class_docstr: Tests the correctness of the FillScaleTriL bijector.
code: def testComputesCorrectValues(self):
      shift = 1.61803398875
      x = np.float32(np.array([-1, 0.5, 2]))
      y = np.float32(
          np.array(
              [[np.exp(2) + shift, 0.0], [0.5, np.exp(-1) + shift]]
          )
      )
  
      b = fill_scale_tril.FillScaleTriL(
          diag_bijector=exp.Exp(), diag_shift=shift
      )
  
      y_ = self.evaluate(b.forward(x))
      self.assertAllClose(y, y_, rtol=1e-4)
  
      x_ = self.evaluate(b.inverse(y))
      self.assertAllClose(x, x_, rtol=1e-4)
  
file_path: probability/tensorflow_probability/python/bijectors/fill_scale_tril_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import fill_scale_tril
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the FillScaleTriLBijectorTest obj's underlying member method code with example usage: obj.testComputesCorrectValues() without return types