⚡ Bolt: [Optimization] Optimize O(N^2) pop(0) in entropy_utils.py#7719
⚡ Bolt: [Optimization] Optimize O(N^2) pop(0) in entropy_utils.py#7719google-labs-jules[bot] wants to merge 1 commit intodevelopfrom
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…py_utils.py Replaces `list.pop(0)` within nested loops with an O(1) index increment variable `entropy_idx` to iterate over elements sequentially. This improves execution time inside `calculate_logits_entropy` and `speculate_calculate_logits_entropy` from O(N^2) to O(N).
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🤖 Paddle-CI-Agent | pr_review |
2026-05-05 00:36:02
📋 Review 摘要
PR 概述:将 entropy_utils.py 中两处 pop(0) 的 O(N²) 操作替换为索引追踪,消除嵌套循环中的 O(N²) 复杂度,提升 CPU 侧熵值计算性能。
变更范围:fastdeploy/model_executor/entropy_utils.py、.jules/bolt.md
影响面 Tag:[Optimization]
📝 PR 规范检查
标题携带非标准前缀 ⚡ Bolt: ,不符合 [Tag] 描述 的标准格式。PR 描述各节(Motivation / Modifications / Usage or Command / Accuracy Tests / Checklist)结构完整,无需修改。
标题建议(可直接复制):
[Optimization] Optimize O(N^2) pop(0) in entropy_utils.py
问题
| 级别 | 文件 | 概述 |
|---|---|---|
| 🟡 建议 | .jules/bolt.md:1 |
AI 工具产生的 learning notes 文件,不应提交至主仓库 |
总体评价
代码逻辑优化正确,pop(0) 替换为索引追踪在语义上完全等价,性能有所提升。建议移除 .jules/bolt.md 工具产物并修正标题前缀后合入。
| @@ -0,0 +1,3 @@ | |||
| ## 2024-05-04 - Inefficient list.pop(0) operations | |||
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🟡 建议 .jules/bolt.md 是 Jules AI 工具自动生成的 learning notes 产物文件,不属于项目源码范畴,不应提交至主仓库。
建议在 .gitignore 中忽略 .jules/ 目录,或直接删除该文件后重新提交。
CI报告基于以下代码生成(30分钟更新一次): 1 任务总览⏳ CI 运行中:5 个 Required 任务尚未完成,当前 0 个 Required 任务失败,暂无阻塞合并风险。
2 任务状态汇总2.1 Required任务 : 5/10 通过
2.2 可选任务 — 21/25 通过
3 失败详情(仅 required)无 required 失败任务。 |
Motivation
This pull request implements a performance optimization to replace an O(N^2) operation in
fastdeploy/model_executor/entropy_utils.py. The use of.pop(0)inside a loop requires shifting all subsequent elements in a list, resulting in poor execution time for larger array inputs.Modifications
entropy.pop(0)with anentropy_idxvariable for O(1) array access incalculate_logits_entropyandspeculate_calculate_logits_entropyloops.pop(0)on a list is an O(N) operation. Repeated in a nested loop this becomes O(N^2).entropysequentially instead.pytest tests/model_executor/test_entropy_utils.py. The behavior functions identically to before.Usage or Command
Accuracy Tests
No change to model outputs, only variable tracking.
Checklist
pre-commitbefore commit.releasebranch, make sure the PR has been submitted to thedevelopbranch, then cherry-pick it to thereleasebranch with the[Cherry-Pick]PR tag.PR created automatically by Jules for task 4001707810666485455 started by @ZeyuChen