To run openvibspec/anaconda3 you can just download the prepared image:
docker pull openvibspec/anaconda3
You should be aware, that this image is quite big. (>7G)
To run openvibspec/anaconda3 with nvidia-docker invoke the following command:
nvidia-docker run -it -v <your-notebook-folder>:/opt/notebooks -p 8888:8888 openvibspec/anaconda3
To run the default version the command is slightly modified:
docker run -it -v <your-notebook-folder>:/opt/notebooks -p 8888:8888 openvibspec/anaconda3
Prerequisites
You'll be placed inside your instanciated docker container like so:
(py38) localuser@8087de7548e8:~$
Due to the inability of docker-containers not running graphical interfaces directly, the invocation of jupyter notebook needs some arguments:
(py38) localuser@8087de7548e8:~$ jupyter notebook --ip="*" --no-browser --notebook-dir=/opt/notebooks
The notebook should start like this:
[I 09:22:33.052 NotebookApp] Jupyter Notebook 6.4.0 is running at:
[I 09:22:33.052 NotebookApp] http://8087de7548e8:8888/?token=c061d3ebe26dbcc83bd661740b6e2fee3d8c84373fafa3f5
[I 09:22:33.052 NotebookApp] or http://127.0.0.1:8888/?token=c061d3ebe26dbcc83bd661740b6e2fee3d8c84373fafa3f5
[I 09:22:33.052 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 09:22:33.054 NotebookApp]
To access the notebook, open this file in a browser:
file:///home/localuser/.local/share/jupyter/runtime/nbserver-25-open.html
Or copy and paste one of these URLs:
http://8087de7548e8:8888/?token=c061d3ebe26dbcc83bd661740b6e2fee3d8c84373fafa3f5
or http://127.0.0.1:8888/?token=c061d3ebe26dbcc83bd661740b6e2fee3d8c84373fafa3f5
You have to manually copy the last line to your address-bar of your preferred browser:
http://127.0.0.1:8888/?token=c061d3ebe26dbcc83bd661740b6e2fee3d8c84373fafa3f5
Enjoy,
Content type
Image
Digest
Size
3 GB
Last updated
over 5 years ago
docker pull openvibspec/anaconda3