[PATCH] D76405: [MLIR] fix RankedTensorType doc comment

[Uday Bondhugula via Phabricator via llvm-commits]

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Ranked tensor types can have shape dimension size 0

Signed-off-by: Uday Bondhugula <uday at polymagelabs.com>


Repository:
  rG LLVM Github Monorepo

https://reviews.llvm.org/D76405

Files:
  mlir/include/mlir/IR/StandardTypes.h


Index: mlir/include/mlir/IR/StandardTypes.h
===================================================================
--- mlir/include/mlir/IR/StandardTypes.h
+++ mlir/include/mlir/IR/StandardTypes.h
@@ -342,8 +342,8 @@
 };
 
 /// 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> {


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