code: def _make_layers(self, in_planes, cfg, layer):
      layers = []
      for x in cfg:
          out_planes = x if isinstance(x, int) else x[0]
          stride = 1 if isinstance(x, int) else x[1]
          layers.append(layer(in_planes, out_planes, stride))
          in_planes = out_planes
      return nn.Sequential(*layers)
  
file_path: nni/test/ut/sdk/models/pytorch_models/mobilenet.py
imports: import torch.nn
  import math
label_desc: Use image node_id 3 for calling the MobileNet obj's underlying member method code with example usage: obj._make_layers(in_planes, cfg, layer) and returns: nn