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This separates concerns related to (a) defining efficient operations on Representative of what exists today but rather illustrates the layering of This diagram is not to be taken as set in stone and The codegen paths and focus on the payload-carrying ops that operate on std and The following diagram seeks to isolate vector dialects from the complexity of The following diagram, recently presented with theĬaptures the current codegen paths implemented in MLIR in the various existing Positioning in the Codegen Infrastructure ¶ Proposal but rather a textual documentation of existing MLIR components along Memref (a.k.a buffers) and operations on vector values. These abstractions serve to separate concerns between operations on Rewrites and lowerings that enable targeting specific instructions on concrete MLIR today and operate on ssa-values of type vector along with pattern This document discusses retargetable abstractions that exist in Is a structured type, that carries semantic information useful for A generic, retargetable, higher-order vector type ( n-D with n > 1) MLIR supports multi-dimensional vector types and custom operations on those vector.warp_execute_on_lane_0 (::mlir::vector::WarpExecuteOnLane0Op).vector.type_cast (::mlir::vector::TypeCastOp).ansfer_write (::mlir::vector::TransferWriteOp).ansfer_read (::mlir::vector::TransferReadOp).vector.shuffle (::mlir::vector::ShuffleOp).vector.shape_cast (::mlir::vector::ShapeCastOp).vector.scatter (::mlir::vector::ScatterOp).vector.reshape (::mlir::vector::ReshapeOp).vector.reduction (::mlir::vector::ReductionOp).vector.outerproduct (::mlir::vector::OuterProductOp).vector.multi_reduction (::mlir::vector::MultiDimReductionOp).vector.matrix_multiply (::mlir::vector::MatmulOp).vector.maskedstore (::mlir::vector::MaskedStoreOp).vector.maskedload (::mlir::vector::MaskedLoadOp).vector.insert_strided_slice (::mlir::vector::InsertStridedSliceOp).vector.insert (::mlir::vector::InsertOp).vector.insertelement (::mlir::vector::InsertElementOp).vector.gather (::mlir::vector::GatherOp).vector.flat_transpose (::mlir::vector::FlatTransposeOp).vector.extract_strided_slice (::mlir::vector::ExtractStridedSliceOp).vector.extract (::mlir::vector::ExtractOp).vector.extractelement (::mlir::vector::ExtractElementOp).vector.expandload (::mlir::vector::ExpandLoadOp).

vector.create_mask (::mlir::vector::CreateMaskOp).

ntract (::mlir::vector::ContractionOp).

nstant_mask (::mlir::vector::ConstantMaskOp).

pressstore (::mlir::vector::CompressStoreOp).

vector.broadcast (::mlir::vector::BroadcastOp).

vector.bitcast (::mlir::vector::BitCastOp).

vector.vscale (::mlir::vector::VectorScaleOp).

Relationship to LLVM matrix type proposal.

Constraints Inherited from LLVM (see LangRef).

Alternatives For Lowering an n-D Vector Type to LLVM.

The Big Out-Of-Scope Piece: Automatic Vectorization.

Hardware as vector Machines of Minimum Granularity.Virtual Vector to Hardware Vector Lowering.Short Description of the Existing Infrastructure.Components of a Generic Retargetable Vector-Level Dialect.Positioning in the Codegen Infrastructure.