Help:Torch

Note!! lua torch support ended February 2017. Use pytorch instead.

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

Software homepage

http://torch.ch/

Software availability

crcv nlp neat (ask if you want it)

Other related software

nvidia cuda and cudann

command to type to run

module load cuda torch

View online documentation

Location of example files

Additional notes

dependencies

python-software-properties software-properties-common libgraphicsmagick1-dev libfftw3-dev sox libsox-dev libsox-fmt-all build-essential gcc g++ curl cmake libreadline-dev git-core libqt4-dev libjpeg-dev libpng-dev ncurses-dev imagemagick libzmq3-dev gfortran unzip gnuplot gnuplot-x11 ipython

The torch environment also includes the following packages: (via luarocks)

• dp
• dpnn
• rnn
• nninit
• unsup
• manifold
• rl
• autograd
• image
• dataload

Please let us know if you find additional modules that could be useful.