code: def patch_aws_sm_env_for_torch_nccl_backend(verbose=True):
      """Helper routine to get and set environment variables when running inside an AWS SageMaker environment."""
      os.environ["RANK"] = os.environ["OMPI_COMM_WORLD_RANK"]
      os.environ["LOCAL_RANK"] = os.environ[
          "OMPI_COMM_WORLD_LOCAL_RANK"
      ]
      os.environ["WORLD_SIZE"] = os.environ["OMPI_COMM_WORLD_SIZE"]
  
      if verbose:
          utils.logger.info(
              "Discovered AWS SageMaker 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"],
              )
          )
  
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 49 for calling a global function with example usage: patch_aws_sm_env_for_torch_nccl_backend(verbose) without return types