Original report by Leonid Kostrykin (Bitbucket: theV0ID, GitHub: theV0ID).
I'm using a remote IPython kernel which I added as follows:
#!bash
remote_ikernel manage --add \
--remote-precmd="source activate /path/to/conda/envs/ipython" \
--kernel_cmd="ipython kernel -f {connection_file}" --name "remote_host/Python2" \
--interface=ssh --host="remote_host" --workdir="/some/path"
I run an arbitrary computation which takes a few hours to finish. The progress of the computations are printed in the Notebook, and the print-out updates itself every second. If I remain at the computer and keep interacting with the Jupyter notebook (mostly scrolling to see the progress) the computation finishes as expected. Contrary, If I just leave the Jupyter notebook open as-is and go away for a few hours (the browser and the notebook remain open of course) the computation always hangs. From the last print-out I see that it usually hangs after about ~300 to ~3000 seconds. I have automatic suspend/hibernate turned off on my computer. This issue doesn't occur if a local kernel is used instead.
Might that be related to a timeout of the SSH tunnels?
Original report by Leonid Kostrykin (Bitbucket: theV0ID, GitHub: theV0ID).
I'm using a remote IPython kernel which I added as follows:
I run an arbitrary computation which takes a few hours to finish. The progress of the computations are printed in the Notebook, and the print-out updates itself every second. If I remain at the computer and keep interacting with the Jupyter notebook (mostly scrolling to see the progress) the computation finishes as expected. Contrary, If I just leave the Jupyter notebook open as-is and go away for a few hours (the browser and the notebook remain open of course) the computation always hangs. From the last print-out I see that it usually hangs after about ~300 to ~3000 seconds. I have automatic suspend/hibernate turned off on my computer. This issue doesn't occur if a local kernel is used instead.
Might that be related to a timeout of the SSH tunnels?