code: def create_likelihood(self):
      return GaussianLikelihood(batch_shape=torch.Size([2, 3]))
  
imports: import pickle
  import unittest
  import torch
  from linear_operator.operators import DiagLinearOperator
  from gpytorch import settings
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.likelihoods import DirichletClassificationLikelihood, FixedNoiseGaussianLikelihood, GaussianLikelihood
  from gpytorch.likelihoods.noise_models import FixedGaussianNoise
  from gpytorch.priors import GammaPrior
  from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCase
label_desc: Use image node_id 1 for calling the TestGaussianLikelihoodMultiBatch obj's underlying member method code with example usage: obj.create_likelihood() and returns: GaussianLikelihood