映射文档 No.240 #5951
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映射文档 No.240 #5951
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感谢你贡献飞桨文档，文档预览构建中，Docs-New 跑完后即可预览，预览链接：http://preview-pr-5951.paddle-docs-preview.paddlepaddle.org.cn/documentation/docs/zh/api/index_cn.html |
ROckDog22
reviewed
Jun 27, 2023
| lengths = [0.3, 0.3, 0.4] | ||
| lengths = [length * datasets.__len__() for length in lengths] | ||
| datasets = paddle.io.random_split(dataset, | ||
| lengths, |
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range(30)和dataset转化参数名不一致，容易引起误解，generator也要保持一致
ROckDog22
approved these changes
Jun 28, 2023
zhwesky2010
reviewed
Jun 29, 2023
| | generator | generator | 指定采样 data_source 的采样器。默认值为 None。 | | ||
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| ### 转写示例 | ||
| 当参数 lenghts 为总长度的比例数组时，转写如下: |
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这个按咱们格式来，先表明转写的是哪个：参数
| | PyTorch | PaddlePaddle | 备注 | | ||
| | ------------- | ------------ |---------------------------------------------------------------------| | ||
| | dataset | dataset | 表示可迭代数据集。 | | ||
| | lengths | lengths | PyTorch:总和为原数组长度或 1.0，子集合长度或总长度比例数组。PaddlePaddle: 总和为原数组长度的，子集合长度数组。 | |
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感觉原来的API文档写的不太直白：
可为子集合长度列表，列表总和为原数组长度。也可为子集合所占比例列表，列表总和为1.0
子集合长度列表，列表总和为原数组长度。
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| # Paddle 写法 | ||
| lengths = [0.3, 0.3, 0.4] | ||
| lengths = [length * dataset.__len__() for length in lengths] |
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len(dataset) * i for i in lengths
| lengths = [length * dataset.__len__() for length in lengths] | ||
| datasets = paddle.io.random_split(dataset, | ||
| lengths, | ||
| generator=paddle.fluid.core.default_cpu_generator().manual_seed(0)) |
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可写简单点：generator=paddle.seed(0)
| lengths = [0.3, 0.3, 0.4] | ||
| datasets = torch.utils.data.random_split(dataset, | ||
| lengths, | ||
| generator=torch.Generator().manual_seed(0)) |
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可写简单点：torch.manual_seed(0)
zhwesky2010
reviewed
Jul 5, 2023
| | generator | generator | 指定采样 data_source 的采样器。默认值为 None。 | | ||
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| ### 转写示例 | ||
| lenghts: 子集合长度列表 |
zhwesky2010
approved these changes
Jul 5, 2023
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PaddlePaddle/PaConvert#112
torch版本的lengths参数支持比例方式划分，paddle版本的不支持故修改为参数不一致。