code: def test_training_iteration(self, *args, **kwargs):
      (
          cg_mock,
          cholesky_mock,
          ciq_mock,
      ) = super().test_training_iteration(*args, **kwargs)
      self.assertFalse(cg_mock.called)
      self.assertEqual(
          cholesky_mock.call_count, 2
      )  # One for each forward pass, and for computing prior dist
      self.assertFalse(ciq_mock.called)
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.test.variational_test_case import VariationalTestCase
label_desc: Use image node_id 6 for calling the TestBatchDecoupledVariationalGP obj's underlying member method code with example usage: obj.test_training_iteration() without return types