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@anyangml anyangml commented Feb 8, 2025

To address polar nan loss mentioned in #4586

Summary by CodeRabbit

  • Refactor
    • Adjusted the internal processing order in computation routines to enhance consistency while maintaining the same overall user experience.
    • Updated model prediction handling to ensure compatibility in shape during statistical computations, reducing potential runtime errors.

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coderabbitai bot commented Feb 8, 2025

📝 Walkthrough

Walkthrough

The pull request modifies the get_loss function in deepmd/pt/train/training.py, adjusting how the loss_params dictionary is handled for the "tensor" loss type. The assignment of label_name now directly uses tensor_name, and the condition for modifying tensor_name when it is "polarizability" has been repositioned after this assignment. Additionally, changes in deepmd/pt/utils/stat.py ensure that model predictions are reshaped to match the merged outputs in the compute_output_stats_global and compute_output_stats_atomic functions.

Changes

File Change Summary
deepmd/pt/.../training.py Reordered the assignment of label_name in the loss_params dictionary within the get_loss function.
deepmd/pt/.../stat.py Updated compute_output_stats_global and compute_output_stats_atomic to reshape model_pred for compatible subtraction with merged_output.

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  • njzjz
  • wanghan-iapcm

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  • deepmd/pt/utils/stat.py (1 hunks)
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🔇 Additional comments (2)
deepmd/pt/utils/stat.py (2)

479-483: LGTM! The reshaping ensures correct shape compatibility.

The modification correctly ensures that model predictions are reshaped to match the shape of merged outputs before subtraction, preventing potential shape mismatch errors.


591-595: LGTM! The reshaping ensures correct shape compatibility.

The modification correctly ensures that model predictions are reshaped to match the shape of merged outputs before subtraction, preventing potential shape mismatch errors.

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@github-actions github-actions bot added the Python label Feb 8, 2025
@anyangml anyangml linked an issue Feb 8, 2025 that may be closed by this pull request
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codecov bot commented Feb 8, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 84.60%. Comparing base (f01fa53) to head (b33e361).
Report is 66 commits behind head on devel.

Additional details and impacted files
@@            Coverage Diff             @@
##            devel    #4587      +/-   ##
==========================================
- Coverage   84.60%   84.60%   -0.01%     
==========================================
  Files         680      680              
  Lines       64473    64481       +8     
  Branches     3540     3539       -1     
==========================================
+ Hits        54546    54551       +5     
- Misses       8786     8789       +3     
  Partials     1141     1141              

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@anyangml anyangml added this pull request to the merge queue Feb 8, 2025
@Yi-FanLi
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Yi-FanLi commented Feb 8, 2025

I tested this PR and it fixes the nan issue. Thanks a lot! @anyangml

Merged via the queue into deepmodeling:devel with commit 65facbb Feb 8, 2025
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@anyangml anyangml deleted the fix/pt-tensor-loss-label-name branch February 8, 2025 14:20
@njzjz njzjz added this to the v3.0.2 milestone Feb 9, 2025
njzjz pushed a commit to njzjz/deepmd-kit that referenced this pull request Feb 9, 2025
To address polar nan loss mentioned in deepmodeling#4586

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

- **Refactor**
- Adjusted the internal processing order in computation routines to
enhance consistency while maintaining the same overall user experience.
- Updated model prediction handling to ensure compatibility in shape
during statistical computations, reducing potential runtime errors.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
(cherry picked from commit 65facbb)
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[BUG] polar model with pt backend raises error

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