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I run Jupyter Notebook with Docker and trying to mount local directory onto the intended Docker volume. But I am unable to see my files in the Jupyter notebook. The Docker command is
sudo nvidia-docker create -v ~/tf/src -it -p 8888:8888
-e PASSWORD=password
--name container_name gcr.io/tensorflow/tensorflow:latest-gpu
and the GUI of the Jupyter Notebook looks like
but ~/tf/src are not shown up in the Jupyter GUI.
What are needed for the files to shown up in the Jupyter? Am I initializing the container incorrectly for this?
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You can use the docker volume ls command to view a list of data volumes. Use the docker volume inspect command to view the data volume details.
Volumes are also stored as part of the host file system, which is managed by Docker. On Linux, volumes are stored in “/var/lib/docker/volume”. Non-Docker processes should not be allowed to modify this part of the file system. One of the best ways to persist data in Docker is Volumes.
Getting started with Docker file Let's install all Python packages when you are creating a container. Then run docker build : $ docker build -t shinokada/jupyter-notebook . We entered in a running container using docker exec and list the Python packages to see if our packages are installed.
the way you mount your volume i think its incorrect -v ~/tf/src it should be
-v /host/directory:/container/directory
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