Error running basic tensorflow example

From the path in your stack trace (/git/tensorflow/tensorflow/…), it looks like your Python path may be loading the tensorflow libraries from the source directory, rather than the version that you have installed. As a result, it is unable to find the (compiled) pywrap_tensorflow library, which is installed in a different directory.

A common solution is to cd out of the /git/tensorflow directory before starting python or ipython.

The command below helped me.

 pip install tensorflow --upgrade --force-reinstall

I compiled, installed TensorFlow from source (GitHub: https://github.com/tensorflow/tensorflow) in a Python 2.7 virtual environment (venv). It worked fine, but I needed (as others have mentioned, e.g. user "mrry" at Error running basic tensorflow example) to cd out of the partition in which I had compiled TensorFlow, to another partition, in order to be able to import tensorflow into Python. Otherwise, I got various errors, depending on which (source partition) directory I was in. To clarify:

         source: /mnt/Vancouver/apps/tensorflow
can't import tf: Python launched in any of /mnt/...
  can import tf: Python launched in /home/victoria/...

I later just followed the instructions here,

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#anaconda-installation

and everything just works, fine.

For reference, I am operating on

Arch Linux [4.6.3-1-ARCH] x86_64
Intel i7-4790
xfce 4.12 desktop environment

INSTALL STEPS:

Modify paths, venv names as per your preferences.

Create tf-env:

cd /home/victoria/anaconda3/envs

conda create -n tf-env python=2.7 anaconda

Note: appending the 'anaconda' metapackage installs ALL Anaconda packages (NumPy; ...).

Source activate that venv (tf-env)
```
source activate tf-env
```

Note: added to ~/.bashrc as an alias:

alias tf='echo "  [TensorFlow in Anaconda Python 2.7 venv (source activate tf]" && source activate tf-env'

Install TensorFlow in the tf-env venv:

(tf-env)$ conda install -c conda-forge tensorflow

THIS obviates the use of pip (including the *.whl install script), an alternative approach to installing TensorFlow that is described here:

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md).

WORKS!

(tf-env)[victoria@victoria ~]$ P

  [P: python]
Python 2.7.12 |Anaconda 4.1.1 (64-bit)| (default, Jul  2 2016, 17:42:40)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org

>>> import tensorflow
>>> print tensorflow.__version__
0.9.0
>>> [Ctrl-D]

(tf-env)[victoria@victoria ~]$

You may then work with TensorFlow in the tf-env; e.g., in Jupyter notebooks launched in this (tf-env) venv.

Error running basic tensorflow example

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