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fix: use cosine as the rank score #708

Merged
merged 7 commits into from
May 9, 2022
Merged

fix: use cosine as the rank score #708

merged 7 commits into from
May 9, 2022

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@numb3r3 numb3r3 commented May 5, 2022

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codecov bot commented May 5, 2022 •
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Codecov Report

Merging #708 (5bdfb2d) into main (f66b145) will increase coverage by 0.20%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main     #708      +/-   ##
==========================================
+ Coverage   81.03%   81.24%   +0.20%     
==========================================
  Files          16       16              
  Lines        1176     1189      +13     
==========================================
+ Hits          953      966      +13     
  Misses        223      223
Flag Coverage 螖
cas 81.24% <100.00%> (+0.20%) 猬嗭笍

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

Impacted Files Coverage 螖
client/clip_client/__init__.py 100.00% <100.00%> (酶)
server/clip_server/__init__.py 100.00% <100.00%> (酶)
server/clip_server/executors/clip_onnx.py 86.51% <100.00%> (-0.30%) 猬囷笍
server/clip_server/executors/clip_torch.py 88.09% <100.00%> (+1.08%) 猬嗭笍
server/clip_server/executors/clip_trt.py 95.89% <100.00%> (+0.11%) 猬嗭笍
server/clip_server/executors/helper.py 97.29% <100.00%> (+0.52%) 猬嗭笍

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@numb3r3 numb3r3 requested a review from hanxiao May 5, 2022 02:44
hanxiao
hanxiao requested changes May 5, 2022
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wait official implementation says differently

hanxiao
hanxiao reviewed May 7, 2022
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tests/test_ranker.py Outdated Show resolved Hide resolved
@numb3r3 numb3r3 requested a review from hanxiao May 8, 2022 09:00
@numb3r3 numb3r3 merged commit 835eb13 into main May 9, 2022
@numb3r3 numb3r3 deleted the fix-logits branch May 9, 2022 02:08
diegofiori pushed a commit to diegofiori/clip-as-service that referenced this pull request May 12, 2022
@numb3r3
fix: use cosine as the rank score (jina-ai#708)
7014fb4 
* fix: use cosine as the rank score

* fix: return cosine or probls as rank score

* fix: add logit scale

* fix: unittest

* fix: use softmax as para name

* fix: return both softmax and cosine

* fix: numpy softmax
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