code: def _create_marginal_input(self, batch_shape=torch.Size([])):
      mat = torch.randn(*batch_shape, 6, 5, 5)
      return MultitaskMultivariateNormal.from_batch_mvn(
          MultivariateNormal(
              torch.randn(*batch_shape, 6, 5),
              mat @ mat.transpose(-1, -2),
          )
      )
  
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 2 for calling the TestSoftmaxLikelihood obj's underlying member method code with example usage: obj._create_marginal_input(batch_shape) and returns: MultitaskMultivariateNormal