Hoffman2:JupyterNotebook: Difference between revisions
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=Use Jupyter Notebook/Lab= | =Use Jupyter Notebook/Lab= | ||
==Connecting to Hoffman2== | |||
Download h2jupynb from [https://raw.githubusercontent.com/rdauria/jupyter-notebook/main/h2jupynb | git] to your local drive | |||
(A copy is under /u/project/CCN/apps/scripts/idre_scripts/ in Hoffman but it might not be the newest version) | |||
Make it excutable | |||
chmod u+x h2jupynb | |||
From your laptop, run | |||
./h2jupynb -u userid -t 2 -m 8 -p 9394 | |||
(You'll find more details [https://www.hoffman2.idre.ucla.edu/Using-H2/Connecting/Connecting.html#connecting-via-jupyter-notebook-lab here]) | |||
Without specifying the version, it will use the default Python version chosen by the script, currently 3.9.6. | |||
You can specify Python version you want to use | |||
./h2jupynb -u userid -v 3.7.3 -t 2 -m 8 -p 9394 | |||
==Install on Local Device== | |||
Install to your laptop using Anaconda: | |||
[https://jupyter.readthedocs.io/en/latest/install.html Jupyter Official Website] | |||
#Download [https://www.anaconda.com/distribution/ Anaconda] version 3.7 | |||
#Install it to your laptop as a regular application | |||
#then run "jupyter notebook" from the terminal | |||
===GPU Access=== | ===GPU Access=== | ||
Latest revision as of 21:50, 28 May 2022
Use Jupyter Notebook/Lab
Connecting to Hoffman2
Download h2jupynb from | git to your local drive
(A copy is under /u/project/CCN/apps/scripts/idre_scripts/ in Hoffman but it might not be the newest version)
Make it excutable
chmod u+x h2jupynb
From your laptop, run
./h2jupynb -u userid -t 2 -m 8 -p 9394
(You'll find more details here)
Without specifying the version, it will use the default Python version chosen by the script, currently 3.9.6.
You can specify Python version you want to use
./h2jupynb -u userid -v 3.7.3 -t 2 -m 8 -p 9394
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