


'''simple docstring'''



import json
import sys


def    lowerCamelCase__   ( A     :    Optional[Any]   ,     A     :    Dict  ):




						'''simple docstring'''






						with open(A   ,     encoding='''utf-8'''  ) as f:
												UpperCAmelCase         =			json.load(A  )

						UpperCAmelCase         =			['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

						for benchmark_name in sorted(A  ):
												UpperCAmelCase         =			results[benchmark_name]

												UpperCAmelCase         =			benchmark_name.split('''/'''  )[-1]
												output_md.append(f"""### Benchmark: {benchmark_file_name}"""  )

												UpperCAmelCase         =			'''| metric |'''
												UpperCAmelCase         =			'''|--------|'''
												UpperCAmelCase         =			'''| new / old (diff) |'''
												for metric_name in sorted(A  ):
																		UpperCAmelCase         =			benchmark_res[metric_name]
																		UpperCAmelCase         =			metric_vals['''new''']
																		UpperCAmelCase         =			metric_vals.get('''old'''   ,     A  )
																		UpperCAmelCase         =			metric_vals.get('''diff'''   ,     A  )

																		UpperCAmelCase         =			f""" {new_val:f}""" if isinstance(A   ,     (int, float)  ) else '''None'''

																		if old_val is not None:
																								val_str += f""" / {old_val:f}""" if isinstance(A   ,     (int, float)  ) else "None"
																		if dif_val is not None:
																								val_str += f""" ({dif_val:f})""" if isinstance(A   ,     (int, float)  ) else "None"

																		title += " " + metric_name + " |"
																		lines += "---|"
																		value += val_str + " |"

												output_md += [title, lines, value, " "]

						output_md.append('''</details>'''  )

						with open(A   ,     '''w'''   ,     encoding='''utf-8'''  ) as f:
												f.writelines('''\n'''.join(A  )  )


if __name__ == "__main__":
	_lowercase    :    Tuple			     =  sys.argv[1]
	_lowercase    :    str			     =  sys.argv[2]

	format_json_to_md(input_json_file, output_md_file)









'''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
	)





