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    MLIR 22.0.0git
    
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#include "mlir/Dialect/Linalg/IR/Linalg.h"#include "mlir/AsmParser/AsmParser.h"#include "mlir/Dialect/Affine/IR/AffineOps.h"#include "mlir/Dialect/Arith/IR/Arith.h"#include "mlir/Dialect/Arith/Utils/Utils.h"#include "mlir/Dialect/Complex/IR/Complex.h"#include "mlir/Dialect/Math/IR/Math.h"#include "mlir/Dialect/MemRef/IR/MemRef.h"#include "mlir/Dialect/SparseTensor/IR/SparseTensor.h"#include "mlir/Dialect/Tensor/IR/Tensor.h"#include "mlir/Dialect/Utils/IndexingUtils.h"#include "mlir/Dialect/Utils/ReshapeOpsUtils.h"#include "mlir/Dialect/Utils/StaticValueUtils.h"#include "mlir/IR/AffineMap.h"#include "mlir/IR/Attributes.h"#include "mlir/IR/Builders.h"#include "mlir/IR/BuiltinAttributes.h"#include "mlir/IR/BuiltinTypeInterfaces.h"#include "mlir/IR/OpImplementation.h"#include "mlir/IR/OperationSupport.h"#include "mlir/IR/PatternMatch.h"#include "mlir/IR/TypeUtilities.h"#include "mlir/Interfaces/InferTypeOpInterface.h"#include "mlir/Interfaces/SideEffectInterfaces.h"#include "llvm/ADT/DenseMap.h"#include "llvm/ADT/STLExtras.h"#include "llvm/ADT/SetOperations.h"#include "llvm/ADT/SmallVector.h"#include "llvm/ADT/StringSet.h"#include "llvm/ADT/TypeSwitch.h"#include "llvm/Support/FormatVariadic.h"#include "llvm/Support/InterleavedRange.h"#include "llvm/Support/LogicalResult.h"#include "llvm/Support/MathExtras.h"#include "llvm/Support/raw_ostream.h"#include <cassert>#include <optional>#include "mlir/Dialect/Linalg/IR/LinalgNamedStructuredOps.yamlgen.cpp.inc"#include "mlir/Dialect/Linalg/IR/LinalgOps.cpp.inc"#include "mlir/Dialect/Linalg/IR/LinalgStructuredOps.cpp.inc"#include "mlir/Dialect/Linalg/IR/LinalgRelayoutOps.cpp.inc"Go to the source code of this file.
Classes | |
| struct | FoldTransposeWithTranspose | 
| Fold transpose with transpose.  More... | |
| struct | SwapTransposeWithBroadcast | 
| This pattern canonicalize transpose by swapping the order of broadcast and transpose: transpose(broadcast(input)) -> broadcast(transpose(input))  More... | |
| struct | FoldBroadcasts | 
| Fold back-to-back broadcasts together.  More... | |
| struct | mlir::linalg::FoldTensorCastPackOp | 
| Folds a tensor.cast op into a consuming PackOp op if the tensor.cast has source that is more static than the consuming op.  More... | |
| struct | mlir::linalg::FoldTensorCastUnPackOp | 
| Folds a tensor.cast op into a consuming UnPackOp op if the tensor.cast has source that is more static than the consuming op.  More... | |
Namespaces | |
| namespace | mlir | 
| Include the generated interface declarations.  | |
| namespace | mlir::linalg | 
Macros | |
| #define | GET_OP_CLASSES | 
| #define | GET_OP_CLASSES | 
| #define | GET_OP_CLASSES | 
Typedefs | |
| using | RegionBuilderFn | 
Functions | |
| static OpFoldResult | getDimValue (OpBuilder &builder, Location loc, Value v, int64_t dim) | 
| Return a memref.dim or tensor.dim for the shape of v at dim.   | |
| static Operation * | getSlice (OpBuilder &b, Location loc, Value source, ArrayRef< OpFoldResult > offsets, ArrayRef< OpFoldResult > sizes, ArrayRef< OpFoldResult > strides) | 
| Returns a memref.subview or a tensor.extract_slice based on the type of the source.   | |
| static void | fillStructuredOpRegion (OpBuilder &opBuilder, Region ®ion, TypeRange inputTypes, TypeRange outputTypes, ArrayRef< NamedAttribute > attrs, function_ref< InFlightDiagnostic()> emitError, RegionBuilderFn regionBuilder) | 
| Fills the region of a structured operation using the provided regionBuilder.   | |
| static void | buildStructuredOp (OpBuilder &b, OperationState &state, std::optional< TypeRange > resultTensorTypes, ValueRange inputs, ValueRange outputs, ArrayRef< NamedAttribute > attributes, RegionBuilderFn regionBuilder) | 
| Creates a structured operation given inputs, outputs, and attributes.   | |
| static void | buildMatmulOp (OpBuilder &b, OperationState &state, std::optional< TypeRange > resultTensorTypes, ValueRange inputs, ValueRange outputs, ArrayRef< NamedAttribute > attributes, RegionBuilderFn regionBuilder, ArrayRef< AffineMap > indexingMaps) | 
| static void | buildBatchMatmulOp (OpBuilder &b, OperationState &state, std::optional< TypeRange > resultTensorTypes, ValueRange inputs, ValueRange outputs, ArrayRef< NamedAttribute > attributes, RegionBuilderFn regionBuilder, ArrayRef< AffineMap > indexingMaps) | 
| static void | buildBatchReduceMatmulOp (OpBuilder &b, OperationState &state, std::optional< TypeRange > resultTensorTypes, ValueRange inputs, ValueRange outputs, ArrayRef< NamedAttribute > attributes, RegionBuilderFn regionBuilder, ArrayRef< AffineMap > indexingMaps) | 
| static ParseResult | parseCommonStructuredOpParts (OpAsmParser &parser, OperationState &result, SmallVectorImpl< Type > &inputTypes, SmallVectorImpl< Type > &outputTypes, bool addOperandSegmentSizes=true) | 
| Common parsing used for both named structured ops created by ods-gen and by manually defined C++ ops.   | |
| static void | printCommonStructuredOpParts (OpAsmPrinter &p, ValueRange inputs, ValueRange outputs) | 
| static ParseResult | parseNamedStructuredOpRegion (OpAsmParser &parser, Region ®ion, unsigned numRegionArgs, TypeRange inputTypes, TypeRange outputTypes, ArrayRef< NamedAttribute > attrs, RegionBuilderFn regionBuilder, SMLoc loc) | 
| static ParseResult | parseNamedStructuredOpResults (OpAsmParser &parser, SmallVectorImpl< Type > &resultTypes) | 
| static ParseResult | parseNamedStructuredOp (OpAsmParser &parser, OperationState &result, unsigned numRegionArgs, RegionBuilderFn regionBuilder) | 
| static void | printNamedStructuredOpResults (OpAsmPrinter &p, TypeRange resultTypes) | 
| static void | printNamedStructuredOp (OpAsmPrinter &p, Operation *op, ValueRange inputs, ValueRange outputs, ArrayRef< StringRef > elidedAttrs={}) | 
| static void | buildGenericRegion (OpBuilder &builder, Location loc, Region ®ion, ValueRange inputs, ValueRange outputs, function_ref< void(OpBuilder &, Location, ValueRange)> bodyBuild) | 
| static void | getGenericEffectsImpl (SmallVectorImpl< SideEffects::EffectInstance< MemoryEffects::Effect > > &effects, LinalgOp linalgOp) | 
| static Speculation::Speculatability | getGenericSpeculatabilityImpl (LinalgOp linalgOp) | 
| static ParseResult | parseDstStyleOp (OpAsmParser &parser, OperationState &result, function_ref< ParseResult(OpAsmParser &, NamedAttrList &)> parseAttrsFn=nullptr) | 
| static void | addBodyWithPayloadOp (OpAsmParser &parser, OperationState &result, const OperationName &payloadOpName, const NamedAttrList &payloadOpAttrs, ArrayRef< Value > operands, bool initFirst=false, bool mapInit=true) | 
| static bool | canUseShortForm (Block *body, bool initFirst=false, bool mapInit=true) | 
| static void | printShortForm (OpAsmPrinter &p, Operation *payloadOp) | 
| static ParseResult | parseDenseI64ArrayAttr (OpAsmParser &parser, NamedAttrList &attributes, StringRef attributeName) | 
| static void | printDenseI64ArrayAttr (OpAsmPrinter &p, StringRef attributeName, ArrayRef< int64_t > attributeValue) | 
| static void | buildIdentityRegion (OpBuilder &builder, Location loc, Region ®ion, ValueRange inputs, ValueRange outputs) | 
| static LogicalResult | verifyYield (linalg::YieldOp op, LinalgOp linalgOp) | 
| static LogicalResult | appendMangledType (llvm::raw_string_ostream &ss, Type t) | 
| static std::tuple< SmallVector< utils::IteratorType >, SmallVector< AffineMap > > | computeIteratorTypesAndIndexingMaps (OpBuilder &builder, int64_t inputRank, int64_t dim, bool allParallel=false) | 
| template<typename T> | |
| static Value | reduce (OpBuilder &builder, Location loc, Value input, Value output, int64_t dim) | 
| static Value | buildSubAndExpOp (OpBuilder &builder, Location loc, Value input, Value max, Value output, int64_t dim) | 
Produce a linalg generic that computes the second step of the softmax decomposition: res = exp(input - max), where max is the max of input on dimension dim.   | |
| static Value | buildDivOp (OpBuilder &builder, Location loc, Value numerator, Value denominator, Value output, int64_t dim) | 
| Produce a linalg generic that computes the final step of the softmax decomposition.   | |
| static bool | areResultExprsSubsetOf (AffineMap subMap, AffineMap fullMap) | 
| static bool | isBroadcasted (AffineMap explictMap, AffineMap defaultMap) | 
| Check if the user defined map is valid broadcast map.   | |
| static LogicalResult | verifyExtendedMatmulSemantic (MatmulOp matmulOp, unsigned opIndex) | 
Verifies the broadcast and transpose semantic sepecified by the explicit indexing map for the MatmulOp op for each operand specified by opIndex.   | |
| template<typename OpTy> | |
| static LogicalResult | verifyInputMaps (OpTy batchVariantMatmulOp, AffineMap opIndexingMap, AffineMap defaultIndexingMap, bool isLHS) | 
| template<typename OpTy> | |
| static LogicalResult | verifyOutputMap (OpTy batchVariantMatmulOp, AffineMap opIndexingMap) | 
| This function checks if the given AffineMap for the output of a BatchMatmulOp/BatchReduceMatmulOp has exactly the desired number of result dimensions and if the output map result dimensions are valid.   | |
| template<typename OpTy> | |
| static LogicalResult | verifyExtendedBatchVariantMatmulSemantic (OpTy batchVariantMatmulOp, unsigned opIndex) | 
| Verifies the broadcast and transpose semantic specified by the explicit indexing map for the BatchMatmulOp/BatchReduceMatmulOp op for each operand specified by opIndex.   | |
| std::optional< WinogradConv2DFmr > | mlir::linalg::getWinogradConv2DFmr (int64_t m, int64_t r) | 
| Converts the given m and r parameters to a WinogradConv2DFmr enumeration value.   | |
| std::pair< int64_t, int64_t > | mlir::linalg::getFmrFromWinogradConv2DFmr (WinogradConv2DFmr fmr) | 
| Converts the given WinogradConv2DFmr enumeration value to a pair of m and r parameters.   | |
| static FailureOr< SmallVector< SmallVector< int64_t > > > | mlir::linalg::getAffineResultPositions (ArrayAttr maps) | 
| static FailureOr< ArrayAttr > | mlir::linalg::parseIndexingMapsAttr (OpAsmParser &parser) | 
| static ArityGroupAndKind | mlir::linalg::getArityGroupAndKind (ElementwiseKind kind) | 
| template<typename OpTy, typename = std::enable_if_t<std::is_same_v<OpTy, linalg::PackOp> || std::is_same_v<OpTy, linalg::UnPackOp>>> | |
| SmallVector< int64_t > | mlir::linalg::getPackedOuterShapeWithoutTransposition (OpTy packOrUnPack) | 
| Returns the outer shape in the packed domain before applying the transposition.   | |
| template SmallVector< int64_t > | mlir::linalg::getPackedOuterShapeWithoutTransposition< PackOp > (PackOp) | 
| template SmallVector< int64_t > | mlir::linalg::getPackedOuterShapeWithoutTransposition< UnPackOp > (UnPackOp) | 
| static SmallVector< OpFoldResult > | mlir::linalg::getNewMixedTileSizes (PatternRewriter &rewriter, Type newPackedTy, SmallVector< OpFoldResult > mixedTiles) | 
| template<typename OpTy> | |
| static LogicalResult | mlir::linalg::reifyResultShapesImpl (OpTy op, OpBuilder &builder, ReifiedRankedShapedTypeDims &reifiedReturnShapes) | 
| template<typename OpTy> | |
| static DenseMap< int64_t, OpFoldResult > | mlir::linalg::getDimAndTileMappingImpl (OpTy op) | 
| template<typename OpTy> | |
| static SmallVector< OpFoldResult > | mlir::linalg::getMixedTilesImpl (OpTy op) | 
| template<typename OpTy> | |
| static SmallVector< int64_t > | mlir::linalg::getStaticTilesImpl (OpTy op) | 
| static bool | mlir::linalg::isInvalidPackingPosSpecification (ArrayRef< int64_t > dimsPos, size_t rank) | 
| Returns true if dimsPos is invalid.   | |
| template<typename OpTy> | |
| static LogicalResult | mlir::linalg::commonVerifierPackAndUnPackOp (OpTy packOrUnPack) | 
| template<typename OpTy> | |
| static PackOrUnPackTransposeResult | mlir::linalg::commonPermutationOfPackAndUnPackOp (OpTy packOrUnPackOp, ArrayRef< int64_t > innerPermutation, ArrayRef< int64_t > outerPermutation) | 
| static SmallVector< int64_t > | mlir::linalg::asShapeWithAnyValueAsDynamic (ArrayRef< OpFoldResult > ofrs) | 
| Converts OpFoldResults to int64_t shape entries, unconditionally mapping all Value's to kDynamic, even if they are arith.constant values.   | |
| static SmallVector< int64_t > | mlir::linalg::getPackOpResultTypeShape (ArrayRef< int64_t > sourceShape, ArrayRef< int64_t > innerTileSizes, ArrayRef< int64_t > innerDimsPos, ArrayRef< int64_t > outerDimsPerm) | 
| Helper for PackOp::{getResultShape,inferPackedType}.   | |
| template<typename OpTy> | |
| static bool | mlir::linalg::areTilesAndTiledDimsAllConstant (OpTy op) | 
| Returns true if the tiles and the tiled dims are constant.   | |
| static bool | mlir::linalg::hasSameInnerOuterAttribute (PackOp packOp, UnPackOp unPackOp) | 
| static bool | mlir::linalg::haveSameTiles (PackOp packOp, UnPackOp unPackOp) | 
| static bool | mlir::linalg::paddingIsNotNeeded (PackOp op) | 
| Returns true if the pack op does not need a padding value.   | |
| static bool | mlir::linalg::inferStaticShape (PackOp packOp, SmallVectorImpl< int64_t > &srcShape, SmallVectorImpl< int64_t > &destShape) | 
| Returns true if the srcShape or destShape is different from the one in packOp and populates each with the inferred static shape.   | |
| template<typename PackOrUnpackOp> | |
| static bool | mlir::linalg::isLikePadUnPad (PackOrUnpackOp packOp, RankedTensorType packedTensorType) | 
| static bool | mlir::linalg::inferStaticShape (UnPackOp op, SmallVectorImpl< int64_t > &srcShape, SmallVectorImpl< int64_t > &destShape) | 
| Returns true if the srcShape or destShape is different from the one in op and populates each with the inferred static shape.   | |
| #define GET_OP_CLASSES | 
Definition at line 2448 of file LinalgOps.cpp.
| #define GET_OP_CLASSES | 
Definition at line 2448 of file LinalgOps.cpp.
| #define GET_OP_CLASSES | 
Definition at line 2448 of file LinalgOps.cpp.
| using RegionBuilderFn | 
Definition at line 116 of file LinalgOps.cpp.
      
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Definition at line 1503 of file LinalgOps.cpp.
References mlir::Block::addArgument(), b, mlir::Region::emplaceBlock(), mlir::Block::getArguments(), mlir::AsmParser::getContext(), mlir::Operation::getResults(), mlir::OperationName::getStringRef(), mlir::Value::getType(), and result.
      
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Definition at line 2484 of file LinalgOps.cpp.
References appendMangledType(), mlir::Type::isSignlessIntOrIndexOrFloat(), and success().
Referenced by appendMangledType(), and mlir::linalg::generateLibraryCallName().
Definition at line 3592 of file LinalgOps.cpp.
References mlir::AffineMap::getResults().
Referenced by verifyExtendedMatmulSemantic(), and verifyInputMaps().
      
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Definition at line 206 of file LinalgOps.cpp.
References mlir::OperationState::addAttribute(), b, and buildStructuredOp().
      
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Definition at line 223 of file LinalgOps.cpp.
References mlir::OperationState::addAttribute(), b, and buildStructuredOp().
      
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Produce a linalg generic that computes the final step of the softmax decomposition.
numerator, denominator) outs(output) { yield n / d } Definition at line 3018 of file LinalgOps.cpp.
References b, computeIteratorTypesAndIndexingMaps(), and mlir::Value::getType().
      
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Definition at line 1070 of file LinalgOps.cpp.
References mlir::OpBuilder::createBlock(), mlir::Region::end(), mlir::Block::getArguments(), and mlir::getElementTypeOrSelf().
Referenced by buildIdentityRegion().
      
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Definition at line 1965 of file LinalgOps.cpp.
References b, and buildGenericRegion().
      
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Definition at line 189 of file LinalgOps.cpp.
References mlir::OperationState::addAttribute(), b, and buildStructuredOp().
Referenced by mlir::linalg::BatchMatmulTransposeAOp::build(), mlir::linalg::BatchMatmulTransposeAOp::build(), mlir::linalg::BatchMatmulTransposeAOp::build(), mlir::linalg::BatchMatmulTransposeBOp::build(), mlir::linalg::BatchMatmulTransposeBOp::build(), mlir::linalg::BatchMatmulTransposeBOp::build(), mlir::linalg::MatmulTransposeAOp::build(), mlir::linalg::MatmulTransposeAOp::build(), mlir::linalg::MatmulTransposeAOp::build(), mlir::linalg::MatmulTransposeBOp::build(), mlir::linalg::MatmulTransposeBOp::build(), and mlir::linalg::MatmulTransposeBOp::build().
      
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Creates a structured operation given inputs, outputs, and attributes.
The result types are derived automatically if resultTensorTypes is none. The body of the operation is filled using regionBuilder. All ods-gen created structured operations use the method to implement their builders.
Definition at line 160 of file LinalgOps.cpp.
References mlir::OperationState::addAttribute(), mlir::OperationState::addAttributes(), mlir::OperationState::addOperands(), mlir::OperationState::addRegion(), mlir::OperationState::addTypes(), mlir::OperationState::attributes, b, fillStructuredOpRegion(), mlir::NamedAttrList::getAttrs(), mlir::ValueRange::getTypes(), and TypeRange.
Referenced by buildBatchMatmulOp(), buildBatchReduceMatmulOp(), and buildMatmulOp().
      
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Produce a linalg generic that computes the second step of the softmax decomposition: res = exp(input - max), where max is the max of input on dimension dim. 
Definition at line 2991 of file LinalgOps.cpp.
References b, computeIteratorTypesAndIndexingMaps(), mlir::Value::getType(), and max().
Definition at line 1576 of file LinalgOps.cpp.
References mlir::Block::getArgument(), mlir::Block::getArguments(), mlir::Block::getNumArguments(), mlir::Operation::getNumOperands(), mlir::Operation::getOperands(), mlir::Block::getOperations(), and mlir::Block::getTerminator().
      
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Definition at line 2946 of file LinalgOps.cpp.
References mlir::AffineMap::get(), mlir::getAffineDimExpr(), mlir::Builder::getContext(), and mlir::AffineMap::getMultiDimIdentityMap().
Referenced by buildDivOp(), buildSubAndExpOp(), and reduce().
      
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Fills the region of a structured operation using the provided regionBuilder.
The method is used by both named structured ops created by ods-gen and by manually defined C++ ops. It is called by both builders and parsers and creates a block with arguments corresponding to the elemental types of inputTypes and outputTypes.
Definition at line 125 of file LinalgOps.cpp.
References b, mlir::OpBuilder::createBlock(), mlir::emitError(), mlir::getElementTypeOrSelf(), mlir::Builder::getUnknownLoc(), and mlir::OpBuilder::setInsertionPointToStart().
Referenced by buildStructuredOp(), and parseNamedStructuredOpRegion().
      
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Return a memref.dim or tensor.dim for the shape of v at dim.
Definition at line 57 of file LinalgOps.cpp.
References mlir::getAsOpFoldResult(), mlir::Builder::getIndexAttr(), and mlir::Value::getType().
      
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Definition at line 1295 of file LinalgOps.cpp.
References mlir::SideEffects::Effect::Base< DerivedEffect, Effect >::get(), mlir::SideEffects::Resource::Base< DefaultResource >::get(), and mlir::Value::getType().
      
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Definition at line 1328 of file LinalgOps.cpp.
References mlir::Speculation::NotSpeculatable, and mlir::Speculation::RecursivelySpeculatable.
      
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Returns a memref.subview or a tensor.extract_slice based on the type of the source.
Definition at line 75 of file LinalgOps.cpp.
References b, and mlir::Value::getType().
Check if the user defined map is valid broadcast map.
Here broadcast indexing maps are defined in context of corresponding default indexing maps for the given Op. This way the check becomes very simple i.e just check the number of result dims. Returns true if the explictMap is broadcasted with respect to the defaultMap.
Definition at line 3607 of file LinalgOps.cpp.
References mlir::AffineMap::getNumResults().
Referenced by verifyExtendedMatmulSemantic(), and verifyInputMaps().
      
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Common parsing used for both named structured ops created by ods-gen and by manually defined C++ ops.
Does not handle regions.
Definition at line 243 of file LinalgOps.cpp.
References mlir::NamedAttrList::append(), mlir::AsmParser::getBuilder(), mlir::AsmParser::getContext(), mlir::AsmParser::getCurrentLocation(), mlir::Builder::getDenseI32ArrayAttr(), mlir::NamedAttrList::getDictionary(), mlir::AsmParser::parseAttribute(), mlir::AsmParser::parseColonTypeList(), mlir::AsmParser::parseGreater(), mlir::AsmParser::parseLParen(), mlir::OpAsmParser::parseOperandList(), mlir::AsmParser::parseOptionalAttrDict(), mlir::AsmParser::parseOptionalKeyword(), mlir::AsmParser::parseOptionalLess(), mlir::AsmParser::parseRParen(), mlir::OpAsmParser::resolveOperands(), result, and success().
Referenced by parseDstStyleOp(), and parseNamedStructuredOp().
      
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Definition at line 1798 of file LinalgOps.cpp.
References mlir::detail::DenseArrayAttrImpl< int64_t >::parse(), mlir::AsmParser::parseEqual(), mlir::AsmParser::parseKeyword(), mlir::NamedAttrList::set(), and success().
      
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Definition at line 1447 of file LinalgOps.cpp.
References parseCommonStructuredOpParts(), mlir::AsmParser::parseOptionalAttrDict(), result, and success().
      
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Definition at line 361 of file LinalgOps.cpp.
References mlir::AsmParser::getCurrentLocation(), parseCommonStructuredOpParts(), parseNamedStructuredOpRegion(), parseNamedStructuredOpResults(), mlir::AsmParser::parseOptionalAttrDict(), result, and success().
      
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Definition at line 329 of file LinalgOps.cpp.
References mlir::AsmParser::emitError(), fillStructuredOpRegion(), mlir::AsmParser::getContext(), mlir::AsmParser::getCurrentLocation(), result, and success().
Referenced by parseNamedStructuredOp().
      
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Definition at line 354 of file LinalgOps.cpp.
References mlir::AsmParser::parseOptionalArrowTypeList(), and success().
Referenced by parseNamedStructuredOp().
      
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Definition at line 317 of file LinalgOps.cpp.
References mlir::ValueRange::getTypes().
      
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Definition at line 1846 of file LinalgOps.cpp.
      
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Definition at line 399 of file LinalgOps.cpp.
      
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Definition at line 392 of file LinalgOps.cpp.
References mlir::AsmPrinter::printOptionalArrowTypeList().
      
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Definition at line 1624 of file LinalgOps.cpp.
References mlir::Operation::getAttrs(), mlir::Operation::getName(), mlir::OperationName::getStringRef(), and mlir::OpAsmPrinter::printOptionalAttrDict().
      
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Definition at line 2968 of file LinalgOps.cpp.
References b, computeIteratorTypesAndIndexingMaps(), and mlir::Value::getType().
Referenced by addAtomicRMW(), createDecl(), and declareReduction().
      
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Verifies the broadcast and transpose semantic specified by the explicit indexing map for the BatchMatmulOp/BatchReduceMatmulOp op for each operand specified by opIndex.
Definition at line 3719 of file LinalgOps.cpp.
References success(), verifyInputMaps(), and verifyOutputMap().
Verifies the broadcast and transpose semantic sepecified by the explicit indexing map for the MatmulOp op for each operand specified by opIndex. 
Definition at line 3614 of file LinalgOps.cpp.
References areResultExprsSubsetOf(), isBroadcasted(), and success().
      
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Definition at line 3640 of file LinalgOps.cpp.
References areResultExprsSubsetOf(), mlir::AffineMap::getNumResults(), mlir::AffineMap::getResult(), isBroadcasted(), mlir::AffineExpr::isFunctionOfDim(), and success().
Referenced by verifyExtendedBatchVariantMatmulSemantic().
      
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This function checks if the given AffineMap for the output of a BatchMatmulOp/BatchReduceMatmulOp has exactly the desired number of result dimensions and if the output map result dimensions are valid.
Definition at line 3678 of file LinalgOps.cpp.
References mlir::AffineMap::getNumResults(), and success().
Referenced by verifyExtendedBatchVariantMatmulSemantic().
      
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Definition at line 2377 of file LinalgOps.cpp.
References mlir::IROperand< DerivedT, IRValueT >::get(), mlir::getElementTypeOrSelf(), mlir::Value::getType(), and success().
Referenced by verifyInitLikeSingleArgRegion().