Error running basic tensorflow example

Viewed 96468

I have just reinstalled latest tensorflow on ubuntu:

$ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl
[sudo] password for ubuntu: 
The directory '/home/ubuntu/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/home/ubuntu/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting tensorflow==0.7.1 from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl
  Downloading https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl (13.8MB)
    100% |████████████████████████████████| 13.8MB 32kB/s 
Requirement already up-to-date: six>=1.10.0 in /usr/local/lib/python2.7/dist-packages (from tensorflow==0.7.1)
Requirement already up-to-date: protobuf==3.0.0b2 in /usr/local/lib/python2.7/dist-packages (from tensorflow==0.7.1)
Requirement already up-to-date: wheel in /usr/local/lib/python2.7/dist-packages (from tensorflow==0.7.1)
Requirement already up-to-date: numpy>=1.8.2 in /usr/local/lib/python2.7/dist-packages (from tensorflow==0.7.1)
Requirement already up-to-date: setuptools in /usr/local/lib/python2.7/dist-packages (from protobuf==3.0.0b2->tensorflow==0.7.1)
Installing collected packages: tensorflow
  Found existing installation: tensorflow 0.7.1
    Uninstalling tensorflow-0.7.1:
      Successfully uninstalled tensorflow-0.7.1
Successfully installed tensorflow-0.7.1

When following the directions to test it fails with cannot import name pywrap_tensorflow:

$ ipython

/git/tensorflow/tensorflow/__init__.py in <module>()
     21 from __future__ import print_function
     22 
---> 23 from tensorflow.python import *

/git/tensorflow/tensorflow/python/__init__.py in <module>()
     43 _default_dlopen_flags = sys.getdlopenflags()
     44 sys.setdlopenflags(_default_dlopen_flags | ctypes.RTLD_GLOBAL)
---> 45 from tensorflow.python import pywrap_tensorflow
     46 sys.setdlopenflags(_default_dlopen_flags)
     47 

ImportError: cannot import name pywrap_tensorflow

Is there an additional change needed to my python or ubuntu/bash environment?

11 Answers

Tensorflow 2.0 Compatible Answer: Both mrry's solution and neustart47's work for Tensorflow Version >= 2.0.

Answer 1: cd out of the /git/tensorflow directory before starting python or ipython.

Answer 2: pip install tensorflow --upgrade --force-reinstall or
!pip install tensorflow==2.0 --force-reinstall

In my python -m venv environment it appeared to be fixed by:

pip uninstall tensorflow

Change requirements.txt to say tensorflow==1.5.0 instead of tensorflow==1.8.0.

pip install -r requirements.txt

if you using CPU manufactured before 2011 then downgraded the tensorflow version from 1.8.0 to 1.5.0 or 1.2.0 and try to import the module it worked for me.

Installing via the following command solves the problem:

pip install --upgrade

Here's the link to download

I figured out that TensorFlow 1.12.0 only works with Python version 3.5.2. I had Python 3.7 but that didn't work. So, I had to downgrade Python and then I could install TensorFlow it works.

To downgrade your python version from 3.7 to 3.6

conda install python=3.6.8

I'm using tensorflow 1.13.1. Just reinstalling tensorflow worked for me.

I also have this issue and have been looking into it for a long time. It seems that there is no such problem on python 3+. On py2.7- The problem is actually on google.protobuf

Solution 1:

pip uninstall protobuf
pip uninstall google
pip install google
pip install protobuf
pip install google-cloud

Solution 2:

create an __init__.py in "google" folder.

cd /path/to/your/env/lib/python2.7/site-packages/google
touch __init__.py

Hopefully it will work.

Related