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

The Question :

311 people think this question is useful

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

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

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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

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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:

enter image description here

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

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

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

The Answer 10

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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

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Tensorflow version in Jupyter Notebook:-

!pip list | grep tensorflow

The Answer 15

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If you have TensorFlow 2.x:

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

The Answer 16

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Another variation, i guess 😛

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

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