Tutorial: Using Tensorflow with Docker

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--D. Thiebaut (talk) 22:42, 12 February 2017 (EST)



These are very quick instructions for installing Docker under Mac OSX and for running Tensorflow on it. This is a summarized version of the longer explanations given on the official TensorFlow Install page:

and the Docker Install page:

Install Docker

Run Docker

  • Find Docker in the Applications and run it
  • It will open a Terminal window
  • Note the IP that is specified at the end (should be
                        ##         .
                  ## ## ##        ==
               ## ## ## ## ##    ===
           /"""""""""""""""""\___/ ===
      ~~~ {~~ ~~~~ ~~~ ~~~~ ~~~ ~ /  ===- ~~~
           \______ o           __/
             \    \         __/

docker is configured to use the default machine with IP
For help getting started, check out the docs at https://docs.docker.com
docker is configured to use the default machine with IP
For help getting started, check out the docs at https://docs.docker.com

  • Quit Docker by pressing Ctrl-C twice and return to the command line

Install TensorFlow "in" Docker

  • Run the following command at the prompt, in the same Terminal session:
docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow

This will download tensorflow and will take a few minutes (~ 8 minutes)
  • Make a note of the URL that is given. It will be of the form:

Create a Script to Start Docker Automatically

If you are using a Mac or Linux machine, create a script called startDocker.sh in your bin directory:

#! /bin/bash

docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow

Make your script executable:

chmod +x startDocker.sh

Start Jupiter

Jupiter is an application that runs in a browser and presents the user a virtual disk where the user can create folders and write programs.

  • To start the Jupiter connected to Docker, open your browser and enter the URL that was given to you in the previous step.

If you get an error message, replace localhost by the IP given next to the whale logo, above (I got when I started Docker).

  • You should end up with a window similar to this one:


  • Double-click on the 1_hello_tensorflow.ipynb Jupiter notebook to open it.
  • You may get an error when the notebook opens. Just click on Cell then Run All to get rid of the error.
  • If the page appears without errors, then all the Tensorflow mini-programs will have run without errors, and you're all set!

Using Jupiter

Hello TensorFlow!

In Jupyter, create a new notebook, and paste the following code into it:

HelloWorld example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/

from __future__ import print_function

import tensorflow as tf

# Simple hello world using TensorFlow

# Create a Constant op
# The op is added as a node to the default graph.
# The value returned by the constructor represents the output
# of the Constant op.
hello = tf.constant('Hello, TensorFlow!')

# Start tf session
sess = tf.Session()

# Run the op


  • Click on Cell, Run Cells. You should see the "Hello TensorFlow! message appear on the page.
  • Your installation of TensorFlow works!

Quick Tutorial on how to use Jupyter