Hoffman2:JupyterNotebook: Difference between revisions
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(You'll find more details [https://www.hoffman2.idre.ucla.edu/Using-H2/Connecting/Connecting.html#connecting-via-jupyter-notebook-lab here]) | (You'll find more details [https://www.hoffman2.idre.ucla.edu/Using-H2/Connecting/Connecting.html#connecting-via-jupyter-notebook-lab here]) | ||
./h2jupynb -u userid -t 2 -m 8 -p 9394 | |||
Without specifying the version, it will use the default Python version chosen by the script, currently 3.9.6. | |||
==Install on Local Device== | ==Install on Local Device== |
Revision as of 00:28, 11 November 2021
Use Jupyter Notebook/Lab
Connecting to Hoffman2
Download h2jupynb (or h2jupynb_rh7) from git to your local drive
Make it excutable
chmod u+x h2jupynb
From your laptop, run (Using Python 3.7)
./h2jupynb -u userid -v 3.7.3 -t 2 -m 8 -p 9394
(You'll find more details here)
./h2jupynb -u userid -t 2 -m 8 -p 9394
Without specifying the version, it will use the default Python version chosen by the script, currently 3.9.6.
Install on Local Device
Install to your laptop using Anaconda:
- Download Anaconda version 3.7
- Install it to your laptop as a regular application
- then run "jupyter notebook" from the terminal
GPU Access
To access GPU resources on Hoffman, add the virtual env to ipykernel for the very first time:
qrsh -l gpu,P4 module load python/anaconda3 conda activate pytorch-1.3.1-gpu python -m ipykernel install --user --name=pytorch-1.3.1-gpu
Using h2jupynb:
./h2jupynb -v anaconda3 -g yes -c P4 -l 10.0