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[WeeklyReport] Xuxuanang 2024.10.08~2024.10.25 #408
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WeeklyReports/Hackathon_7th/11_Xuxuanang/2024.10.08~2024.10.25.md
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| ### 姓名 | ||
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| 许轩昂 | ||
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| ### 本周工作 | ||
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| 1. 完成对torch.Tensor.addcmul_,torch.autograd.Variable等存量文档的对齐问题,并提交了PR。且已经成功合入主分支。 | ||
| 2. 修改fairscale.nn.model_parallel.layers.ParallelEmbedding，torch.Tensor.histogram等算子的映射关系，使其与映射文档对齐。 | ||
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| 相关PR: | ||
| - https://github.com/PaddlePaddle/PaConvert/pull/483 | ||
| - https://github.com/PaddlePaddle/PaConvert/pull/492 | ||
| - https://github.com/PaddlePaddle/docs/pull/6900 | ||
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| 3. 优化torch.Tensor.get_device，torch.cuda.BoolTensor等约30余个api算子的GPU单测写法，目前所有只能在GPU上运行的单测已经全部采用装饰器写法。 | ||
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| 相关PR: | ||
| - https://github.com/PaddlePaddle/PaConvert/pull/494 | ||
| - https://github.com/PaddlePaddle/PaConvert/pull/497 | ||
| ### 下周工作 | ||
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| 1. 继续完成文档不对齐以及bug修复等相关工作 | ||
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| ### 导师点评 | ||
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许轩昂同学近期完成了部分API的对齐工作，要进一步把握 Matcher-文档-单测 对齐工作的目标和工作方法，学习如何自主排查对不齐问题，力图消灭减少每一个对不齐问题，避免对不齐问题越写越多。做好该项目需要相当的细心和耐心，期望能将项目完美收尾。