code: def test_custom_class(self):
      custom_obj = torch.classes._TorchScriptTesting._PickleTester(
          [3, 4]
      )
  
      def f(x):
          return x + x
  
      inputs = (torch.zeros(4, 4),)
      ep = export(f, inputs)
  
      # Replace one of the values with an instance of our custom class
      for node in ep.graph.nodes:
          if (
              node.op == "call_function"
              and node.target == torch.ops.aten.add.Tensor
          ):
              with ep.graph.inserting_before(node):
                  custom_node = ep.graph.call_function(
                      torch.ops._TorchScriptTesting.take_an_instance.default,
                      (custom_obj,),
                  )
                  custom_node.meta["val"] = torch.ones(4, 4)
                  arg0, _ = node.args
                  node.args = (arg0, custom_node)
  
      serialized_vals = serialize(ep)
      deserialized_ep = deserialize(serialized_vals)
  
      for node in deserialized_ep.graph.nodes:
          if (
              node.op == "call_function"
              and node.target
              == torch.ops._TorchScriptTesting.take_an_instance.default
          ):
              arg = node.args[0]
              self.assertTrue(isinstance(arg, torch._C.ScriptObject))
              self.assertEqual(
                  arg.__getstate__(), custom_obj.__getstate__()
              )
              self.assertEqual(arg.top(), 7)
  
imports: import io
  import pathlib
  import tempfile
  import unittest
  import zipfile
  import torch
  import torch._dynamo
  from torch.export import export, save, load, Dim
  from torch._export.db.case import ExportCase, normalize_inputs, SupportLevel
  from torch._export.db.examples import all_examples
  from torch._export.serde.serialize import ExportedProgramDeserializer, ExportedProgramSerializer, canonicalize, deserialize, serialize, SerializeError
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.fx.experimental.symbolic_shapes import is_concrete_int
  import torch.utils._pytree
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase, TemporaryFileName, IS_FBCODE, IS_MACOS, IS_SANDCASTLE, IS_WINDOWS, find_library_location
label_desc: Use image node_id 2 for calling the TestSerializeCustomClass obj's underlying member method code with example usage: obj.test_custom_class() and returns: unknown