"""simple docstring"""





from ...configuration_utils import PretrainedConfig


class      UpperCAmelCase_	(    _a):
      lowerCamelCase__		:    int   =  "bert-generation"


      def __init__(   self		,			a=5_0_3_5_8		,			a=1_0_2_4		,			a=2_4		,			a=1_6		,			a=4_0_9_6		,			a="gelu"		,			a=0.1		,			a=0.1		,			a=5_1_2		,			a=0.02		,			a=1e-12		,			a=0		,			a=2		,			a=1		,			a="absolute"		,			a=True		,			**a		,			)       ->					Optional[int]:
             super().__init__(pad_token_id=a		,			bos_token_id=a		,			eos_token_id=a		,			**a							)

             lowercase__			:		List[Any]       =	vocab_size
             lowercase__			:		List[str]       =	hidden_size
             lowercase__			:		Any       =	num_hidden_layers
             lowercase__			:		str       =	num_attention_heads
             lowercase__			:		List[str]       =	hidden_act
             lowercase__			:		str       =	intermediate_size
             lowercase__			:		List[Any]       =	hidden_dropout_prob
             lowercase__			:		str       =	attention_probs_dropout_prob
             lowercase__			:		Union[str, Any]       =	max_position_embeddings
             lowercase__			:		Optional[Any]       =	initializer_range
             lowercase__			:		str       =	layer_norm_eps
             lowercase__			:		Tuple       =	position_embedding_type
             lowercase__			:		Tuple       =	use_cache



import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu




@require_cpu
class        UpperCAmelCase_			( unittest.TestCase     ):


  '''simple docstring'''







  def 							_lowercase							( self			: List[Any]    )			->	Union[str, Any]:







    """simple docstring"""






    __magic_name__				     =       torch.nn.Linear(10			,							10    )
    __magic_name__				     =       torch.optim.SGD(model.parameters()			,							0.1    )
    __magic_name__				     =       Accelerator()
    __magic_name__				     =       accelerator.prepare(UpperCamelCase__    )
    try:
      pickle.loads(pickle.dumps(UpperCamelCase__    )    )
    except Exception as e:
      self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
    AcceleratorState._reset_state()

