As you might already know, TensorFlow(tm) could not run natively on Windows. At the time you had to run it on a VM or a Docker container. Earlier this month Google released a native version for Windows. This morning I woke up around 04:00 AM and decided to install it on my computer to have it available over the weekend. The installation is quite simple and it works as I will show.
Initially I ran into problems due to different versions of Anaconda and 
Python on my machine. The instructions from Google call for Python 3.5 (or higher). I had installed different versions (i.e., Python 2.7) plus Python Tools 2.2 for Visual Studio 2013. I decided to remove programs in order, leaving Python for VS towards the end. I really wanted to avoid removing such package.
I tested python (python –version) and 2.7 showed up. Removed Anaconda and restarted my machine. Same result. I decided to remove all versions of Python. I restarted my machine. Python was gone. I then went back to the installation instructions by Google.
One needs to install Python 3.5 or higher. The following information was used to accomplish such task:
| Parameter | Value |
| URL | https://www.python.org/downloads/release/python-352/ |
| File downloaded | C:\temp\python-3.5.2-amd64.exe |
| Installation Folder | C:\Program Files\Python35 |
I performed a custom installation for Python. It was installed in the C:\Program Files\Python35 folder.
To verify the installation, from a command prompt enter the following command:
C:\> python -V
Python 3.5.2
Success!!! Python 2.7 was gone.
I then created a simple Python project using VS 2013. The code for it follows:
import sys
print(‘hello world’)
version = sys.version_info
print(version)
The output for the program:
hello world
sys.version_info(major=3, minor=5, micro=2, releaselevel=’final’, serial=0)
Press any key to continue . . .
All was good so far.
To install TensorFlow from a command prompt enter:
C:\> pip install tensorflow
Collecting tensorflow
Using cached tensorflow-0.12.0rc1-cp35-cp35m-win_amd64.whl
Collecting six>=1.10.0 (from tensorflow)
Using cached six-1.10.0-py2.py3-none-any.whl
Collecting wheel>=0.26 (from tensorflow)
Using cached wheel-0.29.0-py2.py3-none-any.whl
Collecting protobuf==3.1.0 (from tensorflow)
Using cached protobuf-3.1.0-py2.py3-none-any.whl
Collecting numpy>=1.11.0 (from tensorflow)
Using cached numpy-1.11.2-cp35-none-win_amd64.whl
Requirement already satisfied (use –upgrade to upgrade): setuptools in c:\program files\python35\lib\site-packages (from protobuf==3.1.0->tensorflow)
Installing collected packages: six, wheel, protobuf, numpy, tensorflow
Successfully installed numpy-1.11.2 protobuf-3.1.0 six-1.10.0 tensorflow-0.12.0rc1 wheel-0.29.0
You are using pip version 8.1.1, however version 9.0.1 is available.
You should consider upgrading via the ‘python -m pip install –upgrade pip’ command.
To update pip from a command console:
C:\> python -m pip install –upgrade pip
Collecting pip
Downloading pip-9.0.1-py2.py3-none-any.whl (1.3MB)
100% |################################| 1.3MB 365kB/s
Installing collected packages: pip
Found existing installation: pip 8.1.1
Uninstalling pip-8.1.1:
Successfully uninstalled pip-8.1.1
Successfully installed pip-9.0.1
To verify the operation of TensorFlow from a command prompt:
C:\> python
Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32
Type “help”, “copyright”, “credits” or “license” for more information.
>>> import tensorflow as tf
>>> hello = tf.constant(‘Hello, TensorFlow!!!’)
>>> sess = tf.Session()
>>> print(sess.run(hello))
b’Hello, TensorFlow!!!’
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a + b))
42
>>> quit()
C:\>
Seems all is well so far. Over the weekend will experiment with this installation and then will see if I can move my NVIDIA Tesla card from a PC running Linux to this one running Windows 10.
If you have comments or questions regarding this blog post or any other entry, please do not hesitate and send me a message via email. I will keep your name in confidence unless you state different.
John
John.canessa@gmail.com
Follow me on Twitter: @john_canessa