code: def test_log_prob_sample_shape(self):
      increment_amount = 5.0
      dist = increment_log_prob.IncrementLogProb(increment_amount)
      self.assertEqual([3], list(dist.log_prob(tf.zeros([3, 0])).shape))
  
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 7 for calling the IncrementLogProbTest obj's underlying member method code with example usage: obj.test_log_prob_sample_shape() without return types