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Robert NishiharaandPhilipp Moritz 681ec570ba Remove unnecessary pip installs. (#21 )

* Small cleanups in worker.py.

* Remove dependencies on subprocess32, graphviz, protobuf, and ipython.

* Retry starting the plasma manager if the port is in use.

* Whitespace

* Move start_plasma_manager into plasma.py.

2016-11-02 16:40:37 -07:00

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Installation on Ubuntu

Ray must currently be built from source. We have tested Ray on Ubuntu 14.04.

Clone the Ray repository

git clone https://github.com/ray-project/ray.git

Dependencies

First install the dependencies. We currently do not support Python 3.

sudo apt-get update
sudo apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
sudo pip install funcsigs colorama
sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.

Build

Then run the setup scripts.

cd ray
./setup.sh # Build all necessary third party libraries (e.g., gRPC and Apache Arrow). This may take about 10 minutes.
./build.sh # Build Ray.
source setup-env.sh # Add Ray to your Python path.

For convenience, you may also want to add the line source "$RAY_ROOT/setup-env.sh" to the bottom of your ~/.bashrc file manually, where $RAY_ROOT is the Ray directory (e.g., /home/ubuntu/ray).

Test if the installation succeeded

To test if the installation was successful, try running some tests.

python test/runtest.py # This tests basic functionality.
python test/array_test.py # This tests some array libraries.

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