code: def testBijector(self):
      bijector = cholesky_to_inv_cholesky.CholeskyToInvCholesky()
      self.assertStartsWith(bijector.name, "cholesky_to_inv_cholesky")
      x = np.array([[3.0, 0.0], [2.0, 7.0]], dtype=np.float32)
      m = x.dot(x.T)
      m_inv = np.linalg.inv(m)
      y = np.linalg.cholesky(m_inv)
      x_fwd = bijector.forward(x)
      y_inv = bijector.inverse(x_fwd)
      x_fwd_, y_inv_ = self.evaluate([x_fwd, y_inv])
      self.assertAllClose(y, x_fwd_, atol=1.0e-5, rtol=1.0e-5)
      self.assertAllClose(x, y_inv_, atol=1.0e-5, rtol=1.0e-5)
  
file_path: probability/tensorflow_probability/python/bijectors/cholesky_to_inv_cholesky_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import cholesky_to_inv_cholesky
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import fill_scale_tril
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the CholeskyToInvCholeskyTest obj's underlying member method code with example usage: obj.testBijector() without return types