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/// Methods for support type inquiry through isa, cast, and dyn_cast.		/// Methods for support type inquiry through isa, cast, and dyn_cast.
static bool classof(Type type) {		static bool classof(Type type) {
return type.getKind() == StandardTypes::RankedTensor \|\|		return type.getKind() == StandardTypes::RankedTensor \|\|
type.getKind() == StandardTypes::UnrankedTensor;		type.getKind() == StandardTypes::UnrankedTensor;
}		}
};		};

/// Ranked tensor types represent multi-dimensional arrays that have a shape		/// Ranked tensor types represent multi-dimensional arrays that have a shape
/// with a fixed number of dimensions. Each shape element can be a positive		/// with a fixed number of dimensions. Each shape element can be a non-negative
/// integer or unknown (represented -1).		/// integer or unknown (represented by -1).
class RankedTensorType		class RankedTensorType
: public Type::TypeBase<RankedTensorType, TensorType,		: public Type::TypeBase<RankedTensorType, TensorType,
detail::RankedTensorTypeStorage> {		detail::RankedTensorTypeStorage> {
public:		public:
using Base::Base;		using Base::Base;

/// Get or create a new RankedTensorType of the provided shape and element		/// Get or create a new RankedTensorType of the provided shape and element
/// type. Assumes the arguments define a well-formed type.		/// type. Assumes the arguments define a well-formed type.
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[MLIR] fix RankedTensorType doc commentClosedPublic