class_docstr: Tests correctness of the rayleigh bijector.
code: def testBijectorLogDetJacobianZeroAtZero(self):
      scale = np.logspace(0.1, 10.0, num=20).astype(np.float32)
      bijector = rayleigh_cdf.RayleighCDF(scale)
      fldj = self.evaluate(
          bijector.forward_log_det_jacobian(0.0, event_ndims=0)
      )
      self.assertAllNegativeInf(fldj)
  
file_path: probability/tensorflow_probability/python/bijectors/rayleigh_cdf_test.py
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import rayleigh_cdf
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the RayleighCDFBijectorTest obj's underlying member method code with example usage: obj.testBijectorLogDetJacobianZeroAtZero() without return types