code: def _make_layers(self, in_planes):
      layers = []
      for x in self.cfg:
          out_planes = x if isinstance(x, int) else x[0]
          stride = 1 if isinstance(x, int) else x[1]
          layers.append(Block(in_planes, out_planes, stride))
          in_planes = out_planes
      return nn.Sequential(*layers)
  
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 2 for calling the MobileNet obj's underlying member method code with example usage: obj._make_layers(in_planes) and returns: nn