code: def _create_marginal_input(self, batch_shape=torch.Size([])):
      data_mat = ToeplitzLinearOperator(
          torch.tensor([1, 0.6, 0.4, 0.2, 0.1])
      )
      task_mat = RootLinearOperator(
          torch.tensor([[1.0], [2.0], [3.0], [4.0]])
      )
      covar = KroneckerProductLinearOperator(task_mat, data_mat)
      return MultitaskMultivariateNormal(
          torch.randn(*batch_shape, 5, 4), covar, interleaved=False
      )
  
imports: import unittest
  import torch
  from linear_operator.operators import KroneckerProductLinearOperator, RootLinearOperator, ToeplitzLinearOperator
  from gpytorch.distributions import MultitaskMultivariateNormal
  from gpytorch.likelihoods import MultitaskGaussianLikelihood
  from gpytorch.test.base_likelihood_test_case import BaseLikelihoodTestCase
label_desc: Use image node_id 1 for calling the TestMultitaskGaussianLikelihoodNonInterleaved obj's underlying member method code with example usage: obj._create_marginal_input(batch_shape) and returns: MultitaskMultivariateNormal