code: def test_no_register_hook(self):
      model_with_hook = nn.Sequential(
          nn.Linear(10, 10), nn.Linear(10, 10)
      )
      initial_model = deepcopy(model_with_hook)
      model_no_hook = deepcopy(model_with_hook)
      _apply_optimizer_in_backward(
          torch.optim.SGD,
          model_with_hook.parameters(),
          optimizer_kwargs={"lr": 0.03},
      )
      _apply_optimizer_in_backward(
          torch.optim.SGD,
          model_no_hook.parameters(),
          optimizer_kwargs={"lr": 0.03},
          register_hook=False,
      )
      inp = torch.randn(4, 10)
      model_with_hook(inp).sum().backward()
      model_no_hook(inp).sum().backward()
  
      for p1, p2 in zip(
          model_with_hook.parameters(), initial_model.parameters()
      ):
          with self.assertRaises(AssertionError):
              torch.testing.assert_allclose(p1, p2)
  
      for p1, p2 in zip(
          model_no_hook.parameters(), initial_model.parameters()
      ):
          torch.testing.assert_allclose(p1, p2)
  
file_path: pytorch/test/distributed/optim/test_apply_optimizer_in_backward.py
imports: import unittest
  from copy import deepcopy
  import torch
  import torch.nn
  from torch.distributed.optim import _apply_optimizer_in_backward, _get_in_backward_optimizers
label_desc: Use image node_id 5 for calling the ApplyOverlappedOptimizerTest obj's underlying member method code with example usage: obj.test_no_register_hook() without return types