# Copyright (c) 2016 Baidu, Inc. 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. from paddle.trainer.PyDataProvider2 import * UNK_IDX = 0 def hook(settings, word_dict, label_dict, **kwargs): settings.word_dict = word_dict settings.label_dict = label_dict #all inputs are integral and sequential type settings.slots = [ integer_value_sequence(len(word_dict)), integer_value_sequence(len(word_dict)), integer_value_sequence(len(word_dict)), integer_value_sequence(len(word_dict)), integer_value_sequence(len(word_dict)), integer_value_sequence(2), integer_value_sequence(len(label_dict)) ] @provider(init_hook=hook) def process(obj, file_name): with open(file_name, 'r') as fdata: for line in fdata: sentence, predicate, ctx_n1, ctx_0, ctx_p1, mark, label = \ line.strip().split('\t') words = sentence.split() sen_len = len(words) word_slot = [obj.word_dict.get(w, UNK_IDX) for w in words] predicate_slot = [obj.word_dict.get(predicate, UNK_IDX)] * sen_len ctx_n1_slot = [obj.word_dict.get(ctx_n1, UNK_IDX)] * sen_len ctx_0_slot = [obj.word_dict.get(ctx_0, UNK_IDX)] * sen_len ctx_p1_slot = [obj.word_dict.get(ctx_p1, UNK_IDX)] * sen_len marks = mark.split() mark_slot = [int(w) for w in marks] label_list = label.split() label_slot = [obj.label_dict.get(w) for w in label_list] yield word_slot, predicate_slot, ctx_n1_slot, \ ctx_0_slot, ctx_p1_slot, mark_slot, label_slot