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62 lines
2.9 KiB
ReStructuredText
62 lines
2.9 KiB
ReStructuredText
Ray
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===
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.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
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:target: https://travis-ci.org/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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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, see the instructions for `Ubuntu`_ and `Mac`_.
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.. _`Ubuntu`: http://ray.readthedocs.io/en/latest/install-on-ubuntu.html
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.. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html
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Example Program
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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:: python |.. code-block:: python |
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| | |
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| import time | import time |
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| | import ray |
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| | |
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| | ray.init() |
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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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| | |
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| # Execute f serially. | # Execute f in parallel. |
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| results = [f() for i in range(4)] | object_ids = [f.remote() for i in range(4)] |
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| | results = ray.get(object_ids) |
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+------------------------------------------------+----------------------------------------------+
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More Information
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----------------
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- `Mailing List`_
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- `Documentation`_
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- `Tutorial`_
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- `Blog`_
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- `Ray HotOS paper`_
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.. _`Mailing List`: https://groups.google.com/forum/#!forum/ray-dev
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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 HotOS paper`: https://arxiv.org/abs/1703.03924
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