


'''simple docstring'''



import argparse

from transformers import BigBirdConfig, BigBirdForPreTraining, BigBirdForQuestionAnswering, load_tf_weights_in_big_bird
from transformers.utils import logging


logging.set_verbosity_info()


def    lowerCamelCase__   ( A     :    List[Any]   ,     A     :    int   ,     A     :    List[str]   ,     A     :    Optional[int]  ):




						'''simple docstring'''






						UpperCAmelCase         =			BigBirdConfig.from_json_file(A  )
						print(f"""Building PyTorch model from configuration: {config}"""  )

						if is_trivia_qa:
												UpperCAmelCase         =			BigBirdForQuestionAnswering(A  )
						else:
												UpperCAmelCase         =			BigBirdForPreTraining(A  )

						# Load weights from tf checkpoint
						load_tf_weights_in_big_bird(A   ,     A   ,     is_trivia_qa=A  )

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


if __name__ == "__main__":
					_lowercase    :    List[str]			     =  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(
					    """--big_bird_config_file""",
					    default=None,
					    type=str,
					    required=True,
					    help=(
					        """The config json file corresponding to the pre-trained BERT model. \n"""
					        """This 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(
					    """--is_trivia_qa""", action="""store_true""", help="""Whether to convert a model with a trivia_qa head."""
					)
					_lowercase    :    Any			     =  parser.parse_args()
					convert_tf_checkpoint_to_pytorch(
					    args.tf_checkpoint_path, args.big_bird_config_file, args.pytorch_dump_path, args.is_trivia_qa
					)









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase    :    Any			     =  logging.get_logger(__name__)

_lowercase    :    Dict			     =  {
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}






class  UpperCamelCase__(     lowerCAmelCase ):
				__magic_name__       :   Optional[int]							= "dpr"




				def __init__(	self    :				Dict   ,					lowerCAmelCase    :				Any=30522   ,					lowerCAmelCase    :				List[str]=768   ,					lowerCAmelCase    :				Union[str, Any]=12   ,					lowerCAmelCase    :				Tuple=12   ,					lowerCAmelCase    :				Optional[int]=3072   ,					lowerCAmelCase    :				Optional[int]="gelu"   ,					lowerCAmelCase    :				Optional[Any]=0.1   ,					lowerCAmelCase    :				Any=0.1   ,					lowerCAmelCase    :				Optional[Any]=512   ,					lowerCAmelCase    :				List[Any]=2   ,					lowerCAmelCase    :				Tuple=0.02   ,					lowerCAmelCase    :				str=1E-12   ,					lowerCAmelCase    :				Optional[Any]=0   ,					lowerCAmelCase    :				Tuple="absolute"   ,					lowerCAmelCase    :				int = 0   ,					**lowerCAmelCase    :				Union[str, Any]   ,					)->  Optional[int]:

										"""simple docstring"""




										super().__init__(pad_token_id=lowerCAmelCase   ,					**lowerCAmelCase   )

										UpperCAmelCase         =			vocab_size
										UpperCAmelCase         =			hidden_size
										UpperCAmelCase         =			num_hidden_layers
										UpperCAmelCase         =			num_attention_heads
										UpperCAmelCase         =			hidden_act
										UpperCAmelCase         =			intermediate_size
										UpperCAmelCase         =			hidden_dropout_prob
										UpperCAmelCase         =			attention_probs_dropout_prob
										UpperCAmelCase         =			max_position_embeddings
										UpperCAmelCase         =			type_vocab_size
										UpperCAmelCase         =			initializer_range
										UpperCAmelCase         =			layer_norm_eps
										UpperCAmelCase         =			projection_dim
										UpperCAmelCase         =			position_embedding_type





