code: def test_kl_divergence_cuda(self):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_kl_divergence(cuda=True)
  
imports: import math
  import unittest
  import torch
  from linear_operator import to_linear_operator
  from linear_operator.operators import DenseLinearOperator, DiagLinearOperator, LinearOperator, RootLinearOperator
  from torch.distributions import MultivariateNormal
  from gpytorch.distributions import MultivariateNormal
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 16 for calling the TestMultivariateNormal obj's underlying member method code with example usage: obj.test_kl_divergence_cuda() without return types