MatMulNBitsQkv.ProjectionK",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"k\"" },
"bindings": ["normed_q", "k_b", "k_scales", "k"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
},
{
"id": "v",
"name": "MatMulNBitsQkv.ProjectionV",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"v\"" },
"bindings": ["normed_q", "v_b", "v_scales", "v"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
}
]
},
{
"id": "skip",
"priority": 20,
"when": ["hasSkip", "not writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "skip", "norm_scale", "normed", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "main",
"name": "MatMulNBitsQkv.Projection",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"\"" },
"bindings": ["normed_q", "q_b", "q_scales", "k_b", "k_scales", "v_b", "v_scales", "q", "k", "v"],
"dispatch": { "x": "projectionTiles", "y": "rowGroups" }
}
]
},
{
"id": "split_skip",
"priority": 10,
"when": ["hasSkip", "not writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "skip", "norm_scale", "normed", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "q",
"name": "MatMulNBitsQkv.ProjectionQ",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"q\"" },
"bindings": ["normed_q", "q_b", "q_scales", "q"],
"dispatch": { "x": "ceilDiv(attrs.Nq, tileCols)", "y": "rowGroups" }
},
{
"id": "k",
"name": "MatMulNBitsQkv.ProjectionK",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"k\"" },
"bindings": ["normed_q", "k_b", "k_scales", "k"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
},
{
"id": "v",
"name": "MatMulNBitsQkv.ProjectionV",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"v\"" },
"bindings": ["normed_q", "v_b", "v_scales", "v"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
}
]
},
{
"id": "skipsum",
"priority": 20,
"when": ["hasSkip", "writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "skip", "norm_scale", "normed", "residual", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "main",
"name": "MatMulNBitsQkv.Projection",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"\"" },
"bindings": ["normed_q", "q_b", "q_scales", "k_b", "k_scales", "v_b", "v_scales", "q", "k", "v"],
"dispatch": { "x": "projectionTiles", "y": "rowGroups" }
}
]
},
{
"id": "split_skipsum",
"priority": 10,
"when": ["hasSkip", "writeResidual"],
"intermediates": [{ "id": "normedA", "dtype": "float32", "shape": "[numel(shapes.aT)]" }],
"passes": [
{
"id": "norm",
"name": "MatMulNBitsQkv.RmsNorm",
"shader": "matmul-nbits-fused-rms-norm.wgsl.jinja",
"bindings": ["a", "skip", "norm_scale", "normed", "residual", "params"],
"dispatch": { "x": "min(aRows, 65535)", "y": "ceilDiv(aRows, 65535)", "z": 1 }
},
{
"id": "q",
"name": "MatMulNBitsQkv.ProjectionQ",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"q\"" },
"bindings": ["normed_q", "q_b", "q_scales", "q"],
"dispatch": { "x": "ceilDiv(attrs.Nq, tileCols)", "y": "rowGroups" }
},
{
"id": "k",
"name": "MatMulNBitsQkv.ProjectionK",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"k\"" },
"bindings": ["normed_q", "k_b", "k_scales", "k"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
},
{
"id": "v",
"name": "MatMulNBitsQkv.ProjectionV",
"shader": "qkv-projection.wgsl.jinja",
"derive": { "singleProjection": "\"v\"" },
"bindings": ["normed_q", "v_b", "v_scales", "v"],
"dispatch": { "x": "ceilDiv(attrs.Nkv, tileCols)", "y": "rowGroups" }
}
]
}
]
}
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