univariate.py 文件源码

def _log_prob(self, given):
        mean, logstd = self.path_param(self.mean),\
                       self.path_param(self.logstd)
        c = -0.5 * np.log(2 * np.pi)
        precision = tf.exp(-2 * logstd)
        if self._check_numerics:
            precision = tf.check_numerics(precision, "precision")
        return c - logstd - 0.5 * precision * tf.square(given - mean)