How to change the jupyter lab host in Pytorch:23.07 image

[ElinLiu0]

Description

Reproduce

• Pull the Pytorch:23.07 image from NGC （NVIDIA GPU Container）
• run bellow docker command to launch jupyter lab:

docker run --rm -it --gpus 1 pytorch jupyter lab --allow-root --ip=* --port=8888 --no-browser --NotebookApp.token='' --NotebookApp.allow_origin='*' --notebook-dir=/workspace

• check out the output log

Expected behavior

The jupyter lab URL should be spawn like http://localhost:8888,but got http://hostname:8888

Context

• Operating System and version: Uknown from container
• Browser and version: 115.0.5790.171(Chrome)
• JupyterLab version: 2.3.2 (from jupyterlab.version)

Troubleshoot Output

None,this container's jupyter lab is fine

Command Line Output

=============
== PyTorch ==
=============
NVIDIA Release 23.07 (build 63867923)

PyTorch Version 2.1.0a0+b5021ba
Container image Copyright (c) 2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
Copyright (c) 2014-2023 Facebook Inc.

Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)

Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)

Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)

Copyright (c) 2011-2013 NYU                      (Clement Farabet)

Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)

Copyright (c) 2006      Idiap Research Institute (Samy Bengio)

Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)

Copyright (c) 2015      Google Inc.

Copyright (c) 2015      Yangqing Jia

Copyright (c) 2013-2016 The Caffe contributors

All rights reserved.
Various files include modifications (c) NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
This container image and its contents are governed by the NVIDIA Deep Learning Container License.

By pulling and using the container, you accept the terms and conditions of this license:

https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
NOTE: The SHMEM allocation limit is set to the default of 64MB.  This may be

insufficient for PyTorch.  NVIDIA recommends the use of the following flags:

docker run --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 ...
[I 13:54:07.793 LabApp] Writing notebook server cookie secret to /root/.local/share/jupyter/runtime/notebook_cookie_secret

[I 13:54:08.278 LabApp] jupyter_tensorboard extension loaded.

[I 13:54:08.282 LabApp] JupyterLab extension loaded from /usr/local/lib/python3.10/dist-packages/jupyterlab

[I 13:54:08.282 LabApp] JupyterLab application directory is /usr/local/share/jupyter/lab

[I 13:54:08.284 LabApp] [Jupytext Server Extension] NotebookApp.contents_manager_class is (a subclass of) jupytext.TextFileContentsManager already - OK

[I 13:54:08.287 LabApp] Serving notebooks from local directory: /workspace

[I 13:54:08.287 LabApp] Jupyter Notebook 6.4.10 is running at:

[I 13:54:08.287 LabApp] http://hostname:8888/?token=2a586a1d1fa6102d0576507d2201f5dc5ab6edf53a1a5836

[I 13:54:08.287 LabApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).

[C 13:54:08.289 LabApp]
To access the notebook, open this file in a browser:
    file:///root/.local/share/jupyter/runtime/nbserver-1-open.html
Or copy and paste this URL:
    http://`hostname`:8888/?token=2a586a1d1fa6102d0576507d2201f5dc5ab6edf53a1a5836

Browser Output

None,on server side.

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[JasonWeill]

@ElinLiu0 Thanks for your contribution! This repository is for the JupyterLab project. We do not maintain the Nvidia Docker image that you're using, and JupyterLab version 2 is no longer maintained. You will need to contact the maintainers of that Docker image to get help with it. I do not have this contact information, but it may be present in the README or other documentation of the Docker image you used.