Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'

Question

When I execute the command

sess = tf.Session()

I am getting the below error:

Traceback (most recent call last):

File "<stdin>", line 1, in <module>

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

System Information:

• OS Platform and Distribution: Windows 10
• Python Version: 3.7.1
• Tensorflow Version: 2.0.0-alpha0 (installed with pip)

Steps to reproduce:

Installation:

pip install --upgrade pip

pip install tensorflow==2.0.0-alpha0

pip install keras

pip install numpy==1.16.2

Execution:

import tensorflow as tf

Execute command: sess = tf.Session()

Answer 1

For TF 1:1 Symbols Map, in TF 2.0 you have to use:

tf.compat.v1.Session() instead of tf.Session()

But one cannot benefit many improvements made from TF 2.0.

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