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Introduction
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.
Usage
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The installation is not complete. Please wait for further update module load DeepLearning/tensorflow/tensorflowanaconda/4.00py3.5 |
Installation
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module load python/2.7.1-shared module load gccanaconda/4.900py3.35 module load cuda/4.0.17 cd /sw/DeepLearning/TensorFlow/src git clone https://github.com/tensorflow/tensorflow cd /sw/DeepLearning/TensorFlow/src/tensorflow >>>>>>>>>> ./configure Please specify the location of python. [Default is /sw/python/2.7.1-shared/bin/python]: Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] N No Google Cloud Platform support will be enabled for TensorFlow Found possible Python library paths: /sw/python/2.7.1-shared/lib/python2.7/site-packages Please input the desired Python library path to use. Default is [/sw/python/2.7.1-shared/lib/python2.7/site-packages] /sw/python/2.7.1-shared/lib/python2.7/site-packages Do you wish to build TensorFlow with GPU support? [y/N] N No GPU support will be enabled for TensorFlow Configuration finished >>>>>>>>>conda install tensorflow python Python 3.5.4 |Anaconda custom (64-bit)| (default, Aug 14 2017, 13:26:58) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf >>> |
Reference