code: def ShuffleNetG3():
      cfg = {
          "out_planes": [240, 480, 960],
          "num_blocks": [4, 8, 4],
          "groups": 3,
      }
      return ShuffleNet(cfg)
  
file_path: nni/examples/trials/cifar10_pytorch/models/shufflenet.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling a global function with example usage: ShuffleNetG3() and returns: ShuffleNet