class_docstr: Tests the correctness of the Y = inv(tril) transformation.
class_docstr_tok: ["Tests","the","correctness","of","the","Y","=","inv","(","tril",")","transformation","."]
code: def testOneByOneMatrix(self):
      inv = matrix_inverse_tril.MatrixInverseTriL(validate_args=True)
      x_ = np.array([[5.0]], dtype=np.float32)
      x_inv_ = np.array([[0.2]], dtype=np.float32)
  
      y = inv.forward(x_)
      x_back = inv.inverse(x_inv_)
  
      y_, x_back_ = self.evaluate([y, x_back])
  
      self.assertAllClose(x_inv_, y_, atol=0.0, rtol=1e-5)
      self.assertAllClose(x_, x_back_, atol=0.0, rtol=1e-5)
  
file_path: probability/tensorflow_probability/python/bijectors/matrix_inverse_tril_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import fill_triangular
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import matrix_inverse_tril
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the MatrixInverseTriLBijectorTest obj's underlying member method code with example usage: obj.testOneByOneMatrix() without return types