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Merge pull request PaddlePaddle#866 from gangliao/doc_cn
Integrate doc en/cn into single doc
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12 changes: 6 additions & 6 deletions
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doc_cn/ui/data_provider/dataprovider.rst → doc/api/data_provider/dataprovider_cn.rst
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DataProvider的介绍 | ||
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DataProvider是PaddlePaddle负责提供数据的模块。其作用是将数据传入内存或显存,让神经网络可以进行训练或预测。用户可以通过简单使用Python接口 `PyDataProvider2 <pydataprovider2.html>`_ ,来自定义传数据的过程。如果有更复杂的使用,或者需要更高的效率,用户也可以在C++端自定义一个 ``DataProvider`` 。 | ||
DataProvider是PaddlePaddle负责提供数据的模块。其作用是将数据传入内存或显存,让神经网络可以进行训练或预测。用户可以通过简单使用Python接口 `PyDataProvider2 <pydataprovider2.html>`_ ,来自定义传数据的过程。如果有更复杂的使用,或者需要更高的效率,用户也可以在C++端自定义一个 ``DataProvider`` 。 | ||
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PaddlePaddle需要用户在网络配置(trainer_config.py)中定义使用哪种DataProvider,并且在DataProvider中实现如何访问训练文件列表(train.list)或测试文件列表(test.list)。 | ||
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- train.list和test.list存放在本地(推荐直接存放到训练目录,以相对路径引用)。一般情况下,两者均为纯文本文件,其中每一行对应一个数据文件地址: | ||
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- 如果数据文件存于本地磁盘,这个地址则为它的绝对路径或相对路径(相对于PaddlePaddle程序运行时的路径)。 | ||
- 地址也可以为hdfs文件路径,或者数据库连接路径等。 | ||
- 由于这个地址会被DataProvider使用,因此,如何解析该地址也是用户自定义DataProvider时需要考虑的地方。 | ||
- train.list和test.list存放在本地(推荐直接存放到训练目录,以相对路径引用)。一般情况下,两者均为纯文本文件,其中每一行对应一个数据文件地址: | ||
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- 如果数据文件存于本地磁盘,这个地址则为它的绝对路径或相对路径(相对于PaddlePaddle程序运行时的路径)。 | ||
- 地址也可以为hdfs文件路径,或者数据库连接路径等。 | ||
- 由于这个地址会被DataProvider使用,因此,如何解析该地址也是用户自定义DataProvider时需要考虑的地方。 | ||
- 如果没有设置test.list,或设置为None,那么在训练过程中不会执行测试操作;否则,会根据命令行参数指定的测试方式,在训练过程中进行测试,从而防止过拟合。 |
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