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fix(jax): fix repflows JIT issues#4775

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iProzd merged 1 commit intodeepmodeling:develfrom
njzjz:fix-jax-repflows-jit
May 30, 2025
Merged

fix(jax): fix repflows JIT issues#4775
iProzd merged 1 commit intodeepmodeling:develfrom
njzjz:fix-jax-repflows-jit

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@njzjz njzjz commented May 28, 2025

Summary by CodeRabbit

  • Bug Fixes
    • Improved compatibility with just-in-time (JIT) compilation in certain scenarios, preventing potential errors during execution. End-user functionality remains unchanged.

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@ustc.edu.cn>
@njzjz njzjz requested review from Copilot and iProzd May 28, 2025 17:31
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Pull Request Overview

The PR addresses JIT incompatibility in repflows by guarding the Python int() conversion behind a dynamic selection flag.

  • Guard int() call with self.use_dynamic_sel to avoid JIT errors when static.
  • Default n_edge to 0 when dynamic selection is disabled.
Comments suppressed due to low confidence (1)

deepmd/dpmodel/descriptor/repflows.py:1329

  • Using Python int(...) inside JIT can break tracing. To maintain JIT compatibility and consistent array types, prefer using .item() on the xp scalar. For example:
n_edge = xp.sum(xp.astype(nlist_mask, xp.int32)).item() if self.use_dynamic_sel else xp.array(0, dtype=xp.int32)
n_edge = (int(xp.sum(xp.astype(nlist_mask, xp.int32))) if self.use_dynamic_sel else 0)

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coderabbitai bot commented May 28, 2025

📝 Walkthrough

Walkthrough

The call method in the RepFlowLayer class was updated to conditionally compute the n_edge variable based on the use_dynamic_sel attribute. Now, n_edge is only calculated when use_dynamic_sel is True; otherwise, it is set to zero, addressing compatibility with just-in-time (JIT) compilation.

Changes

File Change Summary
deepmd/dpmodel/descriptor/repflows.py Modified RepFlowLayer.call to conditionally compute n_edge based on use_dynamic_sel.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant RepFlowLayer
    User->>RepFlowLayer: call(...)
    alt use_dynamic_sel is True
        RepFlowLayer->>RepFlowLayer: n_edge = int(nlist_mask.sum())
    else use_dynamic_sel is False
        RepFlowLayer->>RepFlowLayer: n_edge = 0
    end
    RepFlowLayer-->>User: result
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  • deepmd/dpmodel/descriptor/repflows.py (1 hunks)
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🔇 Additional comments (1)
deepmd/dpmodel/descriptor/repflows.py (1)

1327-1330: LGTM! Good fix for JIT compatibility.

This change correctly addresses the JIT compilation issue by conditionally computing n_edge only when needed. The logic is sound because:

  1. When use_dynamic_sel is True, n_edge is used for assertions (line 1336) and as num_owner parameter (line 1668)
  2. When use_dynamic_sel is False, n_edge is never used in the subsequent logic, so setting it to 0 avoids the problematic int() conversion
  3. The comment clearly explains the rationale for this change

The fix maintains correctness while resolving the JIT compilation limitation.

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codecov bot commented May 28, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 84.79%. Comparing base (d74e6b5) to head (94835cd).
⚠️ Report is 89 commits behind head on devel.

Additional details and impacted files
@@           Coverage Diff           @@
##            devel    #4775   +/-   ##
=======================================
  Coverage   84.79%   84.79%           
=======================================
  Files         698      698           
  Lines       67746    67746           
  Branches     3540     3540           
=======================================
+ Hits        57444    57445    +1     
  Misses       9171     9171           
+ Partials     1131     1130    -1     

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@iProzd iProzd added this pull request to the merge queue May 30, 2025
Merged via the queue into deepmodeling:devel with commit 2018d62 May 30, 2025
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