Created by: wanghaoshuang

               thres = 0.01
110         word = np.array(fluid.global_scope().find_var("word_embedding").get_tensor())
111         word[abs(word)>thres] = 0
112         tmp = np.log(np.abs(word) + 1)
113         max_range = np.max(tmp)
114         tmp = np.floor(127*tmp/max_range)
115         word = (np.exp(tmp * max_range / 127)-1) * np.sign(word)
116         fluid.global_scope().find_var("word_embedding").get_tensor().set(word, place)
117         logger.info("------------------quan done-------------------")