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[Feat] Add Visual Prompt Tuning #1769

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[Feat] Add Visual Prompt Tuning #1769

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Ezra-Yu
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@Ezra-Yu Ezra-Yu commented Aug 17, 2023

Motivation

Visual Prompt Tuning

Checklist

Before PR:

  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
  • The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg.
  • CLA has been signed and all committers have signed the CLA in this PR.

@Ezra-Yu Ezra-Yu changed the base branch from main to dev August 17, 2023 11:15
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codecov bot commented Aug 17, 2023

Codecov Report

Patch coverage: 70.27% and project coverage change: -3.33% ⚠️

Comparison is base (f9dcae2) 68.16% compared to head (12aa135) 64.84%.
Report is 78 commits behind head on dev.

❗ Current head 12aa135 differs from pull request most recent head 5ba8782. Consider uploading reports for the commit 5ba8782 to get more accurate results

Additional details and impacted files
@@            Coverage Diff             @@
##              dev    #1769      +/-   ##
==========================================
- Coverage   68.16%   64.84%   -3.33%     
==========================================
  Files         295      363      +68     
  Lines       23372    26342    +2970     
  Branches     3713     4203     +490     
==========================================
+ Hits        15932    17082    +1150     
- Misses       6880     8639    +1759     
- Partials      560      621      +61     
Flag Coverage Δ
unittests 64.84% <70.27%> (-3.33%) ⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files Changed Coverage Δ
configs/_base_/datasets/imagenet_bs128_mbv3.py 100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs32.py 100.00% <ø> (ø)
...onfigs/_base_/datasets/imagenet_bs32_pil_resize.py 100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs64_swin_224.py 100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs64_swin_384.py 100.00% <ø> (ø)
mmpretrain/apis/feature_extractor.py 37.50% <0.00%> (ø)
mmpretrain/apis/image_caption.py 30.64% <0.00%> (ø)
mmpretrain/apis/image_retrieval.py 21.42% <0.00%> (ø)
mmpretrain/apis/visual_grounding.py 27.53% <0.00%> (ø)
mmpretrain/apis/visual_question_answering.py 25.67% <0.00%> (ø)
... and 7 more

... and 97 files with indirect coverage changes

☔ View full report in Codecov by Sentry.
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