class_docstr: Test utils for HorNet
code: def test_gnconv(self):
      data = torch.rand(1, 4, 2, 3).to(self.device)
      layer1 = GatedConv(
          dim=4, order=2, gflayer=None, h=2, w=3, s=1.0
      ).to(self.device)
      outs1 = layer1(data)
      self.assertTrue(outs1.shape == (1, 4, 2, 3))
  
      layer2 = GatedConv(
          dim=4, order=2, gflayer=GlobalLocalFilter, h=2, w=3, s=1.0
      ).to(self.device)
      outs2 = layer2(data)
      self.assertTrue(outs2.shape == (1, 4, 2, 3))
  
imports: import unittest
  import torch
  from towhee.models.hornet.utils import GatedConv, GlobalLocalFilter, Block
label_desc: Use image node_id 1 for calling the TestUtils obj's underlying member method code with example usage: obj.test_gnconv() without return types