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https://github.com/wassname/ray.git
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Eric Liang
4374ad1453
* add tf metrics * comments * fix network scopes * add doc * initial work * try with 3 virtual cpus * clean up metrics * use format string * fix trace level * back to pong * always run summary on cpu * plot intermediate and final sgd stats * add back a global step * update * add timeline * use staging area and reuse weights properly * stage at cpu * whoops, stage only the batch * clean up a bit * fix py flake * wip * create an optimizer graph per device * print timeline on 5th batch instead * print examples per second * log placement for training ops * force placement on cpu:0 * try separating weights onto different gpus * try using nccl * add cpu fallback * remove space from date * check has gpu device * fix flag config * checkpoint * wip * update * add some timing * trace loading * try cpu * revert that * remove expensive test * lint * cleanups * clean up timers * clean it up a bit * fix code for non-scalar action spaces * address some nits * fix quotes * efficient shuffling between sgd epochs
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