code: def test_shape(self):
      def f(x):
          z, y = x.size()
          return z + y + x[0], z
  
      inputs = (torch.ones(2, 3),)
      dim0_x, dim1_x = torch.export.dims("dim0_x", "dim1_x")
      dynamic_shapes = {"x": (dim0_x, dim1_x)}
      self.check_graph(f, inputs, dynamic_shapes)
  
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 6 for calling the TestDeserialize obj's underlying member method code with example usage: obj.test_shape() and returns: unknown,  z