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@njzjz njzjz commented Aug 4, 2025

get_xp_precision is more general and has more precisions (including bfloat16).

Summary by CodeRabbit

  • Refactor
    • Improved internal handling of precision settings for numerical operations, streamlining how precision is determined. No changes to user-facing functionality.

Copilot AI review requested due to automatic review settings August 4, 2025 13:57
@github-actions github-actions bot added the Python label Aug 4, 2025
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Pull Request Overview

This PR consolidates precision handling by replacing the get_np_precision function's implementation with a call to the more general get_xp_precision function, which supports additional precision types.

  • Removes direct import of GLOBAL_NP_FLOAT_PRECISION constant
  • Replaces manual precision mapping logic with delegation to get_xp_precision

@njzjz njzjz changed the title chore: merge get_np_precision to get_xp_precision fix: merge get_np_precision to get_xp_precision Aug 4, 2025
Comment on lines +249 to +251
from deepmd.dpmodel.common import (
get_xp_precision,
)

Check notice

Code scanning / CodeQL

Cyclic import Note

Import of module
deepmd.dpmodel.common
begins an import cycle.
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CodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review.

📝 Walkthrough

Walkthrough

The get_np_precision function in deepmd/common.py was refactored to delegate precision resolution to the get_xp_precision function imported from deepmd.dpmodel.common. The previous inline precision mapping and error handling logic were removed, and the symbol GLOBAL_NP_FLOAT_PRECISION was added to the module's __all__ export list.

Changes

Cohort / File(s) Change Summary
Precision Handling Refactor
deepmd/common.py
Added GLOBAL_NP_FLOAT_PRECISION to __all__. Refactored get_np_precision to delegate precision resolution to get_xp_precision from deepmd.dpmodel.common, removing inline mapping and error handling.

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🎯 1 (Trivial) | ⏱️ ~3 minutes

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njzjz and others added 2 commits August 5, 2025 14:41
Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
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codecov bot commented Aug 5, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.71%. Comparing base (cec1944) to head (d8dfdfc).
⚠️ Report is 77 commits behind head on devel.

Additional details and impacted files
@@           Coverage Diff           @@
##            devel    #4867   +/-   ##
=======================================
  Coverage   84.71%   84.71%           
=======================================
  Files         699      699           
  Lines       68135    68126    -9     
  Branches     3542     3541    -1     
=======================================
- Hits        57721    57716    -5     
+ Misses       9279     9275    -4     
  Partials     1135     1135           

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@njzjz njzjz added this pull request to the merge queue Aug 5, 2025
Merged via the queue into deepmodeling:devel with commit 1fbe4c1 Aug 5, 2025
60 checks passed
@njzjz njzjz deleted the merge-get-np-precision branch August 5, 2025 10:37
ChiahsinChu pushed a commit to ChiahsinChu/deepmd-kit that referenced this pull request Dec 17, 2025
`get_xp_precision` is more general and has more precisions (including
bfloat16).

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

* **Refactor**
* Improved internal handling of precision settings for numerical
operations, streamlining how precision is determined. No changes to
user-facing functionality.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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