from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase    				=		logging.get_logger(__name__)

UpperCamelCase    				=		{
    '''bert-base-uncased''': '''https://huggingface.co/bert-base-uncased/resolve/main/config.json''',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}



class     snake_case_			(						__A			):
   __A      :						Tuple   =							"qdqbert"






   def __init__( self							:	Dict      ,		lowercase_							:	List[Any]=3_05_22      ,		lowercase_							:	Optional[int]=7_68      ,		lowercase_							:	Dict=12      ,		lowercase_							:	Union[str, Any]=12      ,		lowercase_							:	Tuple=30_72      ,		lowercase_							:	List[Any]="gelu"      ,		lowercase_							:	Tuple=0.1      ,		lowercase_							:	str=0.1      ,		lowercase_							:	Dict=5_12      ,		lowercase_							:	str=2      ,		lowercase_							:	int=0.02      ,		lowercase_							:	int=1E-12      ,		lowercase_							:	Union[str, Any]=True      ,		lowercase_							:	Optional[int]=1      ,		lowercase_							:	Optional[int]=0      ,		lowercase_							:	Any=2      ,		**lowercase_							:	Any      ,		)   ->		Optional[int]:
       super().__init__(pad_token_id=lowercase_      ,		bos_token_id=lowercase_      ,		eos_token_id=lowercase_      ,		**lowercase_    )

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




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase    				=		{'''configuration_dinat''': ['''DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DinatConfig''']}


try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		[
          '''DINAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''DinatForImageClassification''',
          '''DinatModel''',
          '''DinatPreTrainedModel''',
          '''DinatBackbone''',
      ]

if TYPE_CHECKING:
      from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_dinat import (
                DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DinatBackbone,
                DinatForImageClassification,
                DinatModel,
                DinatPreTrainedModel,
            )

else:
      import sys

      UpperCamelCase    				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



