class_docstr: Tests correctness of the Kumaraswamy bijector.
class_docstr_tok: ["Tests","correctness","of","the","Kumaraswamy","bijector","."]
code: def testBijectorConcentration1LogDetJacobianFiniteAtZero(self):
      # When concentration = 1., forward_log_det_jacobian should be finite at
      # zero.
      concentration0 = np.logspace(0.1, 10.0, num=20).astype(np.float32)
      bijector = kumaraswamy_cdf.KumaraswamyCDF(
          concentration1=1.0, concentration0=concentration0
      )
      ildj = self.evaluate(
          bijector.inverse_log_det_jacobian(0.0, event_ndims=0)
      )
      self.assertAllEqual(
          np.ones_like(ildj, dtype=np.bool_), np.isfinite(ildj)
      )
  
file_path: probability/tensorflow_probability/python/bijectors/kumaraswamy_cdf_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import kumaraswamy_cdf
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the KumaraswamyTest obj's underlying member method code with example usage: obj.testBijectorConcentration1LogDetJacobianFiniteAtZero() without return types