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.. _cn_api_incubate_autotune_set_config: | ||
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set_config | ||
--------------------- | ||
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.. py:function:: paddle.incubate.autotune.set_config(config=None) | ||
配置kernel、layout和dataloader的自动调优功能。 | ||
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1. kernel:当开启自动调优,将使用穷举搜索的方法在调优的迭代区间内为算子选择最佳算法,并将其缓存下来。调优参数如下: | ||
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- enable(bool):是否开启kernel的调优功能。默认值:False。 | ||
- tuning_range(list):自动调优开始和结束的迭代序号。默认值:[1, 10]。 | ||
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2. layout:当开启自动调优,将根据设备和数据类型确定最优的数据布局如NCHW或者NHWC。当原始的layout设置并非最优时,将会自动进行layout的转换已提升模型的性能。调优参数如下: | ||
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- enable(bool):是否开启layout的调优功能。默认值:False。 | ||
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3. dataloader:当开启自动调优,将自动选择最佳的num_workers替换原始的配置。调优参数如下: | ||
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- enable(bool):是否开启dataloader的调优功能。默认值:False。 | ||
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参数 | ||
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- **config** (dict|str|None,可选) - 自动调整的配置。如果它是字典,则键是调优类型,值是调优参数构成的字典。如果它是字符串,则表示json文件路径,将根据json 文件内容配置调优参数。默认值:None,使用默认配置。 | ||
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代码示例 | ||
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COPY-FROM: paddle.incubate.autotune.set_config:auto-tuning |
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文档预览构建完成,请点击查看: http://preview-pr-4687.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html