code: def test_multitask_multivariate_normal_exceptions(self, cuda=False):
      device = torch.device("cuda") if cuda else torch.device("cpu")
      for dtype in (torch.float, torch.double):
          mean = torch.tensor([0, 1], device=device, dtype=dtype)
          covmat = torch.eye(2, device=device, dtype=dtype)
          with self.assertRaises(RuntimeError):
              MultitaskMultivariateNormal(
                  mean=mean, covariance_matrix=covmat
              )
  
imports: import math
  import os
  import random
  import unittest
  import torch
  from linear_operator.operators import DiagLinearOperator, KroneckerProductLinearOperator
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 3 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.test_multitask_multivariate_normal_exceptions(cuda) without return types