TensorFlow™ is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
The currently installed versions are
on the environment hpc-env/8.3
TensorFlow/1.13.1-fosscuda-2019b-Python-3.7.4 TensorFlow/2.1.0-fosscuda-2019b-Python-3.7.4 TensorFlow/2.3.1-fosscuda-2019b-Python-3.7.4
on the environment hpc-env/6.4
TensorFlow/1.7.0-intel-2018a-Python-3.6.3 TensorFlow/1.8.0-intel-2018a-Python-3.6.3 TensorFlow/1.13.1-foss-2017b-Python-3.6.3 (Not built with GPU support!)
on the environment hpc-uniol-env
If you want to find out more about Tensorflow on the HPC Cluster, you can use the command
module spider TensorFlow
This will show you basic informations e.g. a short description and the currently installed version.
To load the desired version (e.g. 1.8), you must load the module as well as the environment:
module load hpc-env/6.4 module load TensorFlow/1.8.0
For more information about how to use TensorFlow, you can take a look at the tutorial.
Further information are also available on the homepage