[mlir] Fix VectorType clone with shape of a different rank

[AndreyPavlenko]

If the new shape has a different number of dims, VectorType::verify() fail with error: 'number of dims must match'.

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Author: Andrey Pavlenko (AndreyPavlenko)

Changes

If the new shape has a different number of dims, VectorType::verify() fail with error: 'number of dims must match'.

---

Full diff: https://github.com/llvm/llvm-project/pull/173007.diff

1 Files Affected:

• (modified) mlir/lib/IR/BuiltinTypes.cpp (+4-2)

diff --git a/mlir/lib/IR/BuiltinTypes.cpp b/mlir/lib/IR/BuiltinTypes.cpp
index ce47c60c9b932..280ab437c1bd5 100644
--- a/mlir/lib/IR/BuiltinTypes.cpp
+++ b/mlir/lib/IR/BuiltinTypes.cpp
@@ -285,8 +285,10 @@ VectorType VectorType::scaleElementBitwidth(unsigned scale) {
 
 VectorType VectorType::cloneWith(std::optional<ArrayRef<int64_t>> shape,
                                  Type elementType) const {
-  return VectorType::get(shape.value_or(getShape()), elementType,
-                         getScalableDims());
+  auto shapeVal = shape.value_or(getShape());
+  SmallVector<bool> scalableDims(getScalableDims());
+  scalableDims.resize(shapeVal.size(), false);
+  return VectorType::get(shapeVal, elementType, scalableDims);
 }
 
 //===----------------------------------------------------------------------===//