mirror of
https://github.com/wassname/ray.git
synced 2026-07-04 04:27:36 +08:00
Praveen Palanisamy
357c0d6156
* Added checkpoint_at_end option. To fix #2740 * Added ability to checkpoint at the end of trials if the option is set to True * checkpoint_at_end option added; Consistent with Experience and Trial runner * checkpoint_at_end option mentioned in the tune usage guide * Moved the redundant checkpoint criteria check out of the if-elif * Added note that checkpoint_at_end is enabled only when checkpoint_freq is not 0 * Added test case for checkpoint_at_end * Made checkpoint_at_end have an effect regardless of checkpoint_freq * Removed comment from the test case * Fixed the indentation * Fixed pep8 E231 * Handled cases when trainable does not have _save implemented * Constrained test case to a particular exp using the MockAgent * Revert "Constrained test case to a particular exp using the MockAgent" This reverts commit e965a9358ec7859b99a3aabb681286d6ba3c3906. * Revert "Handled cases when trainable does not have _save implemented" This reverts commit 0f5382f996ff0cbf3d054742db866c33494d173a. * Simpler test case for checkpoint_at_end * Preserved bools from loosing their actual value * Revert "Moved the redundant checkpoint criteria check out of the if-elif" This reverts commit 783005122902240b0ee177e9e206e397356af9c5. * Fix linting error.
Ray
===
.. image:: https://travis-ci.com/ray-project/ray.svg?branch=master
:target: https://travis-ci.com/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
|
Ray is a flexible, high-performance distributed execution framework.
Ray is easy to install: ``pip install ray``
Example Use
-----------
+------------------------------------------------+----------------------------------------------------+
| **Basic Python** | **Distributed with Ray** |
+------------------------------------------------+----------------------------------------------------+
|.. code-block:: python |.. code-block:: python |
| | |
| # Execute f serially. | # Execute f in parallel. |
| | |
| | @ray.remote |
| def f(): | def f(): |
| time.sleep(1) | time.sleep(1) |
| return 1 | return 1 |
| | |
| | |
| | ray.init() |
| results = [f() for i in range(4)] | results = ray.get([f.remote() for i in range(4)]) |
+------------------------------------------------+----------------------------------------------------+
Ray comes with libraries that accelerate deep learning and reinforcement learning development:
- `Ray Tune`_: Hyperparameter Optimization Framework
- `Ray RLlib`_: Scalable Reinforcement Learning
.. _`Ray Tune`: http://ray.readthedocs.io/en/latest/tune.html
.. _`Ray RLlib`: http://ray.readthedocs.io/en/latest/rllib.html
Installation
------------
Ray can be installed on Linux and Mac with ``pip install ray``.
To build Ray from source or to install the nightly versions, see the `installation documentation`_.
.. _`installation documentation`: http://ray.readthedocs.io/en/latest/installation.html
More Information
----------------
- `Documentation`_
- `Tutorial`_
- `Blog`_
- `Ray paper`_
- `Ray HotOS paper`_
.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
.. _`Tutorial`: https://github.com/ray-project/tutorial
.. _`Blog`: https://ray-project.github.io/
.. _`Ray paper`: https://arxiv.org/abs/1712.05889
.. _`Ray HotOS paper`: https://arxiv.org/abs/1703.03924
Getting Involved
----------------
- Ask questions on our mailing list `ray-dev@googlegroups.com`_.
- Please report bugs by submitting a `GitHub issue`_.
- Submit contributions using `pull requests`_.
.. _`ray-dev@googlegroups.com`: https://groups.google.com/forum/#!forum/ray-dev
.. _`GitHub issue`: https://github.com/ray-project/ray/issues
.. _`pull requests`: https://github.com/ray-project/ray/pulls