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Update of DeepTauID to ver. 2017v2 (backport to 10_2_X) #27148
Update of DeepTauID to ver. 2017v2 (backport to 10_2_X) #27148
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The tests are being triggered in jenkins. |
Comparison job queued. |
In the (previous version of the) tests there was a failing comparison for the HLT DQM histo hltEle15Ele8CaloIdLTrackIdLIsoVLEtLeg1Filter_gsfEle_passFilter_HLTphi_eb for wf 136.85 RunEGamma2018A, see #27148 (comment): this looks completely un-related to me, still maybe worth being looked at by DQM in order to understand the reason for such a non-reproducibility (attn @andrius-k, @kmaeshima, @schneiml, @jfernan2, @fioriNTU) Let see if it reproduces in the tests currently ongoing... |
Comparison is ready Comparison Summary:
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@perrotta I guess you mean this: Looking at the code changes and since there are no additional commits on top of the comparison, the change is tiny but clearly un-related... I don't have an explanation, number of entries are the same... where is the missing entry? Overflow or underflow? |
Yes, I don't expect that such a change in the DQM plot has anything to do with this PR, I only pointed it to you in case you want to inspect it. |
+1
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+1 |
This pull request is fully signed and it will be integrated in one of the next CMSSW_10_2_X IBs (tests are also fine) and once validation in the development release cycle CMSSW_11_0_X is complete. This pull request will now be reviewed by the release team before it's merged. @davidlange6, @slava77, @smuzaffar, @fabiocos (and backports should be raised in the release meeting by the corresponding L2) |
+1 |
PR description:
This PR updates DeepTauID to version 2017v2. The new version, thanks to revised structure of used DNN, fixes issues of version 2017v1 that is a size of training files and memory consumption are greatly reduced. Possibility to run previous version is maintained.
This is backport of #26796 to 10_2_X without DeepTauID in the standard MiniAOD workflow.
Details on DeepTauID performance in the original PR
Note: This PR requires datafiles from cms-data/RecoTauTag-TrainingFiles#3 although it is not necessary for official workflows and standard tests.
PR validation:
As the PR does not include anything to official workflows it was validated with a simple standalone test using
RecoTauTag/RecoTau/test/runDeepTauIDsOnMiniAOD.py
which requires datafiles in cms-data/RecoTauTag-TrainingFiles#3. Unit-tests should not show any differences.if this PR is a backport please specify the original PR:
This is backport of #26796 to 10_2_X (prepared on top of 10_2_15)