Difference between revisions of "TensorFlow"

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{{#if: {{#var: exe}}|==Additional Information==
 
{{#if: {{#var: exe}}|==Additional Information==
  
TensorFlow has been 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.
+
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 website  

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