class_docstr: Tests correctness of the rayleigh bijector.
code: def testVariableAssertsScale(self):
      scale = tf.Variable(1.0)
      b = rayleigh_cdf.RayleighCDF(scale=scale, validate_args=True)
      self.evaluate([scale.initializer])
      with self.assertRaisesOpError(
          "Argument `scale` must be positive."
      ):
          with tf.control_dependencies([scale.assign(-1.0)]):
              self.evaluate(b.forward(3.0))
  
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 6 for calling the RayleighCDFBijectorTest obj's underlying member method code with example usage: obj.testVariableAssertsScale() without return types