#include "mlir/Dialect/Quant/IR/Quant.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Tosa/IR/TosaOps.h"
#include "mlir/Dialect/Tosa/Utils/ConversionUtils.h"
#include "mlir/IR/BuiltinTypeInterfaces.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Transforms/FoldUtils.h"
#include "mlir/Transforms/InliningUtils.h"
#include "llvm/ADT/APFloat.h"
#include "llvm/ADT/APInt.h"
#include <functional>

Classes
struct	MaxPool2dIsNoOp
struct	ConcatOptimization
struct	ConsolidateTransposeOptimization
struct	TransposeIsReshape
struct	ClampIsNoOp
struct	ClampClampOptimization
struct	ClampClampOptimization::ClampRange< T >
struct	ConcatSliceOptimization
struct	PadSliceOptimization
struct	SliceDynamicSizeCanonicalization

Macros
#define	REDUCE_FOLDER(OP)

Functions
static bool	checkMatchingPadConstAndZp (Value padConst, Value zp)
template<typename IntFolder, typename FloatFolder>
static DenseElementsAttr	binaryFolder (DenseElementsAttr lhs, DenseElementsAttr rhs, RankedTensorType returnTy)
static bool	isSplatZero (Type elemType, DenseElementsAttr val)
static bool	isSplatOne (Type elemType, DenseElementsAttr val, int64_t shift)

Macro Definition Documentation

◆ REDUCE_FOLDER

#define REDUCE_FOLDER ( OP )

Value:

  OpFoldResult OP::fold(FoldAdaptor adaptor) {                                 \
    ShapedType inputTy = llvm::cast<ShapedType>(getInput().getType());         \
    if (!inputTy.hasRank())                                                    \
      return {};                                                               \
    if (inputTy != getType())                                                  \
      return {};                                                               \
    if (inputTy.getRank() == 0 || inputTy.getDimSize(getAxis()) == 1)          \
      return getInput();                                                       \
    return {};                                                                 \
  }