Tensorflow import error: No module named 'tensorflow'

Question

I installed TensorFlow on my Windows Python 3.5 Anaconda environment The validation was successful (with a warning)

(tensorflow) C:\>python

Python 3.5.3 |Intel Corporation| (default, Apr 27 2017, 17:03:30) [MSC v.1900 64 bit (AMD64)] on win32

Type "help", "copyright", "credits" or "license" for more information. Intel(R) Distribution for Python is brought to you by Intel Corporation. Please check out: https://software.intel.com/en-us/python-distribution

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

2017-10-04 11:06:13.569696: W C:\tf_jenkins\home\workspace\rel-win\M\windows\PY\35\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.

>>> print(sess.run(hello))

b'Hello, TensorFlow!'

However, when I attempt to import it into my python code

from __future__ import print_function, division
import numpy as np
import os
import matplotlib
import tensorflow as tf

I get this error

ImportError: No module named 'tensorflow'

This is the location of the tensorflow package on my C drive

C:\Users\myname\Anaconda2\envs\tensorflow\Lib\site-packages\tensorflow

When I go to Anaconda Navigator, it seems I have to choose either root, Python35, or Tensorflow. It looks like the Tensorflow environment includes Python35.

Anaconda Navigator launcher had to be reinstalled recently, possibly due to the Tensorflow installation. Maybe if there were another way to set the environment to Tensorflow within Anaconda /Spyder IDE other than the Navigator it might help

Method of installing tensorflow

conda create --name tensorflow python=3.5; 
pip install --ignore-installed --upgrade tensorflow 

I did try: uninstalling and reinstalling protobuf, as suggesed by some blogs

I see another SO user asked the same question in March, received no reply

Solution 1

The reason Python 3.5 environment is unable to import Tensorflow is that Anaconda does not store the tensorflow package in the same environment.

One solution is to create a new separate environment in Anaconda dedicated to TensorFlow with its own Spyder

conda create -n newenvt anaconda python=3.5
activate newenvt

and then install tensorflow into newenvt

I found this primer helpful

Solution 2

In Windows 64, if you did this sequence correctly:

Anaconda prompt:

conda create -n tensorflow python=3.5
activate tensorflow
pip install --ignore-installed --upgrade tensorflow

Be sure you still are in tensorflow environment. The best way to make Spyder recognize your tensorflow environment is to do this:

conda install spyder

This will install a new instance of Spyder inside Tensorflow environment. Then you must install scipy, matplotlib, pandas, sklearn and other libraries. Also works for OpenCV.

Always prefer to install these libraries with "conda install" instead of "pip".

Solution 3

The reason why Python base environment is unable to import Tensorflow is that Anaconda does not store the tensorflow package in the base environment.

create a new separate environment in Anaconda dedicated to TensorFlow as follows:

conda create -n newenvt anaconda python=python_version

replace python_version by your python version

activate the new environment as follows:

activate newenvt

Then install tensorflow into the new environment (newenvt) as follows:

conda install tensorflow

Now you can check it by issuing the following python code and it will work fine.

import tensorflow

Solution 4

deleting tensorflow from cDrive/users/envs/tensorflow and after that

conda create -n tensorflow python=3.6
 activate tensorflow
 pip install --ignore-installed --upgrade tensorflow

now its working for newer versions of python thank you

Solution 5

I think your tensorflow is not installed for local environment.The best way of installing tensorflow is to create virtualenv as describe in the tensorflow installation guide Tensorflow Installation .After installing you can activate the invironment and can run anypython script under that environment.

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