code: def reduce(
      tensor,
      dst_rank: int = 0,
      group_name: str = "default",
      op=types.ReduceOp.SUM,
  ):
      """Reduce the tensor across the group to the destination rank.
  
      Args:
          tensor: the tensor to be reduced on this process.
          dst_rank: the rank of the destination process.
          group_name: the collective group name to perform reduce.
          op: The reduce operation.
  
      Returns:
          None
      """
      _check_single_tensor_input(tensor)
      g = _check_and_get_group(group_name)
  
      # check dst rank
      _check_rank_valid(g, dst_rank)
      opts = types.ReduceOptions()
      opts.reduceOp = op
      opts.root_rank = dst_rank
      opts.root_tensor = 0
      g.reduce([tensor], opts)
  
imports: import logging
  import os
  from typing import List
  import numpy
  import ray
  from ray.util.collective import types
label_desc: Use image node_id 12 for calling a global function with example usage: reduce(tensor, dst_rank, group_name, op) without return types