50 lines
1.5 KiB
50 lines
1.5 KiB
# Copyright (c) 2016 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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__all__ = ['batch']
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def batch(reader, batch_size, drop_last=False):
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"""
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Create a batched reader.
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:param reader: the data reader to read from.
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:type reader: callable
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:param batch_size: size of each mini-batch
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:type batch_size: int
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:param drop_last: drop the last batch, if the size of last batch is not equal to batch_size.
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:type drop_last: bool
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:return: the batched reader.
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:rtype: callable
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"""
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def batch_reader():
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r = reader()
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b = []
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for instance in r:
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b.append(instance)
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if len(b) == batch_size:
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yield b
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b = []
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if drop_last == False and len(b) != 0:
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yield b
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# Batch size check
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batch_size = int(batch_size)
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if batch_size <= 0:
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raise ValueError("batch_size should be a positive integeral value, "
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"but got batch_size={}".format(batch_size))
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return batch_reader
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