class_docstr: NegativeBinomial distribution.
  
  The NegativeBinomial distribution is related to the experiment of performing
  Bernoulli trials in sequence. Given a Bernoulli trial with probability `p` of
  success, the NegativeBinomial distribution represents the distribution over
  the number of successes `s` that occur until we observe `f` failures.
  
  The probability mass function (pmf) is,
  
  ```none
  pmf(s; f, p) = p**s (1 - p)**f / Z
  Z = s! (f - 1)! / (s + f - 1)!
  ```
  
  where:
  * `total_count = f`,
  * `probs = p`,
  * `Z` is the normalizaing constant, and,
  * `n!` is the factorial of `n`.
docstr: Logits computed from non-`None` input arg (`probs` or `logits`).
docstr_tok: ["Logits","computed","from","non-","`","None","`","input","arg","(","`","probs","`","or","`","logits","`",")","."]
code: def _logits_parameter_no_checks(self, name=None):
      """Logits computed from non-`None` input arg (`probs` or `logits`)."""
      if self._logits is None:
          probs = tf.convert_to_tensor(self._probs)
          return tf.math.log(probs) - tf.math.log1p(-probs)
      return tensor_util.identity_as_tensor(self._logits)
  
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  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.math import special
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 15 for calling the NegativeBinomial obj's underlying member method code with example usage: obj._logits_parameter_no_checks(name) and returns: tensor_util, unknown