mirror of https://github.com/wassname/ray.git synced 2026-07-08 08:16:42 +08:00

T

Robert Nishihara d19f7ad853 Implement plasma_release. (#42 )

* Implement plasma_release, enabling clients to indicate when they are no longer using an object.

* Call plasma_release for each plasma_create call, and call plasma_release from the manager.

* Fixes.

* Create client specific contexts for plasma_store callbacks.

* More changes.

* Fixes.

* Cleanup lists of clients using objects when a client disconnects.

* Make names parallel.

2016-10-21 00:47:34 -07:00

.travis

fix compiler warnings (#17 )

2016-09-10 17:47:37 -07:00

build

initial version of object store

2016-08-14 01:39:44 -07:00

common @ da3a3127e0

Plasma fetch (#36 )

2016-10-18 18:20:59 -07:00

doc

Use doxygen for generating documentation (#29 )

2016-09-28 18:59:00 -07:00

lib/python

Implement plasma_release. (#42 )

2016-10-21 00:47:34 -07:00

src

Implement plasma_release. (#42 )

2016-10-21 00:47:34 -07:00

test

Implement plasma_release. (#42 )

2016-10-21 00:47:34 -07:00

thirdparty

fix compiler warnings (#17 )

2016-09-10 17:47:37 -07:00

.clang-format

Run clang-format and check in Travis CI (#14 )

2016-09-08 15:28:27 -07:00

.gitignore

Use dlmalloc to manage shared memory (#15 )

2016-09-10 16:39:24 -07:00

.gitmodules

Stephanie's plasma refactor (#31 )

2016-10-03 18:29:18 -07:00

.travis.yml

Plasma fetch (#36 )

2016-10-18 18:20:59 -07:00

LICENSE

Initial commit

2016-08-13 15:20:19 -07:00

Makefile

Plasma fetch (#36 )

2016-10-18 18:20:59 -07:00

README.md

Run clang-format and check in Travis CI (#14 )

2016-09-08 15:28:27 -07:00

setup-env.sh

Basic Python unit tests.

2016-08-16 17:17:11 -07:00

README.md

Plasma

Plasma is an experimental in-memory object manager. It is under development and not ready for general use.

clang-format

Run .travis/git-clang-format to automatically format changes in the checkout.

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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