ACACES Course 2024 - Politecnico di Torino
Authors: Alessio Burrello, Daniele Jahier Pagliari
The ideal environment for running the Python notebooks (for the first Hands-on Session) is a local instance of Jupyter Lab. However, you will need a GPU to run all steps in a reasonable time.
Clone the github repository from the command line:
git clone git@github.com:eml-eda/acaces-ocnn.git
Move into the cloned folder:
cd acaces-ocnn
Then, create a virtual environment to install packages locally:
python -m venv ./acaces_venv
And activate it:
source acaces_venv/bin/activate
Alternatively, you can use Conda as well if you prefer. Lastly, install the required packages with pip:
pip install -r requirements.txt
You are now ready to start the Jupyter Lab session. If you're running locally, this command should suffice:
jupyter lab
If you are in a remote machine, you may want to run this instead (where any port would work as long as it is not blocked by your firewall):
jupyter lab --ip='*' --port=58080 --no-browser
In the local scenario, a new browser window should popup automatically with the Jupyter Lab session. In the remote case, instead, you will see instructions in the terminal that suggest to access the server by opening a URL that looks like this:
http://localhost:58080/lab?token=<LONG_STRING>
Simply take that URL and paste it in your browser, replacing localhost with the IP or hostname of the remote server. You should now see the Jupyter Lab Interface. Simply open the first notebook I_SuperNet.ipynb and follow the instructions.
For the last hands_on, you need to download and import the following VM: https://www.dropbox.com/scl/fo/x02v103y3dyrk340khgir/AONLAM_ihyZQr_Dg6ipimqw?rlkey=1fhhbji4e6syc4iu8ha9q8uux&dl=0
You need to execute the notebook internally to the VM.