


'''simple docstring'''






from ...configuration_utils import PretrainedConfig




class 	a__       (							a__						):





							'''simple docstring'''






							lowercase__    :     Union[str, Any]					=   "bert-generation"







							def __init__(	self      ,					lowerCamelCase_=5_03_58      ,					lowerCamelCase_=10_24      ,					lowerCamelCase_=24      ,					lowerCamelCase_=16      ,					lowerCamelCase_=40_96      ,					lowerCamelCase_="gelu"      ,					lowerCamelCase_=0.1      ,					lowerCamelCase_=0.1      ,					lowerCamelCase_=5_12      ,					lowerCamelCase_=0.02      ,					lowerCamelCase_=1e-12      ,					lowerCamelCase_=0      ,					lowerCamelCase_=2      ,					lowerCamelCase_=1      ,					lowerCamelCase_="absolute"      ,					lowerCamelCase_=True      ,					**lowerCamelCase_      ,					) ->							Optional[Any]:
														super().__init__(pad_token_id=__UpperCamelCase      ,					bos_token_id=__UpperCamelCase      ,					eos_token_id=__UpperCamelCase      ,					**__UpperCamelCase     )

														lowerCAmelCase__      =			vocab_size
														lowerCAmelCase__      =			hidden_size
														lowerCAmelCase__      =			num_hidden_layers
														lowerCAmelCase__      =			num_attention_heads
														lowerCAmelCase__      =			hidden_act
														lowerCAmelCase__      =			intermediate_size
														lowerCAmelCase__      =			hidden_dropout_prob
														lowerCAmelCase__      =			attention_probs_dropout_prob
														lowerCAmelCase__      =			max_position_embeddings
														lowerCAmelCase__      =			initializer_range
														lowerCAmelCase__      =			layer_norm_eps
														lowerCAmelCase__      =			position_embedding_type
														lowerCAmelCase__      =			use_cache



'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCAmelCase					       =							{
    '''configuration_poolformer''': [
        '''POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''PoolFormerConfig''',
        '''PoolFormerOnnxConfig''',
    ]
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase					       =							['''PoolFormerFeatureExtractor''']
		__UpperCAmelCase					       =							['''PoolFormerImageProcessor''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase					       =							[
		    '''POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''PoolFormerForImageClassification''',
		    '''PoolFormerModel''',
		    '''PoolFormerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_poolformer import (
		    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    PoolFormerConfig,
		    PoolFormerOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_poolformer import PoolFormerFeatureExtractor
				from .image_processing_poolformer import PoolFormerImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_poolformer import (
				    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PoolFormerForImageClassification,
				    PoolFormerModel,
				    PoolFormerPreTrainedModel,
				)


else:
		import sys

		__UpperCAmelCase					       =							_LazyModule(__name__, globals()['''__file__'''], _import_structure)