mirror of
https://github.com/vale981/ray
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* Initial conversion * Further changes * fixes * some changes * Fixes * Added data pipeline * Added updates to cifar * Currently borken need sep pr * Added test for retriving variables from an optimizer * Removed FlAG ref in environment variables * Added comments to test * Addressed comments * Added updates * Made further changes for tfutils * Fixed finalized bug * Removed ipython * Added accuracy printing * Temp commit * added fixes * changes * Added writing to file * Fixes for gpus * Cleaned up code * Temp commit * Gpu support fully implemented * Updated to use num_gpus for actors * Finished testing gpus implementation * Changed to be more in line with origin implementation * Updated test to use actors * Added support for cpu only systems * Now works with no cpus * Minor changes and some documentation.
48 lines
831 B
ReStructuredText
48 lines
831 B
ReStructuredText
===
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Ray
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===
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*Ray is a low-latency distributed execution framework targeted at machine
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learning and reinforcement learning applications.*
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.. toctree::
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:maxdepth: 1
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:caption: Installation
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install-on-ubuntu.md
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install-on-macosx.md
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install-on-docker.md
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installation-troubleshooting.md
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.. toctree::
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:maxdepth: 1
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:caption: Getting Started
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tutorial.md
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actors.rst
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api.rst
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.. toctree::
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:maxdepth: 1
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:caption: Examples
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example-hyperopt.rst
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example-resnet.rst
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example-lbfgs.md
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example-rl-pong.md
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using-ray-with-tensorflow.md
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.. toctree::
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:maxdepth: 1
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:caption: Design
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remote-functions.md
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serialization.md
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.. toctree::
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:maxdepth: 1
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:caption: Cluster Usage
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using-ray-on-a-cluster.md
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using-ray-on-a-large-cluster.md
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using-ray-and-docker-on-a-cluster.md
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