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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.
57 lines
1,019 B
ReStructuredText
57 lines
1,019 B
ReStructuredText
The Ray API
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===========
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.. autofunction:: ray.init
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.. autofunction:: ray.remote
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.. autofunction:: ray.get
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.. autofunction:: ray.wait
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.. autofunction:: ray.put
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.. autofunction:: ray.get_gpu_ids
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.. autofunction:: ray.get_resource_ids
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.. autofunction:: ray.get_webui_url
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.. autofunction:: ray.shutdown
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.. autofunction:: ray.register_custom_serializer
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.. autofunction:: ray.profile
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.. autofunction:: ray.method
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The Ray Command Line API
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------------------------
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.. click:: ray.scripts.scripts:start
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:prog: ray start
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:show-nested:
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.. click:: ray.scripts.scripts:stop
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:prog: ray stop
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:show-nested:
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.. click:: ray.scripts.scripts:create_or_update
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:prog: ray up
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:show-nested:
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.. click:: ray.scripts.scripts:teardown
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:prog: ray down
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:show-nested:
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.. click:: ray.scripts.scripts:exec_cmd
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:prog: ray exec
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:show-nested:
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.. click:: ray.scripts.scripts:attach
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:prog: ray attach
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:show-nested:
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.. click:: ray.scripts.scripts:get_head_ip
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:prog: ray get_head_ip
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:show-nested:
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