code: def testRaisesIfInitializedWithNonSymmetricMatrix(self):
      mu = [1.0, 2.0]
      sigma = [[1.0, 0.0], [1.0, 1.0]]  # Nonsingular, but not symmetric
      with self.assertRaisesOpError("not symmetric"):
          mvn = mvn_full_covariance.MultivariateNormalFullCovariance(
              mu, sigma, validate_args=True
          )
          self.evaluate(mvn.covariance())
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_full_covariance
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the MultivariateNormalFullCovarianceTest obj's underlying member method code with example usage: obj.testRaisesIfInitializedWithNonSymmetricMatrix() without return types