Tensorflow 2.0-AttributeError:模块"tensorflow"没有属性"Session" [英] Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'

问题描述

在Tensorflow 2.0环境中执行命令sess = tf.Session()时，出现如下错误消息:

When I am executing the command sess = tf.Session() in Tensorflow 2.0 environment, I am getting an error message as below:

Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'tensorflow' has no attribute 'Session'

系统信息:

System Information:

• OS平台和发行版:Windows 10
• Python版本:3.7.1
• Tensorflow版本:2.0.0-alpha0(与pip一起安装)

复制步骤:

Steps to reproduce:

安装:

1. pip install --upgrade pip
2. 点安装tensorflow == 2.0.0-alpha0
3. pip install keras
4. pip install numpy == 1.16.2
1. pip install --upgrade pip
2. pip install tensorflow==2.0.0-alpha0
3. pip install keras
4. pip install numpy==1.16.2

执行:

1. 执行命令:将tensorflow导入为tf
2. 执行命令:sess = tf.Session()

推荐答案

根据TF 1:1 Symbols Map，在TF 2.0中，您应该使用tf.compat.v1.Session()而不是tf.Session()

According to TF 1:1 Symbols Map, in TF 2.0 you should use tf.compat.v1.Session() instead of tf.Session()

https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid = 0

要获得TF 2.0中类似TF 1.x的行为，可以运行

To get TF 1.x like behaviour in TF 2.0 one can run

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

但是，这样的开发人员无法从TF 2.0中进行的许多改进中受益.有关更多详细信息，请参阅迁移指南 https://www.tensorflow.org/guide/migrate

but then one cannot benefit of many improvements made in TF 2.0. For more details please refer to the migration guide https://www.tensorflow.org/guide/migrate

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