Running TensorFlow on window 7

http://www.netinstructions.com/how-to-install-and-run-tensorflow-on-a-windows-pc/

How to install and run TensorFlow on a Windows PC

If you're involved with machine learning, you probably heard the news by now that Google open-sourced their machine learning library TensorFlow a few weeks ago. Excited to dive into TensorFlow, I went to their download and installation page and was disappointed to discover they didn't offer any support or instructions for Windows users.
But they did have a Docker image! In case you haven't heard, Docker is a container that wraps up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, and system libraries. And Docker is available on Windows.

How I was able to run TensorFlow on my Windows machine

First, I installed the Docker toolbox for Windows.
(A quick aside -- As of June 2016 it looks like you can use Docker Toolbox for Windows for Windows Windows 7 or 8 and the newer, currently in beta Docker for Windows for Windows 10. Note the absence of the word 'Toolbox' if you are using Windows 10. Docker is confusing.
Then I opened up the Docker Quickstart Terminal.

It created a default Docker machine for me. You can view the Docker machines available by typing docker-machine ls

$ docker-machine ls
NAME      ACTIVE   DRIVER       STATE     URL                         SWARM
default   *        virtualbox   Running   tcp://192.168.99.100:2376

I then created a second (new) Docker machine named vdocker by typing:

$ docker-machine create vdocker -d virtualbox

Because I was behind a corporate web proxy, I had to connect to that machine and configure it to use my proxy. This step may not be necessary for you. If you're having other issues with Docker due to a firewall or web proxy, see my post here.

$ docker-machine ssh vdocker
sudo -s
echo "export HTTP_PROXY=http://proxyhost:8080" >> /var/lib/boot2docker/profile
echo "export HTTPS_PROXY=http://proxyhost:8080" >> /var/lib/boot2docker/profile
exit
exit
$ docker-machine restart vdocker

You exit twice, first to get out of root access, and second to get out of the docker container.
Now if you type docker-machine ls you should see your two Docker machines

NAME      ACTIVE   DRIVER       STATE     URL                         SWARM
default   *        virtualbox   Running   tcp://192.168.99.100:2376
vdocker   -        virtualbox   Running   tcp://192.168.99.101:2376

Okay, now the Docker machine called 'vdocker' has been created and configured. Now to actually install TensorFlow. Open a Windows cmd prompt (not the Docker terminal) and enter the following:


 FOR /f "tokens=*" %i IN ('docker-machine env --shell cmd vdocker') DO %i

You should see some output from the Docker machine like the following screenshot

Then type the following line (from the Docker install page):

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

And it should start downloading the image which looks like

Because I was behind a corporate web proxy I initially got a docker: An error occurred trying to connect: Post https://192.168.99.101:2376/v1.23/containers/create: Forbidden. which was was resolved by making a proxy exception using these steps.
After it's done pulling the files and uncompressing them you should get a linux shell. Go ahead and type python and try out TensorFlow on your Windows machine*!

*Technically you're running TensorFlow in a Docker container in a VirtualBox Linux virtual machine running in a Windows PC.
Here's the code from the above image:

$ python
...
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print sess.run(a + b)
42
>>>

Enjoy using TensorFlow on your Windows computer! If you had any Docker errors and/or are behind a web proxy see the notes here.


NOTE:

At the end, the docker tensorflow  will run a Notebook that allow us to run ipython on browser.

Run docker-machine ls in the Docker Quick terminal to know the IP of the docker tensorflow
Then, from the host machine, can open Firefox and type that IP:8888

To stop vdocker:

docker-machine stop vdocker

And start it again:

In window cmd:

> docker-machine start vdocker
> FOR /f "tokens=*" %i IN ('docker-machine env --shell cmd vdocker') DO %i

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

Then we can use [vdocker_IP]:8888 on the host browser :)