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* Dispatch regular and actor tasks when resources become available. * Make actor methods do resource bookkeeping and add test. * Remove unnecessary field. * Fix linting. * Fix actor test. * Maintain set of actors with pending tasks to speed up task dispatch. * Exit early from task dispatch if there are no resources available. * Fix linting. * Fix error. * Fix bug related to iterator invalidation. * When an actor is removed, remove it from the set of actors with pending tasks.
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
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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.
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