code: def test_ddp_graphs(self, records):
      class ToyModel(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.layers = torch.nn.Sequential(
                  torch.nn.Linear(1024, 1024),
                  torch.nn.Linear(1024, 1024),
              )
  
          def forward(self, x):
              return self.layers(x)
  
      os.environ["MASTER_ADDR"] = "localhost"
      os.environ["MASTER_PORT"] = str(find_free_port())
      dist.init_process_group("gloo", rank=0, world_size=1)
  
      ddp_model = torch._dynamo.optimize("inductor")(
          DDP(ToyModel().to("cuda:0"), device_ids=[0], bucket_cap_mb=4)
      )
  
      ddp_model(torch.randn(1024, 1024, device="cuda:0"))
  
      dist.destroy_process_group()
      self.assertEqual(
          len([r for r in records if "__ddp_graphs" in r.name]), 4
      )
  
imports: import atexit
  import contextlib
  import functools
  import logging
  import os
  import re
  import unittest.mock
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  import torch.distributed
  from torch._dynamo.testing import skipIfNotPy311
  from torch.nn.parallel import DistributedDataParallel
  from torch.testing._internal.common_utils import find_free_port, munge_exc
  from torch.testing._internal.inductor_utils import HAS_CUDA
  from torch.testing._internal.logging_utils import LoggingTestCase, make_logging_test, make_settings_test
label_desc: Use image node_id 7 for calling the LoggingTests obj's underlying member method code with example usage: obj.test_ddp_graphs(records) and returns: self