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| Value | mlir::vector::createOrFoldDimOp (OpBuilder &b, Location loc, Value source, int64_t dim) |
| | Helper function that creates a memref::DimOp or tensor::DimOp depending on the type of source. More...
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| FailureOr< std::pair< int, int > > | mlir::vector::isTranspose2DSlice (vector::TransposeOp op) |
| | Returns two dims that are greater than one if the transposition is applied on a 2D slice. More...
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| bool | mlir::vector::isContiguousSlice (MemRefType memrefType, VectorType vectorType) |
| | Return true if vectorType is a contiguous slice of memrefType. More...
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| std::optional< StaticTileOffsetRange > | mlir::vector::createUnrollIterator (VectorType vType, int64_t targetRank=1) |
| | Returns an iterator for all positions in the leading dimensions of vType up to the targetRank. More...
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| SmallVector< OpFoldResult > | mlir::vector::getMixedSizesXfer (bool hasTensorSemantics, Operation *xfer, RewriterBase &rewriter) |
| | A wrapper for getMixedSizes for vector.transfer_read and vector.transfer_write Ops (for source and destination, respectively). More...
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| bool | mlir::vector::isLinearizableVector (VectorType type) |
| | Returns true if the input Vector type can be linearized. More...
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| Value | mlir::vector::createReadOrMaskedRead (OpBuilder &builder, Location loc, Value source, ArrayRef< int64_t > readShape, Value padValue, bool useInBoundsInsteadOfMasking=true) |
| | Create a TransferReadOp from source with static shape readShape. More...
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| LogicalResult | mlir::vector::isValidMaskedInputVector (ArrayRef< int64_t > shape, ArrayRef< int64_t > inputVectorSizes) |
| | Returns success if inputVectorSizes is a valid masking configuraion for given shape, i.e., it meets: More...
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