How to run Python Scripts on Mac Terminal using Docker with Tensorflow?

Question

I just got a Mac and shifted from Windows and installed Tensorflow using Docker and everything is working fine, but I want to run a python script that I have from before. Is there any way to run a python script in docker on a Mac, using the terminal?

Answer 1

More information would be very helpful, but perhaps this is useful for you.

It depends on a lot of different factors, but assuming a couple of things:

The docker containing Tensorflow has a name like 'tensorflow' already contains the python script: you can use: docker run tensorflow 'python '

If the script is not yet present, you can either use build a docker based on that image using a docker file, something along the lines of:

FROM tensorflow:latest
ADD /some/local/path.py /the/path/on/my/docker

Or you can create/run the docker interactively by doing something along the lines of:

Docker run -ti tensorflow /bin/bash Which will start an instance of the tensorflow container and start /bin/bash on it. You now have an interactive shell so can place the python script any way you want and start it.

Answer 2

Something like the below should do...

Create a Dockerfile with the below content:

FROM gcr.io/tensorflow/tensorflow:latest
COPY script.py /usr/bin/
CMD ["python", "/usr/bin/script.py"]

build the image:

$ docker build -t mytensorflow .

run it:

$ docker run -it --rm mytensorflow

if you want to keep the container going after the script is run don't --rm it...

Answer 3

Lets assume you have a script my_script.py located at /Users/awesome_user/python_scripts/ on your mac

By default the tensorFlow image bash will locate you at /notebooks.

Run this command in your terminal:

docker run --rm -it -v /Users/awesome_user/python_scripts/:/notebooks gcr.io/tensorflow/tensorflow bash

This will map your local mac folder /Users/awesome_user/python_scripts/ to the docker's local folder /notebooks

then just run from the bash python my_script.py . Also running ls should reveal your folder content