code: def testDoesNotRaiseIfInitializedWithSymmetricMatrix(self):
      mu = rng.rand(10)
      sigma = self._random_pd_matrix(10, 10)
      mvn = mvn_full_covariance.MultivariateNormalFullCovariance(
          mu, sigma, validate_args=True
      )
      # Should not raise
      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 4 for calling the MultivariateNormalFullCovarianceTest obj's underlying member method code with example usage: obj.testDoesNotRaiseIfInitializedWithSymmetricMatrix() without return types