code: def test():
      net = RetinaFPN101()
      fms = net(torch.randn(1, 3, 600, 900))
      for fm in fms:
          print(fm.size())
  
file_path: pywick/pywick/models/localization/retina_fpn.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
label_desc: Use image node_id 2 for calling a global function with example usage: test() without return types