[mlir][vector] Add new lowering mode to vector.contractionOp

[ThomasRaoux]

Summary

Add lowering for cases where the reduction dimension is fully unrolled.
It is common to unroll the reduction dimension, therefore we would want
to lower the contractions to an elementwise vector op in this case.

[antiagainst]

Nice, thanks for this, Thomas!

mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp

169

This need to check the acc's type is a vector type. Otherwise we might generate vector.fma with scalar types, which is invalid.

186

Could use isReductionIterator over Attribute directly here?

204

Nit: using else to wrap L206 might read better.

626

Can use llvm::concat to loop over lhsReductionDims and rhsReductionDims together?

647

Nice stuff with vector.extract and vector.broadcast! :D

[ThomasRaoux]

Address review comments and fix bug

[ThomasRaoux]

mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp

169

good catch! Fixed it and added a test for that case.

204

Turns out this function had some more problem, it is not there anymore in the new version

626

I don't think so since they have to index into different arrays.

mlir/include/mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h

 /// Enum to control the lowering of `vector.contract` operations.
 enum class VectorContractLowering {
   /// Progressively lower to finer grained `vector.contract` and dot-products.
   Dot = 0,
   /// Lower to `vector.matrix_multiply`, maps 1-1 to LLVM matrix intrinsics.
   Matmul = 1,
   /// Lower to `vector.outerproduct`.
   OuterProduct = 2,
+  /// Lower contract with all reduction dimensions unrolled to 1 to a vector
+  /// elementwise operations.
+  ParallelArith = 3,
 };
 /// Enum to control the splitting of `vector.transfer` operations into
 /// in-bounds and out-of-bounds variants.
 enum class VectorTransferSplit {
   /// Do not split vector transfer operations.
   None = 0,
   /// Split using in-bounds + out-of-bounds vector.transfer operations.
   VectorTransfer = 1,

mlir/lib/Dialect/Vector/Transforms/VectorTransforms.cpp

 
 template <typename IntType>
 static SmallVector<IntType, 4> extractVector(ArrayAttr arrayAttr) {
   return llvm::to_vector<4>(llvm::map_range(
       arrayAttr.getAsRange<IntegerAttr>(),
       [](IntegerAttr attr) { return static_cast<IntType>(attr.getInt()); }));
 }
 
+/// Helper to create arithmetic operation associated with a kind of contraction.
+static Optional<Value> createContractArithOp(Location loc, Value x, Value y,
+                                             Value acc,
+                                             vector::CombiningKind kind,
+                                             PatternRewriter &rewriter,
+                                             bool isInt) {
+  using vector::CombiningKind;
+  Value mul;
+  if (isInt) {
+    if (kind == CombiningKind::MINF || kind == CombiningKind::MAXF)
+      // Only valid for floating point types.
+      return Optional<Value>();
+    mul = rewriter.create<arith::MulIOp>(loc, x, y);
+  } else {
+    // Float case.
+    if (kind == CombiningKind::AND || kind == CombiningKind::MINUI ||
+        kind == CombiningKind::MINSI || kind == CombiningKind::MAXUI ||
+        kind == CombiningKind::MAXSI || kind == CombiningKind::OR ||
+        kind == CombiningKind::XOR)
+      // Only valid for integer types.
+      return Optional<Value>();
+    // Special case for fused multiply-add.
+    if (acc && acc.getType().isa<VectorType>() && kind == CombiningKind::ADD) {
+      return Optional<Value>(rewriter.create<vector::FMAOp>(loc, x, y, acc));
+    }
+    mul = rewriter.create<arith::MulFOp>(loc, x, y);
+  }
+  if (!acc)
+    return Optional<Value>(mul);
+  return makeArithReduction(rewriter, loc, kind, mul, acc);
+}
+
+/// Return the positions of the reductions in the given map.
+static SmallVector<int64_t> getReductionIndex(AffineMap map,
+                                              ArrayAttr iteratorTypes) {
+  SmallVector<int64_t> dimsIdx;
+  for (unsigned i = 0, e = map.getNumResults(); i < e; i++) {
+    if (isReductionIterator(iteratorTypes[map.getDimPosition(i)]))
+      dimsIdx.push_back(i);
+  }
+  return dimsIdx;
+}
+
+/// Look for a given dimension in an affine map and return its position. Return
+/// llvm::None if the dimension is not in the map results.
+static llvm::Optional<unsigned> getDimPosition(AffineMap map, unsigned dim) {
+  for (unsigned i = 0, e = map.getNumResults(); i < e; i++) {
+    if (map.getDimPosition(i) == dim)
+      return i;
+  }
+  return llvm::None;
+}
+
 namespace {
 
 /// ShapeCastOpFolder folds cancelling ShapeCastOps away.
 //
 // Example:
 //
 //  The following MLIR with cancelling ShapeCastOps:
 //
 //   %0 = source : vector<5x4x2xf32>
 //   %1 = shape_cast %0 : vector<5x4x2xf32> to vector<20x2xf32>
 //   %2 = shape_cast %1 : vector<20x2xf32> to vector<5x4x2xf32>
 //   %3 = user %2 : vector<5x4x2xf32>
 //
LogicalResult matchAndRewrite(vector::OuterProductOp op,
     Type eltType = resType.getElementType();
     bool isInt = eltType.isa<IntegerType, IndexType>();
     Value acc = (op.getAcc().empty()) ? nullptr : op.getAcc()[0];
     vector::CombiningKind kind = op.getKind();
 
     if (!rhsType) {
       // Special case: AXPY operation.
       Value b = rewriter.create<vector::BroadcastOp>(loc, lhsType, op.getRhs());
-      Optional<Value> mult =
-          isInt ? genMultI(loc, op.getLhs(), b, acc, kind, rewriter)
-                : genMultF(loc, op.getLhs(), b, acc, kind, rewriter);
+      Optional<Value> mult = createContractArithOp(loc, op.getLhs(), b, acc,
+                                                   kind, rewriter, isInt);
       if (!mult.hasValue())
         return failure();
       rewriter.replaceOp(op, mult.getValue());
       return success();
     }
 
     Value result = rewriter.create<arith::ConstantOp>(
         loc, resType, rewriter.getZeroAttr(resType));
     for (int64_t d = 0, e = resType.getDimSize(0); d < e; ++d) {
       auto pos = rewriter.getI64ArrayAttr(d);
       Value x =
           rewriter.create<vector::ExtractOp>(loc, eltType, op.getLhs(), pos);
       Value a = rewriter.create<vector::BroadcastOp>(loc, rhsType, x);
       Value r = nullptr;
       if (acc)
         r = rewriter.create<vector::ExtractOp>(loc, rhsType, acc, pos);
       Optional<Value> m =
-          isInt ? genMultI(loc, a, op.getRhs(), r, kind, rewriter)
-                : genMultF(loc, a, op.getRhs(), r, kind, rewriter);
+          createContractArithOp(loc, a, op.getRhs(), r, kind, rewriter, isInt);
       if (!m.hasValue())
         return failure();
       result = rewriter.create<vector::InsertOp>(loc, resType, m.getValue(),
                                                  result, pos);
     }
     rewriter.replaceOp(op, result);
     return success();
   }
+};
 
-private:
-  static Optional<Value> genMultI(Location loc, Value x, Value y, Value acc,
-                                  vector::CombiningKind kind,
-                                  PatternRewriter &rewriter) {
-    using vector::CombiningKind;
-
-    auto mul = rewriter.create<arith::MulIOp>(loc, x, y);
-    if (!acc)
-      return Optional<Value>(mul);
-
-    if (kind == CombiningKind::MINF || kind == CombiningKind::MAXF)
-      // Only valid for floating point types.
-      return Optional<Value>();
-
-    return makeArithReduction(rewriter, loc, kind, mul, acc);
-  }
-
-  static Optional<Value> genMultF(Location loc, Value x, Value y, Value acc,
-                                  vector::CombiningKind kind,
-                                  PatternRewriter &rewriter) {
-    using vector::CombiningKind;
-
-    // Special case for fused multiply-add.
-    if (acc && kind == CombiningKind::ADD) {
-      return Optional<Value>(rewriter.create<vector::FMAOp>(loc, x, y, acc));
-    }
+/// Lower vector.contract with all size one reduction dimensions to
+/// elementwise ops when possible.
+struct ContractOpToElementwise
+    : public OpRewritePattern<vector::ContractionOp> {
+  using OpRewritePattern::OpRewritePattern;
+  using FilterConstraintType =
+      std::function<LogicalResult(vector::ContractionOp op)>;
+  static LogicalResult defaultFilter(vector::ContractionOp op) {
+    return success();
+  ContractOpToElementwise(
+      vector::VectorTransformsOptions vectorTransformOptions,
+      MLIRContext *context,
+      const FilterConstraintType &constraint = defaultFilter)
+      : OpRewritePattern<vector::ContractionOp>(context),
+        vectorTransformOptions(vectorTransformOptions), filter(defaultFilter) {}
 
-    auto mul = rewriter.create<arith::MulFOp>(loc, x, y);
-
-    if (!acc)
-      return Optional<Value>(mul);
+  LogicalResult matchAndRewrite(vector::ContractionOp contractOp,
+                                PatternRewriter &rewriter) const override {
+    // TODO: implement masks
+    if (llvm::size(contractOp.getMasks()) != 0)
+      return failure();
 
-    if (kind == CombiningKind::ADD || kind == CombiningKind::AND ||
-        kind == CombiningKind::MINUI || kind == CombiningKind::MINSI ||
-        kind == CombiningKind::MAXUI || kind == CombiningKind::MAXSI ||
-        kind == CombiningKind::OR || kind == CombiningKind::XOR)
-      // Already handled or only valid for integer types.
-      return Optional<Value>();
+    if (failed(filter(contractOp)))
+      return failure();
 
-    return makeArithReduction(rewriter, loc, kind, mul, acc);
+    if (vectorTransformOptions.vectorContractLowering !=
+        vector::VectorContractLowering::ParallelArith)
+      return failure();
+    ArrayRef<int64_t> lhsShape = contractOp.getLhsType().getShape();
+    ArrayRef<int64_t> rhsShape = contractOp.getRhsType().getShape();
+    AffineMap lhsMap = contractOp.getIndexingMaps()[0];
+    AffineMap rhsMap = contractOp.getIndexingMaps()[1];
+    SmallVector<int64_t> lhsReductionDims =
+        getReductionIndex(lhsMap, contractOp.getIteratorTypes());
+    SmallVector<int64_t> rhsReductionDims =
+        getReductionIndex(rhsMap, contractOp.getIteratorTypes());
+    // All the reduction dimensions must be a size 1.
+    for (int64_t dim : lhsReductionDims) {
+      if (lhsShape[dim] != 1)
+        return failure();
+    }
+    for (int64_t dim : rhsReductionDims) {
+      if (rhsShape[dim] != 1)
+        return failure();
+    }
+    AffineMap accMap = contractOp.getIndexingMaps()[2];
+    unsigned numParallelDims = accMap.getNumResults();
+    unsigned numLhsDimToBroadcast =
+        numParallelDims - (lhsMap.getNumResults() - lhsReductionDims.size());
+    unsigned numRhsDimToBroadcast =
+        numParallelDims - (rhsMap.getNumResults() - rhsReductionDims.size());
+    SmallVector<int64_t> lhsDims;
+    SmallVector<int64_t> lhsTranspose;
+    SmallVector<int64_t> rhsDims;
+    SmallVector<int64_t> rhsTranspose;
+    for (int64_t dim : lhsReductionDims)
+      lhsTranspose.push_back(numLhsDimToBroadcast + dim);
+    for (int64_t dim : rhsReductionDims)
+      rhsTranspose.push_back(numRhsDimToBroadcast + dim);
+    // Loop through the parallel dimensions to calculate the dimensions to
+    // broadcast and to permute in order to extract only parallel dimensions.
+    for (unsigned i = 0; i < numParallelDims; i++) {
+      llvm::Optional<unsigned> lhsDim =
+          getDimPosition(lhsMap, accMap.getDimPosition(i));
+      if (lhsDim) {
+        lhsTranspose.push_back(numLhsDimToBroadcast + *lhsDim);
+      } else {
+        // If the parallel dimension doesn't exist we will have to broadcast it.
+        lhsDims.push_back(
+            contractOp.getResultType().cast<VectorType>().getDimSize(i));
+        lhsTranspose.push_back(lhsDims.size() - 1);
+      }
+      llvm::Optional<unsigned> rhsDim =
+          getDimPosition(rhsMap, accMap.getDimPosition(i));
+      if (rhsDim) {
+        rhsTranspose.push_back(numRhsDimToBroadcast + *rhsDim);
+      } else {
+        // If the parallel dimension doesn't exist we will have to broadcast it.
+        rhsDims.push_back(
+            contractOp.getResultType().cast<VectorType>().getDimSize(i));
+        rhsTranspose.push_back(rhsDims.size() - 1);
+      }
+    }
+    Value newLhs = contractOp.getLhs();
+    Value newRhs = contractOp.getRhs();
+    Location loc = contractOp.getLoc();
+    if (!lhsDims.empty()) {
+      lhsDims.append(lhsShape.begin(), lhsShape.end());
+      auto expandedType =
+          VectorType::get(lhsDims, contractOp.getLhsType().getElementType());
+      newLhs = rewriter.create<vector::BroadcastOp>(loc, expandedType, newLhs);
+    }
+    if (!rhsDims.empty()) {
+      rhsDims.append(rhsShape.begin(), rhsShape.end());
+      auto expandedType =
+          VectorType::get(rhsDims, contractOp.getRhsType().getElementType());
+      newRhs = rewriter.create<vector::BroadcastOp>(loc, expandedType, newRhs);
+    }
+    bool isInt = contractOp.getLhsType().getElementType().isIntOrIndex();
+    newLhs = rewriter.create<vector::TransposeOp>(loc, newLhs, lhsTranspose);
+    newRhs = rewriter.create<vector::TransposeOp>(loc, newRhs, rhsTranspose);
+    SmallVector<int64_t, 4> lhsOffsets(lhsReductionDims.size(), 0);
+    SmallVector<int64_t, 4> rhsOffsets(rhsReductionDims.size(), 0);
+    newLhs = rewriter.create<vector::ExtractOp>(
+        loc, newLhs, rewriter.getI64ArrayAttr(lhsOffsets));
+    newRhs = rewriter.create<vector::ExtractOp>(
+        loc, newRhs, rewriter.getI64ArrayAttr(rhsOffsets));
+    Optional<Value> result =
+        createContractArithOp(loc, newLhs, newRhs, contractOp.getAcc(),
+                              contractOp.getKind(), rewriter, isInt);
+    rewriter.replaceOp(contractOp, {*result});
+    return success();
   }
+
+private:
+  /// Options to control the vector patterns.
+  vector::VectorTransformsOptions vectorTransformOptions;
+  FilterConstraintType filter;
 };
 
 /// Progressive lowering of ConstantMaskOp.
 /// One:
 ///   %x = vector.constant_mask [a,b]
 /// is replaced by:
 ///   %z = zero-result
 ///   %l = vector.constant_mask [b]
ContractionOpLowering::matchAndRewrite(vector::ContractionOp op,
   if (succeeded(pat1.matchAndRewrite(op, rewriter)))
     return success();
   ContractionOpToOuterProductOpLowering pat2(vectorTransformOptions, ctx);
   if (succeeded(pat2.matchAndRewrite(op, rewriter)))
     return success();
   ContractionOpToDotLowering pat3(vectorTransformOptions, ctx);
   if (succeeded(pat3.matchAndRewrite(op, rewriter)))
     return success();
+  ContractOpToElementwise pat4(vectorTransformOptions, ctx);
+  if (succeeded(pat4.matchAndRewrite(op, rewriter)))
+    return success();
 
   // Find first batch dimension in LHS/RHS, and lower when found.
   std::vector<std::pair<int64_t, int64_t>> batchDimMap = op.getBatchDimMap();
   if (!batchDimMap.empty()) {
     int64_t lhsIndex = batchDimMap[0].first;
     int64_t rhsIndex = batchDimMap[0].second;
     rewriter.replaceOp(op, lowerParallel(op, lhsIndex, rhsIndex, rewriter));
     return success();

mlir/test/Dialect/Vector/vector-contract-transforms.mlir

 // RUN: mlir-opt %s -test-vector-contraction-lowering | FileCheck %s
 // RUN: mlir-opt %s -test-vector-contraction-lowering=vector-lower-matrix-intrinsics=1 | FileCheck %s --check-prefix=MATRIX
 // RUN: mlir-opt %s -test-vector-contraction-lowering=vector-outerproduct=1 | FileCheck %s --check-prefix=OUTERPRODUCT
 // RUN: mlir-opt %s -test-vector-contraction-lowering=vector-filter-outerproduct=1 | FileCheck %s --check-prefix=FILTEROUTERPRODUCT
+// RUN: mlir-opt %s -test-vector-contraction-lowering=vector-parallel-arith=1 | FileCheck %s --check-prefix=PARALLEL
 
 #dotp_accesses = [
   affine_map<(i) -> (i)>,
   affine_map<(i) -> (i)>,
   affine_map<(i) -> ()>
 ]
 #dotp_trait = {
   indexing_maps = #dotp_accesses,

 //      FILTEROUTERPRODUCT: %[[c0:.*]] = vector.contract {{{.*}}} %[[A]], %[[B]], %[[C]]
 func.func @matmul_4_not_filtered(%arg0: vector<3x4xf32>, %arg1: vector<4x4xf32>, %arg2: vector<3x4xf32>)
 -> vector<3x4xf32>
 {
   %0 = vector.contract #matmat_trait_0 %arg0, %arg1, %arg2
     : vector<3x4xf32>, vector<4x4xf32> into vector<3x4xf32>
   return %0 : vector<3x4xf32>
 }
+
+// PARALLEL-LABEL: func @parrallel_contract_lowering
+//       PARALLEL:   %[[E0:.*]] = vector.extract %{{.*}}[0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[E1:.*]] = vector.extract %{{.*}}[0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[F:.*]] = vector.fma %[[E0]], %[[E1]], %{{.*}} : vector<4xf32>
+//       PARALLEL:   return %[[F]] : vector<4xf32>
+func.func @parrallel_contract_lowering(%arg0: vector<1x1x4xf32>, %arg1: vector<1x1x4xf32>, %arg2: vector<4xf32>) -> vector<4xf32> {
+  %0 = vector.contract {indexing_maps = [affine_map<(d0, d1, d2) -> (d1, d2, d0)>, affine_map<(d0, d1, d2) -> (d1, d2, d0)>, affine_map<(d0, d1, d2) -> (d0)>], iterator_types = ["parallel", "reduction", "reduction"], kind = #vector.kind<add>} %arg0, %arg1, %arg2 : vector<1x1x4xf32>, vector<1x1x4xf32> into vector<4xf32>
+  return %0 : vector<4xf32>
+}
+
+// PARALLEL-LABEL: func @parrallel_contract_lowering_broadcast
+//       PARALLEL:   %[[B:.*]] = vector.broadcast %{{.*}} : vector<1x1xf32> to vector<4x1x1xf32>
+//       PARALLEL:   %[[T:.*]] = vector.transpose %[[B]], [1, 2, 0] : vector<4x1x1xf32> to vector<1x1x4xf32>
+//       PARALLEL:   %[[E0:.*]] = vector.extract %[[T]][0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[E1:.*]] = vector.extract %{{.*}}[0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[F:.*]] = vector.fma %[[E0]], %[[E1]], %{{.*}} : vector<4xf32>
+//       PARALLEL:   return %[[F]] : vector<4xf32>
+func.func @parrallel_contract_lowering_broadcast(%arg0: vector<1x1xf32>, %arg1: vector<1x1x4xf32>, %arg2: vector<4xf32>) -> vector<4xf32> {
+  %0 = vector.contract {indexing_maps = [affine_map<(d0, d1, d2) -> (d1, d2)>, affine_map<(d0, d1, d2) -> (d1, d2, d0)>, affine_map<(d0, d1, d2) -> (d0)>], iterator_types = ["parallel", "reduction", "reduction"], kind = #vector.kind<add>} %arg0, %arg1, %arg2 : vector<1x1xf32>, vector<1x1x4xf32> into vector<4xf32>
+  return %0 : vector<4xf32>
+}
+
+// PARALLEL-LABEL: func @parrallel_contract_lowering
+//       PARALLEL:   %[[B:.*]] = vector.broadcast %{{.*}} : vector<1x1xf32> to vector<4x1x1xf32>
+//       PARALLEL:   %[[T0:.*]] = vector.transpose %[[B]], [1, 2, 0] : vector<4x1x1xf32> to vector<1x1x4xf32>
+//       PARALLEL:   %[[T1:.*]] = vector.transpose %{{.*}}, [0, 2, 1] : vector<1x4x1xf32> to vector<1x1x4xf32>
+//       PARALLEL:   %[[E0:.*]] = vector.extract %[[T0]][0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[E1:.*]] = vector.extract %[[T1]][0, 0] : vector<1x1x4xf32>
+//       PARALLEL:   %[[F:.*]] = vector.fma %[[E0]], %[[E1]], %arg2 : vector<4xf32>
+//       PARALLEL:   return %[[F]] : vector<4xf32>
+func.func @parrallel_contract_lowering_transpose(%arg0: vector<1x1xf32>, %arg1: vector<1x4x1xf32>, %arg2: vector<4xf32>) -> vector<4xf32> {
+  %0 = vector.contract {indexing_maps = [affine_map<(d0, d1, d2) -> (d1, d2)>, affine_map<(d0, d1, d2) -> (d1, d0, d2)>, affine_map<(d0, d1, d2) -> (d0)>], iterator_types = ["parallel", "reduction", "reduction"], kind = #vector.kind<add>} %arg0, %arg1, %arg2 : vector<1x1xf32>, vector<1x4x1xf32> into vector<4xf32>
+  return %0 : vector<4xf32>
+}
+
+// PARALLEL-LABEL: func @parrallel_contract_lowering_scalar
+//       PARALLEL:   %[[E0:.*]] = vector.extract %{{.*}}[0, 0] : vector<1x1xf32>
+//       PARALLEL:   %[[E1:.*]] = vector.extract %{{.*}}[0, 0] : vector<1x1xf32>
+//       PARALLEL:   %[[M:.*]] = arith.mulf %[[E0]], %[[E1]] : f32
+//       PARALLEL:   %[[A:.*]] = arith.addf %[[M]], %{{.*}} : f32
+//       PARALLEL:   return %[[A]] : f32
+func.func @parrallel_contract_lowering_scalar(%arg0: vector<1x1xf32>, %arg1: vector<1x1xf32>, %arg2: f32) -> f32 {
+  %0 = vector.contract {
+    indexing_maps = [affine_map<(d0, d1) -> (d0, d1)>,
+                     affine_map<(d0, d1) -> (d0, d1)>,
+                     affine_map<(d0, d1) -> ()>],
+    iterator_types = ["reduction", "reduction"], kind = #vector.kind<add>}
+  %arg0, %arg1, %arg2 : vector<1x1xf32>, vector<1x1xf32> into f32
+  return %0 : f32
+}

mlir/test/lib/Dialect/Vector/TestVectorTransforms.cpp

Option<bool> lowerToOuterProduct{
       *this, "vector-outerproduct",
       llvm::cl::desc("Lower vector.contract to vector.outerproduct"),
       llvm::cl::init(false)};
   Option<bool> lowerToFilterOuterProduct{
       *this, "vector-filter-outerproduct",
       llvm::cl::desc("Lower vector.contract to vector.outerproduct but not for "
                      "vectors of size 4."),
       llvm::cl::init(false)};
+  Option<bool> lowerToParallelArith{
+      *this, "vector-parallel-arith",
+      llvm::cl::desc("Lower vector.contract to elementwise vector ops."),
+      llvm::cl::init(false)};
 
   void runOnOperation() override {
     RewritePatternSet patterns(&getContext());
 
     // Test on one pattern in isolation.
     if (lowerToOuterProduct) {
       VectorContractLowering lowering = VectorContractLowering::OuterProduct;
       VectorTransformsOptions options{lowering};
if (lowerToFilterOuterProduct) {
             if (op.getRhsType().getShape()[0] == 4)
               return failure();
             return success();
           });
       (void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns));
       return;
     }
 
+    if (lowerToParallelArith) {
+      vector::populateVectorContractLoweringPatterns(
+          patterns,
+          vector::VectorTransformsOptions().setVectorTransformsOptions(
+              vector::VectorContractLowering::ParallelArith));
+      (void)applyPatternsAndFoldGreedily(getOperation(), std::move(patterns));
+      return;
+    }
+
     // Test on all contract lowering patterns.
     VectorContractLowering contractLowering = VectorContractLowering::Dot;
     if (lowerToFlatMatrix)
       contractLowering = VectorContractLowering::Matmul;
     VectorMultiReductionLowering vectorMultiReductionLowering =
         VectorMultiReductionLowering::InnerParallel;
     VectorTransformsOptions options{contractLowering,
                                     vectorMultiReductionLowering,