code: def test_model(self):
      dummyinput = torch.randn(1024, 4, 1024)
      mask = torch.randint(0, 2, (1024, 4))
      out = self.model.forward(dummyinput, mask=mask)
      self.assertEqual(out.shape, (1024, 1024))
  
imports: import unittest
  import os
  import torch
  from towhee.models.mcprop.transformerpooling import TransformerPooling
label_desc: Use image node_id 1 for calling the TransformerPoolingTest obj's underlying member method code with example usage: obj.test_model() without return types