code: def test_tensor_tensor_list(self):
      from torch.library import Library
  
      lib = Library("_export", "FRAGMENT")
      lib.define(
          "_test_tensor_tensor_list_output(Tensor x, Tensor y) -> (Tensor, Tensor[])",
          tags=torch.Tag.pt2_compliant_tag,
      )
  
      def _test_tensor_tensor_list_output(x, y):
          return y, [x]
  
      lib.impl(
          "_test_tensor_tensor_list_output",
          _test_tensor_tensor_list_output,
          "CPU",
      )
      lib.impl(
          "_test_tensor_tensor_list_output",
          _test_tensor_tensor_list_output,
          "Meta",
      )
  
      class M(torch.nn.Module):
          def forward(self, x, y):
              (
                  a,
                  b,
              ) = torch.ops._export._test_tensor_tensor_list_output.default(
                  x, y
              )
              return a + b[0]
  
      self.check_graph(M(), (torch.rand(3, 2), torch.rand(3, 2)))
  
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 11 for calling the TestDeserialize obj's underlying member method code with example usage: obj.test_tensor_tensor_list() and returns: y,  list, unknown