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- # copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
- #
- # 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.
- import numpy as np
- class TensorizeEntitiesRelations(object):
- def __init__(self, max_seq_len=512, infer_mode=False, **kwargs):
- self.max_seq_len = max_seq_len
- self.infer_mode = infer_mode
- def __call__(self, data):
- entities = data['entities']
- relations = data['relations']
- entities_new = np.full(
- shape=[self.max_seq_len + 1, 3], fill_value=-1, dtype='int64')
- entities_new[0, 0] = len(entities['start'])
- entities_new[0, 1] = len(entities['end'])
- entities_new[0, 2] = len(entities['label'])
- entities_new[1:len(entities['start']) + 1, 0] = np.array(entities[
- 'start'])
- entities_new[1:len(entities['end']) + 1, 1] = np.array(entities['end'])
- entities_new[1:len(entities['label']) + 1, 2] = np.array(entities[
- 'label'])
- relations_new = np.full(
- shape=[self.max_seq_len * self.max_seq_len + 1, 2],
- fill_value=-1,
- dtype='int64')
- relations_new[0, 0] = len(relations['head'])
- relations_new[0, 1] = len(relations['tail'])
- relations_new[1:len(relations['head']) + 1, 0] = np.array(relations[
- 'head'])
- relations_new[1:len(relations['tail']) + 1, 1] = np.array(relations[
- 'tail'])
- data['entities'] = entities_new
- data['relations'] = relations_new
- return data
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