wassname/ray: 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. - ray

mirror of https://github.com/wassname/ray.git synced 2026-07-10 22:34:08 +08:00

T

Alexey Tumanov fc885bd918 Adding basic support for a user-interpretable resource label (#761 )

* adding support for the user-interpretable label(UIR)

* more plumbing for num_uirs further upstream; set to infty when specified on cmd line

* pass default num_uirs for actors; update GlobalStateAPI

* support num_uirs in ray.init()

* local scheduler resource accounting: support num_uirs; prep for vectorized resource accounting

* global scheduler test updated

* Fix bug introduced by rebase.

* Rename UIR -> CustomResource and add test.

* Small changes and use constexpr instead of macros.

* Linting and some renaming.

* Reorder some code.

* Remove cpus_in_use and fix bug.

* Add another test and make a small change.

* Rephrase documentation about feature stability.

2017-08-08 02:53:59 -07:00

.travis

Be more precise which boost dependencies are needed. (#823 )

2017-08-07 20:02:48 -07:00

cmake/Modules

help cmake find right python interpreter on mac (#251 )

2016-07-11 12:16:10 -07:00

doc

Be more precise which boost dependencies are needed. (#823 )

2017-08-07 20:02:48 -07:00

docker

Be more precise which boost dependencies are needed. (#823 )

2017-08-07 20:02:48 -07:00

examples

Test example applications and rllib in jenkins tests. (#707 )

2017-07-16 18:51:33 +00:00

python

Adding basic support for a user-interpretable resource label (#761 )

2017-08-08 02:53:59 -07:00

site

Add note about adaptively launching tasks in blog post. (#582 )

2017-05-20 23:19:42 -07:00

src

Adding basic support for a user-interpretable resource label (#761 )

2017-08-08 02:53:59 -07:00

test

Adding basic support for a user-interpretable resource label (#761 )

2017-08-08 02:53:59 -07:00

vsprojects

Windows compatibility (#57 )

2016-11-22 17:04:24 -08:00

.clang-format

Implement object table notification subscriptions and switch to using Redis modules for object table. (#134 )

2016-12-18 18:19:02 -08:00

.editorconfig

Update Windows support (#317 )

2016-07-28 13:11:13 -07:00

.gitignore

Switch Python indentation from 2 spaces to 4 spaces. (#726 )

2017-07-13 21:53:57 +00:00

.travis.yml

Switch Python indentation from 2 spaces to 4 spaces. (#726 )

2017-07-13 21:53:57 +00:00

build-docker.sh

Fix build-docker.sh bug (#515 )

2017-05-06 18:57:08 -07:00

build.sh

Add correct Python executable to Path when building arrow. (#820 )

2017-08-07 14:47:34 -07:00

CMakeLists.txt

Fix installation instruction for ubuntu 14.04 (#805 )

2017-08-02 18:14:14 -07:00

LICENSE

[rllib] Basic port of baselines/deepq to rllib (#709 )

2017-07-07 18:37:00 +00:00

pylintrc

adding pylint (#233 )

2016-07-08 12:39:11 -07:00

Ray.sln

Windows compatibility (#57 )

2016-11-22 17:04:24 -08:00

README.rst

Expand API documentation. (#375 )

2017-03-17 16:48:25 -07:00

README.rst

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.

Readme Multiple Licenses 111 MiB

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