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| void | mlir::vector::buildTerminatedBody (OpBuilder &builder, Location loc) |
| | Default callback to build a region with a 'vector.yield' terminator with no arguments. More...
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| BroadcastableToResult | mlir::vector::isBroadcastableTo (Type srcType, VectorType dstVectorType, std::pair< int, int > *mismatchingDims=nullptr) |
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| void | mlir::vector::populateVectorToVectorCanonicalizationPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of vector-to-vector canonicalization patterns. More...
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| void | mlir::vector::populateShapeCastFoldingPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of vector.shape_cast folding patterns. More...
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| void | mlir::vector::populateCastAwayVectorLeadingOneDimPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of leading one dimension removal patterns. More...
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| void | mlir::vector::populateVectorTransferDropUnitDimsPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of one dimension removal patterns. More...
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| void | mlir::vector::populateFlattenVectorTransferPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of patterns to flatten n-D vector transfers on contiguous memref. More...
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| void | mlir::vector::populateBubbleVectorBitCastOpPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collect a set of patterns that bubble up/down bitcast ops. More...
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| void | mlir::vector::populateVectorTransferLoweringPatterns (RewritePatternSet &patterns, std::optional< unsigned > maxTransferRank=std::nullopt, PatternBenefit benefit=1) |
| | Collect a set of transfer read/write lowering patterns. More...
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| void | mlir::vector::populateVectorMaskMaterializationPatterns (RewritePatternSet &patterns, bool force32BitVectorIndices, PatternBenefit benefit=1) |
| | These patterns materialize masks for various vector ops such as transfers. More...
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| void | mlir::vector::populateVectorBroadcastLoweringPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collects patterns to progressively lower vector.broadcast ops on high-D vectors to low-D vector ops. More...
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| void | mlir::vector::populateVectorMaskOpLoweringPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collects patterns to progressively lower vector mask ops into elementary selection and insertion ops. More...
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| void | mlir::vector::populateVectorShapeCastLoweringPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collects patterns to progressively lower vector.shape_cast ops on high-D vectors into 1-D/2-D vector ops by generating data movement extract/insert ops. More...
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| void | mlir::vector::populateScalarVectorTransferLoweringPatterns (RewritePatternSet &patterns, PatternBenefit benefit=1) |
| | Collects patterns that lower scalar vector transfer ops to memref loads and stores when beneficial. More...
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| IntegerType | mlir::vector::getVectorSubscriptType (Builder &builder) |
| | Returns the integer type required for subscripts in the vector dialect. More...
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| ArrayAttr | mlir::vector::getVectorSubscriptAttr (Builder &b, ArrayRef< int64_t > values) |
| | Returns an integer array attribute containing the given values using the integer type required for subscripts in the vector dialect. More...
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| Value | mlir::vector::getVectorReductionOp (arith::AtomicRMWKind op, OpBuilder &builder, Location loc, Value vector) |
| | Returns the value obtained by reducing the vector into a scalar using the operation kind associated with a binary AtomicRMWKind op. More...
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| bool | mlir::vector::isLastMemrefDimUnitStride (MemRefType type) |
| | Return true if the last dimension of the MemRefType has unit stride. More...
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| AffineMap | mlir::vector::getTransferMinorIdentityMap (ShapedType shapedType, VectorType vectorType) |
| | Build the default minor identity map suitable for a vector transfer. More...
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| bool | mlir::vector::checkSameValueRAW (TransferWriteOp defWrite, TransferReadOp read) |
| | Return true if the transfer_write fully writes the data accessed by the transfer_read. More...
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| bool | mlir::vector::checkSameValueWAW (TransferWriteOp write, TransferWriteOp priorWrite) |
| | Return true if the write op fully over-write the priorWrite transfer_write op. More...
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| bool | mlir::vector::isDisjointTransferIndices (VectorTransferOpInterface transferA, VectorTransferOpInterface transferB) |
| | Same behavior as isDisjointTransferSet but doesn't require the operations to have the same tensor/memref. More...
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| bool | mlir::vector::isDisjointTransferSet (VectorTransferOpInterface transferA, VectorTransferOpInterface transferB) |
| | Return true if we can prove that the transfer operations access disjoint memory. More...
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| Value | mlir::vector::makeArithReduction (OpBuilder &b, Location loc, CombiningKind kind, Value v1, Value v2) |
| | Return the result value of reducing two scalar/vector values with the corresponding arith operation. More...
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| bool | mlir::vector::isParallelIterator (Attribute attr) |
| | Returns true if attr has "parallel" iterator type semantics. More...
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| bool | mlir::vector::isReductionIterator (Attribute attr) |
| | Returns true if attr has "reduction" iterator type semantics. More...
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| void | mlir::vector::createMaskOpRegion (OpBuilder &builder, Operation *maskableOp) |
| | Create the vector.yield-ended region of a vector.mask op with maskableOp as masked operation. More...
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| Operation * | mlir::vector::maskOperation (RewriterBase &rewriter, Operation *maskableOp, Value mask) |
| | Creates a vector.mask operation around a maskable operation. More...
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Include dependency graph for VectorOps.h:
