| # -*- coding: UTF-8 -*- | |
| # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """ | |
| Define the function to create lexical analysis model and model's data reader | |
| """ | |
| import sys | |
| import os | |
| import math | |
| import paddle | |
| import paddle.fluid as fluid | |
| from paddle.fluid.initializer import NormalInitializer | |
| import jieba.lac_small.nets as nets | |
| def create_model(vocab_size, num_labels, mode='train'): | |
| """create lac model""" | |
| # model's input data | |
| words = fluid.data(name='words', shape=[-1, 1], dtype='int64', lod_level=1) | |
| targets = fluid.data( | |
| name='targets', shape=[-1, 1], dtype='int64', lod_level=1) | |
| # for inference process | |
| if mode == 'infer': | |
| crf_decode = nets.lex_net( | |
| words, vocab_size, num_labels, for_infer=True, target=None) | |
| return { | |
| "feed_list": [words], | |
| "words": words, | |
| "crf_decode": crf_decode, | |
| } | |
| return ret | |