code: def setUp(self):
      in_channels = [256, 512, 1024, 2048]
      size = [112, 56, 28, 14]
      inputs = []
      for i in range(4):
          inputs.append(torch.rand(1, in_channels[i], size[i], size[i]))
      self.inputs = inputs
  
imports: import unittest
  import torch
  from parameterized import parameterized
  from mmocr.models.textdet.necks import FPNF
label_desc: Use image node_id 1 for calling the TestFPNF obj's underlying member method code with example usage: obj.setUp() without return types