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:
- pip install –upgrade pip
- pip install tensorflow==2.0.0-alpha0
- pip install keras
- pip install numpy==1.16.2
Execution:
- Execute command: import tensorflow as tf
- Execute command: sess = tf.Session()
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Answer
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