[Mlir-commits] [mlir] 3974ecb - [mlir][affine] SuperVectorizer only widen ops with valid types
Joshua Cao
llvmlistbot at llvm.org
Wed Apr 12 22:00:29 PDT 2023
Author: Joshua Cao
Date: 2023-04-12T21:59:15-07:00
New Revision: 3974ecb7ec05ce63e8075b7bc8de921dd135823a
URL: https://github.com/llvm/llvm-project/commit/3974ecb7ec05ce63e8075b7bc8de921dd135823a
DIFF: https://github.com/llvm/llvm-project/commit/3974ecb7ec05ce63e8075b7bc8de921dd135823a.diff
LOG: [mlir][affine] SuperVectorizer only widen ops with valid types
fixes https://github.com/llvm/llvm-project/issues/61309
Differential Revision: https://reviews.llvm.org/D147679
Added:
mlir/test/Dialect/Affine/SuperVectorize/invalid_type.mlir
Modified:
mlir/lib/Dialect/Affine/Analysis/LoopAnalysis.cpp
Removed:
################################################################################
diff --git a/mlir/lib/Dialect/Affine/Analysis/LoopAnalysis.cpp b/mlir/lib/Dialect/Affine/Analysis/LoopAnalysis.cpp
index 81d06552aaef2..6b028b7691ddd 100644
--- a/mlir/lib/Dialect/Affine/Analysis/LoopAnalysis.cpp
+++ b/mlir/lib/Dialect/Affine/Analysis/LoopAnalysis.cpp
@@ -279,6 +279,25 @@ isVectorizableLoopBodyWithOpCond(AffineForOp loop,
return false;
}
+ // No vectorization for ops with operand or result types that are not
+ // vectorizable.
+ auto types = matcher::Op([](Operation &op) -> bool {
+ if (llvm::any_of(op.getOperandTypes(), [](Type type) {
+ if (MemRefType t = dyn_cast<MemRefType>(type))
+ return !VectorType::isValidElementType(t.getElementType());
+ return !VectorType::isValidElementType(type);
+ }))
+ return true;
+ return llvm::any_of(op.getResultTypes(), [](Type type) {
+ return !VectorType::isValidElementType(type);
+ });
+ });
+ SmallVector<NestedMatch, 8> opsMatched;
+ types.match(forOp, &opsMatched);
+ if (!opsMatched.empty()) {
+ return false;
+ }
+
// No vectorization across unknown regions.
auto regions = matcher::Op([](Operation &op) -> bool {
return op.getNumRegions() != 0 && !isa<AffineIfOp, AffineForOp>(op);
diff --git a/mlir/test/Dialect/Affine/SuperVectorize/invalid_type.mlir b/mlir/test/Dialect/Affine/SuperVectorize/invalid_type.mlir
new file mode 100644
index 0000000000000..65df957a1d406
--- /dev/null
+++ b/mlir/test/Dialect/Affine/SuperVectorize/invalid_type.mlir
@@ -0,0 +1,31 @@
+// RUN: mlir-opt %s -affine-super-vectorize="virtual-vector-size=128" -split-input-file | FileCheck %s
+
+// CHECK-LABEL: func @invalid_operand
+func.func @invalid_operand(%a : vector<4xf32>, %b : vector<4xf32>) {
+// CHECK: affine.for %{{.*}} = 0 to 10
+// CHECK: %{{.*}} = vector.reduction <add>, %{{.*}} : vector<4xf32> into f32
+// CHECK: }
+// CHECK: return
+ affine.for %j = 0 to 10 {
+ %1 = vector.reduction <add>, %a : vector<4xf32> into f32
+ }
+ return
+}
+
+// CHECK-LABEL: func @invalid_result
+func.func @invalid_result(%a : memref<10x20xf32>, %b : memref<10x20xf32>) {
+// CHECK: affine.for %{{.*}} = 0 to 10
+// CHECK: affine.for %{{.*}} = 0 to 5
+// CHECK: %{{.*}} = affine.vector_load %{{.*}}[%{{.*}}, %{{.*}}] : memref<10x20xf32>, vector<4xf32>
+// CHECK: affine.vector_store %{{.*}}, %{{.*}}[%{{.*}}, %{{.*}}] : memref<10x20xf32>, vector<4xf32>
+// CHECK: }
+// CHECK: }
+// CHECK: return
+ affine.for %j = 0 to 10 {
+ affine.for %i = 0 to 5 {
+ %ld0 = affine.vector_load %a[%j, %i] : memref<10x20xf32>, vector<4xf32>
+ affine.vector_store %ld0, %b[%j, %i] : memref<10x20xf32>, vector<4xf32>
+ }
+ }
+ return
+}
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