code: def _log_unnormalized_prob_probs(probs, counts, total_count):
      """Log unnormalized probability from probs."""
      probs = tf.convert_to_tensor(probs)
      return tf.math.multiply_no_nan(
          tf.math.log(probs), counts
      ) + tf.math.multiply_no_nan(
          tf.math.log1p(-probs), total_count - counts
      )
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import batched_rejection_sampler
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import implementation_selection
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import special
label_desc: Use image node_id 9 for calling a global function with example usage: _log_unnormalized_prob_probs(probs, counts, total_count) and returns: unknown