code: def test_device(self) -> None:
      class MyModule(torch.nn.Module):
          def __init__(self):
              super().__init__()
              self.conv = torch.nn.Conv2d(3, 16, 3, stride=1, bias=True)
              self.relu = torch.nn.ReLU()
  
          def forward(self, x):
              conv = self.conv(x)
              relu = self.relu(conv)
              mul = relu * 0.5
              return mul
  
      inp = torch.randn((1, 3, 224, 224), dtype=torch.float).to("cuda")
      model = MyModule().eval().cuda()
      self.check_graph(model, (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 18 for calling the TestDeserialize obj's underlying member method code with example usage: obj.test_device() and returns: mul