在TensorFlow最新版本1.14.0中

特遣部队。版本

已弃用，而不是这种用法

tf.version.VERSION

错误:

WARNING: Logging before flag parsing goes to stderr.
The name tf.VERSION is deprecated. Please use tf.version.VERSION instead.

如果你有TensorFlow 2.x:

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

在TensorFlow最新版本1.14.0中

特遣部队。版本

已弃用，而不是这种用法

tf.version.VERSION

错误:

WARNING: Logging before flag parsing goes to stderr.
The name tf.VERSION is deprecated. Please use tf.version.VERSION instead.

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

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

import tensorflow as tf

print(tf.VERSION)