


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()





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

