code: def test_net():
      model = EMANet(num_classes=21, n_layers=50)
      model.eval()
      print(list(model.named_children()))
      image = torch.randn(1, 3, 513, 513)
      label = torch.zeros(1, 513, 513).long()
      pred = model(image, label)
      print(pred.size())
  
imports: import math
  import torch.utils.model_zoo
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.batchnorm import _BatchNorm
  from .None import settings
label_desc: Use image node_id 3 for calling a global function with example usage: test_net() without return types