





import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case ,__snake_case ,__snake_case = None ,__snake_case = None ,__snake_case = None ,)       ->   Tuple:







	'''simple docstring'''







	if config_name_or_path is None:
		lowerCamelCase__              =	'''facebook/rag-token-base''' if model_type == '''rag_token''' else '''facebook/rag-sequence-base'''

	if generator_tokenizer_name_or_path is None:
		lowerCamelCase__              =	generator_name_or_path

	if question_encoder_tokenizer_name_or_path is None:
		lowerCamelCase__              =	question_encoder_name_or_path

	lowerCamelCase__              =	RagTokenForGeneration if model_type == '''rag_token''' else RagSequenceForGeneration

	# Save model.
	lowerCamelCase__              =	RagConfig.from_pretrained(__snake_case							)
	lowerCamelCase__              =	AutoConfig.from_pretrained(__snake_case							)
	lowerCamelCase__              =	AutoConfig.from_pretrained(__snake_case							)

	lowerCamelCase__              =	gen_config
	lowerCamelCase__              =	question_encoder_config

	lowerCamelCase__              =	model_class.from_pretrained_question_encoder_generator(
	    __snake_case ,__snake_case ,config=__snake_case							)
	rag_model.save_pretrained(__snake_case							)

	# Sanity check.
	model_class.from_pretrained(__snake_case							)

	# Save tokenizers.
	lowerCamelCase__              =	AutoTokenizer.from_pretrained(__snake_case							)
	gen_tokenizer.save_pretrained(dest_dir / '''generator_tokenizer/'''							)
	lowerCamelCase__              =	AutoTokenizer.from_pretrained(__snake_case							)
	question_encoder_tokenizer.save_pretrained(dest_dir / '''question_encoder_tokenizer/'''							)


if __name__ == "__main__":
			_a						=   argparse.ArgumentParser()
			parser.add_argument(
			    "--model_type",
			    choices=["rag_sequence", "rag_token"],
			    required=True,
			    type=str,
			    help="RAG model type: rag_sequence, rag_token",
			)
			parser.add_argument("--dest", type=str, required=True, help="Path to the output checkpoint directory.")
			parser.add_argument("--generator_name_or_path", type=str, required=True, help="Generator model identifier")
			parser.add_argument(
			    "--question_encoder_name_or_path", type=str, required=True, help="Question encoder model identifier"
			)

			parser.add_argument(
			    "--generator_tokenizer_name_or_path",
			    type=str,
			    help="Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``",
			)
			parser.add_argument(
			    "--question_encoder_tokenizer_name_or_path",
			    type=str,
			    help="Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``",
			)
			parser.add_argument(
			    "--config_name_or_path",
			    type=str,
			    help=(
			        "Identifier of the model config to use, if not provided, resolves to a base config for a given"
			        " ``model_type``"
			    ),
			)

			_a						=   parser.parse_args()

			_a						=   Path(args.dest)
			dest_dir.mkdir(exist_ok=True)

			consolidate(
			    args.model_type,
			    args.generator_name_or_path,
			    args.question_encoder_name_or_path,
			    dest_dir,
			    args.config_name_or_path,
			    args.generator_tokenizer_name_or_path,
			    args.question_encoder_tokenizer_name_or_path,
			)










import warnings

from ...utils import logging
from .image_processing_owlvit import OwlViTImageProcessor


_a						=   logging.get_logger(__name__)






class       __A					(					lowerCAmelCase				):

			'''simple docstring'''







			def __init__(					self ,						*__lowerCAmelCase ,						**__lowerCAmelCase							):



				'''simple docstring'''







				warnings.warn(
				    '''The class OwlViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use OwlViTImageProcessor instead.''' ,						__lowerCAmelCase ,						)
				super().__init__(*__lowerCAmelCase ,						**__lowerCAmelCase							)



