class_docstr: Test HorNet model
code: def test_model(self):
      data = torch.rand(1, 3, 32, 32).to(self.device)
  
      model = create_model(
          num_classes=10,
          depths=(2, 2, 3, 3),
          base_dim=16,
          drop_path_rate=0.1,
          uniform_init=True,
      ).to(self.device)
      outs = model(data)
      self.assertTrue(outs.shape == (1, 10))
  
imports: import unittest
  import torch
  from towhee.models.hornet import create_model
label_desc: Use image node_id 1 for calling the TestModel obj's underlying member method code with example usage: obj.test_model() without return types