I need to find which version of TensorFlow I have installed. I’m using Ubuntu 16.04 Long Term Support.

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

## The Question :

*311 people think this question is useful*

*The Question Comments :*

- To retreive the summary (incl. version of package) try:
`pip show [package name]`

, eg:`pip show tensorflow`

,`pip show numpy`

etc. - Simply
`print(tf.__version__)`

- Anyone knowing the difference between
`tf.__version__`

and`tf.version.VERSION`

? My 0.12.0 installation doesn’t support latter.

## The Answer 1

*474 people think this answer is useful*

This depends on how you installed TensorFlow. I am going to use the same headings used by TensorFlow’s installation instructions to structure this answer.

## Pip installation

Run:

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

Note that `python`

is symlinked to `/usr/bin/python3`

in some Linux distributions, so use `python`

instead of `python3`

in these cases.

`pip list | grep tensorflow`

for Python 2 or `pip3 list | grep tensorflow`

for Python 3 will also show the version of Tensorflow installed.

## Virtualenv installation

Run:

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

`pip list | grep tensorflow`

will also show the version of Tensorflow installed.

For example, I have installed TensorFlow 0.9.0 in a `virtualenv`

for Python 3. So, I get:

$ python -c 'import tensorflow as tf; print(tf.__version__)' 0.9.0 $ pip list | grep tensorflow tensorflow (0.9.0)

## The Answer 2

*91 people think this answer is useful*

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__`

## The Answer 3

*57 people think this answer is useful*

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

## The Answer 4

*31 people think this answer is useful*

import tensorflow as tf print(tf.VERSION)

## The Answer 5

*19 people think this answer is useful*

For python 3.6.2:

import tensorflow as tf print(tf.version.VERSION)

## The Answer 6

*17 people think this answer is useful*

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'

## The Answer 7

*8 people think this answer is useful*

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:

## The Answer 8

*6 people think this answer is useful*

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: packages@tensorflow.org 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

## The Answer 9

*5 people think this answer is useful*

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

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

## The Answer 10

*5 people think this answer is useful*

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.

## The Answer 11

*3 people think this answer is useful*

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

[username@usrnm:~] python3

`>>import keras; print(keras.__version__)`

`Using TensorFlow backend.`

`2.2.4`

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

1.12.0

## The Answer 12

*2 people think this answer is useful*

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:\WINDOWS\system32>python Python 3.6.8 |Anaconda custom (64-bit) >>> import tensorflow as tf >>> tf.__version__ '1.13.1'

## The Answer 13

*1 people think this answer is useful*

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)

## The Answer 14

*1 people think this answer is useful*

Tensorflow version in Jupyter Notebook:-

!pip list | grep tensorflow

## The Answer 15

*1 people think this answer is useful*

If you have TensorFlow 2.x:

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

## The Answer 16

*0 people think this answer is useful*

Another variation, i guess ðŸ˜›

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