2021-03-05 22:33:50 -05:00
==============
2021-03-06 17:26:49 -05:00
Installation
2021-03-05 22:33:50 -05:00
==============
2020-02-10 03:17:18 -05:00
2021-03-22 20:03:37 -04:00
---------------------
Binary Distributions
---------------------
2021-07-28 01:51:17 -07:00
You can install the latest stable release of Triton from pip:
2021-07-28 04:35:14 -07:00
.. code-block :: bash
2021-07-28 01:51:17 -07:00
pip install triton
Binary wheels are available for CPython 3.6-3.9 and PyPy 3.6-3.7.
And the latest nightly release:
2021-03-22 20:03:37 -04:00
.. code-block :: bash
2021-03-23 03:32:51 -04:00
pip install -U --pre triton
2021-03-22 20:03:37 -04:00
2021-03-06 17:26:49 -05:00
--------------
From Source
--------------
2021-03-05 22:33:50 -05:00
+++++++++++++++
Python Package
+++++++++++++++
You can install the Python package from source by running the following commands:
.. code-block :: bash
2021-07-29 13:39:50 -05:00
git clone https://github.com/openai/triton.git;
2022-10-13 13:27:15 -07:00
cd triton;
git submodule update --init --recursive;
cd python;
2021-07-28 01:51:17 -07:00
pip install cmake; # build time dependency
2021-03-05 22:33:50 -05:00
pip install -e .
2022-10-13 13:27:15 -07:00
Note that, if llvm-11 is not present on your system and you are on linux, the setup.py script will download the official LLVM11 static libraries link against that. For windows users, LLVM must be installed and configured in PATH.
2021-03-22 20:03:37 -04:00
2021-03-05 22:33:50 -05:00
You can then test your installation by running the unit tests:
.. code-block :: bash
2022-01-07 12:34:38 -08:00
pip install -e '.[tests]'
2021-09-29 18:32:33 -07:00
pytest -vs test/unit/
2021-03-05 22:33:50 -05:00
and the benchmarks
2020-02-10 03:17:18 -05:00
.. code-block :: bash
2021-03-05 22:33:50 -05:00
cd bench/
2021-09-12 21:11:45 -07:00
python -m run --with-plots --result-dir /tmp/triton-bench