Difference between revisions of "TensorFlow"

Revision as of 17:21, 17 March 2017

Description

This article may require cleanup to meet UFRC standards. It's either outdated, has factual errors, has broken links, too terse, too verbose, or inappropriate for UFRC public wiki.

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

Serial

tensorflow

System Variables

HPC_{{#uppercase:tensorflow}}_DIR - installation directory

Additional Information

TensorFlow is installed in a container. Use the 'launch_tensorflow' command to access TensorFlow:

$ launch_tensorflow python
>>> import tensorflow

or

$ launch_tensorflow python -c 'import os; import inspect; import tensorflow; print(os.path.dirname(inspect.getfile(tensorflow)))'

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

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 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.