How to find which version of TensorFlow is installed in my system?

I installed the Tensorflow 0.12rc from source, and the following command gives me the version info:

python -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 2
python3 -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 3

The following figure shows the output:

If you’re using anaconda distribution of Python,

$ conda list | grep tensorflow
tensorflow    1.0.0       py35_0    conda-forge

To check it using Jupyter Notebook (IPython Notebook)

In [1]: import tensorflow as tf
In [2]: tf.__version__
Out[2]: '1.0.0'

Almost every normal package in python assigns the variable .__version__ to the current version. So if you want to find the version of some package you can do the following

import a
a.__version__

For tensorflow it will be

import tensorflow as tf
tf.version.VERSION

For old versions of tensorflow (below 0.10), use tf.__version__

import tensorflow as tf

print(tf.VERSION)

python -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 2
python3 -c 'import tensorflow as tf; print(tf.__version__)'  # for Python 3

Here -c represents program passed in as string (terminates option list)

For python 3.6.2:

import tensorflow as tf

print(tf.version.VERSION)

To get more information about tensorflow and its options you can use below command:

>> import tensorflow as tf
>> help(tf)

If you have installed via pip, just run the following

$ pip show tensorflow
Name: tensorflow
Version: 1.5.0
Summary: TensorFlow helps the tensors flow

Easily get KERAS and TENSORFLOW version number –>
Run this command in terminal:

[[email protected]:~] python3

>>import keras; print(keras.__version__)

Using TensorFlow backend.

2.2.4

>>import tensorflow as tf; print(tf.__version__)

1.12.0

The tensorflow version can be checked either on terminal or console or in any IDE editer as well (like Spyder or Jupyter notebook, etc)

Simple command to check version:

(py36) C:WINDOWSsystem32>python
Python 3.6.8 |Anaconda custom (64-bit)

>>> import tensorflow as tf
>>> tf.__version__
'1.13.1'

On Latest TensorFlow release 1.14.0

tf.VERSION

is deprecated, instead of this use

tf.version.VERSION

ERROR:

WARNING: Logging before flag parsing goes to stderr.
The name tf.VERSION is deprecated. Please use tf.version.VERSION instead.

Tensorflow version in Jupyter Notebook:-

!pip list | grep tensorflow

If you have TensorFlow 2.x:

sess = tf.compat.v1.Session(config=tf.compat.v1.ConfigProto(log_device_placement=True))

Another variation, i guess 😛

python3 -c 'print(__import__("tensorflow").__version__)'

For knowing any version of the python library then if your library is installed using the pip then use the following command.

pip show tensorflow

The Output of the above command will be shown below:-

Name: tensorflow
Version: 2.3.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: [email protected]
License: Apache 2.0
Location: /usr/local/lib/python3.6/dist-packages
Requires: astunparse, wheel, keras-preprocessing, gast, tensorflow-estimator, opt-einsum, tensorboard, protobuf, absl-py, six, wrapt, termcolor, numpy, grpcio, scipy, google-pasta, h5py
Required-by: fancyimpute

For Windows cmd

pip list | FINDSTR tensorflow
OR
pip show tensorflow

For Linux

pip list | grep tensorflow
OR
pip show tensorflow

Printing python version in human readable format

python -c 'import sys; print(".".join(map(str, sys.version_info[:3])))'

The version of Tensorflow can simply be checked on jupyter notebook using the following simple steps.

import tensorflow as tf
print(tf.__version__)  # for Python 3