tf.keras.backend.clear_session

TensorFlow 1 version View source on GitHub

Destroys the current TF graph and session, and creates a new one.

Used in the notebooks

Used in the guide

Calling clear_session() releases the global graph state that Keras is holding on to; resets the counters used for naming layers and variables in Keras; and resets the learning phase. This helps avoid clutter from old models and layers, especially when memory is limited, and a common use-case for clear_session is releasing memory when building models and layers in a loop.

import tensorflow as tf
layers = [tf.keras.layers.Dense(10) for _ in range(10)]
new_layer = tf.keras.layers.Dense(10)
print(new_layer.name)
dense_10
tf.keras.backend.set_learning_phase(1)
print(tf.keras.backend.learning_phase())
1
tf.keras.backend.clear_session()
new_layer = tf.keras.layers.Dense(10)
print(new_layer.name)
dense
print(tf.keras.backend.learning_phase())
0