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

import torch_xla.distributed.xla_multiprocessing as xmp


def       UpperCAmelCase_					(  )	->  str:
    __lowercase						:     str		      =    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=SCREAMING_SNAKE_CASE_		,   default=1		,   help='''Number of TPU cores to use (1 or 8).'''		)

    # positional
    parser.add_argument(
        '''training_script'''		,   type=SCREAMING_SNAKE_CASE_		,   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=SCREAMING_SNAKE_CASE_		)

    return parser.parse_args()


def       UpperCAmelCase_					(  )	->  Dict:
    __lowercase						:     Optional[Any]		      =    parse_args()

    # Import training_script as a module.
    __lowercase						:     Tuple		      =    Path(args.training_script		)
    sys.path.append(str(script_fpath.parent.resolve()		)		)
    __lowercase						:     int		      =    script_fpath.stem
    __lowercase						:     Tuple		      =    importlib.import_module(SCREAMING_SNAKE_CASE_		)

    # Patch sys.argv
    __lowercase						:     Union[str, Any]		      =    [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()




__lowerCAmelCase   :     List[Any]      =						"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"

__lowerCAmelCase   :     Optional[Any]      =						[{"type": "code", "content": INSTALL_CONTENT}]
__lowerCAmelCase   :     List[str]      =						{
    "{processor_class}": "FakeProcessorClass",
    "{model_class}": "FakeModelClass",
    "{object_class}": "FakeObjectClass",
}


