Tensorflow的版本可以通过以下简单的步骤在jupyter笔记本上检查。

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

如果你使用的是anaconda发行版的Python，

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

使用Jupyter Notebook (IPython Notebook)检查

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

为了了解任何版本的python库，如果您的库是使用pip安装的，则使用以下命令。

pip show tensorflow

上述命令的输出信息如下所示:-

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

我从源代码安装了Tensorflow 0.12rc，下面的命令给了我版本信息:

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

回显如下图所示:

如果你有TensorFlow 2.x:

sess =tf. compat_v1 . session (config=tf. compat_v1 . configproto (log_device_placement=True))

另一种变化，我猜:P

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