code: def test_from_independent_mvns_cuda(self):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_from_independent_mvns(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 20 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.test_from_independent_mvns_cuda() without return types