mirror of
https://github.com/wassname/ray.git
synced 2026-07-01 05:41:51 +08:00
be4beb19c11072a211b9a91bea0ee445e0719dd6
* Pass DPYTHON_EXECUTABLE into cmake for arrow and for ray. * Add cython to setup.py install_requires. * Revert custom code for finding python in cmake. * Correctly find arrow on CentOS. * In cmake, don't find PythonLibs, just find PYTHON_INCLUDE_DIRS. * Fix typo. * Do not use boost shared libraries when building arrow. * Add six to the setup.py install_requires because it is needed by pyarrow. * Don't link numbuf against boost_system and boost_filesystem. * Compile boost when we are on Linux. * Make numbuf find the correct boost libraries. * Only use find_package Boost on Linux, suppress output when building boost. * Changes to wheel building scripts, install cython in mac script. * Compile flatbuffers ourselves on Linux and pass it in when compiling Arrow. * Clean up build_flatbuffers.sh and build_boost.sh scripts a little. * Install cython when building linux wheel.
Implement object table notification subscriptions and switch to using Redis modules for object table. (#134)
Ray
===
.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
:target: https://travis-ci.org/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
|
Ray is a flexible, high-performance distributed execution framework.
View the `documentation`_.
.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Languages
Python
56.6%
C++
28.8%
Java
8.5%
TypeScript
1.7%
Starlark
1.4%
Other
2.8%