[Fix] Fix the bug that vit cannot load pretrain properly when using i… #999
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…nit_cfg to specify the pretrain scheme
Codecov Report
@@ Coverage Diff @@
## master #999 +/- ##
==========================================
+ Coverage 89.70% 89.76% +0.06%
==========================================
Files 119 119
Lines 6603 6605 +2
Branches 1028 1029 +1
==========================================
+ Hits 5923 5929 +6
+ Misses 477 475 -2
+ Partials 203 201 -2
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Junjun2016
reviewed
Oct 27, 2021
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
Junjun2016
reviewed
Nov 3, 2021
Junjun2016
reviewed
Nov 3, 2021
Junjun2016
reviewed
Nov 3, 2021
Junjun2016
approved these changes
Nov 3, 2021
Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
bowenroom
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Feb 25, 2022
open-mmlab#999) * [Fix] Fix the bug that vit cannot load pretrain properly when using init_cfg to specify the pretrain scheme * [Fix] fix the coverage problem * Update mmseg/models/backbones/vit.py Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * [Fix] make the predicate more concise and clearer * [Fix] Modified the judgement logic * Update tests/test_models/test_backbones/test_vit.py Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * add comments Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
aravind-h-v
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Mar 27, 2023
* [Flax] Add finetune Stable Diffusion * temporary fix * drop_last and seed * add dtype for mixed precision training * style * Add Flax example
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Motivation
Fix the bug that vit cannot load pretrain properly when using init_cfg to specify the pretrain scheme
Modification
Fix the bug that vit cannot load pretrain properly when using init_cfg to specify the pretrain scheme