Difference between revisions of "TensorFlow"
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{{#if: {{#var: exe}}|==Additional Information== | {{#if: {{#var: exe}}|==Additional Information== | ||
| − | TensorFlow | + | TensorFlow is built from source and optimized for GPGPUs we have. There are two modules. The default module e.g. 'tensorflow/1.7.0' is python3 based. There is a separate py2 moduel e.g. 'tensorflow/1.7.0py2' for legacy scripts. |
$ python3 | $ python3 | ||
>>> import tensorflow as tf | >>> import tensorflow as tf | ||
Revision as of 19:35, 30 April 2018
Description
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.
Required Modules
Run module spider tensorflow to find out what environment modules are available for this application.
System Variables
- HPC_{{#uppercase:tensorflow}}_DIR - installation directory
Additional Information
TensorFlow is built from source and optimized for GPGPUs we have. There are two modules. The default module e.g. 'tensorflow/1.7.0' is python3 based. There is a separate py2 moduel e.g. 'tensorflow/1.7.0py2' for legacy scripts.
$ python3 >>> import tensorflow as tf
A number of useful python modules have been installed within the tensorflow python virtual environment on request e.g. keras.
$ python3 -c 'import keras'
Citation
If you publish research that uses tensorflow you have to cite it as follows:
https://www.tensorflow.org/versions/r0.11/resources/bib.html