code: def test_lkj_prior_to_gpu(self):
      if torch.cuda.is_available():
          prior = LKJPrior(2, 1.0).cuda()
          self.assertEqual(prior.eta.device.type, "cuda")
  
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 1 for calling the TestLKJPrior obj's underlying member method code with example usage: obj.test_lkj_prior_to_gpu() without return types