code: def test_forward_eval(self):
      data = self.create_test_data()
      likelihood, labels = self.create_likelihood_and_labels()
      model = self.create_model(data, labels, likelihood)
      model.eval()
      output = model(data)
      self.assertTrue(output.lazy_covariance_matrix.dim() == 2)
      self.assertTrue(
          output.lazy_covariance_matrix.size(-1) == data.size(-2)
      )
      self.assertTrue(
          output.lazy_covariance_matrix.size(-2) == data.size(-2)
      )
  
imports: from abc import abstractmethod
  import torch
  import gpytorch
label_desc: Use image node_id 9 for calling the BaseModelTestCase obj's underlying member method code with example usage: obj.test_forward_eval() without return types