code: def test_alexnet(self):
      from .inject_nn import inject_pytorch_nn, remove_inject_pytorch_nn
  
      try:
          inject_pytorch_nn()
          x = torch.ones(1, 3, 224, 224)
          model = torchvision.models.AlexNet()
          self.checkExportImport(model, (x,))
      finally:
          remove_inject_pytorch_nn()
  
imports: import unittest
  import torch
  import torch.nn.functional
  import torchvision
  import nni.nas.nn.pytorch.layers
  from nni.nas.nn.pytorch import ParametrizedModule
  from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
label_desc: Use image node_id 11 for calling the TestConvert obj's underlying member method code with example usage: obj.test_alexnet() without return types