

from packaging import version

from .import_utils import is_accelerate_available


if is_accelerate_available():
							import accelerate






def 					lowerCamelCase_     (							UpperCAmelCase_							:     Any	)						->				List[Any]:




	'''simple docstring'''




	if not is_accelerate_available():
		return method
	_UpperCamelCase   :		str			=						version.parse(accelerate.__version__	).base_version
	if version.parse(UpperCAmelCase_	) < version.parse('0.17.0'	):
		return method

	def wrapper(self							:     Tuple							,       *UpperCAmelCase_							:     int							,       **UpperCAmelCase_							:     str	):
		if hasattr(self							,       '_hf_hook'	) and hasattr(self._hf_hook							,       'pre_forward'	):
			self._hf_hook.pre_forward(self	)
		return method(self							,       *UpperCAmelCase_							,       **UpperCAmelCase_	)

	return wrapper







import logging

from transformers.configuration_utils import PretrainedConfig


lowerCAmelCase__								=		logging.getLogger(__name__)







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "masked_bert"


		def __init__(				self	,       __snake_case=3_05_22	,       __snake_case=7_68	,       __snake_case=12	,       __snake_case=12	,       __snake_case=30_72	,       __snake_case="gelu"	,       __snake_case=0.1	,       __snake_case=0.1	,       __snake_case=5_12	,       __snake_case=2	,       __snake_case=0.0_2	,       __snake_case=1e-12	,       __snake_case=0	,       __snake_case="topK"	,       __snake_case="constant"	,       __snake_case=0.0	,       **__snake_case	,       ):
			super().__init__(pad_token_id=__snake_case	,       **__snake_case)

			_UpperCamelCase   :		List[Any]			=						vocab_size
			_UpperCamelCase   :		Union[str, Any]			=						hidden_size
			_UpperCamelCase   :		Optional[int]			=						num_hidden_layers
			_UpperCamelCase   :		Any			=						num_attention_heads
			_UpperCamelCase   :		int			=						hidden_act
			_UpperCamelCase   :		str			=						intermediate_size
			_UpperCamelCase   :		str			=						hidden_dropout_prob
			_UpperCamelCase   :		Any			=						attention_probs_dropout_prob
			_UpperCamelCase   :		Tuple			=						max_position_embeddings
			_UpperCamelCase   :		Dict			=						type_vocab_size
			_UpperCamelCase   :		str			=						initializer_range
			_UpperCamelCase   :		List[Any]			=						layer_norm_eps
			_UpperCamelCase   :		Tuple			=						pruning_method
			_UpperCamelCase   :		Tuple			=						mask_init
			_UpperCamelCase   :		Dict			=						mask_scale




