Add doctest for tf.keras.backend.clear_session
PiperOrigin-RevId: 296504993 Change-Id: I42f503b0867fb4549f0d1280b5658fd43e4c67e0
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@ -257,9 +257,29 @@ def reset_uids():
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@keras_export('keras.backend.clear_session')
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def clear_session():
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"""Destroys the current TF graph and creates a new one.
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"""Destroys the current TF graph and session, and creates a new one.
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Useful to avoid clutter from old models / layers.
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Calling clear_session() releases the global graph state that Keras is
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holding on to; resets the counters used for naming layers and
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variables in Keras; and resets the learning phase. This helps avoid clutter
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from old models and layers, especially when memory is limited, and a
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common use-case for clear_session is releasing memory when building models
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and layers in a loop.
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>>> import tensorflow as tf
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>>> layers = [tf.keras.layers.Dense(10) for _ in range(10)]
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>>> new_layer = tf.keras.layers.Dense(10)
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>>> print(new_layer.name)
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dense_10
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>>> tf.keras.backend.set_learning_phase(1)
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>>> print(tf.keras.backend.learning_phase())
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1
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>>> tf.keras.backend.clear_session()
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>>> new_layer = tf.keras.layers.Dense(10)
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>>> print(new_layer.name)
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dense
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>>> print(tf.keras.backend.learning_phase())
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0
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"""
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global _SESSION
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global _GRAPH_LEARNING_PHASES # pylint: disable=global-variable-not-assigned
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