






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

import torch_xla.distributed.xla_multiprocessing as xmp







def 						a_      ()							->	int:



					"""simple docstring"""
					__a				:	List[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=__A							,					default=1							,					help="Number of TPU cores to use (1 or 8)."			)

					# positional
					parser.add_argument(
					    "training_script"							,					type=__A							,					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=__A			)

					return parser.parse_args()







def 						a_      ()							->	str:



					"""simple docstring"""
					__a				:	List[Any]			=				parse_args()

					# Import training_script as a module.
					__a				:	Union[str, Any]			=				Path(args.training_script			)
					sys.path.append(str(script_fpath.parent.resolve()			)			)
					__a				:	int			=				script_fpath.stem
					__a				:	int			=				importlib.import_module(__A			)

					# Patch sys.argv
					__a				:	List[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()













import warnings

from .generation import GenerationMixin




class        snake_case_					(						__UpperCamelCase			):

						"""simple docstring"""



						warnings.warn(
						    """Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will """
						    """be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead."""		,       __UpperCamelCase		,       )





