code: def _test_broadcast_process(
      cls, rank, filename, shared_tensors, world_size, init_pg, c2p, p2c
  ):
      pg = init_pg(rank, filename, world_size)
      xs = [shared_tensors[rank]]
      pg.broadcast(xs).wait()
      c2p.put((rank, torch.zeros(2, 2), xs[0].to("cpu")))
      p2c.get()
  
imports: import os
  import sys
  import tempfile
  import torch
  import torch.distributed
  import torch.multiprocessing
  from torch.testing._internal.common_distributed import MultiProcessTestCase
  from torch.testing._internal.common_utils import load_tests, NO_MULTIPROCESSING_SPAWN
label_desc: Use image node_id 2 for calling the AbstractProcessGroupShareTensorTest obj's underlying member method code with example usage: obj._test_broadcast_process(cls, rank, filename, shared_tensors, world_size, init_pg, c2p, p2c) without return types