Tensorflow on Fedora

tensorflow_fedora.md

Note: Adapted from official Ubuntu instructions for Tensorflow using virtualenv.

This gist is currently a "Work in Progress". It works, but requires superuser privileges. I have not tested it with GPU support.

1. Install pip and Virtualenv by issuing one of the following commands:

sudo dnf install python-pip python-devel python-virtualenv  # for Python 2.7
sudo dnf install python3-pip python3-devel python3-virtualenv # for Python 3.x

2. Add Virtualenv to your PATH by issuing the following command:

sudo /usr/bin/easy_install virtualenv

3. Create a Virtualenv environment by issuing one of the following commands:

virtualenv --system-site-packages targetDirectory # for Python 2.7
virtualenv --system-site-packages -p python3 targetDirectory # for Python 3.

4. Activate the Virtualenv environment by issuing one of the following commands:

source ~/tensorflow/bin/activate # bash, sh, ksh, or zsh
source ~/tensorflow/bin/activate.csh  # csh or tcsh

5. Ensure pip >8.1 is installed:

(tensorflow)$ easy_install -U pip

6. Issue one of the following commands to install Tensorflow in the active Virtualenv environment:

(tensorflow)$ pip install --upgrade tensorflow      # for Python 2.7
(tensorflow)$ pip3 install --upgrade tensorflow     # for Python 3.n
(tensorflow)$ pip install --upgrade tensorflow-gpu  # for Python 2.7 and GPU
(tensorflow)$ pip3 install --upgrade tensorflow-gpu # for Python 3.n and GPU

If you run into any issues, please take a look at Google's official documentation for installing Tensorflow on Ubuntu. The instructions are mostly the same.