Kristian Hartikainen 74dc14d1fc [autoscaler] GCP node provider (#2061)
* Google Cloud Platform scaffolding

* Add minimal gcp config example

* Add googleapiclient discoveries, update gcp.config constants

* Rename and update gcp.config key pair name function

* Implement gcp.config._configure_project

* Fix the create project get project flow

* Implement gcp.config._configure_iam_role

* Implement service account iam binding

* Implement gcp.config._configure_key_pair

* Implement rsa key pair generation

* Implement gcp.config._configure_subnet

* Save work-in-progress gcp.config._configure_firewall_rules.

These are likely to be not needed at all. Saving them if we happen to
need them later.

* Remove unnecessary firewall configuration

* Update example-minimal.yaml configuration

* Add new wait_for_compute_operation, rename old wait_for_operation

* Temporarily rename autoscaler tags due to gcp incompatibility

* Implement initial gcp.node_provider.nodes

* Still missing filter support

* Implement initial gcp.node_provider.create_node

* Implement another compute wait
  operation (wait_For_compute_zone_operation). TODO: figure out if we
  can remove the function.

* Implement initial gcp.node_provider._node and node status functions

* Implement initial gcp.node_provider.terminate_node

* Implement node tagging and ip getter methods for nodes

* Temporarily rename tags due to gcp incompatibility

* Tiny tweaks for autoscaler.updater

* Remove unused config from gcp node_provider

* Add new example-full example to gcp, update load_gcp_example_config

* Implement label filtering for gcp.node_provider.nodes

* Revert unnecessary change in ssh command

* Revert "Temporarily rename tags due to gcp incompatibility"

This reverts commit e2fe634c5d11d705c0f5d3e76c80c37394bb23fb.

* Revert "Temporarily rename autoscaler tags due to gcp incompatibility"

This reverts commit c938ee435f4b75854a14e78242ad7f1d1ed8ad4b.

* Refactor autoscaler tagging to support multiple tag specs

* Remove missing cryptography imports

* Update quote function import

* Fix threading issue in gcp.config with the compute discovery object

* Add gcs support for log_sync

* Fix the labels/tags naming discrepancy

* Add expanduser to file_mounts hashing

* Fix gcp.node_provider.internal_ip

* Add uuid to node name

* Remove 'set -i' from updater ssh command

* Also add TODO with the context and reason for the change.

* Update ssh key creation in autoscaler.gcp.config

* Fix wait_for_compute_zone_operation's threading issue

Google discovery api's compute object is not thread safe, and thus
needs to be recreated for each thread. This moves the
`wait_for_compute_zone_operation` under `autoscaler.gcp.config`, and
adds compute as its argument.

* Address pr feedback from @ericl

* Expand local file mount paths in NodeUpdater

* Add ssh_user name to key names

* Update updater ssh to attempt 'set -i' and fall back if that fails

* Update gcp/example-full.yaml

* Fix wait crm operation in gcp.config

* Update gcp/example-minimal.yaml to match aws/example-minimal.yaml

* Fix gcp/example-full.yaml comment indentation

* Add gcp/example-full.yaml to setup files

* Update example-full.yaml command

* Revert "Refactor autoscaler tagging to support multiple tag specs"

This reverts commit 9cf48409ca2e5b66f800153853072c706fa502f6.

* Update tag spec to only use characters [0-9a-z_-]

* Change the tag values to conform gcp spec

* Add project_id in the ssh key name

* Replace '_' with '-' in autoscaler tag names

* Revert "Update updater ssh to attempt 'set -i' and fall back if that fails"

This reverts commit 23a0066c5254449e49746bd5e43b94b66f32bfb4.

* Revert "Remove 'set -i' from updater ssh command"

This reverts commit 5fa034cdf79fa7f8903691518c0d75699c630172.

* Add fallback to `set -i` in force_interactive command

* Update autoscaler tests to match current implementation

* Update GCPNodeProvider.create_node to include hash in instance name

* Add support for creating multiple instance on one create_node call

* Clean TODOs

* Update styles

* Replace single quotes with double quotes
* Some minor indentation fixes etc.

* Remove unnecessary comment. Fix indentation.

* Yapfify files that fail flake8 test

* Yapfify more files

* Update project_id handling in gcp node provider

* temporary yapf mod

* Revert "temporary yapf mod"

This reverts commit b6744e4e15d4d936d1a14f4bf155ed1d3bb14126.

* Fix autoscaler/updater.py lint error, remove unused variable
2018-05-31 09:00:03 -07:00
2018-05-20 16:15:06 -07:00
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2016-11-22 17:04:24 -08:00

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
S
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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