2f80a987768ef31f6b3e463b993b18007546eb43
Recently there has been more and more report about installation issues: - Installing Triton before upgrading pytorch can create some issues because Triton uses some torch headers - llvm-10-dev not available on some platform; llvm-11-dev not available on e.g. Ubuntu. absence of nightly builds This PR should fix all these issues. Some CMake tricks are used to download and install llvm at build time. Triton Python bindings were modified to remove dependence on pytorch ops. Midnight CI job added to generate binary wheels for all Triton version and update them on pypi's new triton-nightly project. This PR will also make it very easy to use LLVM forks in the future for whatever needs we have.
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
[BUILD] Added automatic nightly build releases to pip in CI; removed build-time dependence on LLVM and PyTorch (#77)
Triton
This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives. The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs.
The foundations of this project are described in the following MAPL2019 publication: Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations. Please consider citing us if you use our work!
The official documentation contains installation instructions and tutorials.
Compatibility
Supported Platforms:
- Linux
Supported Hardware:
- NVIDIA GPUs (Compute Capability 7.0+)
- Under development: AMD GPUs, CPUs
Description
Languages
C++
49.7%
Python
35.3%
MLIR
13.3%
CMake
1.7%