






import copy
import os
from typing import Union

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


__lowerCamelCase						:		Tuple				      = logging.get_logger(__name__)

__lowerCamelCase						:		str				      = {
    """microsoft/git-base""": """https://huggingface.co/microsoft/git-base/resolve/main/config.json""",
}







class 			_lowercase ( __lowercase    ):
      _a				:    Tuple				      =				"git_vision_model"
      def __init__(  self					,      a=7_6_8					,      a=3_0_7_2					,      a=1_2					,      a=1_2					,      a=3					,      a=2_2_4					,      a=1_6					,      a="quick_gelu"					,      a=1e-5					,      a=0.0					,      a=0.02					,      **a					,      ):
       super().__init__(**a )

       snake_case__	:     Optional[Any]											=hidden_size
       snake_case__	:     Optional[Any]											=intermediate_size
       snake_case__	:     Tuple											=num_hidden_layers
       snake_case__	:     Optional[int]											=num_attention_heads
       snake_case__	:     Any											=num_channels
       snake_case__	:     Dict											=patch_size
       snake_case__	:     Optional[int]											=image_size
       snake_case__	:     int											=initializer_range
       snake_case__	:     List[str]											=attention_dropout
       snake_case__	:     int											=layer_norm_eps
       snake_case__	:     Union[str, Any]											=hidden_act



      @classmethod
      def     lowercase__       (  cls					,      a					,      **a ):
       cls._set_token_in_kwargs(a )

       snake_case__							, snake_case__	:     List[str]											=cls.get_config_dict(a					,      **a )

       # get the vision config dict if we are loading from GITConfig
       if config_dict.get("""model_type""" ) == "git":
        snake_case__	:     Any											=config_dict["""vision_config"""]

       if "model_type" in config_dict and hasattr(cls					,      """model_type""" ) and config_dict["model_type"] != cls.model_type:
        logger.warning(
            F"You are using a model of type {config_dict['model_type']} to instantiate a model of type "
            F"{cls.model_type}. This is not supported for all configurations of models and can yield errors." )

       return cls.from_dict(a					,      **a )







class 			_lowercase ( __lowercase    ):
      _a				:    Tuple				      =				"git"
      def __init__(  self					,      a=None					,      a=3_0_5_2_2					,      a=7_6_8					,      a=6					,      a=1_2					,      a=3_0_7_2					,      a="gelu"					,      a=0.1					,      a=0.1					,      a=1_0_2_4					,      a=0.02					,      a=1e-12					,      a=0					,      a="absolute"					,      a=True					,      a=False					,      a=1_0_1					,      a=1_0_2					,      a=None					,      **a					,      ):
       super().__init__(bos_token_id=a					,      eos_token_id=a					,      pad_token_id=a					,      **a )

       if vision_config is None:
        snake_case__	:     Union[str, Any]											={}
        logger.info("""vision_config is None. initializing the GitVisionConfig with default values.""" )

       snake_case__	:     Tuple											=GitVisionConfig(**a )
       snake_case__	:     Union[str, Any]											=vocab_size
       snake_case__	:     Any											=hidden_size
       snake_case__	:     Tuple											=num_hidden_layers
       snake_case__	:     Union[str, Any]											=num_attention_heads
       snake_case__	:     Optional[int]											=hidden_act
       snake_case__	:     str											=intermediate_size
       snake_case__	:     Optional[int]											=hidden_dropout_prob
       snake_case__	:     Any											=attention_probs_dropout_prob
       snake_case__	:     int											=max_position_embeddings
       snake_case__	:     int											=initializer_range
       snake_case__	:     Union[str, Any]											=layer_norm_eps
       snake_case__	:     Tuple											=position_embedding_type
       snake_case__	:     str											=use_cache
       snake_case__	:     Optional[int]											=tie_word_embeddings
       snake_case__	:     List[Any]											=num_image_with_embedding

       snake_case__	:     Tuple											=bos_token_id
       snake_case__	:     Dict											=eos_token_id



      def     lowercase__       (  self ):
       snake_case__	:     Any											=copy.deepcopy(self.__dict__ )
       snake_case__	:     Tuple											=self.vision_config.to_dict()
       snake_case__	:     str											=self.__class__.model_type
       return output







from abc import ABC, abstractmethod
from argparse import ArgumentParser







class 							lowerCAmelCase__   ( __lowercase						):

						@staticmethod
						@abstractmethod
						def 			A_					(      a					)       ->   Union[str, Any]:


								'''simple docstring'''

								raise NotImplementedError()







						@abstractmethod
						def 			A_					(      self					)       ->   List[Any]:


								'''simple docstring'''

								raise NotImplementedError()



