问题
The title says it all. I'm using Ubuntu 16.04 Long Term Support.
回答1:
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)
回答2:
Almost every normal package in python assigns the variable .__version__ or 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__ # or a.VERSION
For tensorflow it will be
import tensorflow as tf
tf.VERSION
For old versions of tensorflow (below 0.10), use tf.__version__
BTW, if you are planning to install tf, install it with conda, not pip
回答3:
import tensorflow as tf
print(tf.VERSION)
回答4:
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
回答5:
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'
回答6:
For python 3.6.2:
import tensorflow as tf
print(tf.version.VERSION)
回答7:
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:
回答8:
To get more information about tensorflow and its options you can use below command:
>> import tensorflow as tf
>> help(tf)
回答9:
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
回答10:
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)
回答11:
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'
回答12:
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.
回答13:
For Python 3.6.3:
import tensorflow as tf
print(tf.VERSION)
来源:https://stackoverflow.com/questions/38549253/how-to-find-which-version-of-tensorflow-is-installed-in-my-system