



'''simple docstring'''






import copy
import os
from typing import Union

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


lowerCAmelCase:      Tuple		 =		logging.get_logger(__name__)

lowerCAmelCase:      List[str]		 =		{
    'google/pix2struct-textcaps-base': (
        'https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'
    ),
}

class 							a__(      lowerCamelCase__			):
    lowercase__				=					"""pix2struct_text_model"""
    lowercase__				=					["""past_key_values"""]
    lowercase__				=					{
        """hidden_size""": """hidden_size""",
        """num_attention_heads""": """num_heads""",
        """num_hidden_layers""": """num_layers""",
    }







    def __init__(   self				:						List[str]		,    __snake_case				:						Union[str, Any]=5_02_44		,    __snake_case				:						int=7_68		,    __snake_case				:						int=64		,    __snake_case				:						Any=20_48		,    __snake_case				:						Any=12		,    __snake_case				:						str=12		,    __snake_case				:						Any=32		,    __snake_case				:						Union[str, Any]=1_28		,    __snake_case				:						List[Any]=0.1		,    __snake_case				:						int=1e-6		,    __snake_case				:						List[str]=1.0		,    __snake_case				:						Optional[Any]="gelu_new"		,    __snake_case				:						str=0		,    __snake_case				:						Dict=False		,    __snake_case				:						Any=0		,    __snake_case				:						int=1		,    __snake_case				:						Union[str, Any]=False		,    __snake_case				:						List[str]=True		,    **__snake_case				:						Tuple		,    ):
      a		:      str       =  vocab_size
      a		:      Union[str, Any]       =  hidden_size
      a		:      Optional[int]       =  d_kv
      a		:      str       =  d_ff
      a		:      List[str]       =  num_layers
      a		:      Dict       =  num_heads
      a		:      Union[str, Any]       =  relative_attention_num_buckets
      a		:      str       =  relative_attention_max_distance
      a		:      Tuple       =  dropout_rate
      a		:      Optional[Any]       =  layer_norm_epsilon
      a		:      Tuple       =  initializer_factor
      a		:      Optional[Any]       =  use_cache

      a		:      List[Any]       =  eos_token_id
      a		:      Tuple       =  decoder_start_token_id

      # for backwards compatibility
      a		:      List[Any]       =  dense_act_fn

      super().__init__(
          pad_token_id=__snake_case		,    eos_token_id=__snake_case		,    decoder_start_token_id=__snake_case		,    tie_word_embeddings=__snake_case		,    is_decoder=__snake_case		,    **__snake_case		,    )







    @classmethod
    def     lowercase_ (   cls				:						Optional[int]		,    __snake_case				:						Union[str, os.PathLike]		,    **__snake_case				:						Union[str, Any]			):
      cls._set_token_in_kwargs(__snake_case			)

      a     ,			a		:      List[Any]       =  cls.get_config_dict(__snake_case		,    **__snake_case			)

      # get the text config dict if we are loading from Pix2StructConfig
      if config_dict.get('model_type'			) == "pix2struct":
        a		:      Union[str, Any]       =  config_dict['text_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 							a__(      lowerCamelCase__			):
    lowercase__				=					"""pix2struct_vision_model"""







    def __init__(   self				:						List[str]		,    __snake_case				:						Tuple=7_68		,    __snake_case				:						int=7_68		,    __snake_case				:						Tuple=20_48		,    __snake_case				:						Union[str, Any]=64		,    __snake_case				:						Union[str, Any]=12		,    __snake_case				:						Tuple=12		,    __snake_case				:						Tuple="gelu_new"		,    __snake_case				:						Tuple=1e-6		,    __snake_case				:						Tuple=0.0		,    __snake_case				:						Dict=0.0		,    __snake_case				:						List[Any]=1e-1_0		,    __snake_case				:						Dict=1.0		,    __snake_case				:						Optional[Any]=40_96		,    __snake_case				:						Optional[Any]=32		,    __snake_case				:						Tuple=1_28		,    **__snake_case				:						Any		,    ):
      super().__init__(**__snake_case			)

      a		:      Union[str, Any]       =  hidden_size
      a		:      Tuple       =  patch_embed_hidden_size
      a		:      Optional[Any]       =  d_ff
      a		:      str       =  dropout_rate
      a		:      Union[str, Any]       =  num_hidden_layers
      a		:      List[str]       =  num_attention_heads
      a		:      Optional[Any]       =  initializer_range
      a		:      str       =  initializer_factor
      a		:      Tuple       =  attention_dropout
      a		:      Optional[int]       =  layer_norm_eps
      a		:      Tuple       =  dense_act_fn
      a		:      List[str]       =  seq_len
      a		:      List[Any]       =  relative_attention_num_buckets
      a		:      Union[str, Any]       =  relative_attention_max_distance
      a		:      Union[str, Any]       =  d_kv







    @classmethod
    def     lowercase_ (   cls				:						Tuple		,    __snake_case				:						Union[str, os.PathLike]		,    **__snake_case				:						List[Any]			):
      cls._set_token_in_kwargs(__snake_case			)

      a     ,			a		:      Any       =  cls.get_config_dict(__snake_case		,    **__snake_case			)

      # get the vision config dict if we are loading from Pix2StructConfig
      if config_dict.get('model_type'			) == "pix2struct":
        a		:      List[str]       =  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 							a__(      lowerCamelCase__			):
    lowercase__				=					"""pix2struct"""
    lowercase__				=					True







    def __init__(   self				:						Any		,    __snake_case				:						List[Any]=None		,    __snake_case				:						Optional[Any]=None		,    __snake_case				:						Union[str, Any]=1.0		,    __snake_case				:						Union[str, Any]=0.02		,    __snake_case				:						Optional[Any]=False		,    __snake_case				:						Tuple=False		,    __snake_case				:						Union[str, Any]=True		,    **__snake_case				:						Union[str, Any]		,    ):
      super().__init__(tie_word_embeddings=__snake_case		,    is_encoder_decoder=__snake_case		,    **__snake_case			)

      if text_config is None:
        a		:      Optional[Any]       =  {}
        logger.info('text_config is None. Initializing the Pix2StructTextConfig with default values.'			)

      if vision_config is None:
        a		:      int       =  {}
        logger.info('vision_config is None. Initializing the Pix2StructVisionConfig with default values.'			)

      a		:      Optional[int]       =  PixaStructTextConfig(**__snake_case			)
      a		:      Dict       =  PixaStructVisionConfig(**__snake_case			)

      a		:      Any       =  self.text_config.decoder_start_token_id
      a		:      Any       =  self.text_config.pad_token_id
      a		:      str       =  self.text_config.eos_token_id

      a		:      str       =  initializer_factor
      a		:      Any       =  initializer_range

      a		:      Dict       =  self.initializer_range
      a		:      str       =  self.initializer_range

      a		:      Any       =  is_vqa







    @classmethod
    def     lowercase_ (   cls				:						int		,    __snake_case				:						PixaStructTextConfig		,    __snake_case				:						PixaStructVisionConfig		,    **__snake_case				:						str			):
      return cls(text_config=text_config.to_dict()		,    vision_config=vision_config.to_dict()		,    **__snake_case			)







    def     lowercase_ (   self				:						str			):
      a		:      Any       =  copy.deepcopy(self.__dict__			)
      a		:      List[Any]       =  self.text_config.to_dict()
      a		:      Optional[int]       =  self.vision_config.to_dict()
      a		:      List[str]       =  self.__class__.model_type
      return output




'''simple docstring'''






from ..utils import DummyObject, requires_backends

class 							a__(      metaclass=lowerCamelCase__			):
    lowercase__				=					["""torch""", """torchsde"""]







    def __init__(   self				:						Any		,    *__snake_case				:						List[str]		,    **__snake_case				:						Tuple			):
      requires_backends(self		,    ['torch', 'torchsde']			)







    @classmethod
    def     lowercase_ (   cls				:						List[Any]		,    *__snake_case				:						str		,    **__snake_case				:						List[Any]			):
      requires_backends(cls		,    ['torch', 'torchsde']			)







    @classmethod
    def     lowercase_ (   cls				:						Dict		,    *__snake_case				:						Optional[Any]		,    **__snake_case				:						str			):
      requires_backends(cls		,    ['torch', 'torchsde']			)