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This is a parallel SESOP implementation in TensorFlow.

To start working we need to setup our enviorment:

  1. (Only the very first time) install profile in anaconda: conda create -n tensorflow

  2. First we need to activate tensorflow profile in anaconda: source activate tensorflow

  3. Open jupyther notebook

  4. if CG doesnt work (using scipy interface), edit file /home/shai/anaconda/lib/python2.7/site-packages/tensorflow/contrib/opt/python/training/external_optimizer.py

Where stuff are?

/home/shai/anaconda/envs/tensorflow /home/shai/anaconda/lib/python2.7/site-packages/tensorflow /home/shai/anaconda/lib/python2.7/site-packages/tensorflow/include/tensorflow

Libaries:

/usr/local/cuda-8.0/extras/CUPTI/lib64/libcupti.so.8.0 /usr/local/cuda-8.0/extras/CUPTI/lib64/libcupti.so.8.0.61 shai@gpu-plx01:/tensorflow/parallel_sesop$ shai@gpu-plx01:/tensorflow/parallel_sesop$ shai@gpu-plx01:~/tensorflow/parallel_sesop$ echo $LD_LIBRARY_PATH

export LD_LIBRARY_PATH=/usr/local/cuda-8.0/extras/CUPTI/lib64/:/usr/local/cuda-8.0/lib64:/usr/lib64:/usr/lib