Table of Contents

Lab 03

Factor Graphs

During this lab, you should get a bit deeper understanding of the factorgraph concepts presented during the lectures.

labs_03_templates.zip
labs_03_program.pdf

Pytorch installation

You will need Pytorch and matplotlib installed on your PC for this (and only this) lab (either inside or outside the ARO Apptainer).

If you have any working Pytorch and matplotlib installation on your PC, then you're ready for the lab.

If you don't, follow this tutorial (for Ubuntu Linux):

Please, make sure to be outside any Conda environments when following this tutorial.

Outside ARO Apptainer

sudo apt update && sudo apt install python3-venv
python3 -m venv --system-site-packages ~/pytorch_venv  # or any other folder in your home
source ~/pytorch_venv/bin/activate
pip install torch matplotlib  # This downloads about 900 MB of data and takes 7 GB on disk

Inside ARO Apptainer

python3 -m virtualenv --system-site-packages ~/pytorch_venv  # or any other folder in your home
source ~/pytorch_venv/bin/activate
pip install torch  # This downloads about 900 MB of data and takes 7 GB on disk

If you won't need PyTorch for anything else and you don't need GPU support (this lab does not need it), you can install the CPU-only version of PyTorch. It only takes up 1 GB on disk. 

# pip install torch matplotlib  # instead of this, do the following two commands
pip install matplotlib
pip install torch --index-url https://download.pytorch.org/whl/cpu

Using the virtualenv

When you leave this console or reboot your computer, you get the virtualenv back by calling source ~/pytorch_venv/bin/activate.

If you're on WSL, the installation of Pytorch took too much space and deleting the virtualenv doesn't free up the space, please follow this guide to reclaim the taken space.