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[Enhancement] Support deepspeed with flexible runner #1673
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configs/mae/benchmarks/vit-huge-p14_8xb128-coslr-50e_in1k_deepspeed-zero3.py
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configs/mae/benchmarks/vit-large-p16_8xb128-coslr-50e_in1k_deepspeed-zero3.py
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configs/mae/benchmarks/vit-huge-p14_8xb128-ds-zero3-coslr-50e_in1k.py
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configs/mae/benchmarks/vit-large-p16_8xb128-ds-zero3-coslr-50e_in1k.py
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Hi @fanqiNO1, We'd like to express our appreciation for your valuable contributions to the mmpretrain. Your efforts have significantly aided in enhancing the project's quality. If you're on WeChat, we'd also love for you to join our community there. Just add our assistant using the WeChat ID: openmmlabwx. When sending the friend request, remember to include the remark "mmsig + Github ID". Thanks again for your awesome contribution, and we're excited to have you as part of our community! |
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
Motivation
Please describe the motivation of this PR and the goal you want to achieve through this PR.
Modification
Deepspeed is supported with flexible runner during the training of vit-large and vit-huge.
The performance of vit-large trained with deepspeed is: accuracy/top1: 85.5760 accuracy/top5: 97.4800
BC-breaking (Optional)
Does the modification introduce changes that break the backward compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
Use cases (Optional)
If this PR introduces a new feature, it is better to list some use cases here and update the documentation.
Checklist
Before PR:
After PR: