code: def broadcast(tensor, src_rank: int = 0, group_name: str = "default"):
      """Broadcast the tensor from a source process to all others.
  
      Args:
          tensor: the tensor to be broadcasted (src) or received (destination).
          src_rank: the rank of the source process.
          group_name: the collective group name to perform broadcast.
  
      Returns:
          None
      """
      _check_single_tensor_input(tensor)
      g = _check_and_get_group(group_name)
  
      # check src rank
      _check_rank_valid(g, src_rank)
      opts = types.BroadcastOptions()
      opts.root_rank = src_rank
      opts.root_tensor = 0
      g.broadcast([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 14 for calling a global function with example usage: broadcast(tensor, src_rank, group_name) without return types