code: def testNoBackoff(self):
      matrix = np.array([[2.0, 1.0], [1.0, 2.0]])
      backoff = marginal_fns.make_backoff_cholesky(lambda x: x)
      test, ans = self.evaluate(
          (backoff(matrix), tf.linalg.cholesky(matrix))
      )
      self.assertAllClose(test, ans)
  
file_path: probability/tensorflow_probability/python/experimental/distributions/marginal_fns_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.distributions import marginal_fns
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling the MarginalFnsTest obj's underlying member method code with example usage: obj.testNoBackoff() without return types