code: def mpi_discovery(
      distributed_port=TORCH_DISTRIBUTED_DEFAULT_PORT, verbose=True
  ):
      """
      Discovery MPI environment via mpi4py and map to relevant dist state
      """
      from mpi4py import MPI
      import subprocess
  
      comm = MPI.COMM_WORLD
      rank = comm.Get_rank()
      world_size = comm.Get_size()
  
      master_addr = None
      if rank == 0:
          hostname_cmd = ["hostname -I"]
          result = subprocess.check_output(hostname_cmd, shell=True)
          master_addr = result.decode("utf-8").split()[0]
      master_addr = comm.bcast(master_addr, root=0)
  
      # Determine local rank by assuming hostnames are unique
      proc_name = MPI.Get_processor_name()
      all_procs = comm.allgather(proc_name)
      local_rank = sum([i == proc_name for i in all_procs[:rank]])
  
      os.environ["RANK"] = str(rank)
      os.environ["WORLD_SIZE"] = str(world_size)
      os.environ["LOCAL_RANK"] = str(local_rank)
      os.environ["MASTER_ADDR"] = master_addr
      os.environ["MASTER_PORT"] = str(distributed_port)
  
      if verbose:
          utils.logger.info(
              "Discovered MPI settings of world_rank={}, local_rank={}, world_size={}, master_addr={}, master_port={}".format(
                  os.environ["RANK"],
                  os.environ["LOCAL_RANK"],
                  os.environ["WORLD_SIZE"],
                  os.environ["MASTER_ADDR"],
                  os.environ["MASTER_PORT"],
              )
          )
  
      if cdb is not None and cdb.is_initialized():
          assert (
              cdb.get_rank() == rank
          ), "MPI rank {} does not match torch rank {}".format(
              rank, cdb.get_rank()
          )
          assert (
              cdb.get_world_size() == world_size
          ), "MPI world size {} does not match torch world size {}".format(
              world_size, cdb.get_world_size()
          )
  
imports: import torch
  import os
  from ..constants import TORCH_DISTRIBUTED_DEFAULT_PORT, default_pg_timeout
  from .constants import *
  from .reduce_op import *
  from deepspeed.accelerator import get_accelerator
  from deepspeed.comm.ccl import CCLBackend
  from deepspeed.utils.comms_logging import CommsLogger
  from deepspeed.utils import timer, get_caller_func
  from deepspeed.comm.torch import TorchBackend
  from deepspeed import utils
  from datetime import timedelta
  from deepspeed.comm.utils import *
label_desc: Use image node_id 44 for calling a global function with example usage: mpi_discovery(distributed_port, verbose) without return types