Python – Tensorflow 2.0 – AttributeError: module ‘tensorflow’ has no attribute ‘Session’

keraspythontensorflowtensorflow2.0

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'

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:

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

Execution:

  1. Execute command: import tensorflow as tf
  2. Execute command: sess = tf.Session()

Best Solution

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

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

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

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