MLIR  19.0.0git
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GenericPadOpVectorizationPattern Struct Reference

Rewrite a tensor::PadOp into a sequence of EmptyOp, FillOp and InsertSliceOp. More...

+ Inheritance diagram for GenericPadOpVectorizationPattern:

Public Member Functions

 GenericPadOpVectorizationPattern (MLIRContext *context, PatternBenefit benefit=1)
 
- Public Member Functions inherited from mlir::linalg::GeneralizePadOpPattern
 GeneralizePadOpPattern (MLIRContext *context, OptimizeCopyFn optimizeCopyFn=nullptr, PatternBenefit benefit=1)
 
LogicalResult matchAndRewrite (tensor::PadOp padOp, PatternRewriter &rewriter) const override
 
- Public Member Functions inherited from mlir::OpRewritePattern< tensor::PadOp >
 OpRewritePattern (MLIRContext *context, PatternBenefit benefit=1, ArrayRef< StringRef > generatedNames={})
 Patterns must specify the root operation name they match against, and can also specify the benefit of the pattern matching and a list of generated ops. More...
 
- Public Member Functions inherited from mlir::detail::OpOrInterfaceRewritePatternBase< SourceOp >
void rewrite (Operation *op, PatternRewriter &rewriter) const final
 Wrappers around the RewritePattern methods that pass the derived op type. More...
 
LogicalResult match (Operation *op) const final
 Attempt to match against code rooted at the specified operation, which is the same operation code as getRootKind(). More...
 
LogicalResult matchAndRewrite (Operation *op, PatternRewriter &rewriter) const final
 Attempt to match against code rooted at the specified operation, which is the same operation code as getRootKind(). More...
 
virtual void rewrite (SourceOp op, PatternRewriter &rewriter) const
 Rewrite and Match methods that operate on the SourceOp type. More...
 
virtual LogicalResult match (SourceOp op) const
 
virtual LogicalResult matchAndRewrite (SourceOp op, PatternRewriter &rewriter) const
 
- Public Member Functions inherited from mlir::RewritePattern
virtual ~RewritePattern ()=default
 
- Public Member Functions inherited from mlir::Pattern
ArrayRef< OperationNamegetGeneratedOps () const
 Return a list of operations that may be generated when rewriting an operation instance with this pattern. More...
 
std::optional< OperationNamegetRootKind () const
 Return the root node that this pattern matches. More...
 
std::optional< TypeIDgetRootInterfaceID () const
 Return the interface ID used to match the root operation of this pattern. More...
 
std::optional< TypeIDgetRootTraitID () const
 Return the trait ID used to match the root operation of this pattern. More...
 
PatternBenefit getBenefit () const
 Return the benefit (the inverse of "cost") of matching this pattern. More...
 
bool hasBoundedRewriteRecursion () const
 Returns true if this pattern is known to result in recursive application, i.e. More...
 
MLIRContextgetContext () const
 Return the MLIRContext used to create this pattern. More...
 
StringRef getDebugName () const
 Return a readable name for this pattern. More...
 
void setDebugName (StringRef name)
 Set the human readable debug name used for this pattern. More...
 
ArrayRef< StringRef > getDebugLabels () const
 Return the set of debug labels attached to this pattern. More...
 
void addDebugLabels (ArrayRef< StringRef > labels)
 Add the provided debug labels to this pattern. More...
 
void addDebugLabels (StringRef label)
 

Static Public Member Functions

static LogicalResult tryVectorizeCopy (RewriterBase &rewriter, tensor::PadOp padOp, Value dest)
 Vectorize the copying of a tensor::PadOp's source. More...
 
- Static Public Member Functions inherited from mlir::RewritePattern
template<typename T , typename... Args>
static std::unique_ptr< T > create (Args &&...args)
 This method provides a convenient interface for creating and initializing derived rewrite patterns of the given type T. More...
 

Additional Inherited Members

- Protected Member Functions inherited from mlir::linalg::GeneralizePadOpPattern
Value createFillOrGenerateOp (RewriterBase &rewriter, tensor::PadOp padOp, Value dest, const SmallVector< Value > &dynSizes) const
 Filling dest using FillOp constant padding value if possible. More...
 
- Protected Member Functions inherited from mlir::RewritePattern
 Pattern (StringRef rootName, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Inherit the base constructors from Pattern. More...
 
 Pattern (MatchAnyOpTypeTag tag, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Inherit the base constructors from Pattern. More...
 
 Pattern (MatchInterfaceOpTypeTag tag, TypeID interfaceID, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Inherit the base constructors from Pattern. More...
 
 Pattern (MatchTraitOpTypeTag tag, TypeID traitID, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Inherit the base constructors from Pattern. More...
 
- Protected Member Functions inherited from mlir::Pattern
 Pattern (StringRef rootName, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Construct a pattern with a certain benefit that matches the operation with the given root name. More...
 
 Pattern (MatchAnyOpTypeTag tag, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Construct a pattern that may match any operation type. More...
 
 Pattern (MatchInterfaceOpTypeTag tag, TypeID interfaceID, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Construct a pattern that may match any operation that implements the interface defined by the provided interfaceID. More...
 
 Pattern (MatchTraitOpTypeTag tag, TypeID traitID, PatternBenefit benefit, MLIRContext *context, ArrayRef< StringRef > generatedNames={})
 Construct a pattern that may match any operation that implements the trait defined by the provided traitID. More...
 
void setHasBoundedRewriteRecursion (bool hasBoundedRecursionArg=true)
 Set the flag detailing if this pattern has bounded rewrite recursion or not. More...
 
- Protected Attributes inherited from mlir::linalg::GeneralizePadOpPattern
OptimizeCopyFn optimizeCopyFn
 

Detailed Description

Rewrite a tensor::PadOp into a sequence of EmptyOp, FillOp and InsertSliceOp.

For now, only constant padding values are supported. If there is enough static type information, TransferReadOps and TransferWriteOps may be generated instead of InsertSliceOps.

Definition at line 2157 of file Vectorization.cpp.

Constructor & Destructor Documentation

◆ GenericPadOpVectorizationPattern()

GenericPadOpVectorizationPattern::GenericPadOpVectorizationPattern ( MLIRContext context,
PatternBenefit  benefit = 1 
)
inline

Definition at line 2158 of file Vectorization.cpp.

Member Function Documentation

◆ tryVectorizeCopy()

static LogicalResult GenericPadOpVectorizationPattern::tryVectorizeCopy ( RewriterBase rewriter,
tensor::PadOp  padOp,
Value  dest 
)
inlinestatic

Vectorize the copying of a tensor::PadOp's source.

This is possible if each dimension size is statically know in the source type or the result type (or both).

Definition at line 2164 of file Vectorization.cpp.

References mlir::OpBuilder::create(), mlir::failure(), mlir::get(), mlir::getConstantIntValue(), mlir::Value::getDefiningOp(), mlir::Builder::getZeroAttr(), ofrToIndexValues(), mlir::RewriterBase::replaceOpWithNewOp(), and mlir::success().


The documentation for this struct was generated from the following file: