prior.py 文件源码

def sample(self, n=None):
        if self._bernoulli is None:
            self._bernoulli = Bernoulli(self._steps_probs)

        sample = self._bernoulli.sample(n)
        sample = tf.cumprod(sample, tf.rank(sample) - 1)
        sample = tf.reduce_sum(sample, -1)
        return sample