[MLIR][Vector] Add warp distribution for `vector.step` op (#155425) This PR adds a distribution pattern for [`vector.step`](https://mlir.llvm.org/docs/Dialects/Vector/#vectorstep-vectorstepop) op. The result of the step op is a vector containing a sequence `[0,1,...,N-1]`. For the warp distribution, we consider a vector with `N == warp_size` (think SIMD). Distributing it to SIMT, means that each lane is represented by a thread/lane id scalar. More complex cases with the support for warp size multiples (e.g., `[0,1,...,2*N-1]`) require additional layout information to be handled properly. Such support may be added later. The lane id scalar is wrapped into a `vector<1xindex>` to emulate the sequence distribution result. Other than that, the distribution is similar to that of `arith.constant`.
Welcome to the LLVM project!
This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.
C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
Consult the Getting Started with LLVM page for information on building and running LLVM.
For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.
The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.