code: def testSimpleIsCholeskyRandomPD(self):
      matrix = self._randomSymmetricMatrix(
          10, [2, 1, 3], 1e-6, 10.0, seed=42
      )
      chol, left = self.evaluate(
          (
              tf.linalg.cholesky(matrix),
              simple_robustified_cholesky(matrix),
          )
      )
      self.assertAllClose(chol, left)
  
file_path: probability/tensorflow_probability/python/experimental/linalg/no_pivot_ldl_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.linalg.no_pivot_ldl import no_pivot_ldl
  from tensorflow_probability.python.experimental.linalg.no_pivot_ldl import simple_robustified_cholesky
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 6 for calling the NoPivotLDLTest obj's underlying member method code with example usage: obj.testSimpleIsCholeskyRandomPD() without return types