code: def test_eval_iteration(
      self,
      inducing_batch_shape=None,
      model_batch_shape=None,
      expected_batch_shape=None,
  ):
      # Batch shapes
      model_batch_shape = (
          model_batch_shape
          if model_batch_shape is not None
          else self.batch_shape
      )
      inducing_batch_shape = (
          inducing_batch_shape
          if inducing_batch_shape is not None
          else self.batch_shape
      )
      expected_batch_shape = (
          expected_batch_shape
          if expected_batch_shape is not None
          else self.batch_shape
      )
  
      # Make model and likelihood
      model, likelihood = self._make_model_and_likelihood(
          batch_shape=model_batch_shape,
          inducing_batch_shape=inducing_batch_shape,
      )
  
      # Do one forward pass
      self._training_iter(
          model, likelihood, mll_cls=self.mll_cls, cuda=self.cuda
      )
  
      # Now do evaluation
      # Iter 1
      _ = self._eval_iter(model, cuda=self.cuda)
      output = self._eval_iter(model, cuda=self.cuda)
      self.assertEqual(output.batch_shape, expected_batch_shape)
      self.assertEqual(output.event_shape, self.event_shape)
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.test.variational_test_case import VariationalTestCase
label_desc: Use image node_id 15 for calling the TestVNNGP obj's underlying member method code with example usage: obj.test_eval_iteration(inducing_batch_shape, model_batch_shape, expected_batch_shape) without return types