code: def _test_log_prob(self, batch_shape):
      likelihood = self.create_likelihood()
      input = self._create_marginal_input(batch_shape)
      target = self._create_targets(batch_shape)
      output = likelihood.expected_log_prob(target, input)
  
      self.assertTrue(torch.is_tensor(output))
      self.assertEqual(output.shape, batch_shape + torch.Size([5]))
  
file_path: gpytorch/test/likelihoods/test_softmax_likelihood.py
imports: import unittest
  import torch
  from torch.distributions import Distribution
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.likelihoods import SoftmaxLikelihood
  from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCase
label_desc: Use image node_id 6 for calling the TestSoftmaxLikelihood obj's underlying member method code with example usage: obj._test_log_prob(batch_shape) without return types