code: def testIsFiniteLargeX(self):
      a = tf.constant(1.0)
      b = tf.constant(2.0)
      dist = sigmoid_beta.SigmoidBeta(a, b, validate_args=True)
      x = [1e10]
      expected = [-2 * 1e10]
      log_pdf = dist.log_prob(x)
      self.assertAllClose(log_pdf, expected)
  
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 10 for calling the SigmoidBetaTest obj's underlying member method code with example usage: obj.testIsFiniteLargeX() without return types