code: def test_serialize_list_returns(self) -> None:
      class MyModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x):
              return torch.split(x, 2)
  
      input = torch.arange(10.0).reshape(5, 2)
      input.requires_grad = True
      exported_module = export(
          MyModule(), (input,)
      ).run_decompositions()
  
      serialized = ExportedProgramSerializer().serialize(
          exported_module
      )
      node = serialized.exported_program.graph_module.graph.nodes[-1]
      # split.Tensor gets decomposed to split_with_sizes by the core ATen decomposition table
      self.assertEqual(
          node.target, "torch.ops.aten.split_with_sizes.default"
      )
      self.assertEqual(len(node.outputs), 1)
      # Input looks like:
      # tensor([[0, 1],
      #         [2, 3],
      #         [4, 5],
      #         [6, 7],
      #         [8, 9]])
      # Output looks like:
      # (tensor([[0, 1],
      #          [2, 3]]),
      #  tensor([[4, 5],
      #          [6, 7]]),
      #  tensor([[8, 9]]))
      self.assertEqual(len(node.outputs[0].as_tensors), 3)
  
      # check the names are unique
      seen = set()
      for output in node.outputs[0].as_tensors:
          name = output.name
          self.assertNotIn(name, seen)
          seen.add(name)
  
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 3 for calling the TestSerialize obj's underlying member method code with example usage: obj.test_serialize_list_returns() and returns: torch