code: def test_lkj_covariance_prior_log_prob_hetsd_cuda(self):
      if torch.cuda.is_available():
          with least_used_cuda_device():
              self.test_lkj_covariance_prior_log_prob_hetsd(cuda=True)
  
imports: import unittest
  from math import exp
  import torch
  from torch.distributions import LKJCholesky
  from gpytorch.priors import LKJCholeskyFactorPrior, LKJCovariancePrior, LKJPrior, SmoothedBoxPrior
  from gpytorch.priors.lkj_prior import _is_valid_correlation_matrix, _is_valid_correlation_matrix_cholesky_factor
  from gpytorch.test.utils import approx_equal, least_used_cuda_device
label_desc: Use image node_id 6 for calling the TestLKJCovariancePrior obj's underlying member method code with example usage: obj.test_lkj_covariance_prior_log_prob_hetsd_cuda() without return types