def _log_gamma_log_prob(self, x, event_dims=()):
return tf.reduce_sum(<EOL>input_tensor=self._shape_param * x - self._rate_param * tf.exp(x),<EOL>axis=event_dims)<EOL>
Computes unnormalized log-pdf of a log-gamma random variable.

        Args:
          x: Value of the random variable.
          event_dims: Dimensions not to treat as independent.

        Returns:
          log_prob: The log-pdf up to a normalizing constant.