mirror of https://github.com/wassname/ray.git synced 2026-06-27 20:06:31 +08:00

T

Robert Nishihara 53dffe0bf2 Use flatbuffers for some messages from Redis. (#341 )

* Compile the Ray redis module with C++.

* Redo parsing of object table notifications with flatbuffers.

* Update redis module python tests.

* Redo parsing of task table notifications with flatbuffers.

* Fix linting.

* Redo parsing of db client notifications with flatbuffers.

* Redo publishing of local scheduler heartbeats with flatbuffers.

* Fix linting.

* Remove usage of fixed-width formatting of scheduling state in channel name.

* Reply with flatbuffer object to task table queries, also simplify redis string to flatbuffer string conversion.

* Fix linting and tests.

* fix

* cleanup

* simplify logic in ReplyWithTask

2017-03-10 18:35:25 -08:00

.travis

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

cmake/Modules

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

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

doc

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

docker

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

examples

Add policy gradient example. (#344 )

2017-03-07 23:42:44 -08:00

python

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

scripts

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

src

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

test

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -08:00

vsprojects

Windows compatibility (#57 )

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

webui

Use flatbuffers for some messages from Redis. (#341 )

2017-03-10 18:35:25 -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

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

.travis.yml

Properly mock ray submodules when building documentation. (#337 )

2017-03-04 23:02:56 -08:00

build-docker.sh

Docker Updates (#308 )

2017-02-28 18:57:51 -08:00

build.sh

Convert task_spec to flatbuffers (#255 )

2017-03-05 02:05:02 -08:00

CMakeLists.txt

Rename photon -> local scheduler. (#322 )

2017-02-27 12:24:07 -08:00

LICENSE

Change license to Apache 2 (#20 )

2016-11-01 23:19:06 -07:00

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.md

Move documentation to ReadTheDocs. (#326 )

2017-02-27 21:14:31 -08:00

README.md

Ray

Ray is an experimental distributed execution engine. It is under development and not ready to be used.

The goal of Ray is to make it easy to write machine learning applications that run on a cluster while providing the development and debugging experience of working on a single machine.

View the documentation.

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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