code: def test_deepcopy(self, tensor_cls, as_param):
      x = self._create_tensor(tensor_cls)
      if as_param:
          x = nn.Parameter(x)
      x_copy = deepcopy(x)
      self.assertEqual(x, x_copy)
      self.assertEqual(x.__class__, x_copy.__class__)
      self.assertIsNot(x, x_copy)
      self.assertIsInstance(x_copy, tensor_cls)
      if as_param:
          # Deepcopy should preserve both custom type and "parameter-ness".
          self.assertIsInstance(x_copy, nn.Parameter)
  
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 3 for calling the TestSubclass obj's underlying member method code with example usage: obj.test_deepcopy(tensor_cls, as_param) without return types