[Mlir-commits] [mlir] [mlir][vector] transpose(broadcast) -> broadcast canonicalization (PR #135096)
James Newling
llvmlistbot at llvm.org
Fri Apr 11 13:40:31 PDT 2025
https://github.com/newling updated https://github.com/llvm/llvm-project/pull/135096
>From 2498d7d11a3da7c8cdca6646fa6f23cd24053e50 Mon Sep 17 00:00:00 2001
From: James Newling <james.newling at gmail.com>
Date: Thu, 10 Apr 2025 13:51:54 -0700
Subject: [PATCH 1/3] transpose(broadcast) -> broadcast folder (squashed)
---
mlir/lib/Dialect/Vector/IR/VectorOps.cpp | 97 ++++++++++++++++-
.../Vector/canonicalize/vector-transpose.mlir | 102 ++++++++++++++++++
2 files changed, 198 insertions(+), 1 deletion(-)
create mode 100644 mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
diff --git a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
index 754dab21ee1f3..4ecf65153a167 100644
--- a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
+++ b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
@@ -6151,12 +6151,107 @@ class FoldTransposeCreateMask final : public OpRewritePattern<TransposeOp> {
}
};
+/// Folds transpose(broadcast(x)) to broadcast(x) if the transpose is
+/// 'order preserving', where 'order preserving' means the flattened
+/// inputs and outputs of the transpose have identical (numerical) values.
+///
+/// Example:
+/// ```
+/// %0 = vector.broadcast %input : vector<1x1xi32> to vector<1x8xi32>
+/// %1 = vector.transpose %0, [1, 0] : vector<1x8xi32>
+/// to vector<8x1xi32>
+/// ```
+/// can be rewritten as the equivalent
+/// ```
+/// %0 = vector.broadcast %input : vector<1x1xi32> to vector<8x1xi32>.
+/// ```
+/// The algorithm works by partitioning dimensions into groups that can be
+/// locally permuted while preserving order, and checks that the transpose
+/// only permutes within these groups.
+///
+/// Groups are either contiguous sequences of 1s, or non-1s (1-element groups).
+/// Consider broadcasting 4x1x1x7 to 2x3x4x5x6x7. This is equivalent to
+/// broadcasting from 1x1x4x1x1x7.
+/// ^^^ ^ ^^^ ^
+/// groups: 0 1 2 3
+/// Order preserving permutations for this example are ones that only permute
+/// within the groups [0,1] and [3,4], like (1 0 2 4 3 5 6).
+class FoldTransposeBroadcast : public OpRewritePattern<vector::TransposeOp> {
+public:
+ using OpRewritePattern::OpRewritePattern;
+ FoldTransposeBroadcast(MLIRContext *context, PatternBenefit benefit = 1)
+ : OpRewritePattern<vector::TransposeOp>(context, benefit) {}
+
+ LogicalResult matchAndRewrite(vector::TransposeOp transpose,
+ PatternRewriter &rewriter) const override {
+
+ vector::BroadcastOp broadcast =
+ transpose.getVector().getDefiningOp<vector::BroadcastOp>();
+ if (!broadcast) {
+ return rewriter.notifyMatchFailure(transpose,
+ "not preceded by a broadcast");
+ }
+
+ auto inputType = dyn_cast<VectorType>(broadcast.getSourceType());
+
+ // transpose(broadcast(scalar)) -> broadcast(scalar) is always valid, and
+ // transpose(broadcast(all ones)) -> broadcast(all ones) is always valid
+ bool inputIsScalar = !inputType;
+ bool inputIsSizeOneVector = inputType.getNumElements() == 1;
+ if (inputIsScalar || inputIsSizeOneVector) {
+ rewriter.replaceOpWithNewOp<vector::BroadcastOp>(
+ transpose, transpose.getResultVectorType(), transpose.getVector());
+ return success();
+ }
+
+ ArrayRef<int64_t> permutation = transpose.getPermutation();
+ ArrayRef<int64_t> inputShape = inputType.getShape();
+ int64_t inputRank = inputType.getRank();
+ int64_t outputRank = transpose.getType().getRank();
+ int64_t deltaRank = outputRank - inputRank;
+
+ int low = 0;
+ for (int inputIndex = 0; inputIndex < inputRank; ++inputIndex) {
+ bool notOne = inputShape[inputIndex] != 1;
+ bool prevNotOne = (inputIndex != 0 && inputShape[inputIndex - 1] != 1);
+ bool groupEndFound = notOne || prevNotOne;
+ if (groupEndFound) {
+ // Return failure if all not permutation destinations for indices in
+ // [low, high) are in [low, high), i.e. the permutation is not local to
+ // the group.
+ int high = inputIndex + deltaRank;
+ for (int i = low; i < high; ++i) {
+ if (permutation[i] < low || permutation[i] >= high) {
+ return rewriter.notifyMatchFailure(
+ transpose, "permutation not local to group");
+ }
+ }
+ }
+ }
+
+ // We don't need to check the final group [low, outputRank) because
+ // if it is not locally bound, there must be a preceding group that
+ // already failed the check (impossible to have just 1 non-locally
+ // bound group).
+
+ // The preceding logic also ensures that at this point, the output of the
+ // transpose is definitely broadcastable from the input shape, so we
+ // don't need to check vector::isBroadcastableTo now.
+
+ rewriter.replaceOpWithNewOp<vector::BroadcastOp>(
+ transpose, transpose.getResultVectorType(), transpose.getVector());
+
+ return success();
+ }
+};
+
} // namespace
void vector::TransposeOp::getCanonicalizationPatterns(
RewritePatternSet &results, MLIRContext *context) {
results.add<FoldTransposeCreateMask, FoldTransposedScalarBroadcast,
- TransposeFolder, FoldTransposeSplat>(context);
+ TransposeFolder, FoldTransposeSplat, FoldTransposeBroadcast>(
+ context);
}
//===----------------------------------------------------------------------===//
diff --git a/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir b/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
new file mode 100644
index 0000000000000..87aad69d62508
--- /dev/null
+++ b/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
@@ -0,0 +1,102 @@
+// RUN: mlir-opt %s -canonicalize="test-convergence" -split-input-file -allow-unregistered-dialect | FileCheck %s
+
+// This file contains some canonicalizations tests involving vector.transpose.
+
+// CHECK-LABEL: scalar_broadcast_transpose_to_broadcast
+// CHECK-SAME: %[[ARG:.*]]: i8) -> vector<2x3x4xi8> {
+func.func @scalar_broadcast_transpose_to_broadcast(%arg0 : i8) -> vector<2x3x4xi8> {
+// CHECK: %[[BC:.*]] = vector.broadcast %[[ARG]] : i8 to vector<2x3x4xi8>
+ %0 = vector.broadcast %arg0 : i8 to vector<3x4x2xi8>
+ %1 = vector.transpose %0, [2, 0, 1] : vector<3x4x2xi8> to vector<2x3x4xi8>
+// CHECK: return %[[BC]] : vector<2x3x4xi8>
+ return %1 : vector<2x3x4xi8>
+}
+
+// -----
+
+// CHECK-LABEL: ones_broadcast_transpose_to_broadcast
+// CHECK-SAME: %[[ARG:.*]]: vector<1x1x1xi8>) -> vector<2x3x4xi8> {
+// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<1x1x1xi8> to vector<2x3x4xi8>
+// CHECK: return %[[RES]] : vector<2x3x4xi8>
+func.func @ones_broadcast_transpose_to_broadcast(%arg0 : vector<1x1x1xi8>) -> vector<2x3x4xi8> {
+ %0 = vector.broadcast %arg0 : vector<1x1x1xi8> to vector<3x4x2xi8>
+ %1 = vector.transpose %0, [2, 0, 1] : vector<3x4x2xi8> to vector<2x3x4xi8>
+ return %1 : vector<2x3x4xi8>
+}
+
+// -----
+
+// CHECK-LABEL: partial_ones_broadcast_transpose_to_broadcast
+// CHECK-SAME: %[[ARG:.*]]: vector<1xi8>) -> vector<8x1xi8> {
+// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<1xi8> to vector<8x1xi8>
+// CHECK: return %[[RES]] : vector<8x1xi8>
+func.func @partial_ones_broadcast_transpose_to_broadcast(%arg0 : vector<1xi8>) -> vector<8x1xi8> {
+ %0 = vector.broadcast %arg0 : vector<1xi8> to vector<1x8xi8>
+ %1 = vector.transpose %0, [1, 0] : vector<1x8xi8> to vector<8x1xi8>
+ return %1 : vector<8x1xi8>
+}
+
+// -----
+
+// CHECK-LABEL: broadcast_transpose_mixed_example
+// CHECK-SAME: %[[ARG:.*]]: vector<4x1x1x7xi8>) -> vector<3x2x4x5x6x7xi8> {
+// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<4x1x1x7xi8> to vector<3x2x4x5x6x7xi8>
+// CHECK: return %[[RES]] : vector<3x2x4x5x6x7xi8>
+func.func @broadcast_transpose_mixed_example(%arg0 : vector<4x1x1x7xi8>) -> vector<3x2x4x5x6x7xi8> {
+ %0 = vector.broadcast %arg0 : vector<4x1x1x7xi8> to vector<2x3x4x5x6x7xi8>
+ %1 = vector.transpose %0, [1, 0, 2, 3, 4, 5] : vector<2x3x4x5x6x7xi8> to vector<3x2x4x5x6x7xi8>
+ return %1 : vector<3x2x4x5x6x7xi8>
+}
+
+// -----
+
+// CHECK-LABEL: negative_broadcast_transpose_square
+// CHECK-SAME: %[[ARG:.*]]:
+// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
+// CHECK: %[[TRP:.*]] = vector.transpose %[[BCT]], [1, 0]
+// CHECK: return %[[TRP]] : vector<4x4xi8>
+func.func @negative_broadcast_transpose_square(%arg0 : vector<4x1xi8>) -> vector<4x4xi8> {
+ %0 = vector.broadcast %arg0 : vector<4x1xi8> to vector<4x4xi8>
+ %1 = vector.transpose %0, [1, 0] : vector<4x4xi8> to vector<4x4xi8>
+ return %1 : vector<4x4xi8>
+}
+
+// -----
+
+// CHECK-LABEL: negative_broadcast_transpose_hypercube
+// CHECK-SAME: %[[ARG:.*]]:
+// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
+// CHECK: %[[TRP:.*]] = vector.transpose %[[BCT]], [1, 0, 3, 2]
+// CHECK: return %[[TRP]] : vector<4x4x4x4xi8>
+func.func @negative_broadcast_transpose_hypercube(%arg0 : vector<1x1x4xi8>) -> vector<4x4x4x4xi8> {
+ %0 = vector.broadcast %arg0 : vector<1x1x4xi8> to vector<4x4x4x4xi8>
+ %1 = vector.transpose %0, [1, 0, 3, 2] : vector<4x4x4x4xi8> to vector<4x4x4x4xi8>
+ return %1 : vector<4x4x4x4xi8>
+}
+
+// -----
+
+// CHECK-LABEL: negative_broadcast_transpose_102
+// CHECK-SAME: %[[ARG:.*]]:
+// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
+// CHECK: %[[TRP:.*]] = vector.transpose %[[BCT]], [1, 0, 2]
+// CHECK: return %[[TRP]] : vector<3x3x3xi8>
+func.func @negative_broadcast_transpose_102(%arg0 : vector<3x1x3xi8>) -> vector<3x3x3xi8> {
+ %0 = vector.broadcast %arg0 : vector<3x1x3xi8> to vector<3x3x3xi8>
+ %1 = vector.transpose %0, [1, 0, 2] : vector<3x3x3xi8> to vector<3x3x3xi8>
+ return %1 : vector<3x3x3xi8>
+}
+
+// -----
+
+// CHECK-LABEL: negative_broadcast_transpose_021
+// CHECK-SAME: %[[ARG:.*]]:
+// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
+// CHECK: %[[TRP:.*]] = vector.transpose %[[BCT]], [0, 2, 1]
+// CHECK: return %[[TRP]] : vector<3x3x3xi8>
+func.func @neagtive_broadcast_transpose_021(%arg0 : vector<3x1x3xi8>) -> vector<3x3x3xi8> {
+ %0 = vector.broadcast %arg0 : vector<3x1x3xi8> to vector<3x3x3xi8>
+ %1 = vector.transpose %0, [0, 2, 1] : vector<3x3x3xi8> to vector<3x3x3xi8>
+ return %1 : vector<3x3x3xi8>
+}
+
>From d3fe38a6f972ae9c6e5793b92c45855fba07f930 Mon Sep 17 00:00:00 2001
From: James Newling <james.newling at gmail.com>
Date: Fri, 11 Apr 2025 11:13:47 -0700
Subject: [PATCH 2/3] simplify and add one test
---
mlir/lib/Dialect/Vector/IR/VectorOps.cpp | 15 +++++------
.../Vector/canonicalize/vector-transpose.mlir | 26 ++++++++++++++-----
2 files changed, 26 insertions(+), 15 deletions(-)
diff --git a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
index 4ecf65153a167..93ea5ba860324 100644
--- a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
+++ b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
@@ -6216,10 +6216,10 @@ class FoldTransposeBroadcast : public OpRewritePattern<vector::TransposeOp> {
bool prevNotOne = (inputIndex != 0 && inputShape[inputIndex - 1] != 1);
bool groupEndFound = notOne || prevNotOne;
if (groupEndFound) {
- // Return failure if all not permutation destinations for indices in
+ int high = inputIndex + deltaRank;
+ // Return failure if not all permutation destinations for indices in
// [low, high) are in [low, high), i.e. the permutation is not local to
// the group.
- int high = inputIndex + deltaRank;
for (int i = low; i < high; ++i) {
if (permutation[i] < low || permutation[i] >= high) {
return rewriter.notifyMatchFailure(
@@ -6229,14 +6229,13 @@ class FoldTransposeBroadcast : public OpRewritePattern<vector::TransposeOp> {
}
}
- // We don't need to check the final group [low, outputRank) because
- // if it is not locally bound, there must be a preceding group that
- // already failed the check (impossible to have just 1 non-locally
- // bound group).
+ // We don't need to check the final group [low, outputRank) because if it is
+ // not locally bound, there must be a preceding group that already failed
+ // the check (impossible to have just 1 non-locally bound group).
// The preceding logic also ensures that at this point, the output of the
- // transpose is definitely broadcastable from the input shape, so we
- // don't need to check vector::isBroadcastableTo now.
+ // transpose is definitely broadcastable from the input shape, so we don't
+ // need to check vector::isBroadcastableTo now.
rewriter.replaceOpWithNewOp<vector::BroadcastOp>(
transpose, transpose.getResultVectorType(), transpose.getVector());
diff --git a/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir b/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
index 87aad69d62508..28ce34b6ec9cd 100644
--- a/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
+++ b/mlir/test/Dialect/Vector/canonicalize/vector-transpose.mlir
@@ -2,9 +2,9 @@
// This file contains some canonicalizations tests involving vector.transpose.
-// CHECK-LABEL: scalar_broadcast_transpose_to_broadcast
+// CHECK-LABEL: broadcast_transpose_scalar_to_broadcast
// CHECK-SAME: %[[ARG:.*]]: i8) -> vector<2x3x4xi8> {
-func.func @scalar_broadcast_transpose_to_broadcast(%arg0 : i8) -> vector<2x3x4xi8> {
+func.func @broadcast_transpose_scalar_to_broadcast(%arg0 : i8) -> vector<2x3x4xi8> {
// CHECK: %[[BC:.*]] = vector.broadcast %[[ARG]] : i8 to vector<2x3x4xi8>
%0 = vector.broadcast %arg0 : i8 to vector<3x4x2xi8>
%1 = vector.transpose %0, [2, 0, 1] : vector<3x4x2xi8> to vector<2x3x4xi8>
@@ -14,11 +14,11 @@ func.func @scalar_broadcast_transpose_to_broadcast(%arg0 : i8) -> vector<2x3x4xi
// -----
-// CHECK-LABEL: ones_broadcast_transpose_to_broadcast
+// CHECK-LABEL: broadcast_transpose_ones_to_broadcast
// CHECK-SAME: %[[ARG:.*]]: vector<1x1x1xi8>) -> vector<2x3x4xi8> {
// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<1x1x1xi8> to vector<2x3x4xi8>
// CHECK: return %[[RES]] : vector<2x3x4xi8>
-func.func @ones_broadcast_transpose_to_broadcast(%arg0 : vector<1x1x1xi8>) -> vector<2x3x4xi8> {
+func.func @broadcast_transpose_ones_to_broadcast(%arg0 : vector<1x1x1xi8>) -> vector<2x3x4xi8> {
%0 = vector.broadcast %arg0 : vector<1x1x1xi8> to vector<3x4x2xi8>
%1 = vector.transpose %0, [2, 0, 1] : vector<3x4x2xi8> to vector<2x3x4xi8>
return %1 : vector<2x3x4xi8>
@@ -26,11 +26,11 @@ func.func @ones_broadcast_transpose_to_broadcast(%arg0 : vector<1x1x1xi8>) -> ve
// -----
-// CHECK-LABEL: partial_ones_broadcast_transpose_to_broadcast
+// CHECK-LABEL: broadcast_transpose_partial_ones_to_broadcast
// CHECK-SAME: %[[ARG:.*]]: vector<1xi8>) -> vector<8x1xi8> {
// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<1xi8> to vector<8x1xi8>
// CHECK: return %[[RES]] : vector<8x1xi8>
-func.func @partial_ones_broadcast_transpose_to_broadcast(%arg0 : vector<1xi8>) -> vector<8x1xi8> {
+func.func @broadcast_transpose_partial_ones_to_broadcast(%arg0 : vector<1xi8>) -> vector<8x1xi8> {
%0 = vector.broadcast %arg0 : vector<1xi8> to vector<1x8xi8>
%1 = vector.transpose %0, [1, 0] : vector<1x8xi8> to vector<8x1xi8>
return %1 : vector<8x1xi8>
@@ -50,6 +50,18 @@ func.func @broadcast_transpose_mixed_example(%arg0 : vector<4x1x1x7xi8>) -> vect
// -----
+// CHECK-LABEL: broadcast_transpose_final_group
+// CHECK-SAME: %[[ARG:.*]]: vector<4x7x1x1xi8>) -> vector<4x7x2x3xi8> {
+// CHECK: %[[RES:.*]] = vector.broadcast %[[ARG]] : vector<4x7x1x1xi8> to vector<4x7x2x3xi8>
+// CHECK: return %[[RES]] : vector<4x7x2x3xi8>
+func.func @broadcast_transpose_final_group(%arg0 : vector<4x7x1x1xi8>) -> vector<4x7x2x3xi8> {
+ %0 = vector.broadcast %arg0 : vector<4x7x1x1xi8> to vector<4x7x3x2xi8>
+ %1 = vector.transpose %0, [0, 1, 3, 2] : vector<4x7x3x2xi8> to vector<4x7x2x3xi8>
+ return %1 : vector<4x7x2x3xi8>
+}
+
+// -----
+
// CHECK-LABEL: negative_broadcast_transpose_square
// CHECK-SAME: %[[ARG:.*]]:
// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
@@ -94,7 +106,7 @@ func.func @negative_broadcast_transpose_102(%arg0 : vector<3x1x3xi8>) -> vector<
// CHECK: %[[BCT:.*]] = vector.broadcast %[[ARG]]
// CHECK: %[[TRP:.*]] = vector.transpose %[[BCT]], [0, 2, 1]
// CHECK: return %[[TRP]] : vector<3x3x3xi8>
-func.func @neagtive_broadcast_transpose_021(%arg0 : vector<3x1x3xi8>) -> vector<3x3x3xi8> {
+func.func @negative_broadcast_transpose_021(%arg0 : vector<3x1x3xi8>) -> vector<3x3x3xi8> {
%0 = vector.broadcast %arg0 : vector<3x1x3xi8> to vector<3x3x3xi8>
%1 = vector.transpose %0, [0, 2, 1] : vector<3x3x3xi8> to vector<3x3x3xi8>
return %1 : vector<3x3x3xi8>
>From af69672e2dd85265ad311665b51844992659924a Mon Sep 17 00:00:00 2001
From: James Newling <james.newling at gmail.com>
Date: Fri, 11 Apr 2025 13:45:13 -0700
Subject: [PATCH 3/3] remove subsumed pattern, remove edge case check for
nelms=1 (not needed)
---
mlir/lib/Dialect/Vector/IR/VectorOps.cpp | 33 +++---------------------
1 file changed, 4 insertions(+), 29 deletions(-)
diff --git a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
index 93ea5ba860324..1fb02a49516ff 100644
--- a/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
+++ b/mlir/lib/Dialect/Vector/IR/VectorOps.cpp
@@ -6075,28 +6075,6 @@ class TransposeFolder final : public OpRewritePattern<vector::TransposeOp> {
}
};
-// Folds transpose(broadcast(<scalar>)) into broadcast(<scalar>).
-struct FoldTransposedScalarBroadcast final
- : public OpRewritePattern<vector::TransposeOp> {
- using OpRewritePattern::OpRewritePattern;
-
- LogicalResult matchAndRewrite(vector::TransposeOp transposeOp,
- PatternRewriter &rewriter) const override {
- auto bcastOp = transposeOp.getVector().getDefiningOp<vector::BroadcastOp>();
- if (!bcastOp)
- return failure();
-
- auto srcVectorType = llvm::dyn_cast<VectorType>(bcastOp.getSourceType());
- if (!srcVectorType || srcVectorType.getNumElements() == 1) {
- rewriter.replaceOpWithNewOp<vector::BroadcastOp>(
- transposeOp, transposeOp.getResultVectorType(), bcastOp.getSource());
- return success();
- }
-
- return failure();
- }
-};
-
// Folds transpose(splat x : src_type) : res_type into splat x : res_type.
class FoldTransposeSplat final : public OpRewritePattern<TransposeOp> {
public:
@@ -6194,11 +6172,9 @@ class FoldTransposeBroadcast : public OpRewritePattern<vector::TransposeOp> {
auto inputType = dyn_cast<VectorType>(broadcast.getSourceType());
- // transpose(broadcast(scalar)) -> broadcast(scalar) is always valid, and
- // transpose(broadcast(all ones)) -> broadcast(all ones) is always valid
+ // transpose(broadcast(scalar)) -> broadcast(scalar) is always valid
bool inputIsScalar = !inputType;
- bool inputIsSizeOneVector = inputType.getNumElements() == 1;
- if (inputIsScalar || inputIsSizeOneVector) {
+ if (inputIsScalar) {
rewriter.replaceOpWithNewOp<vector::BroadcastOp>(
transpose, transpose.getResultVectorType(), transpose.getVector());
return success();
@@ -6248,9 +6224,8 @@ class FoldTransposeBroadcast : public OpRewritePattern<vector::TransposeOp> {
void vector::TransposeOp::getCanonicalizationPatterns(
RewritePatternSet &results, MLIRContext *context) {
- results.add<FoldTransposeCreateMask, FoldTransposedScalarBroadcast,
- TransposeFolder, FoldTransposeSplat, FoldTransposeBroadcast>(
- context);
+ results.add<FoldTransposeCreateMask, TransposeFolder, FoldTransposeSplat,
+ FoldTransposeBroadcast>(context);
}
//===----------------------------------------------------------------------===//
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