[WeeklyReport] fxfxfxfxfxfxfxfx 2024.08.12.~2024.08.25 #354
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| ### 姓名 | ||
| 冯潇 | ||
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| ### 实习项目 | ||
| 动静统一自动并行支持MoE专家并行策略 | ||
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| ### 本周工作 | ||
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| 1. 构建了一个等效qwen2moe SparseMoEBlock的模型 | ||
| 2. 将该模型改成自动并行版本并且验证其与单节点结果的一致性 | ||
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| * 相关pr: https://github.com/PaddlePaddle/Paddle/pull/67594 | ||
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| ### 下周工作 | ||
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| 1. 将qwen2moe SparseMoEBlock改成自动并行版本 | ||
| 2. 编写单元测试 | ||
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| ### 导师点评 | ||
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| ### 姓名 | ||
| 冯潇 | ||
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| ### 实习项目 | ||
| 动静统一自动并行支持MoE专家并行策略 | ||
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| ### 本周工作 | ||
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| 1. 阅读论文 GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding，深入了解moe并行的实现 | ||
| 2. 阅读deepspeed关于moe的代码 | ||
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| ### 下周工作 | ||
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| 1. 将qwen2moe SparseMoEBlock改成自动并行版本，尽量少改动原本的代码，最大化利用自动并行相关api的功能。 | ||
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| ### 导师点评 | ||
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尽量在不改动源代码逻辑下实现自动并行版本