code: def test_graph_module1(self):
      dummy_input = (torch.zeros(1, 3),)
  
      class myLinear(torch.nn.Module):
          def __init__(self):
              super(myLinear, self).__init__()
              self.l = torch.nn.Linear(3, 5)
  
          def forward(self, x):
              return self.l(x)
  
      self._test_graph(
          myLinear(),
          dummy_input,
          os.path.join(
              os.path.dirname(__file__),
              "expect",
              "test_graph_module1.expect",
          ),
      )
  
imports: import sys
  import os
  import math
  import uuid
  import shutil
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from tensorboard.compat.proto.graph_pb2 import GraphDef
  from google.protobuf import text_format
  import unittest
  from unittest import TestCase, main
  from nni.common.graph_utils import build_module_graph, build_graph, TorchModuleGraph, TUPLE_UNPACK_KIND
label_desc: Use image node_id 3 for calling the GraphUtilsTestCase obj's underlying member method code with example usage: obj.test_graph_module1() and returns: self