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tf: add fparam/aparam support for finetune #3313

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@njzjz njzjz commented Feb 20, 2024

Fix #3256.

@njzjz njzjz requested a review from iProzd February 20, 2024 23:47
@njzjz njzjz linked an issue Feb 20, 2024 that may be closed by this pull request
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codecov bot commented Feb 20, 2024

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (4b994df) 75.10% compared to head (028edb7) 75.10%.

Files Patch % Lines
deepmd/tf/fit/ener.py 71.42% 2 Missing ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #3313      +/-   ##
==========================================
- Coverage   75.10%   75.10%   -0.01%     
==========================================
  Files         398      398              
  Lines       34010    34016       +6     
  Branches     1604     1604              
==========================================
+ Hits        25544    25548       +4     
- Misses       7605     7607       +2     
  Partials      861      861              

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@wanghan-iapcm wanghan-iapcm added this pull request to the merge queue Feb 21, 2024
Merged via the queue into deepmodeling:devel with commit d629616 Feb 21, 2024
48 checks passed
@njzjz njzjz mentioned this pull request Apr 2, 2024
@njzjz njzjz added this to the v2.2.10 milestone Apr 6, 2024
njzjz added a commit to njzjz/deepmd-kit that referenced this pull request Apr 6, 2024
@njzjz njzjz mentioned this pull request Apr 6, 2024
njzjz added a commit that referenced this pull request Apr 6, 2024
Fix #3256.

Signed-off-by: Jinzhe Zeng <[email protected]>
(cherry picked from commit d629616)
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[BUG] finetune with fparam/aparam
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