code: def _test_log_marginal(self, batch_shape):
      likelihood = self.create_likelihood()
      input = self._create_marginal_input(batch_shape)
      target = self._create_targets(batch_shape)
      output = likelihood.log_marginal(target, input)
  
      self.assertTrue(torch.is_tensor(output))
      self.assertEqual(output.shape, batch_shape + torch.Size([5]))
      default_log_prob = _OneDimensionalLikelihood.log_marginal(
          likelihood, target, input
      )
      self.assertAllClose(
          output.sum(-1), default_log_prob.sum(-1), rtol=0.25, atol=0.1
      )
  
file_path: gpytorch/test/likelihoods/test_student_t_likelihood.py
imports: import unittest
  import torch
  from gpytorch.likelihoods import _OneDimensionalLikelihood, StudentTLikelihood
  from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCase
label_desc: Use image node_id 3 for calling the TestStudentTLikelihood obj's underlying member method code with example usage: obj._test_log_marginal(batch_shape) without return types