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50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import numpy as np
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class TensorizeEntitiesRelations(object):
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def __init__(self, max_seq_len=512, infer_mode=False, **kwargs):
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self.max_seq_len = max_seq_len
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self.infer_mode = infer_mode
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def __call__(self, data):
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entities = data["entities"]
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relations = data["relations"]
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entities_new = np.full(
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shape=[self.max_seq_len + 1, 3], fill_value=-1, dtype="int64"
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)
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entities_new[0, 0] = len(entities["start"])
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entities_new[0, 1] = len(entities["end"])
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entities_new[0, 2] = len(entities["label"])
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entities_new[1 : len(entities["start"]) + 1, 0] = np.array(entities["start"])
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entities_new[1 : len(entities["end"]) + 1, 1] = np.array(entities["end"])
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entities_new[1 : len(entities["label"]) + 1, 2] = np.array(entities["label"])
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relations_new = np.full(
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shape=[self.max_seq_len * self.max_seq_len + 1, 2],
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fill_value=-1,
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dtype="int64",
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)
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relations_new[0, 0] = len(relations["head"])
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relations_new[0, 1] = len(relations["tail"])
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relations_new[1 : len(relations["head"]) + 1, 0] = np.array(relations["head"])
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relations_new[1 : len(relations["tail"]) + 1, 1] = np.array(relations["tail"])
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data["entities"] = entities_new
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data["relations"] = relations_new
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return data
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