code: def create_batch_likelihood_and_labels(
      self, batch_shape=torch.Size([3])
  ):
      likelihood = gpytorch.likelihoods.GaussianLikelihood(
          batch_shape=batch_shape
      )
      labels = torch.randn(*batch_shape, 50) + 2
      return likelihood, labels
  
imports: import unittest
  import torch
  import gpytorch
  from gpytorch.models import ApproximateGP
  from gpytorch.test.model_test_case import VariationalModelTestCase
  from gpytorch.variational import CholeskyVariationalDistribution, VariationalStrategy
label_desc: Use image node_id 5 for calling the TestVariationalGP obj's underlying member method code with example usage: obj.create_batch_likelihood_and_labels(batch_shape) and returns: likelihood,  labels