code: def send(tensor, dst_rank: int, group_name: str = "default"):
      """Send a tensor to a remote process synchronously.
  
      Args:
          tensor: the tensor to send.
          dst_rank: the rank of the destination process.
          group_name: the name of the collective group.
  
      Returns:
          None
      """
      _check_single_tensor_input(tensor)
      g = _check_and_get_group(group_name)
      _check_rank_valid(g, dst_rank)
      if dst_rank == g.rank:
          raise RuntimeError(
              "The destination rank '{}' is self.".format(dst_rank)
          )
      opts = types.SendOptions()
      opts.dst_rank = dst_rank
      g.send([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 20 for calling a global function with example usage: send(tensor, dst_rank, group_name) without return types