Hoffman2:JupyterNotebook: Difference between revisions

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Line 18: Line 18:
  curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb
  curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb


or
or


  ##for CentOS7
  ##for CentOS7
  curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb_rh7  
  curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb_rh7  


Make it excutable
  chmod u+x h2jupynb
  chmod u+x h2jupynb



Revision as of 22:00, 24 May 2021

Use Jupyter Notebook/Lab

Install on Local Device

Install to your laptop using Anaconda:

Jupyter Official Website

  1. Download Anaconda version 3.7
  2. Install it to your laptop as a regular application
  3. then run "jupyter notebook" from the terminal


Connecting to Hoffman2

Download h2jupynb from git to your local drive

curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb

or

##for CentOS7
curl -O https://gitlab.idre.ucla.edu/dauria/jupyter-notebook/-/blob/master/h2jupynb_rh7 

Make it excutable

chmod u+x h2jupynb

From your laptop, run (Using Python 3.7)

./h2jupynb -u userid -v 3.7.0

(You'll find more details here)

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