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[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
This commit is contained in:
Uday Bondhugula 2020-03-19 09:14:44 +05:30
parent 1d5560c363
commit 6e0aaafbc7
1 changed files with 2 additions and 2 deletions
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4
mlir/include/mlir/IR/StandardTypes.h
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@ -342,8 +342,8 @@ public:
};
/// 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> {