如何使用官方Tensorflow docker容器在主机目录中保存和编辑Jupyter笔记本？

Question

I want to use the official Tensorflow docker images to create and edit a Jupyter notebook stored on the host.

I'm a little confused with what switches I need to provide. To run a Tensorflow script on the host the docs suggest:

docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/tensorflow python ./script.py

..and to run the Jupyter service:

docker run -it -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter

When I try merging the switches to run Jupyter + mount the host volume:

docker run -it --rm -v $PWD:/tmp -w /tmp -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter

...its still accessing notebooks stored in the container, not the host.

Answer 1

Notebooks are stored inside the container /tf folder, so copying your files there will do the trick:

docker run -it --rm -v $PWD:/tf  -p 8888:8888 tensorflow/tensorflow:nightly-py3-jupyter

The first command you mentioned is used to run a TensorFlow program developed on the host machine, not a notebook.