HOWTO: Install Tensorflow locally

This documentation describes how to install tensorflow package locally in your $HOME space.

Load python module

module load python/3.6-conda5.2

Clone python installation to local directory

Three alternative create commands are listed.  These cover the most common cases:

conda create -n local --clone="$PYTHON_HOME"

This will clone the entire python installation to ~/envs/local directory. The process will take several minutes.

conda create -n local

This will create a local python installation without any packages. If you need a small number of packages, you may choose this option.

conda create -n local python={version} anaconda

If you like to install a specific version of python, you can specify it with "python" option. For example, you can use "python=3.6" for version 3.6.

To verify that a clone has been created, use the command

conda info -e

For additional conda command documentation see

Activate clone environment

For the bash shell:

source activate local

On newer versions of Anaconda on the Owens cluster you may also need to perform the removal of the following packages before trying to install your specific packages:

conda remove conda-build
conda remove conda-env

Install package

Install the latest version of tensorflow that is gpu compatible.

pip install tensorflow-gpu
If there are errors on this step you will need to resolve them before continuing.

Test python package

Now we will test tensorflow package by loading it in python and checking its location to ensure we are using the correct version.

python -c "import tensorflow;print (tensorflow.__file__)"


Remember, you will need to load the proper version of python before you go to use your newly installed package.  Packages are only installed to one version of python.

Install your own python modules

If the method using conda above is not working or if you prefer, you can consider installing python modules from the source. Please read HOWTO: install your own python modules.