[Mlir-commits] [mlir] 6e0aaaf - [MLIR][NFC] fix RankedTensorType doc comment

[Uday Bondhugula]

Author: Uday Bondhugula
Date: 2020-03-19T15:32:13+05:30
New Revision: 6e0aaafbc782bdd2852a48c87a3f6cc8fa667bee

URL: https://github.com/llvm/llvm-project/commit/6e0aaafbc782bdd2852a48c87a3f6cc8fa667bee
DIFF: https://github.com/llvm/llvm-project/commit/6e0aaafbc782bdd2852a48c87a3f6cc8fa667bee.diff

LOG: [MLIR][NFC] fix RankedTensorType doc comment

Ranked tensor types can have shape dimension size 0

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

Differential Revision: https://reviews.llvm.org/D76405

Added: 
    

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

Removed: 
    


################################################################################
diff  --git a/mlir/include/mlir/IR/StandardTypes.h b/mlir/include/mlir/IR/StandardTypes.h
index d1c31acb0a51..fb1ec07ab5ff 100644
--- 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> {