I have installed Anaconda on Windows 64 bit. I have downloaded PyCharm for creating a project and in the terminal of PyCharm I have installed numpy, scipy, matplotlib using the following commands:

conda install numpy
conda install scipy
conda install matplotlib

I am not able to install Tensorflow in the same way I installed these other packages. How should I install it?

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20 Answers

Google has recently launched a newer version of TensorFlow r0.12 which include support of Windows both CPU and GPU version can now be installed using Python >=3.5.2 (only 64-bit) version.

For CPU only version open command prompt and enter follow command

pip install --upgrade 

Follow this TensorFlow on Windows for step-by-step instructions.

UPDATE

To install current latest version please run following command:

pip install tensorflow #CPU only
pip install tensorflow-gpu #For GPU support

UPDATE 2020

TensorFlow 2.0 now has a single package for both CPU and GPU version, simply run

pip install tensorflow

If you're using Anaconda you can install TensorFlow GPU version and all of its dependencies (CUDA, cuDNN) by running:

conda install -c tensorflow-gpu

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To install TF on windows, follow the below-mentioned steps:

conda create --name tensorflow python=3.5
activate tensorflow
conda install jupyter
conda install scipy
pip install tensorflow-gpu

Use pip install tensorflow in place of pip install tensorflow-gpu, in case if you want to install CPU only version of TF.

Note: This installation has been tested with Anaconda Python 3.5 (64 bit). I have also tried the same installation steps with (a) Anaconda Python 3.6 (32 bit), (b) Anaconda Python 3.6 (64 bit), and (c) Anaconda Python 3.5 (32 bit), but all of them (i.e. (a), (b) and (c) ) failed.

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Currently tensorflow has binaries only for Unix based OS i.e. Ubuntu Mac OS X - that's why no mention of Windows in setup docs.

There are long discussions on Github:

• Open - Windows Support and Documentation
• Closed - How to install TensorFlow on Windows
• Closed - How to install/run/use TensorFlow on windows machines?

---

A SO answer - tensorflow — is it or will it (sometime soon) be compatible with a windows workflow?

---

Suggestion:

For now, on Windows, the easiest way to get started with TensorFlow would be to use Docker:

It should become easier to add Windows support when Bazel (the build system we are using) adds support for building on Windows, which is on the roadmap for Bazel 0.3. You can see the full Bazel roadmap here.

Or simply use a Linux VM (using VMPlayer), and the stated steps will setup it up for you.

---

For PyCharm - Once conda environment will be created, you'll need to set the new interpretor (in conda environment) as the interpretor to use in PyCharm:

Now to use the conda interpreter from PyCharm go to file > settings > project > interpreter, select Add local in the project interpreter field (the little gear wheel) and browse the interpreter or past the path.

The default location - the environment lives under conda_root/envs/tensorflow. The new python interpreter 'll be at conda_root/envs/tensorflow/bin/pythonX.X , such that the site-packages will be in conda_root/envs/tensorflow/lib/pythonX.X/site-packages.

Google has announced support for tensorflow on Windows. Please follow instructions at . Please note CUDA8.0 is needed for GPU installation.

If you have installed the 64-bit version of Python 3.5 (either from Python.org or Anaconda), you can install TensorFlow with a single command: C:> pip install tensorflow

For GPU support, if you have CUDA 8.0 installed, you can install the following package instead: C:> pip install tensorflow-gpu

I was able to install tensorflow on windows following the instructions on tensorflow.org, using the conda method of installation, as given here: . There are small differences on how to activate an 'environment' on windows, you call 'activate' directly without the 'source'. So, for me after installing anaconda the steps where:

C:\Users\Dunschm>conda create -n tensorflow python=3.5
C:\Users\Dunschm>activate tensorflow
(tensorflow) C:\Users\Dunschm>conda install -c conda-forge tensorflow

5

activate tensorflow

conda install -c conda-forge tensorflow worked for me.

None of the other steps mentioned online helped, I found it here when trying to install an older version.

Eventhough the steps mentioned in the link seems to be for MAC OS X/Linux it worked in windows 7

You can install spyder along with thisconda install spyder

This worked for me:

conda create -n tensorflow python=3.5
activate tensorflow
conda install -c conda-forge tensorflow

Open Anaconda Navigator.

Change the dropdown of "Applications on" from "root" to "tensorflow"

see screenshot

Launch Spyder

Run a little code to validate you're good to go:

import tensorflow as tf
node1 = tf.constant(3, tf.float32)
node2 = tf.constant(4) # also tf.float32 implicitly
print(node1, node2)

or

hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

I have python 3.5 with anaconda. First I tried everything given above but it did not work for me on windows 10 64bit. So I simply tried:-

1. Open the command prompt
2. Check for python version for which you want to install tensorflow, if you have multiple versions of python.

3. If you just have one version, then type in cmd:

   C:/>conda install tensorflow 

   for multiple versions of python, type in cmd:

   C:/>conda install tensorflow python=version(e.g.python=3.5)

It works, just give it a try.
After installation open ipython console and import tensorflow:

import tensorflow

If tensorflow installed properly then you are ready to go. Enjoy machine learning:-)

1

I found a more recent blog post in Anaconda which instructs how to install the TF easily. I used:

conda create -n tensorflow_env tensorflow

Or for the GPU version (Make sure that you have NVIDIA GPU)

conda create -n tensorflow_gpuenv tensorflow-gpu

This way you will have different environments for different TFs.

The following command from inside your command window (and preferably, conda environment) will work provided you have an Nvidia graphics card.

conda install tensorflow-gpu 

1) Update conda

Run the anaconda prompt as administrator

conda update -n base -c defaults conda

2) Create an environment for python new version say, 3.6

conda create --name py36 python=3.6

3) Activate the new environment

conda activate py36

4) Upgrade pip

pip install --upgrade pip

5) Install tensorflow

pip install 

If it doesn't work

If you have problem with wheel at the environment location, or pywrap_tensorflow problem,

 pip install tensorflow --upgrade --force-reinstall

This is what I did for Installing Anaconda Python 3.6 version and Tensorflow on Window 10 64bit.And It was success!

1. Go to to download Anaconda Python 3.6 version for Window 64bit.

2. Create a conda environment named tensorflow by invoking the following command:

   C:> conda create -n tensorflow

3. Activate the conda environment by issuing the following command:

   C:> activate tensorflow (tensorflow)C:> # Your prompt should change

4. Go to code here download “tensorflow-1.0.1-cp36-cp36m-win_amd64.whl”. (For my case, the file will be located in “C:\Users\Joshua\Downloads” once after downloaded)

5. Install the Tensorflow by using the following command:

   (tensorflow)C:>pip install C:\Users\Joshua\Downloads\ tensorflow-1.0.1-cp36-cp36m-win_amd64.whl

This is what I got after the installing:

6. Validate installation by entering following command in your Python environment:

   import tensorflow as tf hello = tf.constant('Hello, TensorFlow!') sess = tf.Session() print(sess.run(hello))

If the output you got is 'Hello, TensorFlow!',that means you have successfully install your Tensorflow.

• Install Anaconda for Python 3.5 - Can install from here for 64 bit windows

• Then install TensorFlow from here

(I tried previously with Anaconda for Python 3.6 but failed even after creating Conda env for Python3.5)

Additionally if you want to run a Jupyter Notebook and use TensorFlow in it. Use following steps.

Change to TensorFlow env:

C: > activate tensorflow
(tensorflow) C: > pip install jupyter notebook

Once installed, you can launch Jupyter Notebook and test

(tensorflow) C: > jupyter notebook

Open anaconda prompt

make sure your pip version is updated

and you have python 3.4 3.5 or 3.6

Just run the command

pip install --upgrade tensorflow

you can take help from the documentation and video

Goodluck

I use windows 10, Anaconda and python 2. A combination of mentioned solutions worked for me:

Once you installed tensorflow using:

C:\Users\Laleh>conda create -n tensorflow python=3.5 # use your python version

C:\Users\Laleh>activate tensorflow

(tensorflow) C:\Users\Laleh>conda install -c conda-forge tensorflow

Then I realized tensorflow can not be imported in jupyter notebook, although it can work in commad windows. To solve this issue first I checked:

jupyter kernelspec list

I removeed the Jupyter kernelspec, useing:

jupyter kernelspec remove python2

Now, the jupyter kernelspec list is pointing to the correct kernel. Again, I activate tensorflow and installed notebook in its environment:

C:\Users\Laleh>activate tensorflow

(tensorflow)C:> conda install notebook

Also if you want to use other libraries such as matplotlib, they should be installed separately in tensorflow environment

(tensorflow)C:> conda install -c conda-forge matplotlib

Now everything works fine for me.

This documentation link is helpful and worked for me. Installs all dependencies and produces a working Anaconda. Or this answer is also helpful if you want to use it with spyder

If you have anaconda version 2.7 installed on your windows, then go to anaconda prompt, type these two commands:

1. Create a conda environment for tensorflow using conda create -n tensorflow_env tensorflow
2. activate the tensorflow using conda activate tensorflow_env

If it is activated, then the base will be replaced by tensorflow_env i.e. now it will show (tensorflow_env) C:\Users>

You can now use import tensorflow as tf for using tensorflow in your code.

I tried many things but always faced some issue or other. Below steps with specific version only worked for me.

1> Create virtual env

#conda create -n tensorflow pip python=3.5

2> activate env #activate tensorflow #conda info --envs

3> Install tensorflow

#conda install -c conda-forge tensorflow

this will install tensorflow 1.10.0

#python -m pip install --upgrade pip
#pip install setuptools==39.1.0

3> Install keras

#pip install keras==2.2.2

Testing

(tensorflow) C:\WINDOWS\system32>python
Python 3.5.6 |Anaconda, Inc.| (default, Aug 26 2018, 16:05:27) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> import keras
Using TensorFlow backend.
>>>

The above steps

conda install -c conda-forge tensorflow

will work for Windows 10 as well but the Python version should be 3.5 or above. I have used it with Anaconda Python version 3.6 as the protocol buffer format it refers to available on 3.5 or above. Thanks, Sandip

"Conda" installs some of the special packages that might have compiled in C or other languages. You can use "pip install tensorflow" and it will work.

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