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40 lines
1.2 KiB
40 lines
1.2 KiB
3 years ago
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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 time
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import paddle
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def collate_features(batch):
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# (key, feat, label)
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collate_start = time.time()
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keys = []
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feats = []
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labels = []
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lengths = []
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for sample in batch:
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keys.append(sample[0])
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feats.append(sample[1])
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labels.append(sample[2])
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lengths.append(sample[1].shape[0])
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max_length = max(lengths)
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for i in range(len(feats)):
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feats[i] = paddle.nn.functional.pad(
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feats[i], [0, max_length - feats[i].shape[0], 0, 0],
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data_format='NLC')
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return keys, paddle.stack(feats), paddle.to_tensor(
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labels), paddle.to_tensor(lengths)
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