Where I work, the compute clusters have been upgraded to RedHat Eneterprise Linux 7 (RHEL7). I therefore needed to rebuild Tensorflow. I have to build because the standard pip install binaries do not work on these systems as the glibc version is 2.17 on RHEL 7 while Tensorflow >= v1.14 need glibc 2.23. (See my RHEL6 post)

TensorFlow binaries do not work on RHEL6 because they require GLIBC 2.17. The system version is 2.12. Therefore you need to build Tensorflow. (Having another glibc on the system is just painful.) That still requires a few tricks.

In order to run TensorFlow in Jupyter notebook in the conda environment that is installed in, need to do the following: