code: def test_multivariate_normal_prior_validate_args(self):
      with self.assertRaises(ValueError):
          mean = torch.tensor([0.0, 1.0])
          cov = torch.tensor([[1.0, 2.0], [2.0, 0.5]])
          MultivariateNormalPrior(
              mean, covariance_matrix=cov, validate_args=True
          )
  
file_path: gpytorch/test/priors/test_multivariate_normal_prior.py
imports: import unittest
  import torch
  from torch.distributions import MultivariateNormal
  from gpytorch.priors import MultivariateNormalPrior
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 2 for calling the TestMultivariateNormalPrior obj's underlying member method code with example usage: obj.test_multivariate_normal_prior_validate_args() without return types