marker.py 文件源码

def demo2vec(self,sentece):
        ut_arr = []
        batch_size = len(sample_arr)
        vec_cahce = []
        for i in range(batch_size):
            pad = [data_utils.PAD_ID]*(self.max_ut_size-len(sample_arr[i][0]))  #0???
            vec_cache.append(list(reversed(sample_arr[i][0]+pad)))  #????
        for i in range(self.max_ut_size):
            temp = np.array([ vec_cache[index][i] for index in range(batch_size)])
            ut_arr.append(temp)
        return ut_arr
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