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17 changes: 11 additions & 6 deletions mlir/lib/Dialect/Vector/IR/VectorOps.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -912,22 +912,27 @@ Type ContractionOp::getExpectedMaskType() {

unsigned numVecDims = lhsIdxMap.getNumDims();
SmallVector<int64_t> maskShape(numVecDims, ShapedType::kDynamic);
SmallVector<bool> maskShapeScalableDims(numVecDims, false);

// Using the information in the indexing maps, extract the size of each
// dimension in the vector.contract operation from the two input operands.
for (auto [dimIdx, dimSize] : llvm::enumerate(lhsType.getShape()))
for (auto [dimIdx, dimSize] : llvm::enumerate(lhsType.getShape())) {
maskShape[lhsIdxMap.getDimPosition(dimIdx)] = dimSize;
for (auto [dimIdx, dimSize] : llvm::enumerate(rhsType.getShape()))
maskShapeScalableDims[lhsIdxMap.getDimPosition(dimIdx)] =
lhsType.getScalableDims()[dimIdx];
}
for (auto [dimIdx, dimSize] : llvm::enumerate(rhsType.getShape())) {
maskShape[rhsIdxMap.getDimPosition(dimIdx)] = dimSize;
maskShapeScalableDims[rhsIdxMap.getDimPosition(dimIdx)] =
rhsType.getScalableDims()[dimIdx];
}

assert(!ShapedType::isDynamicShape(maskShape) &&
"Mask shape couldn't be computed");
// TODO: Extend the scalable vector type representation with a bit map.
assert(!lhsType.isScalable() && !rhsType.isScalable() &&
"Scalable vectors are not supported yet");

return VectorType::get(maskShape,
IntegerType::get(lhsType.getContext(), /*width=*/1));
IntegerType::get(lhsType.getContext(), /*width=*/1),
maskShapeScalableDims);
}

SmallVector<StringRef> ContractionOp::getTraitAttrNames() {
Expand Down
24 changes: 24 additions & 0 deletions mlir/test/Dialect/Vector/ops.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -979,3 +979,27 @@ func.func @vector_scalable_extract(%sv: vector<[8]xi32>) {
%2 = vector.scalable.extract %sv[4] : vector<4xi32> from vector<[8]xi32>
return
}

#matmat_accesses = [
affine_map<(i, j, k) -> (i, k)>,
affine_map<(i, j, k) -> (k, j)>,
affine_map<(i, j, k) -> (i, j)>
]
#matmat_trait = {
indexing_maps = #matmat_accesses,
iterator_types = ["parallel", "parallel", "reduction"]
}
// CHECK-LABEL: func.func @contraction_masked_scalable(
// CHECK-SAME: %[[A:.*]]: vector<3x4xf32>,
// CHECK-SAME: %[[B:.*]]: vector<4x[8]xf32>,
// CHECK-SAME: %[[C:.*]]: vector<3x[8]xf32>,
// CHECK-SAME: %[[M:.*]]: vector<3x[8]x4xi1>) -> vector<3x[8]xf32> {
func.func @contraction_masked_scalable(%A: vector<3x4xf32>,
%B: vector<4x[8]xf32>,
%C: vector<3x[8]xf32>,
%M : vector<3x[8]x4xi1>) -> vector<3x[8]xf32> {
// CHECK: vector.mask %[[M]] { vector.contract {indexing_maps = [#{{.*}}, #{{.*}}, #{{.*}}], iterator_types = ["parallel", "parallel", "reduction"], kind = #vector.kind<add>} %[[A]], %[[B]], %[[C]] : vector<3x4xf32>, vector<4x[8]xf32> into vector<3x[8]xf32> } : vector<3x[8]x4xi1> -> vector<3x[8]xf32>
%0 = vector.mask %M { vector.contract #matmat_trait %A, %B, %C : vector<3x4xf32>, vector<4x[8]xf32> into vector<3x[8]xf32> }
: vector<3x[8]x4xi1> -> vector<3x[8]xf32>
return %0 : vector<3x[8]xf32>
}