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Eric Liang 079c4e482a ray exec and ray attach commands (#2560 )

ray exec CLUSTER CMD [--screen] [--start] [--stop]
ray attach CLUSTER [--start]

Example:
ray exec sgd.yaml 'source activate tensorflow_p27 && cd ~/ray/python/ray/rllib && ./train.py --run=PPO --env=CartPole-v0' --screen --start --stop

This will in one command create a cluster and run the command on it in a screen session. The screen can later be attached to via ray attach. After the command finishes, the cluster workers will be terminated and the head node stopped.

2018-08-15 14:31:50 -07:00

_build

Get Sphinx infrastructure in place

2016-07-01 18:21:02 -07:00

source

ray exec and ray attach commands (#2560 )

2018-08-15 14:31:50 -07:00

make.bat

Get Sphinx infrastructure in place

2016-07-01 18:21:02 -07:00

Makefile

Move documentation to ReadTheDocs. (#326 )

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

README.md

Only install ray python packages. (#330 )

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

requirements-doc.txt

Change ray.worker.cleanup -> ray.shutdown and improve API documentation. (#2374 )

2018-07-12 12:00:00 -07:00

README.md

Ray Documentation

To compile the documentation, run the following commands from this directory. Note that Ray must be installed first.

pip install -r requirements-doc.txt
make html
open _build/html/index.html

To test if there are any build errors with the documentation, do the following.

sphinx-build -W -b html -d _build/doctrees source _build/html