Machine learning, neural network frameworks

General info on Sponsored Applications

These applications are not officially maintained, that is, HPC does not update this software or provide official support or documentation.

Sponsored applications are sponsored by users who have volunteered to share their software installations with users outside of their project group and to field basic questions about usage. There is no expectation that applications will be updated to the latest version, or that the installations have been rigorously tested, or that the person volunteering to field questions will have the capacity to provide extensive or time sensitive troubleshooting or training for the applications.

These applications are currently not maintained and not available. However, here are some general guidelines for installing some popular packages yourself.


Self-installation Guidelines

Pytorch with GPU Acceleration Enabled

1) Follow directions to initialize conda and pip: conda, pip
2). Request a usrapps space if you don't have one: usrapps space
3). Create a conda environment with pip in it:

conda create --prefix /usr/local/usrapps/$GROUP/$USER/pytorch_conda_env pip

4). Activate the conda environment:

conda activate --prefix /usr/local/usrapps/$GROUP/$USER/pytorch_conda_env

5) Go to: pytorch. Scroll to bottom of page to design your pip install command for pytorch (select "Stable" for build, "Linux" for OS, "Pip" for package, "Python" for language, "CUDA 12.6" for Compute Platform).
6). Execute the pip command created in step 5
7). Test pytorch can access GPUs using an interactive compute node:


bsub -Is -n 1 -W 30 -q short_gpu -gpu "num=1:mode=shared:mps=yes" bash 

Once on the interactive compute node, activate the conda environment and start python:


conda activate /usr/local/usrapps/$GROUP/$USER/pytorch_conda_env
python

# run these python commands using python command prompt
import torch
torch.cuda.is_available() #If "True" is returned, it is indicative that pytorch is configured to properly run on the HPC GPUs

Last modified: August 08 2025 15:56:29.