Closed lynex closed 2 years ago
代码实例换为下面格式
code
,方便各章统一格式
汉化这个表格
chapter 6.5 还需要统一格式
Google Pathway and MOE distributed training have new pattern? like Dynamic/ Sparse activation? 如果有新pattern是否需要加入到pipeline并行后做趋势对比和展望?
好像缺少一块内容,task placement? (可以融合进算法对比或者框架或者新开section)例如在模型和pipeple并行里,这块有个优化问题,记得有google paper提过优化,以及有paper auto tuning这个过程。
Hello 山哥,我们先merge一版再开新PR否?
Please merge this to avoid long pending, please solve the conflict and solve the format issues.
Please refine in next PR
Please add the related 2 labs in course to this chapter (add description text and link to lab folder) as experiment, template could follow chapter 7 and 8. This will boost the in action experience and book's system style.
https://github.com/microsoft/AI-System/tree/main/Labs/BasicLabs/Lab4
https://github.com/microsoft/AI-System/tree/main/Labs/AdvancedLabs/Lab7
Refer: https://github.com/microsoft/AI-System/blob/main/Textbook/%E7%AC%AC8%E7%AB%A0-%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E6%8E%A8%E7%90%86%E7%B3%BB%E7%BB%9F/8.4-%E9%83%A8%E7%BD%B2.md#846-%E6%8E%A8%E7%90%86%E7%B3%BB%E7%BB%9F%E9%83%A8%E7%BD%B2%E4%B8%8E%E5%8E%8B%E6%B5%8B%E5%AE%9E%E9%AA%8C%E7%BB%83%E4%B9%A0