Tensor.h File Reference

#include "mlir/Bytecode/BytecodeOpInterface.h"
#include "mlir/Dialect/Utils/ReshapeOpsUtils.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Dialect.h"
#include "mlir/IR/OpDefinition.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/Interfaces/CastInterfaces.h"
#include "mlir/Interfaces/ControlFlowInterfaces.h"
#include "mlir/Interfaces/DestinationStyleOpInterface.h"
#include "mlir/Interfaces/InferIntRangeInterface.h"
#include "mlir/Interfaces/InferTypeOpInterface.h"
#include "mlir/Interfaces/ParallelCombiningOpInterface.h"
#include "mlir/Interfaces/ShapedOpInterfaces.h"
#include "mlir/Interfaces/SideEffectInterfaces.h"
#include "mlir/Interfaces/TilingInterface.h"
#include "mlir/Interfaces/ViewLikeInterface.h"
#include "mlir/Dialect/Tensor/IR/TensorOpsDialect.h.inc"
#include "mlir/Dialect/Tensor/IR/TensorOps.h.inc"

Go to the source code of this file.

Namespaces
namespace	mlir
	Include the generated interface declarations.
namespace	mlir::tensor

Macros
#define	GET_OP_CLASSES

Typedefs
using	mlir::tensor::ControlConstantExtractSliceFusionFn = std::function<bool(ExtractSliceOp)>
	Function to control the folding of constant and extract slice.

Functions
SmallVector< Range, 8 >	mlir::getOrCreateRanges (OffsetSizeAndStrideOpInterface op, OpBuilder &b, Location loc)
	Return the list of Range (i.e.
bool	mlir::tensor::preservesStaticInformation (Type source, Type target)
	Returns true if target is a ranked tensor type that preserves static information available in the source ranked tensor type.
bool	mlir::tensor::canFoldIntoConsumerOp (CastOp castOp)
	Determines whether tensor::CastOp casts to a more dynamic version of the source tensor.
bool	mlir::tensor::canFoldIntoProducerOp (CastOp castOp)
	Determines whether the tensor::CastOp casts to a more static version of the source tensor.
bool	mlir::tensor::hasFoldableTensorCastOperand (Operation *op)
	Return true if any of the operands of op is a CastOp that can be folded into its consumer, i.e.
SmallVector< Value >	mlir::tensor::getUpdatedOperandsAfterCastOpFolding (DestinationStyleOpInterface op, SmallVector< Type > &newResTy)
	Assuming that op contains at least one operand that is a foldable CastOp (i.e.
LogicalResult	mlir::tensor::foldTensorCast (Operation *op)
	Performs folding of any operand of op if it comes from a tensor::CastOp that can be folded.
OpFoldResult	mlir::tensor::getMixedSize (OpBuilder &builder, Location loc, Value value, int64_t dim)
	Return the dimension of the given tensor value.
SmallVector< OpFoldResult >	mlir::tensor::getMixedSizes (OpBuilder &builder, Location loc, Value value)
	Return the dimensions of the given tensor value.
Value	mlir::tensor::createCanonicalRankReducingExtractSliceOp (OpBuilder &b, Location loc, Value tensor, RankedTensorType targetType)
	Create a rank-reducing ExtractSliceOp @[0 .
Value	mlir::tensor::createCanonicalRankReducingInsertSliceOp (OpBuilder &b, Location loc, Value tensor, Value dest)
	Create a rank-reducing InsertSliceOp @[0 .
FailureOr< Value >	mlir::tensor::getOrCreateDestination (OpBuilder &b, Location loc, OpResult opResult)
	This is a helper function for DestinationStyleOpInterface.
LogicalResult	mlir::tensor::getOrCreateDestinations (OpBuilder &b, Location loc, Operation *op, SmallVector< Value > &result)
	This is a helper function for DestinationStyleOpInterface.
bool	mlir::tensor::isSameTypeWithoutEncoding (Type tp1, Type tp2)
	Tests if types are the same when ignoring encoding on ranked tensors.
void	mlir::tensor::populateFoldConstantExtractSlicePatterns (RewritePatternSet &patterns, const ControlConstantExtractSliceFusionFn &controlFn=[](ExtractSliceOp op) { return false;})
	Patterns to fold the extract slice op with its constant operand.
void	mlir::tensor::populateFoldCollapseExtractPatterns (RewritePatternSet &patterns)
	Patterns to fold extracts of a collapse_shaped tensor to an extract of the source tensor.

Macro Definition Documentation

GET_OP_CLASSES

#define GET_OP_CLASSES

Definition at line 53 of file Tensor.h.