github/ColossalAI
1
0
Fork 0
mirror of https://github.com/hpcaitech/ColossalAI.git synced 2025-09-17 23:18:36 +00:00
Code Issues Packages Projects Releases Wiki Activity

[hotfix] add copyright for solver and device mesh (#2803)

Browse Source 
* [hotfix] add copyright for solver and device mesh

* add readme

* add alpa license

* polish
This commit is contained in:
YuliangLiu0306
2023-02-18 21:14:38 +08:00
committed by GitHub
parent dbd0fd1522
commit 2059fdd6b0
6 changed files with 49 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/source/en/Colossal-Auto/get_started/run_demo.md
View File

@@ -11,7 +11,3 @@ Detailed instructions can be found in its `README.md`.
Colossal-Auto's automatic search function for activation checkpointing finds the most efficient checkpoint within a given memory budget, rather than just aiming for maximum memory compression. To avoid a lengthy search process for an optimal activation checkpoint, Colossal-Auto has implemented a two-stage search process. This allows the system to find a feasible distributed training solution in a reasonable amount of time while still benefiting from activation checkpointing for memory management. The integration of activation checkpointing in Colossal-AI improves the efficiency and effectiveness of large model training. You can follow the [Resnet example](https://github.com/hpcaitech/ColossalAI/tree/main/examples/tutorial/auto_parallel).
Detailed instructions can be found in its `README.md`.
<figure style={{textAlign: "center"}}>
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/auto_parallel/auto_ckpt.jpg"/>
</figure>