Infrastructure/software/tensorflow

From Nordic Language Processing Laboratory
Revision as of 14:35, 19 September 2018 by Oe (talk | contribs) (→‎Installation on Abel)
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Background

TensorFlow is one of the most widely used Deep Learning frameworks in NLP (in mid-2018, at least), with corporate support from Google.


Installation on Abel

The module nlpl-pytorch provides a PyTorch installation in a Python 3.5 virtual environment. 

module purge
module load gcc/4.9.2 cuda/8.0
module load python3/3.5.0

cd /projects/nlpl/software
mkdir tensorflow
virtualenv tensorflow/1.11

First things first: Enable use of our custom (more modern) GNU C Library installation, by wrapping the basic python binary: 

mv /projects/nlpl/software/tensorflow/1.11/bin/{,.}python3.5
sed 's@pytorch/0.4.1@tensorflow/1.11@' \
  /projects/nlpl/software/pytorch/0.4.1/bin/python3.5 \
  > /projects/nlpl/software/tensorflow/1.11/bin/python3.5

Next, create a module definition, in this case /projects/nlpl/software/modulefiles/nlpl-tensorflow/1.11. 

module load nlpl-pytorch/0.4.1
pip install --upgrade pip
pip install --upgrade numpy pillow six
pip install torch torchvision

wget -O /tmp/requirements.txt \
  https://raw.githubusercontent.com/OpenNMT/OpenNMT-py/master/requirements.txt
pip install -r /tmp/requirements.txt
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