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The HPC SIG's scripts to build Tensorflow support only CentOS 7 at the moment of writing this article.
Efforts will be made to ensure the compatibility with CentOS 8, and then we will look into Debian environments (probably after adding the OpenBLAS and FFTW build)

The scripts/ansible recipe does make use of LMod to keep track of the libraries, and OpenHPC's binaries for OpenBLAS, FFTW, GCC 8.3.0 and LMod.
Tensorflow and NumPy 1.17.3 do require Python 3, and the EOL of Python 2 is fast approaching, but sadly, the dnf/yum module in Ansible seems very dodgy at the moment, so we still need python2, at least for the ansible.

The Ansible makes use of venv (a.k.a virtualenv) to keep (at least) the python dependencies contained and easily identifiable.

GCC is used to build all necessary pieces (at the moment, 8.3.0 from OpenHPC)

Further Enhancements

Note: The TensorFlow Ansible and Jenkins Job is on a PR at the moment, to be merged with master hpc_lab_jenkins and put into production, please add any issue encountered or comments here : https://github.com/Linaro/hpc_lab_setup/pull/91

The first domain of focus for enhancement would be the NumPy build ; allowing optimizations, looking at fetching the UMFPACK/AMD libraries to hook it up to.
Also a round of clean up is due, to make sure that you can turn on and off certain components build, and fetch the components not built via pip/yum install.
Adding benchmark runs/testsuite runs of the stack's components is also a required step.
Then we will focus on adding more parts of the stack to the build :

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