





"""simple docstring"""
import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp

def 		_SCREAMING_SNAKE_CASE			():
 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 		_SCREAMING_SNAKE_CASE			():
 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_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__UpperCamelCase     :						Dict						       =  {'''processing_layoutxlm''': ['''LayoutXLMProcessor''']}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						int						       =  ['''LayoutXLMTokenizer''']

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase     :						Any						       =  ['''LayoutXLMTokenizerFast''']

if TYPE_CHECKING:
       from .processing_layoutxlm import LayoutXLMProcessor

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm import LayoutXLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
       import sys

       __UpperCamelCase     :						Dict						       =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





