




'''simple docstring'''







import copy

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


A									=logging.get_logger(__name__)


class     _a						(			__a				):
       __a       :  Dict            =      """encoder-decoder"""
       __a       :  Optional[int]            =      True
       def __init__(			self		:			Optional[int]     ,       **lowercase		:			List[str]       ):



           '''simple docstring'''

           super().__init__(**lowercase       )
           assert (
               "encoder" in kwargs and "decoder" in kwargs
           ), "Config has to be initialized with encoder and decoder config"
           UpperCAmelCase     =	kwargs.pop('''encoder'''       )
           UpperCAmelCase     =	encoder_config.pop('''model_type'''       )
           UpperCAmelCase     =	kwargs.pop('''decoder'''       )
           UpperCAmelCase     =	decoder_config.pop('''model_type'''       )

           from ..auto.configuration_auto import AutoConfig

           UpperCAmelCase     =	AutoConfig.for_model(lowercase     ,       **lowercase       )
           UpperCAmelCase     =	AutoConfig.for_model(lowercase     ,       **lowercase       )
           UpperCAmelCase     =	True
       @classmethod
       def 					A   (			cls		:			Optional[int]     ,       lowercase		:			PretrainedConfig     ,       lowercase		:			PretrainedConfig     ,       **lowercase		:			Tuple       ):



           '''simple docstring'''

           logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''       )
           UpperCAmelCase     =	True
           UpperCAmelCase     =	True

           return cls(encoder=encoder_config.to_dict()     ,       decoder=decoder_config.to_dict()     ,       **lowercase       )







       def 					A   (			self		:			str       ):



           '''simple docstring'''

           UpperCAmelCase     =	copy.deepcopy(self.__dict__       )
           UpperCAmelCase     =	self.encoder.to_dict()
           UpperCAmelCase     =	self.decoder.to_dict()
           UpperCAmelCase     =	self.__class__.model_type
           return output










'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A									={
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   A									=[
       'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'TableTransformerForObjectDetection',
       'TableTransformerModel',
       'TableTransformerPreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_table_transformer import (
       TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       TableTransformerConfig,
       TableTransformerOnnxConfig,
   )

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_table_transformer import (
          TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TableTransformerForObjectDetection,
          TableTransformerModel,
          TableTransformerPreTrainedModel,
      )

else:
   import sys

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




