code: def DPN92():
      cfg = {
          "in_planes": (96, 192, 384, 768),
          "out_planes": (256, 512, 1024, 2048),
          "num_blocks": (3, 4, 20, 3),
          "dense_depth": (16, 32, 24, 128),
      }
      return DPN(cfg)
  
file_path: nni/examples/trials/cifar10_pytorch/models/dpn.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: DPN92() and returns: DPN