code: def test_sample_shape(self):
      dist = increment_log_prob.IncrementLogProb(5.0)
      seed = test_util.test_seed()
      sample_shape = [10]
      increment_log_prob_sample = dist.sample(
          sample_shape=sample_shape, seed=seed
      )
      self.assertEqual(
          increment_log_prob_sample.shape,
          tf.TensorShape(sample_shape) + tf.TensorShape([0]),
      )
  
file_path: probability/tensorflow_probability/python/experimental/distributions/increment_log_prob_test.py
imports: from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.experimental.distributions import increment_log_prob
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the IncrementLogProbTest obj's underlying member method code with example usage: obj.test_sample_shape() without return types