distributions.py 文件源码

def neglogp(self, x):
        return 0.5 * U.sum(tf.square((x - self.mean) / self.std), axis=len(x.get_shape()) - 1) \
               + 0.5 * np.log(2.0 * np.pi) * tf.to_float(tf.shape(x)[-1]) \
               + U.sum(self.logstd, axis=len(x.get_shape()) - 1)