nvdm.py 文件源码

python
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项目:variational-text-tensorflow 作者: carpedm20 项目源码 文件源码
def sample(self, sample_size=20, text=None):
    """Sample the documents."""
    p = 1

    if text != None:
      try:
        x, word_idxs = self.reader.get(text)
      except Exception as e:
        print(e)
        return
    else:
      x, word_idxs = self.reader.random()
    print(" [*] Text: %s" % " ".join([self.reader.idx2word[word_idx] for word_idx in word_idxs]))

    cur_ps = self.sess.run(self.p_x_i, feed_dict={self.x: x})
    word_idxs = np.array(cur_ps).argsort()[-sample_size:][::-1]
    ps = cur_ps[word_idxs]

    for idx, (cur_p, word_idx) in enumerate(zip(ps, word_idxs)):
      print("  [%d] %-20s: %.8f" % (idx+1, self.reader.idx2word[word_idx], cur_p))
      p *= cur_p

      print(" [*] perp : %8.f" % -np.log(p))
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