class_docstr: Test ConvNeXt model
code: def test_model(self):
      data = torch.rand(1, 3, 32, 32).to(self.device)
      model = create_model(
          device=self.device,
          in_chans=3,
          num_classes=5,
          depths=(2, 3, 4, 5),
          dims=(3, 6, 9, 12),
      )
      outs = model(data)
      self.assertTrue(outs.shape == (1, 5))
  
imports: import unittest
  import torch
  from towhee.models.convnext 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