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MLIR
17.0.0git
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#include "mlir/Dialect/Linalg/Passes.h"#include "mlir/Dialect/Affine/IR/AffineOps.h"#include "mlir/Dialect/Arith/Utils/Utils.h"#include "mlir/Dialect/Linalg/IR/Linalg.h"#include "mlir/Dialect/Linalg/Transforms/Transforms.h"#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"#include "mlir/IR/AffineExpr.h"#include "mlir/IR/AffineMap.h"#include "mlir/IR/Matchers.h"#include "mlir/IR/PatternMatch.h"#include "mlir/Support/LLVM.h"#include "mlir/Transforms/GreedyPatternRewriteDriver.h"#include <optional>#include <utility>#include "mlir/Dialect/Linalg/Passes.h.inc"Go to the source code of this file.
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| mlir | |
| This header declares functions that assit transformations in the MemRef dialect. | |
Macros | |
| #define | GEN_PASS_DEF_LINALGFOLDUNITEXTENTDIMS |
| #define | GEN_PASS_DEF_LINALGELEMENTWISEOPFUSION |
Functions | |
| static AffineMap | getIndexingMapOfProducerOperandsInCoordinatesOfFusedOp (OpOperand *producerOpOperand, AffineMap producerResultIndexMap, AffineMap fusedConsumerArgIndexMap) |
Append to fusedOpIndexingMapAttrs the indexing maps for the operands of the producer to use in the fused operation given the indexing map of the result of the producer in the consumer. More... | |
| static void | generateFusedElementwiseOpRegion (RewriterBase &rewriter, GenericOp fusedOp, AffineMap consumerToProducerLoopsMap, OpOperand *fusedOperand, unsigned nloops, llvm::SmallDenseSet< int > &preservedProducerResults) |
| Generate the region of the fused tensor operation. More... | |
| static bool | isFusableWithReshapeByDimExpansion (GenericOp genericOp, OpOperand *fusableOpOperand) |
| Conditions for folding a generic operation with a reshape op by expanding the iteration space dimensionality for tensor operations. More... | |
| static LogicalResult | isGenericOpExpandable (GenericOp genericOp, const ExpansionInfo &expansionInfo, PatternRewriter &rewriter) |
| Epanding the body of a linalg operation requires adaptations of the accessed loop indices. More... | |
| static AffineMap | getIndexingMapInExpandedOp (OpBuilder &builder, AffineMap indexingMap, const ExpansionInfo &expansionInfo) |
Return the indexing map to use in the expanded op for a given the indexingMap of the original operation. More... | |
| static RankedTensorType | getExpandedType (RankedTensorType originalType, AffineMap indexingMap, const ExpansionInfo &expansionInfo) |
| Return the type of the operand/result to use in the expanded op given the type in the original op. More... | |
| static SmallVector< ReassociationIndices > | getReassociationForExpansion (AffineMap indexingMap, const ExpansionInfo &expansionInfo) |
Returns the reassociation maps to use in the tensor.expand_shape operation to convert the operands of the original operation to operands of the expanded operation. More... | |
| static void | updateExpandedGenericOpRegion (PatternRewriter &rewriter, Location loc, Region &fusedRegion, const ExpansionInfo &expansionInfo) |
| Update the body of an expanded linalg operation having index semantics. More... | |
| static std::optional< SmallVector< Value > > | fuseWithReshapeByExpansion (GenericOp genericOp, Operation *reshapeOp, OpOperand *fusableOpOperand, PatternRewriter &rewriter) |
Implements the fusion of a tensor.collapse_shape or a tensor.expand_shape op and a generic op as explained in isFusableWithReshapeByExpansion. More... | |
| static ReassociationIndices | getDomainReassociation (AffineMap indexingMap, ReassociationIndicesRef rangeReassociation) |
For a given list of indices in the range of the indexingMap that are folded, return the indices of the corresponding domain. More... | |
| static SmallVector< ReassociationIndices > | getCollapsableIterationSpaceDims (GenericOp genericOp, OpOperand *fusableOperand, ArrayRef< ReassociationIndices > reassociation) |
| static SmallVector< utils::IteratorType > | getCollapsedOpIteratorTypes (ArrayRef< utils::IteratorType > iteratorTypes, const CollapsingInfo &collapsingInfo) |
| Get the iterator types for the collapsed operation given the original iterator types and collapsed dimensions. More... | |
| static AffineMap | getCollapsedOpIndexingMap (AffineMap indexingMap, const CollapsingInfo &collapsingInfo) |
Compute the indexing map in the collapsed op that corresponds to the given indexingMap of the original operation. More... | |
| static SmallVector< ReassociationIndices > | getOperandReassociation (AffineMap indexingMap, const CollapsingInfo &collapsingInfo) |
Return the reassociation indices to use to collapse the operand when the iteration space of a generic op is collapsed. More... | |
| static Value | getCollapsedOpOperand (Location loc, GenericOp genericOp, OpOperand *opOperand, const CollapsingInfo &collapsingInfo, OpBuilder &builder) |
Get the new value to use for a given OpOperand in the collapsed operation. More... | |
| void | generateCollapsedIndexingRegion (Location loc, Block *block, const CollapsingInfo &collapsingInfo, ValueRange loopRange, RewriterBase &rewriter) |
Modify the linalg.index operations in the original generic op, to its value in the collapsed operation. More... | |
| #define GEN_PASS_DEF_LINALGELEMENTWISEOPFUSION |
Definition at line 31 of file ElementwiseOpFusion.cpp.
| #define GEN_PASS_DEF_LINALGFOLDUNITEXTENTDIMS |
Definition at line 30 of file ElementwiseOpFusion.cpp.
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Implements the fusion of a tensor.collapse_shape or a tensor.expand_shape op and a generic op as explained in isFusableWithReshapeByExpansion.
Assumes that those conditions have been satisfied.
Definition at line 734 of file ElementwiseOpFusion.cpp.
References mlir::Region::begin(), mlir::RewriterBase::cloneRegionBefore(), mlir::OpBuilder::create(), mlir::failed(), getExpandedType(), getReassociationForExpansion(), mlir::ValueRange::getTypes(), isFusableWithReshapeByDimExpansion(), isGenericOpExpandable(), mlir::RewriterBase::notifyMatchFailure(), mlir::reshapeLikeShapesAreCompatible(), mlir::OpBuilder::setInsertionPoint(), and updateExpandedGenericOpRegion().
| void generateCollapsedIndexingRegion | ( | Location | loc, |
| Block * | block, | ||
| const CollapsingInfo & | collapsingInfo, | ||
| ValueRange | loopRange, | ||
| RewriterBase & | rewriter | ||
| ) |
Modify the linalg.index operations in the original generic op, to its value in the collapsed operation.
Definition at line 1389 of file ElementwiseOpFusion.cpp.
References mlir::OpBuilder::create(), mlir::detail::enumerate(), mlir::Block::getOps(), mlir::RewriterBase::replaceOp(), and mlir::OpBuilder::setInsertionPointToStart().
Referenced by mlir::linalg::collapseGenericOpIterationDims().
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Generate the region of the fused tensor operation.
The region of the fused op must be empty.
Definition at line 153 of file ElementwiseOpFusion.cpp.
References mlir::Block::addArgument(), mlir::OpBuilder::create(), mlir::detail::enumerate(), mlir::Block::front(), mlir::IROperand< DerivedT, IRValueT >::get(), mlir::Block::getArguments(), mlir::Value::getDefiningOp(), mlir::OpOperand::getOperandNumber(), mlir::Block::getOps(), mlir::detail::IROperandBase::getOwner(), mlir::AffineMap::getSubMap(), mlir::IRMapping::map(), max(), and mlir::OpBuilder::setInsertionPointToStart().
Referenced by mlir::linalg::fuseElementwiseOps().
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Definition at line 1105 of file ElementwiseOpFusion.cpp.
References mlir::detail::enumerate(), getDomainReassociation(), mlir::linalg::isParallelIterator(), and mlir::linalg::isReductionIterator().
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Compute the indexing map in the collapsed op that corresponds to the given indexingMap of the original operation.
Definition at line 1315 of file ElementwiseOpFusion.cpp.
References mlir::AffineMap::get(), mlir::getAffineDimExpr(), mlir::AffineMap::getContext(), mlir::AffineMap::getResults(), and mlir::AffineMap::isProjectedPermutation().
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Get the iterator types for the collapsed operation given the original iterator types and collapsed dimensions.
Definition at line 1297 of file ElementwiseOpFusion.cpp.
Referenced by mlir::linalg::collapseGenericOpIterationDims().
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Get the new value to use for a given OpOperand in the collapsed operation.
Definition at line 1367 of file ElementwiseOpFusion.cpp.
References mlir::OpBuilder::create(), mlir::IROperand< DerivedT, IRValueT >::get(), mlir::AffineMap::getNumResults(), getOperandReassociation(), and mlir::Operation::getResult().
Referenced by mlir::linalg::collapseGenericOpIterationDims().
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For a given list of indices in the range of the indexingMap that are folded, return the indices of the corresponding domain.
Return std::nullopt on failure. Ensures that all the elements of the returned reassociation are distinct.
Definition at line 989 of file ElementwiseOpFusion.cpp.
References mlir::AffineMap::getResults(), and mlir::AffineMap::isProjectedPermutation().
Referenced by getCollapsableIterationSpaceDims().
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Return the type of the operand/result to use in the expanded op given the type in the original op.
Definition at line 653 of file ElementwiseOpFusion.cpp.
References mlir::get(), and mlir::AffineMap::getResults().
Referenced by fuseWithReshapeByExpansion().
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Return the indexing map to use in the expanded op for a given the indexingMap of the original operation.
Definition at line 635 of file ElementwiseOpFusion.cpp.
References mlir::AffineMap::get(), mlir::Builder::getContext(), mlir::AffineMap::getNumSymbols(), and mlir::AffineMap::getResults().
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Append to fusedOpIndexingMapAttrs the indexing maps for the operands of the producer to use in the fused operation given the indexing map of the result of the producer in the consumer.
Definition at line 45 of file ElementwiseOpFusion.cpp.
References mlir::AffineMap::compose(), mlir::detail::IROperandBase::getOwner(), and mlir::inversePermutation().
Referenced by mlir::linalg::areElementwiseOpsFusable(), and mlir::linalg::fuseElementwiseOps().
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Return the reassociation indices to use to collapse the operand when the iteration space of a generic op is collapsed.
Definition at line 1340 of file ElementwiseOpFusion.cpp.
References mlir::AffineExpr::cast(), mlir::AffineMap::getNumResults(), and mlir::AffineMap::getResult().
Referenced by mlir::linalg::collapseGenericOpIterationDims(), and getCollapsedOpOperand().
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Returns the reassociation maps to use in the tensor.expand_shape operation to convert the operands of the original operation to operands of the expanded operation.
The same method is used to compute the tensor.collapse_shape used to collapse the result of the expanded op to get the value that can replace all uses of the results of the original op.
Definition at line 672 of file ElementwiseOpFusion.cpp.
References mlir::AffineMap::getResults().
Referenced by fuseWithReshapeByExpansion().
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Conditions for folding a generic operation with a reshape op by expanding the iteration space dimensionality for tensor operations.
These are preconditions assumed by foldReshapeByDimExpansion which implements the following fusion pattern.
Consider
c = linalg.generic ins(a, b : memref<?x?x?xf32>, memref<?x?xf32>) indexing_maps = [affine_map<(d0, d1, d2) -> (d1, d0, d2)>, affine_map<(d0, d1, d2) -> (d1, d2)>, affine_map<(d0, d1, d2) -> (d0, d2, d1)>] d = tensor.expand_shape c [[0, 1], [2], [3, 4, 5]] : tensor<?x?x?xf32> into tensor<?x?x?x?x?x?xf32>
The reshape can be folded into the genericOp if its loop dimensionality is increased to match the result (operand) of the tensor.expand_shape. The indexing_map of the fused tensor in the genericOp and the reassociation map helps compute the indexing maps of the modified op. For the above example, based on the reassociation map it can be concluded that
i.e. (e0, e1, e2, e3, e4) is the domain of the indexing map of the modified op, then
d0 -> e0, e1 d1 -> e2, e3, e4 d2 -> e5
substituting this, the generic op can be rewritten as
d = linalg.generic ins(%0, %1 : ) indexing_maps = [affine_map<(e0, e1, e2, e3, e4, e5) -> (e2, e3, e4, e0, e1, e5)>, affine_map<(e0, e1, e2, e3, e4, e5) -> (e2, e3, e4, e5)>, affine_map<(e0, e1, e2, e3, e4, e5) -> (e0, e1, e5, e2, e3, e4)>]
Since operands to the linalg generic are now 5D, reshapes can be introduced to make it consistent
%0 = tensor.expand_shape a [[0, 1, 2], [3, 4], [5]] : tensor<?x?x?xf32> into tensor<?x?x?x?x?x?xf32> %1 = tensor.expand_shape b [[0, 1, 2], [3]] : tensor<?x?x?xf32> into tensor<?x?x?x?xf32>
The added reshapes are again expanding patterns, so they will get fused with its producers if possible.
Definition at line 505 of file ElementwiseOpFusion.cpp.
References mlir::linalg::isParallelIterator().
Referenced by fuseWithReshapeByExpansion().
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Epanding the body of a linalg operation requires adaptations of the accessed loop indices.
Specifically, access of indices in the original operation need to be replaced with linearizations of indices in the expanded op. That requires the shape of the expanded dimensions to be static (at least all but the most significant). For now check that these are all statically sized. Note that this could be extended to handle dynamic case, but the implementation below uses affine.apply which seems to have issues when the shapes are not static.
Definition at line 613 of file ElementwiseOpFusion.cpp.
References mlir::RewriterBase::notifyMatchFailure(), and mlir::success().
Referenced by fuseWithReshapeByExpansion().
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Update the body of an expanded linalg operation having index semantics.
The indices of the original operation need to be recovered by linearizing the indices of the correspoding dimensions of the expanded operation. For now it is assumed that the shapes of the expanded operation needed for linearization are static.
Definition at line 692 of file ElementwiseOpFusion.cpp.
References mlir::bindDims(), mlir::OpBuilder::create(), mlir::Region::front(), mlir::Builder::getContext(), mlir::Block::getOps(), mlir::RewriterBase::replaceOp(), and mlir::OpBuilder::setInsertionPointAfter().
Referenced by fuseWithReshapeByExpansion().
1.9.1