code: def test_collective_error_on_rank_non_zero_all(self):
      @spawn_threads_and_init_comms(world_size=4)
      def _test_method(self):
          input_tensor = (
              torch.ones(3, 3) * dist.get_rank()
          )  # perform 1st all gather
          output_tensors = [
              torch.empty_like(input_tensor)
              for _ in range(dist.get_world_size())
          ]
          dist.all_gather(output_tensors, input_tensor)
  
          if dist.get_rank() > 0:
              raise AssertionError(
                  "Mimic real test failure."
              )  # fail on all non-zero rank
  
          dist.all_gather(
              output_tensors, input_tensor
          )  # perform 2nd all gather
  
      with self.assertRaises(RuntimeError):
          _test_method(self)
  
imports: import os
  import sys
  import torch
  import torch.distributed
  from torch._C._distributed_c10d import ReduceOp
  from unittest import skip, SkipTest
  import operator
  from functools import reduce
  import threading
  import torch.autograd
  from torch.testing._internal.common_distributed import spawn_threads_and_init_comms, MultiThreadedTestCase, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import TestCase, run_tests, IS_SANDCASTLE
label_desc: Use image node_id 4 for calling the TestCollectivesWithWrapper obj's underlying member method code with example usage: obj.test_collective_error_on_rank_non_zero_all() without return types