





import copy
import os
from typing import Union

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


UpperCamelCase__											= logging.get_logger(__name__)

UpperCamelCase__											= {
    "google/pix2struct-textcaps-base": (
        "https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"
    ),
}

class        __SCREAMING_SNAKE_CASE					(     _a       ):
       snake_case     :      Optional[int]						     =       """pix2struct_text_model"""
       snake_case     :      Optional[Any]						     =       ["""past_key_values"""]
       snake_case     :      List[str]						     =       {
           """hidden_size""": """hidden_size""",
           """num_attention_heads""": """num_heads""",
           """num_hidden_layers""": """num_layers""",
       }






       def __init__(						self  , __lowerCAmelCase=50244  , __lowerCAmelCase=768  , __lowerCAmelCase=64  , __lowerCAmelCase=2048  , __lowerCAmelCase=12  , __lowerCAmelCase=12  , __lowerCAmelCase=32  , __lowerCAmelCase=128  , __lowerCAmelCase=0.1  , __lowerCAmelCase=1E-6  , __lowerCAmelCase=1.0  , __lowerCAmelCase="gelu_new"  , __lowerCAmelCase=0  , __lowerCAmelCase=False  , __lowerCAmelCase=0  , __lowerCAmelCase=1  , __lowerCAmelCase=False  , __lowerCAmelCase=True  , **__lowerCAmelCase  , ):
              UpperCamelCase__				     =			vocab_size
              UpperCamelCase__				     =			hidden_size
              UpperCamelCase__				     =			d_kv
              UpperCamelCase__				     =			d_ff
              UpperCamelCase__				     =			num_layers
              UpperCamelCase__				     =			num_heads
              UpperCamelCase__				     =			relative_attention_num_buckets
              UpperCamelCase__				     =			relative_attention_max_distance
              UpperCamelCase__				     =			dropout_rate
              UpperCamelCase__				     =			layer_norm_epsilon
              UpperCamelCase__				     =			initializer_factor
              UpperCamelCase__				     =			use_cache

              UpperCamelCase__				     =			eos_token_id
              UpperCamelCase__				     =			decoder_start_token_id

              # for backwards compatibility
              UpperCamelCase__				     =			dense_act_fn

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







       @classmethod
       def 				_lowerCamelCase		(						cls  , __lowerCAmelCase  , **__lowerCAmelCase  ):
              cls._set_token_in_kwargs(__lowerCAmelCase  )

              UpperCamelCase__     ,     UpperCamelCase__				     =			cls.get_config_dict(__lowerCAmelCase  , **__lowerCAmelCase  )

              # get the text config dict if we are loading from Pix2StructConfig
              if config_dict.get("""model_type"""  ) == "pix2struct":
                     UpperCamelCase__				     =			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(__lowerCAmelCase  , **__lowerCAmelCase  )






class        __SCREAMING_SNAKE_CASE					(     _a       ):
       snake_case     :      Union[str, Any]						     =       """pix2struct_vision_model"""






       def __init__(						self  , __lowerCAmelCase=768  , __lowerCAmelCase=768  , __lowerCAmelCase=2048  , __lowerCAmelCase=64  , __lowerCAmelCase=12  , __lowerCAmelCase=12  , __lowerCAmelCase="gelu_new"  , __lowerCAmelCase=1E-6  , __lowerCAmelCase=0.0  , __lowerCAmelCase=0.0  , __lowerCAmelCase=1E-10  , __lowerCAmelCase=1.0  , __lowerCAmelCase=4096  , __lowerCAmelCase=32  , __lowerCAmelCase=128  , **__lowerCAmelCase  , ):
              super().__init__(**__lowerCAmelCase  )

              UpperCamelCase__				     =			hidden_size
              UpperCamelCase__				     =			patch_embed_hidden_size
              UpperCamelCase__				     =			d_ff
              UpperCamelCase__				     =			dropout_rate
              UpperCamelCase__				     =			num_hidden_layers
              UpperCamelCase__				     =			num_attention_heads
              UpperCamelCase__				     =			initializer_range
              UpperCamelCase__				     =			initializer_factor
              UpperCamelCase__				     =			attention_dropout
              UpperCamelCase__				     =			layer_norm_eps
              UpperCamelCase__				     =			dense_act_fn
              UpperCamelCase__				     =			seq_len
              UpperCamelCase__				     =			relative_attention_num_buckets
              UpperCamelCase__				     =			relative_attention_max_distance
              UpperCamelCase__				     =			d_kv







       @classmethod
       def 				_lowerCamelCase		(						cls  , __lowerCAmelCase  , **__lowerCAmelCase  ):
              cls._set_token_in_kwargs(__lowerCAmelCase  )

              UpperCamelCase__     ,     UpperCamelCase__				     =			cls.get_config_dict(__lowerCAmelCase  , **__lowerCAmelCase  )

              # get the vision config dict if we are loading from Pix2StructConfig
              if config_dict.get("""model_type"""  ) == "pix2struct":
                     UpperCamelCase__				     =			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(__lowerCAmelCase  , **__lowerCAmelCase  )






class        __SCREAMING_SNAKE_CASE					(     _a       ):
       snake_case     :      Optional[Any]						     =       """pix2struct"""
       snake_case     :      Optional[Any]						     =       True






       def __init__(						self  , __lowerCAmelCase=None  , __lowerCAmelCase=None  , __lowerCAmelCase=1.0  , __lowerCAmelCase=0.02  , __lowerCAmelCase=False  , __lowerCAmelCase=False  , __lowerCAmelCase=True  , **__lowerCAmelCase  , ):
              super().__init__(tie_word_embeddings=__lowerCAmelCase  , is_encoder_decoder=__lowerCAmelCase  , **__lowerCAmelCase  )

              if text_config is None:
                     UpperCamelCase__				     =			{}
                     logger.info("""text_config is None. Initializing the Pix2StructTextConfig with default values."""  )

              if vision_config is None:
                     UpperCamelCase__				     =			{}
                     logger.info("""vision_config is None. Initializing the Pix2StructVisionConfig with default values."""  )

              UpperCamelCase__				     =			PixaStructTextConfig(**__lowerCAmelCase  )
              UpperCamelCase__				     =			PixaStructVisionConfig(**__lowerCAmelCase  )

              UpperCamelCase__				     =			self.text_config.decoder_start_token_id
              UpperCamelCase__				     =			self.text_config.pad_token_id
              UpperCamelCase__				     =			self.text_config.eos_token_id

              UpperCamelCase__				     =			initializer_factor
              UpperCamelCase__				     =			initializer_range

              UpperCamelCase__				     =			self.initializer_range
              UpperCamelCase__				     =			self.initializer_range

              UpperCamelCase__				     =			is_vqa






       @classmethod
       def 				_lowerCamelCase		(						cls  , __lowerCAmelCase  , __lowerCAmelCase  , **__lowerCAmelCase  ):
              return cls(text_config=text_config.to_dict()  , vision_config=vision_config.to_dict()  , **__lowerCAmelCase  )







       def 				_lowerCamelCase		(						self  ):
              UpperCamelCase__				     =			copy.deepcopy(self.__dict__  )
              UpperCamelCase__				     =			self.text_config.to_dict()
              UpperCamelCase__				     =			self.vision_config.to_dict()
              UpperCamelCase__				     =			self.__class__.model_type
              return output











from argparse import ArgumentParser

from .env import EnvironmentCommand





def     _UpperCamelCase     ():






							"""simple docstring"""





							UpperCamelCase__				     =			ArgumentParser("""Diffusers CLI tool"""   ,			usage="""diffusers-cli <command> [<args>]"""       )
							UpperCamelCase__				     =			parser.add_subparsers(help="""diffusers-cli command helpers"""       )

							# Register commands
							EnvironmentCommand.register_subcommand(a__       )

							# Let's go
							UpperCamelCase__				     =			parser.parse_args()

							if not hasattr(a__   ,			"""func"""       ):
														parser.print_help()
														exit(1       )

							# Run
							UpperCamelCase__				     =			args.func(a__       )
							service.run()


if __name__ == "__main__":
					main()




