AttributeError: module 'tensorflow' has no attribute '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
To get TF 1.x like behaviour in TF 2.0 one can run
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()get_session` is not available when using TensorFlow 2.0.
Answer: In TF 2.0 you should use tf.compat.v1.Session() instead of tf.Session() Use the following code to get rid of the error in Tensorflow2.0:
import tensorflow as tf
tf.compat.v1.Session()
i.e. in your code above, replace this line self.sess = tf.compat.v1.keras.backend.get_session()of code with
self.sess = tf.compat.v1.Session()
Reference:
https://github.com/tensorflow/tensorflow/issues/26844#issuecomment-474038678Copyright © 2021 Codeinu
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