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

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

系统信息：

• 操作系统平台和发行版：Windows 10
• python版本：3.7.1
• Tensorflow版本：2.0.0-alpha0（随pip一起安装）

重现步骤：

安装：

1. 点安装-升级点
2. pip install tensorflow == 2.0.0-alpha0
3. 点安装keras
4. 点安装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（）

我正在Google Colab上测试代码。似乎Google Colab默认运行Tensorflow的版本2：

[In:]
import tensorflow as tf
print(tf.__version__)

[Out:]
2.0.0-dev20190130

并且该版本没有急切执行的功能：

[In:]
tf.enable_eager_execution()

[Out:]
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-5-ddf3115bdcc7> in <module>()
----> 1 tf.enable_eager_execution()

AttributeError: module 'tensorflow' has no attribute 'enable_eager_execution'

我在TensorFlow 2上找不到文档。我也无法运行TensorFlow的旧版本：

[In:]
!pip install tensorflow==1.12.0
import tensorflow as tf
print(tf.__version__)

[Out:]
Requirement already satisfied: tensorflow==1.12.0 in /usr/local/lib/python3.6/dist-packages (1.12.0)
Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.12.0) (1.11.0)
Requirement already satisfied: absl-py>=0.1.6 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.12.0) (0.7.0)
Requirement already satisfied: astor>=0.6.0 in /usr/local/lib/python3.6/dist-packages (from tensorflow==1.12.0) …