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iot-salzburg / gpu-jupyter

GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
Apache License 2.0
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cannot change the password (again) #56

Closed dsnalzami closed 3 years ago

dsnalzami commented 3 years ago

hello, maybe I am not clear gave the description in previous thread: https://github.com/iot-salzburg/gpu-jupyter/issues/54

I used your image to the students in the university lab. after I pulls the image, I put the password from the student. the method is :

nano jupyter_notebook_config.py

paste the password to c.NotebookApp.password = u'student salted password'.

then I restarted the service.

I always used the above method for your previous image (last month)

but this latest image, I cannot replicate the methods.

if I using your proposed: "Another solution would be to create a new Dockerfile that pulls cschranz/gpu-jupyter:tag" it would be burden due some student like to change the password often and I used portainer so the representative only use portainer to manage the docker and image (last time we gave them the terminal access, it was catastrophe)

ChristophSchranz commented 3 years ago

The reason for this is most likely that we switched from Jupyterlab 2 to version 3. This leads to a different naming of the fields. The class name NotebookApp has changed to ServerApp. I hope a simple renaming works for you!

By the way, I've made it easier today to set a password in f6bb51d10b7495dcc409d70ceb698bdfaff7b1b0. Just run, e.g., bash generate-Dockerfile.sh --password your_password --python-only

ChristophSchranz commented 3 years ago

Please reopen if the issue was not solved by the suggested workaround.