Christopher Bate cafb6284d1 [mlir][VectorToGPU] Update memref stride preconditions on nvgpu.mma.sync path
This change removes the requirement that the row stride be statically known when
converting `vector.transfer_read` and `vector.transfer_write` to distributed
SIMT operations in the `nvgpu` lowering path. It also adds a check to verify
that the last dimension of the source memref is statically known to have stride
1 since this is assumed in the conversion logic.  No other change should be
required since the generated `vector.load` operations are never created across
dimensions other than the last. The routines for checking preconditions on
`vector.transfer_read/write` are moved to under nvgpu utilities.

The change is NFC with respect to the GPU dialect lowering path.

Reviewed By: ThomasRaoux

Differential Revision: https://reviews.llvm.org/D155753
2023-09-14 13:51:42 -06:00
2023-09-13 12:24:46 -07:00
2023-07-25 13:58:49 +02:00
2023-04-25 23:15:07 -07:00

The LLVM Compiler Infrastructure

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.

Getting the Source Code and Building LLVM

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.

Getting in touch

Join the LLVM Discourse forums, Discord chat, or #llvm IRC channel on OFTC.

The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.

Description
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Readme 5.7 GiB
Languages
LLVM 42.4%
C++ 30.1%
C 12.8%
Assembly 9.8%
MLIR 1.6%
Other 2.9%