


from dataclasses import dataclass, field
from typing import Optional

from transformers import AutoConfig, AutoImageProcessor, AutoTokenizer, FlaxVisionEncoderDecoderModel, HfArgumentParser
@dataclass
class 						lowerCamelCase_							:



					'''simple docstring'''







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




def 		lowercase_	(  ):


			'''simple docstring'''







			__lowercase			       = HfArgumentParser((ModelArguments,)	)
			((__lowercase)       ,			)			       = parser.parse_args_into_dataclasses()

			# Load pretrained model and tokenizer

			# Use explicit specified encoder config
			if model_args.encoder_config_name:
						__lowercase			       = AutoConfig.from_pretrained(model_args.encoder_config_name	)
			# Use pretrained encoder model's config
			else:
						__lowercase			       = AutoConfig.from_pretrained(model_args.encoder_model_name_or_path	)

			# Use explicit specified decoder config
			if model_args.decoder_config_name:
						__lowercase			       = AutoConfig.from_pretrained(model_args.decoder_config_name	)
			# Use pretrained decoder model's config
			else:
						__lowercase			       = AutoConfig.from_pretrained(model_args.decoder_model_name_or_path	)

			# necessary for `from_encoder_decoder_pretrained` when `decoder_config` is passed
			__lowercase			       = True
			__lowercase			       = True

			__lowercase			       = 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=_UpperCamelCase							,      decoder_config=_UpperCamelCase							,      )

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

			# This is necessary to make Flax's generate() work
			__lowercase			       = decoder_config.eos_token_id
			__lowercase			       = decoder_start_token_id
			__lowercase			       = pad_token_id

			__lowercase			       = AutoImageProcessor.from_pretrained(model_args.encoder_model_name_or_path	)

			__lowercase			       = AutoTokenizer.from_pretrained(model_args.decoder_model_name_or_path	)
			__lowercase			       = 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()






a			:			Any												=					[
    '''Audio''',
    '''Array2D''',
    '''Array3D''',
    '''Array4D''',
    '''Array5D''',
    '''ClassLabel''',
    '''Features''',
    '''Sequence''',
    '''Value''',
    '''Image''',
    '''Translation''',
    '''TranslationVariableLanguages''',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages


