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| Code Block |
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jupyter lab --allow-root -port=8888 --no-browser --NotebookApp.token='' --NotebookApp.allow_origin='*' --notebook-dir=/
--or--
jupyter lab --ip=0.0.0.0 --allow-root --no-browser --NotebookApp.token='' --NotebookApp.allow_origin='*' --notebook-dir=/ |
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Once you open the link, you will be greeted by the standard jupyter notebook launch page. From here you can open your uploaded code or start a new ipynb. Your data will be found in the same path that you specified for mounting, in our case this is the /mount/data and /mount/workspace folders. If you are making a new jupyternb, save your notebook within /mount/workspaces so that you may edit and access it later. You will not be able to save your notebook in the /mount/data folder as that is read only.
Lastly to access your data in a notebook, you can simple invoke:
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Here we can see 1 GPU is available. You can see more available if you selected multiple GPUs upon job creation.
Closing the Notebook
Once you are done working on your code, File→Save to save your work. Then File→Shut Down to close the notebook and end the session. It will take a few minutes for the compute resources to become available again as the system saves work and clears memory.
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