Difference between revisions of "Infrastructure/software/tensorflow"
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TensorFlow is one of the most widely used Deep Learning frameworks in NLP (in mid-2018, at least), with corporate support from Google. | TensorFlow is one of the most widely used Deep Learning frameworks in NLP (in mid-2018, at least), with corporate support from Google. | ||
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+ | = Usage on Abel = | ||
+ | |||
+ | The module <tt>nlpl-pytorch</tt> provides a TensorFlow installation | ||
+ | in a Python 3.5 virtual environment. | ||
+ | |||
+ | <pre> | ||
+ | module use -a /projects/nlpl/software/modulesfiles | ||
+ | module load nlpl-tensorflow | ||
+ | </pre> | ||
= Installation on Abel = | = Installation on Abel = | ||
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<pre> | <pre> |
Revision as of 19:02, 19 September 2018
Background
TensorFlow is one of the most widely used Deep Learning frameworks in NLP (in mid-2018, at least), with corporate support from Google.
Usage on Abel
The module nlpl-pytorch provides a TensorFlow installation in a Python 3.5 virtual environment.
module use -a /projects/nlpl/software/modulesfiles module load nlpl-tensorflow
Installation on Abel
module purge module load gcc/4.9.2 cuda/9.0 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 chmod 755 /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-tensorflow/1.11 pip install --upgrade pip pip install --upgrade $(pip list | tail -n +3 | awk '{print $1}')
qlogin --account=nn9106k --time=6:00:00 --nodes=1 --ntasks-per-node=1 --partition=accel --gres=gpu:1 module purge module use -a /projects/nlpl/software/modulefiles module load nlpl-tensorflow pip install --upgrade tensorflow-gpu