Difference between revisions of "TensorFlow"
Jump to navigation
Jump to search
| Line 46: | Line 46: | ||
$ launch_tensorflow python | $ launch_tensorflow python | ||
>>> import tensorflow | >>> import tensorflow | ||
| + | or | ||
| + | |||
| + | $ launch_tensorflow python -c 'import os; import inspect; import tensorflow; print(os.path.dirname(inspect.getfile(tensorflow)))' | ||
|}} | |}} | ||
Revision as of 15:40, 13 October 2016
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
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