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-rw-r--r--mlir/lib/Dialect/Tensor/IR/TensorOps.cpp10
-rw-r--r--mlir/test/Dialect/Tensor/canonicalize.mlir15
2 files changed, 5 insertions, 20 deletions
diff --git a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
index 49cfec6..edddfb8 100644
--- a/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
+++ b/mlir/lib/Dialect/Tensor/IR/TensorOps.cpp
@@ -1417,11 +1417,11 @@ struct InsertSliceOpSourceCastInserter final
return failure();
SmallVector<int64_t> newSrcShape(srcType.getShape().begin(),
srcType.getShape().end());
- // Offsets / sizes / strides can be a subprefix of the rank; take only the
- // leading dimensions.
- for (auto en : llvm::enumerate(insertSliceOp.getMixedSizes()))
- if (Optional<int64_t> constInt = getConstantIntValue(en.value()))
- newSrcShape[en.index()] = *constInt;
+ for (int64_t i = 0; i < srcType.getRank(); ++i) {
+ if (Optional<int64_t> constInt =
+ getConstantIntValue(insertSliceOp.getMixedSizes()[i]))
+ newSrcShape[i] = *constInt;
+ }
RankedTensorType newSrcType =
RankedTensorType::get(newSrcShape, srcType.getElementType());
diff --git a/mlir/test/Dialect/Tensor/canonicalize.mlir b/mlir/test/Dialect/Tensor/canonicalize.mlir
index 50fda25..fc9abe4 100644
--- a/mlir/test/Dialect/Tensor/canonicalize.mlir
+++ b/mlir/test/Dialect/Tensor/canonicalize.mlir
@@ -536,21 +536,6 @@ func @insert_tensor_cast_on_insert_slice_src(
// -----
-// CHECK-LABEL: func @insert_tensor_cast_on_insert_slice_src_prefix(
-// CHECK-SAME: %[[arg0:.*]]: tensor<?x5x?xf32>, %[[arg1:.*]]: tensor<?x?x?xf32>
-// CHECK: %[[cast:.*]] = tensor.cast %[[arg0]] : tensor<?x5x?xf32> to tensor<64x5x?xf32>
-// CHECK: %[[r:.*]] = tensor.insert_slice %[[cast]] into %[[arg1]][0, 1] [64, 5] [1, 1] : tensor<64x5x?xf32> into tensor<?x?x?xf32>
-// CHECK: return %[[r]]
-func @insert_tensor_cast_on_insert_slice_src_prefix(
- %arg0 : tensor<?x5x?xf32>, %arg1 : tensor<?x?x?xf32>, %sz0: index, %sz2: index) -> tensor<?x?x?xf32> {
- %c64 = arith.constant 64: index
- %r = tensor.insert_slice %arg0 into %arg1[0, 1] [%c64, 5] [1, 1]
- : tensor<?x5x?xf32> into tensor<?x?x?xf32>
- return %r : tensor<?x?x?xf32>
-}
-
-// -----
-
// CHECK-LABEL: func @fold_extract_insert
// CHECK-SAME: %{{.+}}: tensor<?x?x?xf32>, %[[SLICE:.+]]: tensor<4x?x8xf32>
func @fold_extract_insert(%input : tensor<?x?x?xf32>, %slice: tensor<4x?x8xf32>, %i: index, %size: index) -> (tensor<4x?x8xf32>) {