MLIR
20.0.0git
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Pattern to compose collapse_shape(expand_shape(src, reassociation_1), reassociation_2)
.
More...
#include "mlir/Dialect/Utils/ReshapeOpsUtils.h"
Public Member Functions | |
LogicalResult | matchAndRewrite (CollapseOpTy collapseOp, PatternRewriter &rewriter) const override |
Public Member Functions inherited from mlir::OpRewritePattern< CollapseOpTy > | |
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< OperationName > | getGeneratedOps () const |
Return a list of operations that may be generated when rewriting an operation instance with this pattern. More... | |
std::optional< OperationName > | getRootKind () const |
Return the root node that this pattern matches. More... | |
std::optional< TypeID > | getRootInterfaceID () const |
Return the interface ID used to match the root operation of this pattern. More... | |
std::optional< TypeID > | getRootTraitID () 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... | |
MLIRContext * | getContext () 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) |
Additional Inherited Members | |
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... | |
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... | |
Pattern to compose collapse_shape(expand_shape(src, reassociation_1), reassociation_2)
.
In that case both srcType
and resultType
can be expressed as a function of intermediateType
. In order to demonstrate the approach, let's assume that rank(srcType) >
rank(resultType), i.e. the resulting operation should be
collapse_shape. In that case, we can iterate over every set of indices in
reassociation_2 and try to find ids of sets of indices in
reassociation_1` that cover it completely.
Example:
%0 = tensor.expand_shape arg [[0], [1], [2, 3]] : tensor<?x?x?xi64> into tensor<?x?x?x1xi64> %1 = tensor.collapse_shape %0 [[0, 1], [2, 3]] : tensor<?x?x?x1xi64> into tensor<?x?xi64>
can be canonicalized into
%0 = tensor.collapse_shape arg [[0, 1], [2]] : tensor<?x?x?xi64> into tensor<?x?xi64>
because [0] and [1] from expand_shape
reassociation cover completely [0, 1]
from collapse_shape
. If it is impossible to find such union of indices, then we fail. When rank(srcType) < rank(resultType)
, then we just swap reassociation_1
reassociation_2
and produce expand_shape
.
Definition at line 257 of file ReshapeOpsUtils.h.
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inlineoverride |
Definition at line 259 of file ReshapeOpsUtils.h.
References mlir::hasNonIdentityLayout(), and mlir::RewriterBase::replaceOpWithNewOp().