aboutsummaryrefslogtreecommitdiff
path: root/mlir
diff options
context:
space:
mode:
authorCrefeda Rodrigues <65665931+cfRod@users.noreply.github.com>2024-03-22 10:08:03 +0000
committerGitHub <noreply@github.com>2024-03-22 10:08:03 +0000
commit465ea0bfa69aa48afef58666b084467a1c96c81b (patch)
treed8d30be0cd5e83ddc22c42c0355724584bfd9f3e /mlir
parent99d8c25b3104fc07f46532bd681515c5f3c71133 (diff)
downloadllvm-465ea0bfa69aa48afef58666b084467a1c96c81b.zip
llvm-465ea0bfa69aa48afef58666b084467a1c96c81b.tar.gz
llvm-465ea0bfa69aa48afef58666b084467a1c96c81b.tar.bz2
[mlir][vector] Propagate scalability in TransferWriteNonPermutationLowering (#85632)
Updates `extendVectorRank` so that scalability in patterns that use it (in particular, `TransferWriteNonPermutationLowering`), is correctly propagated. Closed related previous PR https://github.com/llvm/llvm-project/pull/85270 --------- Signed-off-by: Crefeda Rodrigues <crefeda.rodrigues@arm.com> Co-authored-by: Benjamin Maxwell <macdue@dueutil.tech>
Diffstat (limited to 'mlir')
-rw-r--r--mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp8
-rw-r--r--mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir18
2 files changed, 24 insertions, 2 deletions
diff --git a/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp b/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
index 4a5e8fc..0693aa5 100644
--- a/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
+++ b/mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
@@ -41,8 +41,12 @@ static Value extendVectorRank(OpBuilder &builder, Location loc, Value vec,
SmallVector<int64_t> newShape(addedRank, 1);
newShape.append(originalVecType.getShape().begin(),
originalVecType.getShape().end());
- VectorType newVecType =
- VectorType::get(newShape, originalVecType.getElementType());
+
+ SmallVector<bool> newScalableDims(addedRank, false);
+ newScalableDims.append(originalVecType.getScalableDims().begin(),
+ originalVecType.getScalableDims().end());
+ VectorType newVecType = VectorType::get(
+ newShape, originalVecType.getElementType(), newScalableDims);
return builder.create<vector::BroadcastOp>(loc, newVecType, vec);
}
diff --git a/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir b/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
index 13e07f5..31bd19c 100644
--- a/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
+++ b/mlir/test/Dialect/Vector/vector-transfer-permutation-lowering.mlir
@@ -41,6 +41,24 @@ func.func @permutation_with_mask_scalable(%2: memref<?x?xf32>, %dim_1: index, %d
return %1 : vector<8x[4]x2xf32>
}
+// CHECK: func.func @permutation_with_mask_transfer_write_scalable(
+// CHECK-SAME: %[[ARG_0:.*]]: vector<4x[8]xi16>,
+// CHECK-SAME: %[[ARG_1:.*]]: memref<1x4x?x1x1x1x1xi16>,
+// CHECK-SAME: %[[MASK:.*]]: vector<4x[8]xi1>) {
+// CHECK: %[[C0:.*]] = arith.constant 0 : index
+// CHECK: %[[BCAST_1:.*]] = vector.broadcast %[[ARG_0]] : vector<4x[8]xi16> to vector<1x1x1x1x4x[8]xi16>
+// CHECK: %[[BCAST_2:.*]] = vector.broadcast %[[MASK]] : vector<4x[8]xi1> to vector<1x1x1x1x4x[8]xi1>
+// CHECK: %[[TRANSPOSE_1:.*]] = vector.transpose %[[BCAST_2]], [4, 5, 0, 1, 2, 3] : vector<1x1x1x1x4x[8]xi1> to vector<4x[8]x1x1x1x1xi1>
+// CHECK: %[[TRANSPOSE_2:.*]] = vector.transpose %[[BCAST_1]], [4, 5, 0, 1, 2, 3] : vector<1x1x1x1x4x[8]xi16> to vector<4x[8]x1x1x1x1xi16>
+// CHECK: vector.transfer_write %[[TRANSPOSE_2]], %[[ARG_1]]{{\[}}%[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]], %[[C0]]], %[[TRANSPOSE_1]] {in_bounds = [true, true, true, true, true, true]} : vector<4x[8]x1x1x1x1xi16>, memref<1x4x?x1x1x1x1xi16>
+// CHECK: return
+func.func @permutation_with_mask_transfer_write_scalable(%arg0: vector<4x[8]xi16>, %arg1: memref<1x4x?x1x1x1x1xi16>, %mask: vector<4x[8]xi1>){
+ %c0 = arith.constant 0 : index
+ vector.transfer_write %arg0, %arg1[%c0, %c0, %c0, %c0, %c0, %c0, %c0], %mask {in_bounds = [true, true], permutation_map = affine_map<(d0, d1, d2, d3, d4, d5, d6) -> (d1, d2)>
+} : vector<4x[8]xi16>, memref<1x4x?x1x1x1x1xi16>
+
+ return
+}
module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%module_op: !transform.any_op {transform.readonly}) {
%f = transform.structured.match ops{["func.func"]} in %module_op