
import argparse

import torch

from transformers import ElectraConfig, ElectraForMaskedLM, ElectraForPreTraining, load_tf_weights_in_electra
from transformers.utils import logging


logging.set_verbosity_info()

def    UpperCamelCase_ (	a_  ,				a_  ,				a_  ,				a_		)     ->str:
		# Initialise PyTorch model
		A				=ElectraConfig.from_json_file(__UpperCamelCase		)
		print(f'''Building PyTorch model from configuration: {config}'''		)

		if discriminator_or_generator == "discriminator":
				A				=ElectraForPreTraining(__UpperCamelCase		)
		elif discriminator_or_generator == "generator":
				A				=ElectraForMaskedLM(__UpperCamelCase		)
		else:
				raise ValueError("The discriminator_or_generator argument should be either 'discriminator' or 'generator'"		)

		# Load weights from tf checkpoint
		load_tf_weights_in_electra(
		    __UpperCamelCase  ,				__UpperCamelCase  ,				__UpperCamelCase  ,				discriminator_or_generator=__UpperCamelCase		)

		# Save pytorch-model
		print(f'''Save PyTorch model to {pytorch_dump_path}'''		)
		torch.save(model.state_dict()  ,				__UpperCamelCase		)


if __name__ == "__main__":
	__a							  =						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 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."""
	)
	parser.add_argument(
	    """--discriminator_or_generator""",
	    default=None,
	    type=str,
	    required=True,
	    help=(
	        """Whether to export the generator or the discriminator. Should be a string, either \'discriminator\' or """
	        """\'generator\'."""
	    ),
	)
	__a							  =						parser.parse_args()
	convert_tf_checkpoint_to_pytorch(
	    args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path, args.discriminator_or_generator
	)






"""simple docstring"""


import warnings

from .generation import FlaxGenerationMixin







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			# warning at import time
			warnings.warn(
			    '''Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will '''
			    '''be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.'''					,      __magic_name__					,      )



