code: def test_get_optimizers_in_backward(self):
      # Create a simple test model
      class TestModel(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.linear1 = torch.nn.Linear(10, 5)
              self.linear2 = torch.nn.Linear(5, 2)
  
      model = TestModel()
  
      # Apply optimizers in backward
      _apply_optimizer_in_backward(
          torch.optim.SGD, model.parameters(), {"lr": 0.01}
      )
      in_backward_optims = _get_in_backward_optimizers(model)
      self.assertEqual(
          len(list(model.parameters())), len(in_backward_optims)
      )
      result = set(in_backward_optims)
      expected = {
          optim
          for p in model.parameters()
          for optim in p._in_backward_optimizers
      }
      self.assertEqual(result, expected)
  
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 7 for calling the ApplyOverlappedOptimizerTest obj's underlying member method code with example usage: obj.test_get_optimizers_in_backward() without return types