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* WIP: removing OL, OI, TT on client exit; no saving yet. * ray_redis_module.cc: update header comment. * Cleanup: just the removal. * Reformat via yapf: use pep8 style instead of google. * Checkpoint addressing comments (partially) * Add 'b' marker before strings (py3 compat) * Add MonitorTest. * Use `isort` to sort imports. * Remove some loggings * Fix flake8 noqa marker runtest.py * Try to separate tests out to monitor_test.py * Rework cleanup algorithm: correct logic * Extend tests to cover multi-shard cases * Add some small comments and formatting changes.
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.
Installation
------------
- Ray can be installed on Linux and Mac with ``pip install ray``.
- To build Ray from source, see the instructions for `Ubuntu`_ and `Mac`_.
.. _`Ubuntu`: http://ray.readthedocs.io/en/latest/install-on-ubuntu.html
.. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html
More Information
----------------
- `Mailing List`_
- `Documentation`_
- `Blog`_
- `HotOS paper`_
.. _`Mailing List`: https://groups.google.com/forum/#!forum/ray-dev
.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
.. _`Blog`: https://ray-project.github.io/
.. _`HotOS paper`: https://arxiv.org/abs/1703.03924
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.
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