
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp



def  UpperCamelCase					(							):
					'''simple docstring'''
					lowercase					=		ArgumentParser(
					    description=(
					        '''PyTorch TPU distributed training launch '''
					        '''helper utility that will spawn up '''
					        '''multiple distributed processes'''
					    )	)

					# Optional arguments for the launch helper
					parser.add_argument('''--num_cores'''				,    type=lowercase__				,    default=1				,    help='''Number of TPU cores to use (1 or 8).'''	)

					# positional
					parser.add_argument(
					    '''training_script'''				,    type=lowercase__				,    help=(
					        '''The full path to the single TPU training '''
					        '''program/script to be launched in parallel, '''
					        '''followed by all the arguments for the '''
					        '''training script'''
					    )				,    )

					# rest from the training program
					parser.add_argument('''training_script_args'''				,    nargs=lowercase__	)

					return parser.parse_args()



def  UpperCamelCase					(							):
					'''simple docstring'''
					lowercase					=		parse_args()

					# Import training_script as a module.
					lowercase					=		Path(args.training_script	)
					sys.path.append(str(script_fpath.parent.resolve()	)	)
					lowercase					=		script_fpath.stem
					lowercase					=		importlib.import_module(lowercase__	)

					# Patch sys.argv
					lowercase					=		[args.training_script] + args.training_script_args + ['''--tpu_num_cores''', str(args.num_cores	)]
					xmp.spawn(mod._mp_fn				,    args=()				,    nprocs=args.num_cores	)


if __name__ == "__main__":
							main()






import logging

from transformers import PretrainedConfig


lowercase__	:int										=					logging.getLogger(__name__)


lowercase__	:Dict										=					{
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Optional[int]       ='''bertabs'''




							def __init__(       self     ,A__=3_0_5_2_2     ,A__=5_1_2     ,A__=6     ,A__=5_1_2     ,A__=8     ,A__=5_1_2     ,A__=0.2     ,A__=6     ,A__=7_6_8     ,A__=8     ,A__=2_0_4_8     ,A__=0.2     ,**A__     ,):
												super().__init__(**A__)

												lowercase					=		vocab_size
												lowercase					=		max_pos

												lowercase					=		enc_layers
												lowercase					=		enc_hidden_size
												lowercase					=		enc_heads
												lowercase					=		enc_ff_size
												lowercase					=		enc_dropout

												lowercase					=		dec_layers
												lowercase					=		dec_hidden_size
												lowercase					=		dec_heads
												lowercase					=		dec_ff_size
												lowercase					=		dec_dropout




