Difference between revisions of "TensorFlow 2016"
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''on the environment '''hpc-env/8.3''''' | ''on the environment '''hpc-env/8.3''''' | ||
'''TensorFlow/2.1.0- | '''TensorFlow/2.1.0-fosscuda-2019b-Python-3.7.4''' | ||
''on the environment '''hpc-env/6.4''''' | ''on the environment '''hpc-env/6.4''''' | ||
Revision as of 11:01, 29 April 2020
Introduction
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.
Installed version
The currently installed versions are
on the environment hpc-env/8.3
TensorFlow/2.1.0-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
on the environment hpc-uniol-env
Tensorflow/1.4.0-intel-2016b-Python-2.7.12
Using TensorFlow
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
Documentation
For more information about how to use TensorFlow, you can take a look at the tutorial.
Further information are also available on the homepage
