VectorUtils.cpp File Reference

#include "mlir/Dialect/Vector/Utils/VectorUtils.h"
#include "mlir/Dialect/Affine/Analysis/LoopAnalysis.h"
#include "mlir/Dialect/Affine/IR/AffineOps.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Utils/IndexingUtils.h"
#include "mlir/Dialect/Vector/IR/VectorOps.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/IntegerSet.h"
#include "mlir/IR/Operation.h"
#include "mlir/IR/TypeUtilities.h"
#include "mlir/Support/LLVM.h"
#include "llvm/ADT/DenseSet.h"
#include "llvm/Support/DebugLog.h"
#include "llvm/Support/InterleavedRange.h"

Go to the source code of this file.

Macros
#define	DEBUG_TYPE   "vector-utils"

Functions
static bool	areDimsTransposedIn2DSlice (int64_t dim0, int64_t dim1, ArrayRef< int64_t > transp)
	Given the n-D transpose pattern 'transp', return true if 'dim0' and 'dim1' should be transposed with each other within the context of their 2D transposition slice.
static AffineMap	makePermutationMap (ArrayRef< Value > indices, const DenseMap< Operation *, unsigned > &enclosingLoopToVectorDim)
	Constructs a permutation map from memref indices to vector dimension.
template<typename T>
static SetVector< Operation * >	getParentsOfType (Block *block)
	Implementation detail that walks up the parents and records the ones with the specified type.
static SetVector< Operation * >	getEnclosingforOps (Block *block)
	Returns the enclosing AffineForOp, from closest to farthest.

Macro Definition Documentation

DEBUG_TYPE

#define DEBUG_TYPE   "vector-utils"

Definition at line 33 of file VectorUtils.cpp.

Function Documentation

areDimsTransposedIn2DSlice()

bool areDimsTransposedIn2DSlice ( int64_t dim0, int64_t dim1, ArrayRef< int64_t > transp )

static

Given the n-D transpose pattern 'transp', return true if 'dim0' and 'dim1' should be transposed with each other within the context of their 2D transposition slice.

Example 1: dim0 = 0, dim1 = 2, transp = [2, 1, 0] Return true: dim0 and dim1 are transposed within the context of their 2D transposition slice ([1, 0]).

Example 2: dim0 = 0, dim1 = 1, transp = [2, 1, 0] Return true: dim0 and dim1 are transposed within the context of their 2D transposition slice ([1, 0]). Paradoxically, note how dim1 (1) is not transposed within the full context of the transposition.

Example 3: dim0 = 0, dim1 = 1, transp = [2, 0, 1] Return false: dim0 and dim1 are not transposed within the context of their 2D transposition slice ([0, 1]). Paradoxically, note how dim0 (0) and dim1 (1) are transposed within the full context of the of the transposition.

Definition at line 66 of file VectorUtils.cpp.

Referenced by mlir::vector::isTranspose2DSlice().

getEnclosingforOps()

SetVector< Operation * > getEnclosingforOps ( Block * block )

static

Returns the enclosing AffineForOp, from closest to farthest.

Definition at line 177 of file VectorUtils.cpp.

References getParentsOfType().

getParentsOfType()

template<typename T>

SetVector< Operation * > getParentsOfType ( Block * block )

static

Implementation detail that walks up the parents and records the ones with the specified type.

TODO: could also be implemented as a collect parents followed by a filter and made available outside this file.

Definition at line 163 of file VectorUtils.cpp.

References mlir::Block::getParentOp().

Referenced by getEnclosingforOps().

makePermutationMap()

AffineMap makePermutationMap ( ArrayRef< Value > indices, const DenseMap< Operation *, unsigned > & enclosingLoopToVectorDim )

static

Constructs a permutation map from memref indices to vector dimension.

The implementation uses the knowledge of the mapping of enclosing loop to vector dimension. enclosingLoopToVectorDim carries this information as a map with:

• keys representing "vectorized enclosing loops";
• values representing the corresponding vector dimension. The algorithm traverses "vectorized enclosing loops" and extracts the at-most-one MemRef index that is invariant along said loop. This index is guaranteed to be at most one by construction: otherwise the MemRef is not vectorizable. If this invariant index is found, it is added to the permutation_map at the proper vector dimension. If no index is found to be invariant, 0 is added to the permutation_map and corresponds to a vector broadcast along that dimension.

Returns an empty AffineMap if enclosingLoopToVectorDim is empty, signalling that no permutation map can be constructed given enclosingLoopToVectorDim.

Examples can be found in the documentation of makePermutationMap, in the header file.

Definition at line 124 of file VectorUtils.cpp.

References mlir::AffineMap::get(), mlir::getAffineConstantExpr(), mlir::getAffineDimExpr(), mlir::affine::getInvariantAccesses(), and indices.

Referenced by vectorizeAffineLoad(), and vectorizeAffineStore().