





'''simple docstring'''

import argparse

from transformers import CanineConfig, CanineModel, CanineTokenizer, load_tf_weights_in_canine
from transformers.utils import logging


logging.set_verbosity_info()





def 		UpperCamelCase       (							_lowerCamelCase      :      Tuple		, _lowerCamelCase      :      Union[str, Any] ):
    # Initialize PyTorch model
    A__       =    CanineConfig()
    A__       =    CanineModel(_lowerCamelCase )
    model.eval()

    print(F"Building PyTorch model from configuration: {config}" )

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

    # Save pytorch-model (weights and configuration)
    print(F"Save PyTorch model to {pytorch_dump_path}" )
    model.save_pretrained(_lowerCamelCase )

    # Save tokenizer files
    A__       =    CanineTokenizer()
    print(F"Save tokenizer files to {pytorch_dump_path}" )
    tokenizer.save_pretrained(_lowerCamelCase )


if __name__ == "__main__":
  __lowerCAmelCase							:			List[str]				=argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--tf_checkpoint_path",
      default=None,
      type=str,
      required=True,
      help="Path to the TensorFlow checkpoint. Should end with model.ckpt",
  )
  parser.add_argument(
      "--pytorch_dump_path",
      default=None,
      type=str,
      required=True,
      help="Path to a folder where the PyTorch model will be placed.",
  )
  __lowerCAmelCase							:			int				=parser.parse_args()
  convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.pytorch_dump_path)










'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


__lowerCAmelCase							:			Dict				=logging.get_logger(__name__)






class      UpperCAmelCase			( UpperCamelCase__       ):
 def __init__(       self   :List[str]		, *lowercase_   :Dict		, **lowercase_   :int							)->							None:
     warnings.warn(
         "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
         " use ViltImageProcessor instead."		, lowercase_		, )
     super().__init__(*lowercase_		, **lowercase_							)



