code: def recv(tensor, src_rank: int, group_name: str = "default"):
      """Receive a tensor from a remote process synchronously.
  
      Args:
          tensor: the received tensor.
          src_rank: the rank of the source 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, src_rank)
      if src_rank == g.rank:
          raise RuntimeError(
              "The destination rank '{}' is self.".format(src_rank)
          )
      opts = types.RecvOptions()
      opts.src_rank = src_rank
      g.recv([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 22 for calling a global function with example usage: recv(tensor, src_rank, group_name) without return types