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https://github.com/vale981/ray
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80 lines
3.5 KiB
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80 lines
3.5 KiB
ReStructuredText
Ray
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===
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.. image:: https://travis-ci.com/ray-project/ray.svg?branch=master
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:target: https://travis-ci.com/ray-project/ray
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.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
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:target: http://ray.readthedocs.io/en/latest/?badge=latest
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Ray is a flexible, high-performance distributed execution framework.
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Ray is easy to install: ``pip install ray``
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Example Use
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-----------
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+------------------------------------------------+----------------------------------------------------+
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| **Basic Python** | **Distributed with Ray** |
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+------------------------------------------------+----------------------------------------------------+
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|.. code-block:: python |.. code-block:: python |
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| | |
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| # Execute f serially. | # Execute f in parallel. |
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| | |
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| | @ray.remote |
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| def f(): | def f(): |
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| time.sleep(1) | time.sleep(1) |
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| return 1 | return 1 |
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| | ray.init() |
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| results = [f() for i in range(4)] | results = ray.get([f.remote() for i in range(4)]) |
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+------------------------------------------------+----------------------------------------------------+
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Ray comes with libraries that accelerate deep learning and reinforcement learning development:
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- `Ray Tune`_: Hyperparameter Optimization Framework
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- `Ray RLlib`_: Scalable Reinforcement Learning
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- `Distributed Training <http://ray.readthedocs.io/en/latest/distributed_sgd.html>`__
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.. _`Ray Tune`: http://ray.readthedocs.io/en/latest/tune.html
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.. _`Ray RLlib`: http://ray.readthedocs.io/en/latest/rllib.html
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Installation
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------------
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Ray can be installed on Linux and Mac with ``pip install ray``.
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To build Ray from source or to install the nightly versions, see the `installation documentation`_.
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.. _`installation documentation`: http://ray.readthedocs.io/en/latest/installation.html
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More Information
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----------------
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- `Documentation`_
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- `Tutorial`_
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- `Blog`_
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- `Ray paper`_
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- `Ray HotOS paper`_
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.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
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.. _`Tutorial`: https://github.com/ray-project/tutorial
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.. _`Blog`: https://ray-project.github.io/
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.. _`Ray paper`: https://arxiv.org/abs/1712.05889
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.. _`Ray HotOS paper`: https://arxiv.org/abs/1703.03924
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Getting Involved
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----------------
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- Ask questions on our mailing list `ray-dev@googlegroups.com`_.
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- Please report bugs by submitting a `GitHub issue`_.
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- Submit contributions using `pull requests`_.
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.. _`ray-dev@googlegroups.com`: https://groups.google.com/forum/#!forum/ray-dev
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.. _`GitHub issue`: https://github.com/ray-project/ray/issues
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.. _`pull requests`: https://github.com/ray-project/ray/pulls
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