The material in this repo contains workshop materials related to building neural networks for deep learning applications.
(Make sure you are connnected to USC secure wireless or VPN first) First login to CARC OnDemand: https://ondemand.carc.usc.edu/ and request a 'Discovery Cluster Shell Access' within OpenOnDemand.
We will use Conda to build software packages. Please follow the instructions below on how to install packages (carc_conda_setup.py will automatically install common packages such as PyTorch, Matlotlib, Pandas and etc in the conda environment):
salloc --partition=gpu --gres=gpu:1 --cpus-per-task=8 --mem=32GB --time=1:00:00 salloc --partition=gpu --gres=gpu:1 --cpus-per-task=8 --mem=32GB --time=1:00:00 --reservation=bootcamp --account=hpcsuppt_613
module purge
module load conda
git clone https://github.com/uschpc/Building-NeuralNetworks.git
cd Building-NeuralNetworks
python carc_conda_setup.py
pip uninstall torch torchvision torchaudio -y
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu126