class_docstr: Tests correctness of the rayleigh bijector.
code: def testBijector(self):
      scale = 50.0
      bijector = rayleigh_cdf.RayleighCDF(
          scale=scale, validate_args=True
      )
      self.assertStartsWith(bijector.name, "rayleigh")
      test_cdf_func = scipy_stats.rayleigh.cdf
      x = np.array(
          [[[0.1], [1.0], [14.0], [20.0], [100.0]]], dtype=np.float32
      )
      y = test_cdf_func(x, scale=scale).astype(np.float32)
      self.assertAllClose(y, self.evaluate(bijector.forward(x)))
      self.assertAllClose(x, self.evaluate(bijector.inverse(y)))
      self.assertAllClose(
          scipy_stats.rayleigh.logpdf(x, scale=scale),
          self.evaluate(
              bijector.forward_log_det_jacobian(x, event_ndims=0)
          ),
      )
      self.assertAllClose(
          self.evaluate(
              -bijector.inverse_log_det_jacobian(y, event_ndims=0)
          ),
          self.evaluate(
              bijector.forward_log_det_jacobian(x, event_ndims=0)
          ),
          rtol=1e-4,
          atol=0.0,
      )
  
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 1 for calling the RayleighCDFBijectorTest obj's underlying member method code with example usage: obj.testBijector() without return types