[MLIR][NFC] fix RankedTensorType doc comment

Ranked tensor types can have shape dimension size 0 Signed-off-by: Uday Bondhugula <uday@polymagelabs.com> Differential Revision: https://reviews.llvm.org/D76405
llvm · Mar 19, 2020 · 6e0aaaf · 6e0aaaf
1 parent 1d5560c
commit 6e0aaaf
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/mlir/include/mlir/IR/StandardTypes.h b/mlir/include/mlir/IR/StandardTypes.h
@@ -342,8 +342,8 @@ class TensorType : public ShapedType {
 };
 
 /// Ranked tensor types represent multi-dimensional arrays that have a shape
-/// with a fixed number of dimensions. Each shape element can be a positive
-/// integer or unknown (represented -1).
+/// with a fixed number of dimensions. Each shape element can be a non-negative
+/// integer or unknown (represented by -1).
 class RankedTensorType
     : public Type::TypeBase<RankedTensorType, TensorType,
                             detail::RankedTensorTypeStorage> {