[Mlir-commits] [mlir] 617ca92 - Revert "Added canonicalization for vector.multi_reduction"

Murali Vijayaraghavan llvmlistbot at llvm.org
Wed Oct 5 14:47:34 PDT 2022


Author: Murali Vijayaraghavan
Date: 2022-10-05T21:43:51Z
New Revision: 617ca92bf155da73a8552345598a920777643e53

URL: https://github.com/llvm/llvm-project/commit/617ca92bf155da73a8552345598a920777643e53
DIFF: https://github.com/llvm/llvm-project/commit/617ca92bf155da73a8552345598a920777643e53.diff

LOG: Revert "Added canonicalization for vector.multi_reduction"

This reverts commit c16f3260a9255c7d9880f72de7d856f9ceeb1866.

There's a bug in the commit creates a scalar result with `ShapeCastOp`.
Reverting till that fix is done.

Added: 
    

Modified: 
    mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
    mlir/lib/Dialect/Vector/IR/VectorOps.cpp
    mlir/test/Dialect/Vector/canonicalize.mlir

Removed: 
    


################################################################################
diff  --git a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
index 575dfbb9a2114..94d0ea939d58d 100644
--- a/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
+++ b/mlir/include/mlir/Dialect/Vector/IR/VectorOps.td
@@ -396,7 +396,6 @@ def Vector_MultiDimReductionOp :
   let assemblyFormat =
     "$kind `,` $source `,` $acc attr-dict $reduction_dims `:` type($source) `to` type($dest)";
   let hasFolder = 1;
-  let hasCanonicalizer = 1;
   let hasVerifier = 1;
 }
 

diff  --git a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
index 751a592b60aa9..4929ca170b1d1 100644
--- a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
+++ b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
@@ -309,40 +309,6 @@ LogicalResult MultiDimReductionOp::verify() {
   return success();
 }
 
-namespace {
-// Only unit dimensions that are being reduced are folded. If the dimension is
-// unit, but not reduced, it is not folded, thereby keeping the output type the
-// same. If not all dimensions which are reduced are of unit dimension, this
-// transformation does nothing. This is just a generalization of
-// ElideSingleElementReduction for ReduceOp.
-struct ElideUnitDimsInMultiDimReduction
-    : public OpRewritePattern<MultiDimReductionOp> {
-  using OpRewritePattern::OpRewritePattern;
-
-  LogicalResult matchAndRewrite(MultiDimReductionOp reductionOp,
-                                PatternRewriter &rewriter) const override {
-    ArrayRef<int64_t> shape = reductionOp.getSourceVectorType().getShape();
-    for (auto dim : enumerate(shape)) {
-      if (reductionOp.isReducedDim(dim.index()) && dim.value() != 1)
-        return failure();
-    }
-    Location loc = reductionOp.getLoc();
-    Value acc = reductionOp.getAcc();
-    Value cast = rewriter.create<vector::ShapeCastOp>(
-        loc, reductionOp.getDestType(), reductionOp.getSource());
-    Value result = vector::makeArithReduction(rewriter, loc,
-                                              reductionOp.getKind(), acc, cast);
-    rewriter.replaceOp(reductionOp, result);
-    return success();
-  }
-};
-} // namespace
-
-void MultiDimReductionOp::getCanonicalizationPatterns(
-    RewritePatternSet &results, MLIRContext *context) {
-  results.add<ElideUnitDimsInMultiDimReduction>(context);
-}
-
 //===----------------------------------------------------------------------===//
 // ReductionOp
 //===----------------------------------------------------------------------===//

diff  --git a/mlir/test/Dialect/Vector/canonicalize.mlir b/mlir/test/Dialect/Vector/canonicalize.mlir
index 34d292f6d4c56..15c78c1118096 100644
--- a/mlir/test/Dialect/Vector/canonicalize.mlir
+++ b/mlir/test/Dialect/Vector/canonicalize.mlir
@@ -1348,31 +1348,6 @@ func.func @vector_multi_reduction_single_parallel(%arg0: vector<2xf32>, %acc: ve
 
 // -----
 
-// CHECK-LABEL: func @vector_multi_reduction_unit_dimensions(
-//  CHECK-SAME: %[[SOURCE:.+]]: vector<5x1x4x1x20xf32>, %[[ACC:.+]]: vector<5x4x20xf32>
-func.func @vector_multi_reduction_unit_dimensions(%source: vector<5x1x4x1x20xf32>, %acc: vector<5x4x20xf32>) -> vector<5x4x20xf32> {
-//       CHECK:   %[[CAST:.+]] = vector.shape_cast  %[[SOURCE]] : vector<5x1x4x1x20xf32> to vector<5x4x20xf32>
-//       CHECK:   %[[RESULT:.+]] = arith.mulf  %[[ACC]], %[[CAST]] : vector<5x4x20xf32>
-    %0 = vector.multi_reduction <mul>, %source, %acc [1, 3] : vector<5x1x4x1x20xf32> to vector<5x4x20xf32>
-
-//       CHECK:     return %[[RESULT]] : vector<5x4x20xf32>
-    return %0 : vector<5x4x20xf32>
-}
-
-// -----
-
-// CHECK-LABEL: func @vector_multi_reduction_unit_dimensions_fail(
-//  CHECK-SAME: %[[SRC:.+]]: vector<5x1x4x1x20xf32>, %[[ACCUM:.+]]: vector<5x1x1x20xf32>
-func.func @vector_multi_reduction_unit_dimensions_fail(%source: vector<5x1x4x1x20xf32>, %acc: vector<5x1x1x20xf32>) -> vector<5x1x1x20xf32> {
-//       CHECK:   %[[RES:.+]] = vector.multi_reduction  <mul>, %[[SRC]], %[[ACCUM]] [2] : vector<5x1x4x1x20xf32> to vector<5x1x1x20xf32>
-    %0 = vector.multi_reduction <mul>, %source, %acc [2] : vector<5x1x4x1x20xf32> to vector<5x1x1x20xf32>
-
-//       CHECK:     return %[[RES]] : vector<5x1x1x20xf32>
-    return %0 : vector<5x1x1x20xf32>
-}
-
-// -----
-
 // CHECK-LABEL: func @insert_strided_slice_full_range
 //  CHECK-SAME: %[[SOURCE:.+]]: vector<16x16xf16>, %{{.+}}: vector<16x16xf16>
 func.func @insert_strided_slice_full_range(%source: vector<16x16xf16>, %dest: vector<16x16xf16>) -> vector<16x16xf16> {


        


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