code: def test_lkj_prior_sample(self):
      prior = LKJCholeskyFactorPrior(2, 0.5)
      random_samples = prior.sample(torch.Size((6,)))
      self.assertTrue(
          _is_valid_correlation_matrix_cholesky_factor(random_samples)
      )
      self.assertEqual(random_samples.shape, torch.Size((6, 2, 2)))
  
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 7 for calling the TestLKJCholeskyFactorPrior obj's underlying member method code with example usage: obj.test_lkj_prior_sample() without return types