# Initializing the variables
# init = tf.initialize_all_variables() # older TF 0.11.0-py35_0 conda-forge
init = tf.global_variables_initializer() # newer TF 0.12.1-py35_1 conda-forge
Check what environment you are running, especially if you switch often, or just restarted the computer.
$ conda info --envs
# conda environments:
#
CarND-TensorFlow-Lab /Users/ukilucas/anaconda3/envs/CarND-TensorFlow-Lab
IntroToTensorFlow /Users/ukilucas/anaconda3/envs/IntroToTensorFlow
py3 /Users/ukilucas/anaconda3/envs/py3
py35 /Users/ukilucas/anaconda3/envs/py35
root * /Users/ukilucas/anaconda3
I have been running "nohup jupyter notebook &" command and my Jupyter Notebook did not see my newest TensorFlow environments. I wanted to update my root anyway.
I execute the following:
$ conda install -c conda-forge tensorflow
Fetching package metadata .........
Solving package specifications: ..........
Package plan for installation in environment /Users/ukilucas/anaconda3:
The following packages will be UPDATED:
protobuf: 3.0.0-py35_0 conda-forge --> 3.1.0-py35_0 conda-forge
tensorflow: 0.11.0-py35_0 conda-forge --> 0.12.1-py35_1 conda-forge
Proceed ([y]/n)? y
Unlinking packages ...
[ COMPLETE ]|#####################| 100%
Linking packages ...
[ COMPLETE ]|#####################| 100%
$
Update:
I decided to create my TensorFlow in a new environment because I have Python 3.6:
$ python --version
Python 3.6.0 :: Continuum Analytics, Inc.
$ conda create -n tensorflow python=3.5
Another option is DOWNGRADE Python 3.6 to Python 3.5
$ conda install python=3.5
