'''simple docstring'''

import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING


__a:					Optional[int]			  =  logging.get_logger(__name__)

__a:					Union[str, Any]			  =  {
    '''Salesforce/instruct-blip-flan-t5''': '''https://huggingface.co/Salesforce/instruct-blip-flan-t5/resolve/main/config.json''',
}



class      UpperCAmelCase    (		a__   ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE   						=       "instructblip_vision_model"

       def __init__(		self      ,  __lowerCAmelCase=1408      ,  __lowerCAmelCase=6144      ,  __lowerCAmelCase=39      ,  __lowerCAmelCase=16      ,  __lowerCAmelCase=224      ,  __lowerCAmelCase=14      ,  __lowerCAmelCase="gelu"      ,  __lowerCAmelCase=1E-6      ,  __lowerCAmelCase=0.0      ,  __lowerCAmelCase=1E-10      ,  __lowerCAmelCase=True      ,  **__lowerCAmelCase      ,  )    ->    str:
        super().__init__(**_snake_case					)

        lowercase__							:       Optional[int]										=   hidden_size
        lowercase__							:       Optional[Any]										=   intermediate_size
        lowercase__							:       Optional[Any]										=   num_hidden_layers
        lowercase__							:       Tuple										=   num_attention_heads
        lowercase__							:       Dict										=   patch_size
        lowercase__							:       str										=   image_size
        lowercase__							:       Any										=   initializer_range
        lowercase__							:       int										=   attention_dropout
        lowercase__							:       Optional[Any]										=   layer_norm_eps
        lowercase__							:       Optional[int]										=   hidden_act
        lowercase__							:       int										=   qkv_bias


       @classmethod
       def _lowerCAmelCase(		cls      ,  __lowerCAmelCase      ,  **__lowerCAmelCase					)    ->    str:
        cls._set_token_in_kwargs(_snake_case					)

        lowercase__					,				lowercase__							:       Optional[Any]										=   cls.get_config_dict(_snake_case      ,  **_snake_case					)

        # get the vision config dict if we are loading from InstructBlipConfig
        if config_dict.get('''model_type'''					) == "instructblip":
         lowercase__							:       int										=   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(_snake_case      ,  **_snake_case					)



class      UpperCAmelCase    (		a__   ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE   						=       "instructblip_qformer"

       def __init__(		self      ,  __lowerCAmelCase=30522      ,  __lowerCAmelCase=768      ,  __lowerCAmelCase=12      ,  __lowerCAmelCase=12      ,  __lowerCAmelCase=3072      ,  __lowerCAmelCase="gelu"      ,  __lowerCAmelCase=0.1      ,  __lowerCAmelCase=0.1      ,  __lowerCAmelCase=512      ,  __lowerCAmelCase=0.0_2      ,  __lowerCAmelCase=1E-12      ,  __lowerCAmelCase=0      ,  __lowerCAmelCase="absolute"      ,  __lowerCAmelCase=2      ,  __lowerCAmelCase=1408      ,  **__lowerCAmelCase      ,  )    ->    List[str]:
        super().__init__(pad_token_id=_snake_case      ,  **_snake_case					)

        lowercase__							:       Any										=   vocab_size
        lowercase__							:       List[Any]										=   hidden_size
        lowercase__							:       Optional[Any]										=   num_hidden_layers
        lowercase__							:       List[str]										=   num_attention_heads
        lowercase__							:       List[Any]										=   hidden_act
        lowercase__							:       Union[str, Any]										=   intermediate_size
        lowercase__							:       Union[str, Any]										=   hidden_dropout_prob
        lowercase__							:       Optional[Any]										=   attention_probs_dropout_prob
        lowercase__							:       Dict										=   max_position_embeddings
        lowercase__							:       str										=   initializer_range
        lowercase__							:       Tuple										=   layer_norm_eps
        lowercase__							:       str										=   position_embedding_type
        lowercase__							:       Dict										=   cross_attention_frequency
        lowercase__							:       str										=   encoder_hidden_size


       @classmethod
       def _lowerCAmelCase(		cls      ,  __lowerCAmelCase      ,  **__lowerCAmelCase					)    ->    Union[str, Any]:
        cls._set_token_in_kwargs(_snake_case					)

        lowercase__					,				lowercase__							:       Union[str, Any]										=   cls.get_config_dict(_snake_case      ,  **_snake_case					)

        # get the qformer config dict if we are loading from InstructBlipConfig
        if config_dict.get('''model_type'''					) == "instructblip":
         lowercase__							:       Optional[int]										=   config_dict['''qformer_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(_snake_case      ,  **_snake_case					)



class      UpperCAmelCase    (		a__   ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE   						=       "instructblip"
       SCREAMING_SNAKE_CASE   						=       True

       def __init__(		self      ,  __lowerCAmelCase=None      ,  __lowerCAmelCase=None      ,  __lowerCAmelCase=None      ,  __lowerCAmelCase=32      ,  **__lowerCAmelCase					)    ->    Optional[int]:
        super().__init__(**_snake_case					)

        if vision_config is None:
         lowercase__							:       List[Any]										=   {}
         logger.info('''vision_config is None. initializing the InstructBlipVisionConfig with default values.'''					)

        if qformer_config is None:
         lowercase__							:       Optional[int]										=   {}
         logger.info('''qformer_config is None. Initializing the InstructBlipQFormerConfig with default values.'''					)

        if text_config is None:
         lowercase__							:       List[str]										=   {}
         logger.info('''text_config is None. Initializing the text config with default values (`OPTConfig`).'''					)

        lowercase__							:       Dict										=   InstructBlipVisionConfig(**_snake_case					)
        lowercase__							:       Optional[Any]										=   InstructBlipQFormerConfig(**_snake_case					)
        lowercase__							:       Optional[int]										=   text_config['''model_type'''] if '''model_type''' in text_config else '''opt'''
        lowercase__							:       Optional[Any]										=   CONFIG_MAPPING[text_model_type](**_snake_case					)

        lowercase__							:       Any										=   self.text_config.tie_word_embeddings
        lowercase__							:       List[str]										=   self.text_config.is_encoder_decoder

        lowercase__							:       Any										=   num_query_tokens
        lowercase__							:       str										=   self.vision_config.hidden_size
        lowercase__							:       Any										=   self.text_config.model_type in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
        lowercase__							:       Any										=   1.0
        lowercase__							:       Dict										=   0.0_2

       @classmethod
       def _lowerCAmelCase(		cls      ,  __lowerCAmelCase      ,  __lowerCAmelCase      ,  __lowerCAmelCase      ,  **__lowerCAmelCase      ,  )    ->    int:
        return cls(
            vision_config=vision_config.to_dict()      ,  qformer_config=qformer_config.to_dict()      ,  text_config=text_config.to_dict()      ,  **_snake_case      ,  )


       def _lowerCAmelCase(		self					)    ->    int:
        lowercase__							:       List[Any]										=   copy.deepcopy(self.__dict__					)
        lowercase__							:       int										=   self.vision_config.to_dict()
        lowercase__							:       Optional[int]										=   self.qformer_config.to_dict()
        lowercase__							:       Union[str, Any]										=   self.text_config.to_dict()
        lowercase__							:       List[Any]										=   self.__class__.model_type
        return output








"""simple docstring"""
def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    str			):
 return " ".join(input_str.split()[::-1]			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()





