Closed minhson-kaist closed 3 years ago
Hey @detuvoldo, could you show the Docker command that you used to start the workspace, please? And could you also elaborate a little bit more on the "closed the jupyter notebook GUI" part? Do you mean removing the container or killing the process or closing the browser window or something like that?
I simply use the command for GPU flavor docker run -p 8080:8080 --gpus all mltooling/ml-workspace-gpu:0.12.1
.
I use Ctrl+C
to kill the process and start the image again. Then, all the data I uploaded to this image disappear.
... and start the image again
Do you mean executing the command docker run -p 8080:8080 --gpus all mltooling/ml-workspace-gpu:0.12.1
again or to start the exited container again via docker start $container_id
(where $container_id
refers to the id of the exited container which you get, for example, via docker ps -a
?
When restarting the same container, all data should actually be persisted.
Though, maybe our persist-data section
helps.
Oh thanks for pointing it out. I found my problems.
I closed the jupyter notebook GUI and start it again, and all of my data disappeared. Are there any reasons for that?