Show volume files in the GUI of Docker Jupyter not

问题:

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?

回答1:

the way you mount your volume i think its incorrect -v ~/tf/src it should be

-v /host/directory:/container/directory

回答2:

Ferdi D's answer targets only files inside interpreter, not precisely files inside Jupyter GUI, which makes things a little bit confusing. I target the title Show volume files in docker jupyter notebook by more generally showing the filse inside Jupyter notebook.

---

Files inside the interpreters

The -v flag gets you the files in the interpreter or the notebook but not necessarily in the Jupyter GUI

for which you run

$ docker run --rm -it -p 6780:8888 -v "$PWD":/home/jovyan/ jupyter/r-notebook

because the mount point depends on a distribution and hence its path. Here, you ask your current directory to be mounted to Jupyter's path /home/jovyan.

Files inside Jupyter GUIs

To get the files in Jupyter GUI:

OS X

If you had some other than /home/jovyan at the current Jupyter version, the files would not appear in Jupyter GUI so use

$ docker run --rm -it -p 6780:8888 -v "$PWD":/home/jovyan/ jupyter/r-notebook

Some other distros

$ docker run --rm -it -p 6780:8888 -v "$PWD":/tmp jupyter/r-notebook

More generally

For checking up for /home/jovyan/ or /tmp, you can getwd() in R to see your working directory.

Further threads

1. Reddit discussion more generally on the topic here

回答3:

Karl L thinks the solution is the following below. The solution moved here for everyone to judge it and make the question easier to read.

---

Solution

sudo nvidia-docker create -v /Users/user/tf/src:/notebooks 
   -it -p 8888:8888 -e PASSWORD=password 
   --name container_name gcr.io/tensorflow/tensorflow:latest-gpu

As @fendi-d pointed out I was mounting my volume incorrectly.

Then I was pointed to the incorrect mounting dir and I found the correct one in the tensorflow docker file https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/docker/Dockerfile.gpu

Which configures the jupyter notebook and then copies files to "/notebooks"

# Set up our notebook config.
COPY jupyter_notebook_config.py /root/.jupyter/

# Copy sample notebooks.
COPY notebooks /notebooks

After I ran with the correct mounting path it showed my files located in "/Users/user/tf/src"