def from_config(cls, config):
"""Creates an optimizer from its config.
This method is the reverse of `get_config`, capable of instantiating the
same optimizer from the config dictionary.
Args:
config: A Python dictionary, typically the output of get_config.
Returns:
An optimizer instance.
"""
if "learning_rate" in config:
if isinstance(config["learning_rate"], dict):
config["learning_rate"] = learning_rate_schedule.deserialize(
config["learning_rate"])
return cls(**config)
def _maybe_serialized(lr_decay, serialize_and_deserialize):
if serialize_and_deserialize:
serialized = learning_rate_schedule.serialize(lr_decay)
return learning_rate_schedule.deserialize(serialized)
else:
return lr_decay