code: def testCDF(self):
      batch_size = 6
      a = tf.constant([2.0] * batch_size)
      b = tf.constant([3.0] * batch_size)
      x = np.array([0.0, 0.1, 0.2, 0.4, 0.5, 1.0], dtype=np.float32)
      dist = sigmoid_beta.SigmoidBeta(a, b, validate_args=True)
      cdf = dist.cdf(x)
      self.assertEqual(cdf.shape, (6,))
  
      expected_cdf = transformed_distribution.TransformedDistribution(
          distribution=beta.Beta(a, b),
          bijector=invert.Invert(sigmoid.Sigmoid()),
      ).cdf(x)
      self.assertAllClose(cdf, expected_cdf)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import sigmoid_beta
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 12 for calling the SigmoidBetaTest obj's underlying member method code with example usage: obj.testCDF() without return types