code: def create_nccl_communicator(world_size, nccl_unique_id, rank):
      """Create an NCCL communicator using NCCL APIs.
  
      Args:
          world_size: the number of processes of this communicator group.
          nccl_unique_id: the NCCLUniqueID for this group.
          rank: the rank of this process.
      Returns:
          comm (nccl.ncclComm_t): an NCCL communicator.
      """
      comm = NcclCommunicator(world_size, nccl_unique_id, rank)
      return comm
  
file_path: ray/python/ray/util/collective/collective_group/nccl_util.py
imports: import numpy
  from ray.util.collective.types import ReduceOp, torch_available
label_desc: Use image node_id 5 for calling a global function with example usage: create_nccl_communicator(world_size, nccl_unique_id, rank) and returns: comm