"""simple docstring"""







from dataclasses import dataclass, field
from typing import Optional

from transformers import AutoConfig, AutoImageProcessor, AutoTokenizer, FlaxVisionEncoderDecoderModel, HfArgumentParser







@dataclass
class  UpperCamelCase	:
   lowercase							=						field(
       metadata={'help': 'The output directory where the model will be written.'}		,   )
   lowercase							=						field(
       metadata={
           'help': (
               'The encoder model checkpoint for weights initialization.'
               'Don\'t set if you want to train an encoder model from scratch.'
           )
       }		,   )
   lowercase							=						field(
       metadata={
           'help': (
               'The decoder model checkpoint for weights initialization.'
               'Don\'t set if you want to train a decoder model from scratch.'
           )
       }		,   )
   lowercase							=						field(
       default=_lowercase		,   metadata={'help': 'Pretrained encoder config name or path if not the same as encoder_model_name'}						)
   lowercase							=						field(
       default=_lowercase		,   metadata={'help': 'Pretrained decoder config name or path if not the same as decoder_model_name'}						)






def     lowercase__( ):
     lowercase_			:       str									=			HfArgumentParser((ModelArguments,)   )
     ((lowercase_      )							,						      )			:       Any									=			parser.parse_args_into_dataclasses()

     # Load pretrained model and tokenizer

     # Use explicit specified encoder config
     if model_args.encoder_config_name:
          lowercase_			:       Dict									=			AutoConfig.from_pretrained(model_args.encoder_config_name   )
     # Use pretrained encoder model's config
     else:
          lowercase_			:       Optional[Any]									=			AutoConfig.from_pretrained(model_args.encoder_model_name_or_path   )

     # Use explicit specified decoder config
     if model_args.decoder_config_name:
          lowercase_			:       List[str]									=			AutoConfig.from_pretrained(model_args.decoder_config_name   )
     # Use pretrained decoder model's config
     else:
          lowercase_			:       int									=			AutoConfig.from_pretrained(model_args.decoder_model_name_or_path   )

     # necessary for `from_encoder_decoder_pretrained` when `decoder_config` is passed
     lowercase_			:       List[Any]									=			True
     lowercase_			:       Union[str, Any]									=			True

     lowercase_			:       Optional[int]									=			FlaxVisionEncoderDecoderModel.from_encoder_decoder_pretrained(
         encoder_pretrained_model_name_or_path=model_args.encoder_model_name_or_path  ,    decoder_pretrained_model_name_or_path=model_args.decoder_model_name_or_path  ,    encoder_config=snake_case__  ,    decoder_config=snake_case__  ,    )

     # GPT2 only has bos/eos tokens but not decoder_start/pad tokens
     lowercase_			:       Any									=			decoder_config.decoder_start_token_id
     lowercase_			:       Tuple									=			decoder_config.pad_token_id
     if decoder_start_token_id is None:
          lowercase_			:       Any									=			decoder_config.bos_token_id
     if pad_token_id is None:
          lowercase_			:       str									=			decoder_config.eos_token_id

     # This is necessary to make Flax's generate() work
     lowercase_			:       int									=			decoder_config.eos_token_id
     lowercase_			:       List[str]									=			decoder_start_token_id
     lowercase_			:       List[str]									=			pad_token_id

     lowercase_			:       Optional[Any]									=			AutoImageProcessor.from_pretrained(model_args.encoder_model_name_or_path   )

     lowercase_			:       Union[str, Any]									=			AutoTokenizer.from_pretrained(model_args.decoder_model_name_or_path   )
     lowercase_			:       Any									=			tokenizer.convert_ids_to_tokens(model.config.pad_token_id   )

     model.save_pretrained(model_args.output_dir   )
     image_processor.save_pretrained(model_args.output_dir   )
     tokenizer.save_pretrained(model_args.output_dir   )


if __name__ == "__main__":
       main()





"""simple docstring"""







import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


__SCREAMING_SNAKE_CASE								={
    "debug": logging.DEBUG,
    "info": logging.INFO,
    "warning": logging.WARNING,
    "error": logging.ERROR,
    "critical": logging.CRITICAL,
}

__SCREAMING_SNAKE_CASE								=logging.WARNING



def     lowercase__( ):
     lowercase_			:       List[Any]									=			os.getenv('DATASETS_VERBOSITY'  ,    __SCREAMING_SNAKE_CASE   )
     if env_level_str:
          if env_level_str in log_levels:
               return log_levels[env_level_str]
          else:
               logging.getLogger().warning(
                   F'''Unknown option DATASETS_VERBOSITY={env_level_str}, '''
                   F'''has to be one of: { ", ".join(log_levels.keys()   ) }'''   )
     return _default_log_level



def     lowercase__( ):
     return __name__.split('.'   )[0]



def     lowercase__( ):
     return logging.getLogger(_get_library_name()   )



def     lowercase__( ):
     # Apply our default configuration to the library root logger.
     lowercase_			:       Optional[int]									=			_get_library_root_logger()
     library_root_logger.setLevel(_get_default_logging_level()   )



def     lowercase__( ):
     lowercase_			:       int									=			_get_library_root_logger()
     library_root_logger.setLevel(logging.NOTSET   )



def     lowercase__( __SCREAMING_SNAKE_CASE							:  Optional[str] = None   ):
     if name is None:
          lowercase_			:       Union[str, Any]									=			_get_library_name()
     return logging.getLogger(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     return _get_library_root_logger().getEffectiveLevel()



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):
     _get_library_root_logger().setLevel(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     return set_verbosity(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     return set_verbosity(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     return set_verbosity(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     return set_verbosity(__SCREAMING_SNAKE_CASE   )



def     lowercase__( ):
     lowercase_			:       Tuple									=			False



def     lowercase__( ):
     lowercase_			:       Any									=			True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()







class  UpperCamelCase	:
   def __init__(    self  ,*__UpperCamelCase  ,**__UpperCamelCase    )			->   int:  # pylint: disable=unused-argument


        '''simple docstring'''


        lowercase_			:       Optional[Any]									=			args[0] if args else None
   def __iter__(    self    )			->   Union[str, Any]:


        '''simple docstring'''


        return iter(self._iterator    )
   def __getattr__(    self  ,__UpperCamelCase    )			->   List[Any]:


        '''simple docstring'''


        def empty_fn(*__UpperCamelCase  ,**__UpperCamelCase    ):  # pylint: disable=unused-argument
             return

        return empty_fn
   def __enter__(    self    )			->   Optional[int]:


        '''simple docstring'''


        return self







   def __exit__(    self  ,__UpperCamelCase  ,__UpperCamelCase  ,__UpperCamelCase    )			->   Dict:


        '''simple docstring'''


        return






__SCREAMING_SNAKE_CASE								=True







class  UpperCamelCase	:
   def __call__(    self  ,*__UpperCamelCase  ,__UpperCamelCase=False  ,**__UpperCamelCase    )			->   Tuple:


        '''simple docstring'''


        if _tqdm_active and not disable:
             return tqdm_lib.tqdm(*__UpperCamelCase  ,**__UpperCamelCase    )
        else:
             return EmptyTqdm(*__UpperCamelCase  ,**__UpperCamelCase    )
   def     _UpperCAmelCase     (    self  ,*__UpperCamelCase  ,**__UpperCamelCase    )			->   str:


        '''simple docstring'''


        lowercase_			:       Tuple									=			None
        if _tqdm_active:
             return tqdm_lib.tqdm.set_lock(*__UpperCamelCase  ,**__UpperCamelCase    )







   def     _UpperCAmelCase     (    self    )			->   Any:


        '''simple docstring'''


        if _tqdm_active:
             return tqdm_lib.tqdm.get_lock()






__SCREAMING_SNAKE_CASE								=_tqdm_cls()



def     lowercase__( ):
     global _tqdm_active
     return bool(_tqdm_active   )



def     lowercase__( ):
     global _tqdm_active
     lowercase_			:       Union[str, Any]									=			True







def     lowercase__( ):
     global _tqdm_active
     lowercase_			:       Optional[int]									=			False

