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PyTorch

Warning: page not updated for current Triton

This page hasn't been updated since Triton was completely upgraded in May 2024. The software might not be installed and the old information below might not work anymore (or might need adapting). If you need this software, :ref:`open an issue <issuetracker>` and tell us so we can reinstall/update it.

pagelastupdated:2022-08-08

PyTorch is a commonly used Python package for deep learning.

Basic usage

First, check the tutorials up to and including :doc:`../tut/gpu`.

If you plan on using NVIDIA's containers to run your model, please check the page about :doc:`nvidiacontainers`.

The basic way to use PyTorch is via the Python in the scicomp-python-env module. Don't load any additional CUDA modules, scicomp-python-env includes everything.

Building your own environment with PyTorch

If you need a PyTorch version different to the one supplied with the scicomp python environment we recommend installing your own conda environment as detailed here.

Examples: