code: def test_repr(self, tensor_cls, as_param):
      x = self._create_tensor(tensor_cls)
      if as_param:
          x = nn.Parameter(x)
      str_repr = x.__repr__()
      if tensor_cls is not torch.Tensor:
          self.assertEqual(str_repr.count(f"{tensor_cls.__name__}("), 1)
      self.assertEqual(
          str_repr.count("Parameter"), 1 if as_param else 0
      )
  
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 5 for calling the TestSubclass obj's underlying member method code with example usage: obj.test_repr(tensor_cls, as_param) without return types