



import re
from typing import Callable, List, Optional, Union

import tensorflow as tf


try:
  from tensorflow.keras.optimizers.legacy import Adam
except ImportError:
  from tensorflow.keras.optimizers import Adam
class 				lowercase__       (   tf.keras.optimizers.schedules.LearningRateSchedule				):







       '''simple docstring'''


       def __init__(							self      :  Optional[Any]		,    _UpperCAmelCase      :  float		,    _UpperCAmelCase      :  Callable		,    _UpperCAmelCase      :  int		,    _UpperCAmelCase      :  float = 1.0		,    _UpperCAmelCase      :  str = None		,    )			->						Union[str, Any]:


             '''simple docstring'''




             super().__init__()
             UpperCAmelCase_      			=							initial_learning_rate
             UpperCAmelCase_      			=							warmup_steps
             UpperCAmelCase_      			=							power
             UpperCAmelCase_      			=							decay_schedule_fn
             UpperCAmelCase_      			=							name



       def __call__(							self      :  List[Any]		,    _UpperCAmelCase      :  int   )			->						Any:


             '''simple docstring'''




             with tf.name_scope(self.name or "WarmUp"   ) as name:
                   # Implements polynomial warmup. i.e., if global_step < warmup_steps, the
                   # learning rate will be `global_step/num_warmup_steps * init_lr`.
                   UpperCAmelCase_      			=							tf.cast(__snake_case		,    tf.floataa   )
                   UpperCAmelCase_      			=							tf.cast(self.warmup_steps		,    tf.floataa   )
                   UpperCAmelCase_      			=							global_step_float / warmup_steps_float
                   UpperCAmelCase_      			=							self.initial_learning_rate * tf.math.pow(__snake_case		,    self.power   )
                   return tf.cond(
                       global_step_float < warmup_steps_float		,    lambda: warmup_learning_rate		,    lambda: self.decay_schedule_fn(step - self.warmup_steps   )		,    name=__snake_case		,    )







       def 					lowercase__    (							self      :  Dict   )			->						Tuple:


             '''simple docstring'''




             return {
                 "initial_learning_rate": self.initial_learning_rate,
                 "decay_schedule_fn": self.decay_schedule_fn,
                 "warmup_steps": self.warmup_steps,
                 "power": self.power,
                 "name": self.name,
             }



def        a__     (				lowerCAmelCase__     ,      lowerCAmelCase__     ,      lowerCAmelCase__     ,      lowerCAmelCase__ = 0.0     ,      lowerCAmelCase__ = 0.9     ,      lowerCAmelCase__ = 0.999     ,      lowerCAmelCase__ = 1e-8     ,      lowerCAmelCase__ = None     ,      lowerCAmelCase__ = None     ,      lowerCAmelCase__ = 0.0     ,      lowerCAmelCase__ = 1.0     ,      lowerCAmelCase__ = None     ,      ):
      UpperCAmelCase_      			=							tf.keras.optimizers.schedules.PolynomialDecay(
          initial_learning_rate=_A     ,      decay_steps=num_train_steps - num_warmup_steps     ,      end_learning_rate=init_lr * min_lr_ratio     ,      power=_A     ,      )
      if num_warmup_steps:
            UpperCAmelCase_      			=							WarmUp(
                initial_learning_rate=_A     ,      decay_schedule_fn=_A     ,      warmup_steps=_A     ,      )
      if weight_decay_rate > 0.0:
            UpperCAmelCase_      			=							AdamWeightDecay(
                learning_rate=_A     ,      weight_decay_rate=_A     ,      beta_a=_A     ,      beta_a=_A     ,      epsilon=_A     ,      clipnorm=_A     ,      global_clipnorm=_A     ,      exclude_from_weight_decay=["LayerNorm", "layer_norm", "bias"]     ,      include_in_weight_decay=_A     ,      )
      else:
            UpperCAmelCase_      			=							tf.keras.optimizers.Adam(
                learning_rate=_A     ,      beta_a=_A     ,      beta_a=_A     ,      epsilon=_A     ,      clipnorm=_A     ,      global_clipnorm=_A     ,      )
      # We return the optimizer and the LR scheduler in order to better track the
      # evolution of the LR independently of the optimizer.
      return optimizer, lr_schedule
class 				lowercase__       (   lowerCamelCase__				):







       '''simple docstring'''


       def __init__(							self      :  Union[str, Any]		,    _UpperCAmelCase      :  Union[float, tf.keras.optimizers.schedules.LearningRateSchedule] = 0.001		,    _UpperCAmelCase      :  float = 0.9		,    _UpperCAmelCase      :  float = 0.999		,    _UpperCAmelCase      :  float = 1e-7		,    _UpperCAmelCase      :  bool = False		,    _UpperCAmelCase      :  float = 0.0		,    _UpperCAmelCase      :  Optional[List[str]] = None		,    _UpperCAmelCase      :  Optional[List[str]] = None		,    _UpperCAmelCase      :  str = "AdamWeightDecay"		,    **_UpperCAmelCase      :  Optional[int]		,    )			->						List[Any]:


             '''simple docstring'''




             super().__init__(__snake_case		,    __snake_case		,    __snake_case		,    __snake_case		,    __snake_case		,    __snake_case		,    **__snake_case   )
             UpperCAmelCase_      			=							weight_decay_rate
             UpperCAmelCase_      			=							include_in_weight_decay
             UpperCAmelCase_      			=							exclude_from_weight_decay



       @classmethod
       def 					lowercase__    (							cls      :  Any		,    _UpperCAmelCase      :  Optional[Any]   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							{'WarmUp': WarmUp}
             return super(__snake_case		,    cls   ).from_config(__snake_case		,    custom_objects=__snake_case   )



       def 					lowercase__    (							self      :  str		,    _UpperCAmelCase      :  Optional[int]		,    _UpperCAmelCase      :  Dict		,    _UpperCAmelCase      :  Optional[int]   )			->						Any:


             '''simple docstring'''




             super(__snake_case		,    self   )._prepare_local(__snake_case		,    __snake_case		,    __snake_case   )
             UpperCAmelCase_      			=							tf.constant(
                 self.weight_decay_rate		,    name="adam_weight_decay_rate"   )



       def 					lowercase__    (							self      :  int		,    _UpperCAmelCase      :  Dict		,    _UpperCAmelCase      :  List[Any]		,    _UpperCAmelCase      :  str   )			->						str:


             '''simple docstring'''




             UpperCAmelCase_      			=							self._do_use_weight_decay(var.name   )
             if do_decay:
                   return var.assign_sub(
                       learning_rate * var * apply_state[(var.device, var.dtype.base_dtype)]["weight_decay_rate"]		,    use_locking=self._use_locking		,    )
             return tf.no_op()



       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  List[str]		,    _UpperCAmelCase      :  Any=None		,    **_UpperCAmelCase      :  Tuple   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							list(zip(*__snake_case   )   )
             return super(__snake_case		,    self   ).apply_gradients(zip(__snake_case		,    __snake_case   )		,    name=__snake_case		,    **__snake_case   )



       def 					lowercase__    (							self      :  List[Any]		,    _UpperCAmelCase      :  List[str]		,    _UpperCAmelCase      :  Union[str, Any]		,    _UpperCAmelCase      :  Optional[int]   )			->						Any:


             '''simple docstring'''




             if apply_state is None:
                   return self._decayed_lr_t[var_dtype], {}

             UpperCAmelCase_      			=							apply_state or {}
             UpperCAmelCase_      			=							apply_state.get((var_device, var_dtype)   )
             if coefficients is None:
                   UpperCAmelCase_      			=							self._fallback_apply_state(__snake_case		,    __snake_case   )
                   UpperCAmelCase_      			=							coefficients

             return coefficients["lr_t"], {"apply_state": apply_state}



       def 					lowercase__    (							self      :  Dict		,    _UpperCAmelCase      :  Union[str, Any]		,    _UpperCAmelCase      :  Dict		,    _UpperCAmelCase      :  Tuple=None   )			->						int:


             '''simple docstring'''




             UpperCAmelCase_      			=							self._get_lr(var.device		,    var.dtype.base_dtype		,    __snake_case   )
             UpperCAmelCase_      			=							self._decay_weights_op(__snake_case		,    __snake_case		,    __snake_case   )
             with tf.control_dependencies([decay]   ):
                   return super(__snake_case		,    self   )._resource_apply_dense(__snake_case		,    __snake_case		,    **__snake_case   )



       def 					lowercase__    (							self      :  Any		,    _UpperCAmelCase      :  Optional[Any]		,    _UpperCAmelCase      :  Optional[Any]		,    _UpperCAmelCase      :  List[str]		,    _UpperCAmelCase      :  int=None   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							self._get_lr(var.device		,    var.dtype.base_dtype		,    __snake_case   )
             UpperCAmelCase_      			=							self._decay_weights_op(__snake_case		,    __snake_case		,    __snake_case   )
             with tf.control_dependencies([decay]   ):
                   return super(__snake_case		,    self   )._resource_apply_sparse(__snake_case		,    __snake_case		,    __snake_case		,    **__snake_case   )



       def 					lowercase__    (							self      :  Optional[Any]   )			->						List[str]:


             '''simple docstring'''




             UpperCAmelCase_      			=							super().get_config()
             config.update({"weight_decay_rate": self.weight_decay_rate}   )
             return config







       def 					lowercase__    (							self      :  List[str]		,    _UpperCAmelCase      :  Dict   )			->						Optional[int]:


             '''simple docstring'''




             if self.weight_decay_rate == 0:
                   return False

             if self._include_in_weight_decay:
                   for r in self._include_in_weight_decay:
                         if re.search(__snake_case		,    __snake_case   ) is not None:
                               return True

             if self._exclude_from_weight_decay:
                   for r in self._exclude_from_weight_decay:
                         if re.search(__snake_case		,    __snake_case   ) is not None:
                               return False
             return True



class 				lowercase__       (   lowerCamelCase__				):







       '''simple docstring'''


       def __init__(							self      :  List[str]   )			->						List[Any]:


             '''simple docstring'''




             UpperCAmelCase_      			=							[]
             UpperCAmelCase_      			=							None



       @property
       def 					lowercase__    (							self      :  Any   )			->						str:


             '''simple docstring'''




             if self._accum_steps is None:
                   UpperCAmelCase_      			=							tf.Variable(
                       tf.constant(0		,    dtype=tf.intaa   )		,    trainable=__snake_case		,    synchronization=tf.VariableSynchronization.ON_READ		,    aggregation=tf.VariableAggregation.ONLY_FIRST_REPLICA		,    )

             return self._accum_steps.value()



       @property
       def 					lowercase__    (							self      :  Optional[int]   )			->						int:


             '''simple docstring'''




             if not self._gradients:
                   raise ValueError("The accumulator should be called first to initialize the gradients"   )
             return [gradient.value() if gradient is not None else gradient for gradient in self._gradients]



       def __call__(							self      :  List[Any]		,    _UpperCAmelCase      :  Any   )			->						Optional[int]:


             '''simple docstring'''




             if not self._gradients:
                   UpperCAmelCase_      			=							self.step  # Create the step variable.
                   self._gradients.extend(
                       [
                           tf.Variable(
                               tf.zeros_like(__snake_case   )		,    trainable=__snake_case		,    synchronization=tf.VariableSynchronization.ON_READ		,    aggregation=tf.VariableAggregation.ONLY_FIRST_REPLICA		,    )
                           if gradient is not None
                           else gradient
                           for gradient in gradients
                       ]   )
             if len(__snake_case   ) != len(self._gradients   ):
                   raise ValueError(F"""Expected {len(self._gradients   )} gradients, but got {len(__snake_case   )}"""   )

             for accum_gradient, gradient in zip(self._gradients		,    __snake_case   ):
                   if accum_gradient is not None and gradient is not None:
                         accum_gradient.assign_add(__snake_case   )

             self._accum_steps.assign_add(1   )







       def 					lowercase__    (							self      :  Tuple   )			->						Dict:


             '''simple docstring'''




             if not self._gradients:
                   return
             self._accum_steps.assign(0   )
             for gradient in self._gradients:
                   if gradient is not None:
                         gradient.assign(tf.zeros_like(__snake_case   )   )









"""simple docstring"""





from ..utils import DummyObject, requires_backends
class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Tuple		,    *_UpperCAmelCase      :  str		,    **_UpperCAmelCase      :  Any   )			->						List[str]:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  Tuple   )			->						List[Any]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  List[Any]		,    **_UpperCAmelCase      :  str   )			->						int:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  Any		,    **_UpperCAmelCase      :  Tuple   )			->						str:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  str		,    *_UpperCAmelCase      :  Optional[int]		,    **_UpperCAmelCase      :  int   )			->						Any:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[str]		,    *_UpperCAmelCase      :  Optional[Any]		,    **_UpperCAmelCase      :  Optional[int]   )			->						Dict:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  Dict   )			->						str:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Optional[int]		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  List[Any]   )			->						List[str]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  Dict		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						int:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Any		,    *_UpperCAmelCase      :  str		,    **_UpperCAmelCase      :  Tuple   )			->						Optional[int]:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  str		,    *_UpperCAmelCase      :  Optional[Any]		,    **_UpperCAmelCase      :  List[str]   )			->						str:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  int		,    *_UpperCAmelCase      :  Any		,    **_UpperCAmelCase      :  int   )			->						Dict:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  str		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  Dict   )			->						Tuple:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Optional[Any]		,    *_UpperCAmelCase      :  List[str]		,    **_UpperCAmelCase      :  List[Any]   )			->						List[Any]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  int   )			->						Optional[Any]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Dict		,    *_UpperCAmelCase      :  Any		,    **_UpperCAmelCase      :  Optional[Any]   )			->						int:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  str		,    **_UpperCAmelCase      :  List[str]   )			->						Any:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[str]		,    *_UpperCAmelCase      :  str		,    **_UpperCAmelCase      :  Optional[Any]   )			->						Tuple:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Union[str, Any]		,    *_UpperCAmelCase      :  Optional[int]		,    **_UpperCAmelCase      :  Tuple   )			->						str:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  str		,    *_UpperCAmelCase      :  Union[str, Any]		,    **_UpperCAmelCase      :  Union[str, Any]   )			->						List[str]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  Optional[int]		,    **_UpperCAmelCase      :  Optional[Any]   )			->						str:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Optional[Any]		,    *_UpperCAmelCase      :  str		,    **_UpperCAmelCase      :  int   )			->						Union[str, Any]:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Union[str, Any]		,    *_UpperCAmelCase      :  Optional[Any]		,    **_UpperCAmelCase      :  List[Any]   )			->						str:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  str   )			->						List[str]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  List[str]		,    *_UpperCAmelCase      :  Optional[int]		,    **_UpperCAmelCase      :  Optional[int]   )			->						Tuple:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Union[str, Any]		,    *_UpperCAmelCase      :  Optional[int]		,    **_UpperCAmelCase      :  str   )			->						Union[str, Any]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  Optional[int]		,    *_UpperCAmelCase      :  Any		,    **_UpperCAmelCase      :  List[str]   )			->						Optional[int]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Optional[Any]		,    *_UpperCAmelCase      :  Union[str, Any]		,    **_UpperCAmelCase      :  Optional[Any]   )			->						Tuple:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Optional[int]		,    *_UpperCAmelCase      :  Union[str, Any]		,    **_UpperCAmelCase      :  Dict   )			->						Any:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[str]		,    *_UpperCAmelCase      :  List[str]		,    **_UpperCAmelCase      :  Optional[Any]   )			->						List[str]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Tuple		,    *_UpperCAmelCase      :  List[str]		,    **_UpperCAmelCase      :  Optional[int]   )			->						Tuple:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Any		,    *_UpperCAmelCase      :  Tuple		,    **_UpperCAmelCase      :  Optional[int]   )			->						Any:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  List[Any]		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  int   )			->						int:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  Tuple		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  Any   )			->						List[Any]:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  str		,    *_UpperCAmelCase      :  int		,    **_UpperCAmelCase      :  str   )			->						Any:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  int		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  List[Any]   )			->						Dict:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )



class 				lowercase__       (   metaclass=SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					['''flax''']



       def __init__(							self      :  int		,    *_UpperCAmelCase      :  Any		,    **_UpperCAmelCase      :  int   )			->						Union[str, Any]:


             '''simple docstring'''




             requires_backends(self		,    ["flax"]   )



       @classmethod
       def 					lowercase__    (							cls      :  Optional[int]		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  Dict   )			->						Dict:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )







       @classmethod
       def 					lowercase__    (							cls      :  str		,    *_UpperCAmelCase      :  Dict		,    **_UpperCAmelCase      :  Any   )			->						List[str]:


             '''simple docstring'''




             requires_backends(cls		,    ["flax"]   )




