mirror of
https://github.com/vale981/ray
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188 lines
4.9 KiB
ReStructuredText
188 lines
4.9 KiB
ReStructuredText
Installation on Docker
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======================
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You can install Ray on any platform that runs Docker. We do not presently
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publish Docker images for Ray, but you can build them yourself using the Ray
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distribution.
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Using Docker can streamline the build process and provide a reliable way to get
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up and running quickly.
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Install Docker
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--------------
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Mac, Linux, Windows platforms
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The Docker Platform release is available for Mac, Windows, and Linux platforms.
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Please download the appropriate version from the `Docker website`_ and follow
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the corresponding installation instructions. Linux user may find these
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`alternate instructions`_ helpful.
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.. _`Docker website`: https://www.docker.com/products/overview#/install_the_platform
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.. _`alternate instructions`: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-16-04
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Docker installation on EC2 with Ubuntu
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The instructions below show in detail how to prepare an Amazon EC2 instance
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running Ubuntu 16.04 for use with Docker.
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Apply initialize the package repository and apply system updates:
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.. code-block:: bash
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sudo apt-get update
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sudo apt-get -y dist-upgrade
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Install Docker and start the service:
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.. code-block:: bash
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sudo apt-get install -y docker.io
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sudo service docker start
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Add the ``ubuntu`` user to the ``docker`` group to allow running Docker commands
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without sudo:
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.. code-block:: bash
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sudo usermod -a -G docker ubuntu
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Initiate a new login to gain group permissions (alternatively, log out and log
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back in again):
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.. code-block:: bash
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exec sudo su -l ubuntu
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Confirm that docker is running:
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.. code-block:: bash
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docker images
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Should produce an empty table similar to the following:
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.. code-block:: bash
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REPOSITORY TAG IMAGE ID CREATED SIZE
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Clone the Ray repository
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------------------------
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.. code-block:: bash
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git clone https://github.com/ray-project/ray.git
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Build Docker images
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-------------------
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Run the script to create Docker images.
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.. code-block:: bash
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cd ray
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./build-docker.sh
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This script creates several Docker images:
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- The ``ray-project/deploy`` image is a self-contained copy of code and binaries
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suitable for end users.
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- The ``ray-project/examples`` adds additional libraries for running examples.
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- The ``ray-project/base-deps`` image builds from Ubuntu Xenial and includes
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Anaconda and other basic dependencies and can serve as a starting point for
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developers.
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Review images by listing them:
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.. code-block:: bash
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docker images
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Output should look something like the following:
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.. code-block:: bash
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REPOSITORY TAG IMAGE ID CREATED SIZE
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ray-project/examples latest 7584bde65894 4 days ago 3.257 GB
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ray-project/deploy latest 970966166c71 4 days ago 2.899 GB
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ray-project/base-deps latest f45d66963151 4 days ago 2.649 GB
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ubuntu xenial f49eec89601e 3 weeks ago 129.5 MB
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Launch Ray in Docker
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--------------------
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Start out by launching the deployment container.
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.. code-block:: bash
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docker run --shm-size=<shm-size> -t -i ray-project/deploy
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Replace ``<shm-size>`` with a limit appropriate for your system, for example
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``512M`` or ``2G``. The ``-t`` and ``-i`` options here are required to support
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interactive use of the container.
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**Note:** Ray requires a **large** amount of shared memory because each object
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store keeps all of its objects in shared memory, so the amount of shared memory
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will limit the size of the object store.
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You should now see a prompt that looks something like:
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.. code-block:: bash
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root@ebc78f68d100:/ray#
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Test if the installation succeeded
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----------------------------------
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To test if the installation was successful, try running some tests. Within the
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container shell enter the following commands:
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.. code-block:: bash
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python test/runtest.py # This tests basic functionality.
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You are now ready to continue with the `tutorial`_.
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.. _`tutorial`: http://ray.readthedocs.io/en/latest/tutorial.html
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Running examples in Docker
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--------------------------
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Ray includes a Docker image that includes dependencies necessary for running
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some of the examples. This can be an easy way to see Ray in action on a variety
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of workloads.
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Launch the examples container.
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.. code-block:: bash
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docker run --shm-size=1024m -t -i ray-project/examples
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Hyperparameter optimization
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~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. code-block:: bash
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cd /ray/examples/hyperopt/
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python /ray/examples/hyperopt/hyperopt_simple.py
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Batch L-BFGS
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~~~~~~~~~~~~
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.. code-block:: bash
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python /ray/examples/lbfgs/driver.py
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Learning to play Pong
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~~~~~~~~~~~~~~~~~~~~~
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.. code-block:: bash
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python /ray/examples/rl_pong/driver.py
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