code: def test_module_optimization(self, tensor_cls):
      create_fn = partial(self._create_tensor, tensor_cls)
  
      class MyModule(nn.Module):
          def __init__(self):
              super().__init__()
              self.p1 = nn.Parameter(create_fn())
  
              self.p_list = nn.ParameterList(
                  [create_fn() for _ in range(3)]
              )
              self.p_list.append(create_fn())
  
              self.p_dict = nn.ParameterDict(
                  {
                      "foo": create_fn(),
                      "bar": create_fn(),
                  }
              )
              self.p_dict["baz"] = create_fn()
  
              with torch.no_grad():
                  nn.init.normal_(self.p1)
                  for p in self.p_list:
                      nn.init.uniform_(p)
                  for p in self.p_dict.values():
                      nn.init.uniform_(p)
  
          def forward(self, x):
              out = self.p1 + x
              for p in self.p_list:
                  out = p + out
  
              for v in self.p_dict.values():
                  out = v + out
  
              return out
  
      m = MyModule()
      self.assertEqual(len(m.state_dict()), 8)
  
      optimizer = torch.optim.SGD(m.parameters(), lr=0.1)
      m(create_fn()).sum().backward(torch.tensor(1))
      optimizer.step()
  
imports: import tempfile
  from copy import deepcopy
  from functools import partial
  from unittest import expectedFailure
  import torch
  from torch import nn
  from torch.nn.modules.lazy import LazyModuleMixin
  from torch.nn.utils.parametrize import register_parametrization, remove_parametrizations
  from torch.testing._internal.common_subclass import DiagTensorBelow, subclass_db
  from torch.testing._internal.common_utils import TestCase, instantiate_parametrized_tests, parametrize, run_tests, skipIfTorchDynamo, subtest
  from torch.testing._internal.logging_tensor import LoggingTensor
  from torch.utils._pytree import tree_map
label_desc: Use image node_id 7 for calling the TestSubclass obj's underlying member method code with example usage: obj.test_module_optimization(tensor_cls) and returns: out