code: def __init__(self, num_classes=10):
      super(MobileNet, self).__init__()
      self.conv1 = nn.Conv2d(
          3, 32, kernel_size=3, stride=1, padding=1, bias=False
      )
      self.bn1 = nn.BatchNorm2d(32)
      self.layers = self._make_layers(in_planes=32)
      self.linear = nn.Linear(1024, num_classes)
  
file_path: nni/examples/trials/cifar10_pytorch/models/mobilenet.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new MobileNet object from inherited base classes: nn with example: obj = MobileNet(num_classes)