



import argparse

from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging


logging.set_verbosity_info()




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase     ):
			# Initialise PyTorch model
			A				:       Tuple														=    TaConfig.from_json_file(_lowerCamelCase     )
			print(f"""Building PyTorch model from configuration: {config}"""     )
			A				:       Optional[Any]														=    TaForConditionalGeneration(_lowerCamelCase     )

			# Load weights from tf checkpoint
			load_tf_weights_in_ta(_lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase     )

			# Save pytorch-model
			print(f"""Save PyTorch model to {pytorch_dump_path}"""     )
			model.save_pretrained(_lowerCamelCase     )


if __name__ == "__main__":
							__SCREAMING_SNAKE_CASE     =	argparse.ArgumentParser()
							# Required parameters
							parser.add_argument(
							    """--tf_checkpoint_path""", default=None, type=str, required=True, help="""Path to the TensorFlow checkpoint path."""
							)
							parser.add_argument(
							    """--config_file""",
							    default=None,
							    type=str,
							    required=True,
							    help=(
							        """The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture."""
							    ),
							)
							parser.add_argument(
							    """--pytorch_dump_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
							)
							__SCREAMING_SNAKE_CASE     =	parser.parse_args()
							convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)




import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__SCREAMING_SNAKE_CASE     =	logging.get_logger(__name__)

class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''







						def __init__(						self   :      Dict						,						*__lowerCamelCase   :      Tuple						,						**__lowerCamelCase   :      Dict			)   ->					None:
									warnings.warn(
									    "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
									    " Please use DetrImageProcessor instead."						,						__lowerCamelCase						,						)
									super().__init__(*__lowerCamelCase						,						**__lowerCamelCase			)