code: def test_training_iteration(self, *args, **kwargs):
      with gpytorch.settings.max_cholesky_size(
          0
      ), gpytorch.settings.use_toeplitz(False):
          (
              cg_mock,
              cholesky_mock,
              ciq_mock,
          ) = super().test_training_iteration(*args, **kwargs)
      self.assertEqual(
          cg_mock.call_count, 2
      )  # One for each forward pass
      if (
          self.distribution_cls
          == gpytorch.variational.CholeskyVariationalDistribution
      ):
          self.assertEqual(cholesky_mock.call_count, 1)
      else:
          self.assertFalse(cholesky_mock.called)
      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 7 for calling the TestGridVariationalGP obj's underlying member method code with example usage: obj.test_training_iteration() without return types