o Ne-@spdZddlmmZddlmZddlmZ ddlm Z ddlm Z ddlmZddlmZdd lmZdd lmZdd lmZdd lmZddlmZdd lmZddlm Zddlm ZddlmZddlm Z!ddlmZ"dd lmZ#dd lmZ$dd lmZ%dd lmZ&ddl'm(Z(ddl'm)Z)ddl*mZ+ddl*m Z,ddl*m Z-ddl*mZ.ddl*mZddl*m/Z0dd l*mZ1ddl*m2Z3dd l*mZ4ddl5m6Z6ddl7m8Z8ddl9m:Z:ddl;mZ>ddl?m@Z@ddlAmBZBddlCmDZDddlEmFZFddlGmHZHddlGmIZIddlJmKZKeKdd d!ZLeKd"d,d#d$ZMeKd%gd&d'd(ZNeKd)d*d+ZOdS)-zcBuilt-in optimizer classes. For more examples see the base class `tf.keras.optimizers.Optimizer`. N)backend)adadelta)adagrad)adam)adamax)ftrl)nadam optimizer)rmsprop)sgd) adafactor)adamw) Optimizer) TFOptimizer)gradient_descent) optimizer_v2)Adadelta)Adagrad)Adam)Adamax)Ftrl)SGD)Nadam)RMSprop)learning_rate_schedule)deserialize_keras_objectserialize_keras_object) keras_exportzkeras.optimizers.serializecCst|S)a]Serialize the optimizer configuration to JSON compatible python dict. The configuration can be used for persistence and reconstruct the `Optimizer` instance again. >>> tf.keras.optimizers.serialize(tf.keras.optimizers.legacy.SGD()) {'class_name': 'SGD', 'config': {'name': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.0, 'nesterov': False}} Args: optimizer: An `Optimizer` instance to serialize. Returns: Python dict which contains the configuration of the input optimizer. rr r ID:\Projects\ConvertPro\env\Lib\site-packages\keras/optimizers/__init__.py serializeXsr"zkeras.optimizers.deserializecKsddlm}|dd}t|ddkr|ddd}tjjrJt rJ|sJt j t j tjtjt j t j tjtjtjtjtjtj|j|j|jd}n!tj tj tjtjt j t j tjtjt jt!jt"jt#j|j|j|jd}|d $|vr{|d $|d <t%|||d d S) aEInverse of the `serialize` function. Args: config: Optimizer configuration dictionary. custom_objects: Optional dictionary mapping names (strings) to custom objects (classes and functions) to be considered during deserialization. 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This function takes in a `tf.keras.optimizers.experimental.Optimizer` instance and converts it to the corresponding `tf.keras.optimizers.legacy.Optimizer` instance. For example, `tf.keras.optimizers.experimental.Adam(...)` to `tf.keras.optimizers.legacy.Adam(...)`. Args: optimizer: An instance of `tf.keras.optimizers.experimental.Optimizer`. zr`convert_to_legacy_optimizer` should only be called on instances of `tf.keras.optimizers.Optimizer`, but received z of type .)Z weight_decayZuse_emaZ ema_momentumZema_overwrite_frequencyZ jit_compiler&NZ learning_rater'r%Tr$) isinstanceoptimizer_experimentalr ValueErrortype __class____name__r?Z get_configr)Z_learning_raterZLearningRateSchedulerA)r Zoptimizer_namer%Zkeys_to_removekeyZlegacy_optimizer_configr r r!convert_to_legacy_optimizers*    rMzkeras.optimizers.getcKs|dd}t|ttjfr|St|tjr"tjj r|St |St|tj j j jr6t|}t||St|trAt||dSt|trSt|id}t||dStd|)aRetrieves a Keras Optimizer instance. Args: identifier: Optimizer identifier, one of - String: name of an optimizer - Dictionary: configuration dictionary. - Keras Optimizer instance (it will be returned unchanged). - TensorFlow Optimizer instance (it will be wrapped as a Keras Optimizer). Returns: A Keras Optimizer instance. 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