Summary
Source: https://pytorch.org/
License: https://github.com/pytorch/pytorch/blob/master/LICENSE
Path: part of conda installations
Documentation: https://pytorch.org/
PyTorch is a Python package that provides two high-level features:
- Tensor computation (like NumPy) with strong GPU acceleration
- Deep neural networks built on a tape-based autograd system
Using pytorch
To initialize the environment use the module command for conda/3.6:
[elx]$ module load maxwell conda/3.6 # use the "standard pytorch [elx]$ conda list | grep -i pytorch pytorch 1.0.1 py3.6_cuda9.0.176_cudnn7.4.2_0 pytorch [elx]$ python Python 3.6.7 | packaged by conda-forge | (default, Feb 28 2019, 09:07:38) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> torch.__version__ '1.0.1' # use the pytorch conda environment [elx]$ conda env list | grep -i pytorch pytorch /software/anaconda3/5.2/envs/pytorch [elx]$ python Python 3.6.7 | packaged by conda-forge | (default, Feb 28 2019, 09:07:38) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> torch.__version__ '1.0.1' >>> import torchvision >>> torchvision.__version__ '0.2.1' [elx]% conda deactivate # get some information [elx]% xwhich pytorch No executable named pytorch found Documentation: https://confluence.desy.de/display/IS/pytorch URL: https://pytorch.org/ Manual: https://pytorch.org/ License: https://github.com/pytorch/pytorch/blob/master/LICENSE