code: def test_forward(self, fusion_type):
      fpnf = FPNF(fusion_type=fusion_type)
      outputs = fpnf.forward(self.inputs)
      self.assertListEqual(list(outputs.size()), [1, 256, 112, 112])
  
imports: import unittest
  import torch
  from parameterized import parameterized
  from mmocr.models.textdet.necks import FPNF
label_desc: Use image node_id 2 for calling the TestFPNF obj's underlying member method code with example usage: obj.test_forward(fusion_type) without return types