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Zhijun FuandRobert Nishihara
382b138fc7
Fix some code issues found by code scanning tool: **1. Macro compares unsigned to 0(NO_EFFECT)** CWE570: An unsigned value can never be less than 0 This greater-than-or-equal-to-zero comparison of an unsigned value is always true. "this->create_buffer_state_[object_id].num_seals_remaining >= 0UL". ~/ray/src/ray/object_manager/object_buffer_pool.cc: ray::ObjectBufferPool::SealChunk(const ray::UniqueID &, unsigned long) **2. Inferred misuse of enum(MIXED_ENUMS)** CWE398: An integer expression which was inferred to have an enum type is mixed with a different enum type This case, "static_cast(ray::object_manager::protocol::MessageType::PushRequest)", implies the effective type of "message_type" is "ray::object_manager::protocol::MessageType". ~/ray/src/ray/object_manager/object_manager.cc: ray::ObjectManager::ProcessClientMessage(std::shared_ptr> &, long, const unsigned char *)
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|
**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:
- `Tune`_: Hyperparameter Optimization Framework
- `RLlib`_: Scalable Reinforcement Learning
- `Distributed Training <http://ray.readthedocs.io/en/latest/distributed_sgd.html>`__
.. _`Tune`: http://ray.readthedocs.io/en/latest/tune.html
.. _`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