code: def test_model(self):
      dummy_input = torch.randn(8, 8, 8, 1024)
      out = self.model(dummy_input, mask=None)
      self.assertEqual(out.shape, (8, 1024))
  
imports: import unittest
  import torch
  from towhee.models.mcprop.depthaggregator import DepthAggregator
label_desc: Use image node_id 1 for calling the DepthAggregatorTest obj's underlying member method code with example usage: obj.test_model() without return types