jieba/jieba/lac_small/creator.py
JesseyXujin 5b3bb4b7f2 加入paddle分词和词性标注功能 (#788)
* paddle cut release

* 修改README.md,提示用户安装paddlepaddle.tiny

* 删除两个init.py文件中utf头文件

* 修改readme细节
2019-12-24 17:27:41 +08:00

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# -*- 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