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)
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__