2

I want to use Tensorflow(with CPU support only) in Windows 10. I tried the following command to use pip installation but did not work. Any Idea how to fix this?

C:/Python35/Scripts/pip install --upgrade tensorflow

Running this in Comman Prompt I get the following error:

Collecting tensorflow
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow

I also tried using pip3 or the URL installation:

    C:\>C:/Python35/Scripts/pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0-cp35-cp35m-win_amd64.whl
tensorflow-1.0.0-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.

But none of them worked.

Improve this question

5 Answers 5

Reset to default
1

anaconda is based on python 3.6 by default and not 3.5xx which supports tensorflow. follow the guide in this link: http://www.stefangordon.com/install-tensorflow-in-anaconda-on-windows/

Improve this answer
Sign up to request clarification or add additional context in comments.

Comments

0

I had this exact issue the other day when my pip version was out of date. What version do you have when you type pip --version in the console?

I recommend running pip install --upgrade pip to update it to the newest version, and then trying again.

Improve this answer

1 Comment

Thanks for the answer. After several attempts, I just reinstalled my Python35 again and used the new source package 1.1.0 to install and it got solved.
0

Reinstalled Python35 and used the package from: https://pypi.python.org/pypi/tensorflow

using the command:

pip install "tensorflow-1.1.0rc2-cp35-cp35m-win_amd64.whl"

I was able to run the tensorflow on windows properly. You may get several warnings when running a sample Tensorflow code such as:

2017-04-19 16:35:22.533979: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.534756: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.535027: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.535245: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.535462: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.535680: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.536664: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2017-04-19 16:35:22.536925: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. b'Hello, TensorFlow!'

To solve this issue you can use the following code to silence the warnings from TF:

import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
Improve this answer

Comments

0

The pip version should be > 9.0 Try upgrade pip: 

python -m pip install -U pip
Improve this answer

Comments

0

Tensorflow's latest library doesn't work with the latest python on win64, you need to downgrade to Python 3.5.x

Tested on win7 Enterprise (64bits, Intel i5):

devlab@Ubuntu19 ~/Downloads
$ python --version
Python 3.5.3


devlab@Ubuntu19 ~/Downloads
$ pip install tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
Processing c:\users\xt21966\downloads\tensorflow-1.1.0-cp35-cp35m-
win_amd64.whl
Collecting six>=1.10.0 (from tensorflow==1.1.0)
Downloading six-1.10.0-py2.py3-none-any.whl
Collecting protobuf>=3.2.0 (from tensorflow==1.1.0)
Downloading protobuf-3.3.0.tar.gz (271kB)
Collecting wheel>=0.26 (from tensorflow==1.1.0)
Downloading wheel-0.29.0-py2.py3-none-any.whl (66kB)
Collecting werkzeug>=0.11.10 (from tensorflow==1.1.0)
Downloading Werkzeug-0.12.2-py2.py3-none-any.whl (312kB)
Collecting numpy>=1.11.0 (from tensorflow==1.1.0)
Downloading numpy-1.12.1-cp35-none-win_amd64.whl (7.7MB)
Requirement already satisfied: setuptools in 
c:\users\xt21966\appdata\local\programs\python\python35\lib\site-packages 
(from protobuf>=3.2.0->tensorflow==1.1.0)
Installing collected packages: six, protobuf, wheel, werkzeug, numpy, 
tensorflow
Running setup.py install for protobuf: started
Running setup.py install for protobuf: finished with status 'done'
Successfully installed numpy-1.12.1 protobuf-3.3.0 six-1.10.0 tensorflow-1.1.0 werkzeug-0.12.2 wheel-0.29.0
Improve this answer

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.