mirror of
https://github.com/wassname/ray.git
synced 2026-08-04 13:14:14 +08:00
Wapaul1andRobert Nishihara
08707f9408
* Initial integration of webui with ray * Re-organized calling of build-webui in setup.py * Fixed Lint comments on js code * Fixed more lint issues * Fixed various issues * Fixed directory in services.py * Small changes. * Changes to match lint
1.3 KiB
1.3 KiB
Installation on Ubuntu
Ray should work with Python 2 and Python 3. We have tested Ray on Ubuntu 14.04 and Ubuntu 16.04
Dependencies
To install Ray, first install the following dependencies. We recommend using Anaconda.
sudo apt-get update
sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-pip libboost-all-dev unzip nodejs npm # If you're using Anaconda, then python-dev and python-pip are unnecessary.
pip install numpy funcsigs colorama psutil redis
pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4 # We use the latest version of cloudpickle because it can serialize named tuples.
pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@488f881d708bc54e86ed375ee97aa94540808fa1
Install Ray
Ray can be installed with pip as follows.
pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=ray&subdirectory=lib/python"
Alternatively, Ray can be built from the repository as follows.
git clone https://github.com/ray-project/ray.git
cd lib/python
python setup.py install
Test if the installation succeeded
To test if the installation was successful, try running some tests. This assumes that you've cloned the git repository.
python test/runtest.py