

'''simple docstring'''





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

import torch_xla.distributed.xla_multiprocessing as xmp







def   _UpperCamelCase	(		)       ->			Any:
					lowerCamelCase_  				=      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=__UpperCamelCase    ,default=1    ,help='Number of TPU cores to use (1 or 8).'	)

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

					return parser.parse_args()







def   _UpperCamelCase	(		)       ->			Any:
					lowerCamelCase_  				=      parse_args()

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

					# Patch sys.argv
					lowerCamelCase_  				=      [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()









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowercase  =			{
    """configuration_pegasus_x""": ["""PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PegasusXConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase  =			[
	    """PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """PegasusXForConditionalGeneration""",
	    """PegasusXModel""",
	    """PegasusXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_pegasus_x import PEGASUS_X_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusXConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_pegasus_x import (
		    PEGASUS_X_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PegasusXForConditionalGeneration,
		    PegasusXModel,
		    PegasusXPreTrainedModel,
		)


else:
	import sys

	_lowercase  =			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

