[Feature] Support using checkpoint in Swin Transformer to save memory. #557
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@@ Coverage Diff @@
## master #557 +/- ##
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+ Coverage 79.92% 79.94% +0.02%
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Files 107 107
Lines 6102 6109 +7
Branches 989 1041 +52
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+ Hits 4877 4884 +7
Misses 1093 1093
Partials 132 132
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mzr1996
requested changes
Nov 26, 2021
| @@ -36,6 +37,9 @@ class SwinBlock(BaseModule): | |||
| Defaults to empty dict. | |||
| norm_cfg (dict, optional): The config of norm layers. | |||
| Defaults to dict(type='LN'). | |||
| with_cp (bool, optional): Use checkpoint or not. Using checkpoint | |||
| will save some memory while slowing down the training speed. | |||
| Default: False. | |||
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Please use Defaults to False to keep the same with other docstrings.
mzr1996
approved these changes
Nov 29, 2021
mzr1996
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Nov 24, 2022
open-mmlab#557) * add checkpoint in swin backbone * add checkpoint in swin backbone
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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
For larger batch size training in swin transformer.
Modification
Added checkpointing in swin transformer.
Checklist
Before PR:
After PR: