code: def test_multivariate_normal_batch_correlated_samples_cuda(self):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_multivariate_normal_batch_correlated_samples(
                  cuda=True
              )
  
imports: import math
  import os
  import random
  import unittest
  import torch
  from linear_operator.operators import DiagLinearOperator, KroneckerProductLinearOperator
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 12 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.test_multivariate_normal_batch_correlated_samples_cuda() without return types