wehub-resource-sync
85 lines
2.4 KiB
Python
85 lines
2.4 KiB
Python
# 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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from __future__ import annotations
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from typing import TYPE_CHECKING, TypeVar
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if TYPE_CHECKING:
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from collections.abc import Callable, Generator
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_T = TypeVar('_T')
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__all__ = []
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def batch(
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reader: Callable[[], Generator[_T, None, None]],
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batch_size: int,
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drop_last: bool = False,
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) -> Callable[[], Generator[list[_T], None, None]]:
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"""
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This operator creates a batched reader which combines the data from the
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input reader to batched data.
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Args:
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reader(generator): the data reader to read from.
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batch_size(int): size of each mini-batch.
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drop_last(bool, optional): If set to True, the last batch is dropped when
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the size of last batch is not equal to batch_size, if set to False,
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it will not. Default: False.
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Returns:
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The batched reader.
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Return Type:
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generator
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> def reader():
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... for i in range(10):
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... yield i
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>>> batch_reader = paddle.batch(reader, batch_size=2)
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>>> for data in batch_reader():
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... print(data)
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[0, 1]
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[2, 3]
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[4, 5]
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[6, 7]
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[8, 9]
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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 is 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(
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"batch_size should be a positive integer value, "
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f"but got batch_size={batch_size}"
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)
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return batch_reader
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