code: def _test_log_prob(self, batch_shape):
      likelihood = self.create_likelihood()
      likelihood.max_plate_nesting += len(batch_shape)
      input = self._create_marginal_input(batch_shape)
      target = self._create_targets(batch_shape)
      with gpytorch.settings.num_likelihood_samples(512):
          output = likelihood.expected_log_prob(target, input)
  
      self.assertTrue(torch.is_tensor(output))
      self.assertEqual(output.shape, batch_shape + torch.Size([5]))
      with gpytorch.settings.num_likelihood_samples(512):
          default_log_prob = Likelihood.expected_log_prob(
              likelihood, target, input
          )
      self.assertAllClose(output, default_log_prob, rtol=0.25)
  
file_path: gpytorch/gpytorch/test/base_likelihood_test_case.py
imports: from abc import abstractmethod
  import torch
  from torch.distributions import Distribution
  import gpytorch
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.likelihoods import Likelihood
  from .base_test_case import BaseTestCase
label_desc: Use image node_id 7 for calling the BaseLikelihoodTestCase obj's underlying member method code with example usage: obj._test_log_prob(batch_shape) without return types