code: def _test_collectives_op_mismatch(self, wrapper_pg, use_cuda=False):
      tensor = torch.randn(20, 10)
      if use_cuda:
          tensor = tensor.to(self.rank)
      works = []
      # Run a few successful collectives
      for _ in range(500):
          work = wrapper_pg.allreduce([tensor])
          works.append(work)
  
      for w in works:
          w.wait()
  
      # Simulate mismatch: allreduce vs reduce.
      # Error including info about inconsistent collective, rank, tensor
      # shape, device, and dtype should be raised.
      with self.assertRaisesRegex(RuntimeError, ".*") as cm:
          if self.rank == 0:
              wrapper_pg.allreduce([tensor])
          else:
              wrapper_pg.reduce([tensor])
      self._validate_error(
          exception=cm.exception,
          op_type="ALLREDUCE" if self.rank == 0 else "REDUCE",
          rank=self.rank,
          tensor=tensor,
      )
  
      with self.assertRaisesRegex(RuntimeError, ".*") as cm:
          if self.rank == 0:
              wrapper_pg.reduce([tensor])
          else:
              wrapper_pg.barrier()
      self._validate_error(
          exception=cm.exception,
          op_type="REDUCE" if self.rank == 0 else "BARRIER",
          rank=self.rank,
          tensor=tensor,
      )
  
      with self.assertRaisesRegex(RuntimeError, ".*") as cm:
          if self.rank == 0:
              wrapper_pg.broadcast(tensor, 0)
          else:
              output_tensors = [
                  torch.zeros_like(tensor)
                  for _ in range(self.world_size)
              ]
              wrapper_pg.allgather([output_tensors], [tensor])
      self._validate_error(
          exception=cm.exception,
          op_type="BROADCAST" if self.rank == 0 else "ALLGATHER",
          rank=self.rank,
          tensor=tensor,
      )
  
imports: import os
  import sys
  from datetime import timedelta
  import torch
  import torch.distributed
  from test_c10d_common import LOOPBACK
  from torch.testing._internal.common_distributed import create_device, MultiProcessTestCase, requires_gloo, requires_nccl, skip_if_lt_x_gpu, with_dist_debug_levels
  from torch.testing._internal.common_utils import run_tests, TEST_WITH_DEV_DBG_ASAN
label_desc: Use image node_id 4 for calling the AbstractProcessGroupWrapperTest obj's underlying member method code with example usage: obj._test_collectives_op_mismatch(wrapper_pg, use_cuda) without return types