code: def test_tensor_subclass_storage_data_accesses_throw(self):
      from torch.testing._internal.logging_tensor import LoggingTensor
  
      x = torch.ones(2)
      x_log = LoggingTensor(x)
      # Accessing storage on a tensor subclass is valid
      storage = x_log.untyped_storage()
      # This includes accessing metadata on the storage
      sz = storage.size()
      # But storage methods that access data will throw
      with self.assertRaisesRegex(
          RuntimeError, "on an invalid python storage"
      ):
          storage.data_ptr()
      with self.assertRaisesRegex(
          RuntimeError, "on an invalid python storage"
      ):
          storage.resize_(0)
      with self.assertRaisesRegex(
          RuntimeError, "on an invalid python storage"
      ):
          storage.copy_(storage)
      with self.assertRaisesRegex(
          RuntimeError, "on an invalid python storage"
      ):
          storage.fill_(0)
      with self.assertRaisesRegex(
          RuntimeError, "on an invalid python storage"
      ):
          storage._write_file("file")
  
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 11 for calling the TestSubclass obj's underlying member method code with example usage: obj.test_tensor_subclass_storage_data_accesses_throw() without return types