MLIR  17.0.0git
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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