code: def broadcast(
      tensor,
      src,
      group=None,
      async_op=False,
      prof=False,
      log_name="broadcast",
      debug=get_caller_func(),
  ):
      global cdb
      return cdb.broadcast(
          tensor=tensor, src=src, group=group, async_op=async_op
      )
  
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 10 for calling a global function with example usage: broadcast(tensor, src, group, async_op, prof, log_name, debug) and returns: cdb