code: def _make_layers(self, in_planes):
      layers = []
      for expansion, out_planes, num_blocks, stride in self.cfg:
          strides = [stride] + [1] * (num_blocks - 1)
          for stride in strides:
              layers.append(
                  Block(in_planes, out_planes, expansion, stride)
              )
              in_planes = out_planes
      return nn.Sequential(*layers)
  
file_path: nni/examples/trials/cifar10_pytorch/models/mobilenetv2.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the MobileNetV2 obj's underlying member method code with example usage: obj._make_layers(in_planes) and returns: nn