code: 
  
  
  import json
  import logging
  import os
  import subprocess
  from argparse import ArgumentParser
  
  
  __a     :   List[Any]   				=      logging.getLogger(__name__)
  
  
  
  
  def 			__lowercase	(						)    ->List[str]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   List[str]					   =		ArgumentParser()
        lowercase			:   Tuple					   =		parser.parse_known_args()
        for arg in unknown:
              if arg.startswith(('''-''', '''--''')     ):
                    parser.add_argument(arg.split('''='''     )[0]     )
  
        return parser.parse_args()
  
  
  
  
  def 			__lowercase	(						)    ->List[str]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Any					   =		parse_args()
        lowercase			:   Optional[int]					   =		8888
        lowercase			:   Optional[int]					   =		int(os.environ['''SM_NUM_GPUS''']     )
        lowercase			:   Tuple					   =		json.loads(os.environ['''SM_HOSTS''']     )
        lowercase			:   Optional[int]					   =		len(_UpperCamelCase     )
        lowercase			:   Optional[Any]					   =		os.environ['''SM_CURRENT_HOST''']
        lowercase			:   Union[str, Any]					   =		hosts.index(_UpperCamelCase     )
        lowercase			:   Optional[Any]					   =		'''INFO'''
  
        if num_nodes > 1:
              lowercase			:   List[Any]					   =		f"""python -m torch.distributed.launch \
                  --nnodes={num_nodes}  \
                  --node_rank={rank}  \
                  --nproc_per_node={num_gpus}  \
                  --master_addr={hosts[0]}  \
                  --master_port={port} \
                  ./run_glue.py \
                  {''.join(['nested fstring' for parameter,value in args.__dict__.items()]     )}"""
        else:
              lowercase			:   Any					   =		f"""python -m torch.distributed.launch \
              --nproc_per_node={num_gpus}  \
              ./run_glue.py \
              {''.join(['nested fstring' for parameter,value in args.__dict__.items()]     )}"""
        try:
              subprocess.run(_UpperCamelCase,    shell=_UpperCamelCase     )
        except Exception as e:
              logger.info(_UpperCamelCase     )
  
  
  if __name__ == "__main__":
    main()
  
  
style_context: 
  
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      is_torch_available,
      is_transformers_available,
      is_transformers_version,
  )
  
  
  try:
    if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import (
        AudioLDMPipeline,
    )
  else:
    from .pipeline_audioldm import AudioLDMPipeline
  
  