tf.keras.backend.clear_session
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Destroys the current TF graph and session, and creates a new one.
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tf.compat.v1.keras.backend.clear_session
tf.keras.backend.clear_session()
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
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Last updated 2020-10-01 UTC.
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