code: def test_save_constants(self):
      class Foo(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.a = torch.tensor(3)
  
          def forward(self, x):
              list_tensor = [torch.tensor(3), torch.tensor(4)]
              return x + self.a + list_tensor[0] + list_tensor[1]
  
      ep = export(Foo(), (torch.tensor(1),))
      buffer = io.BytesIO()
      save(ep, buffer)
      buffer.seek(0)
      loaded_ep = load(buffer)
  
      inp = (torch.tensor(1),)
      self.assertTrue(torch.allclose(ep(*inp), loaded_ep(*inp)))
  
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 TestSaveLoad obj's underlying member method code with example usage: obj.test_save_constants() and returns: unknown