code: def test_serialize_multiple_returns_from_node(self) -> None:
      class MyModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x, w, b):
              return torch.nn.functional.layer_norm(
                  x,
                  x.size()[1:],
                  weight=w,
                  bias=b,
                  eps=1e-5,
              )
  
      exported_module = export(
          MyModule(),
          (
              torch.ones([512, 512], requires_grad=True),
              torch.ones([512]),
              torch.ones([512]),
          ),
      )
  
      serialized = ExportedProgramSerializer().serialize(
          exported_module
      )
      node = serialized.exported_program.graph_module.graph.nodes[-1]
      self.assertEqual(
          node.target, "torch.ops.aten.native_layer_norm.default"
      )
      # aten::native_layer_norm returns 3 tensors
      self.assertEqual(len(node.outputs), 3)
  
      # check the names are unique
      seen = set()
      for output in node.outputs:
          name = output.as_tensor.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 2 for calling the TestSerialize obj's underlying member method code with example usage: obj.test_serialize_multiple_returns_from_node() and returns: torch