Bufferize.cpp File Reference

#include "mlir/Dialect/Bufferization/Transforms/Passes.h"
#include "mlir/Dialect/Bufferization/IR/BufferizableOpInterface.h"
#include "mlir/Dialect/Bufferization/IR/Bufferization.h"
#include "mlir/Dialect/Bufferization/Transforms/Bufferize.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotAnalysis.h"
#include "mlir/Dialect/Bufferization/Transforms/OneShotModuleBufferize.h"
#include "mlir/Dialect/Bufferization/Transforms/Transforms.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/MemRef/IR/MemRef.h"
#include "mlir/IR/Operation.h"
#include "mlir/Interfaces/SideEffectInterfaces.h"
#include "mlir/Pass/PassManager.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#include "mlir/Transforms/Passes.h"
#include <optional>
#include "mlir/Dialect/Bufferization/Transforms/Passes.h.inc"

Include dependency graph for Bufferize.cpp:

Go to the source code of this file.

Namespaces
	mlir
	This header declares functions that assit transformations in the MemRef dialect.
	mlir::bufferization

Macros
#define	GEN_PASS_DEF_FINALIZINGBUFFERIZE
#define	GEN_PASS_DEF_BUFFERIZATIONBUFFERIZE
#define	GEN_PASS_DEF_ONESHOTBUFFERIZE
#define	DEBUG_TYPE   "bufferize"

Functions
static Value	materializeToTensor (OpBuilder &builder, TensorType type, ValueRange inputs, Location loc)
static bool	isaTensor (Type t)
static bool	hasTensorSemantics (Operation *op)
	Return true if the given op has a tensor result or a tensor operand. More...

Macro Definition Documentation

DEBUG_TYPE

#define DEBUG_TYPE   "bufferize"

Definition at line 35 of file Bufferize.cpp.

GEN_PASS_DEF_BUFFERIZATIONBUFFERIZE

#define GEN_PASS_DEF_BUFFERIZATIONBUFFERIZE

Definition at line 29 of file Bufferize.cpp.

GEN_PASS_DEF_FINALIZINGBUFFERIZE

#define GEN_PASS_DEF_FINALIZINGBUFFERIZE

Definition at line 28 of file Bufferize.cpp.

GEN_PASS_DEF_ONESHOTBUFFERIZE

#define GEN_PASS_DEF_ONESHOTBUFFERIZE

Definition at line 30 of file Bufferize.cpp.

Function Documentation

hasTensorSemantics()

static bool hasTensorSemantics ( Operation *  op )

static

Return true if the given op has a tensor result or a tensor operand.

Definition at line 331 of file Bufferize.cpp.

References mlir::Operation::getOperandTypes(), mlir::Operation::getResultTypes(), and isaTensor().

Referenced by mlir::bufferization::bufferizeOp().

isaTensor()

static bool isaTensor ( Type  t )

static

Definition at line 328 of file Bufferize.cpp.

References mlir::Type::isa().

Referenced by hasTensorSemantics().

materializeToTensor()

static Value materializeToTensor ( OpBuilder &  builder, TensorType  type, ValueRange  inputs, Location  loc  )

static

Definition at line 44 of file Bufferize.cpp.

References mlir::OpBuilder::create().

Referenced by mlir::bufferization::BufferizeTypeConverter::BufferizeTypeConverter().