⚡ Bolt: [성능 개선] 넘파이 차원 브로드캐스트 최적화 및 C 구현 함수 적용#78
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💡 내용: `np.sqrt(np.sum((a[:, None, :] - b[None, :, :]) ** 2, axis=2))` 와 같은 3차원 브로드캐스팅 연산을 `np.dot` 와 `np.einsum` 을 이용한 2차원 연산으로 변경했습니다. 또한 `np.maximum(x, 0.0) + np.log1p(np.exp(-np.abs(x)))` 과 같은 여러 중간 배열을 생성하는 함수를 최적화된 C 레벨 함수인 `np.logaddexp(0.0, x)` 로 변경했습니다. 🎯 목적: 차원이 커짐에 따라 급증하는 메모리 사용량을 줄이고 중간 연산 결과를 메모리에 올림으로 인한 성능 저하를 방지하기 위함입니다. 📊 영향: 유클리드 거리 측정 시 $O(N \times J \times D)$ 의 메모리 복잡도를 $O(N \times J)$ 로 감소시켜 연산 시간 및 메모리 압박이 큰 폭으로 완화되었습니다. softplus 함수 호출 시 매번 생기는 4번 이상의 배열 할당을 없앴습니다. 🔬 검증: 로컬 환경 내 Pytest 통과 및 Benchmark 스크립트를 통한 시간 측정을 완료하였습니다.
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OpenCode Review Overview
Pull request overviewOpenCode reviewed the current-head bounded evidence and found no blocking issues. FindingsNo blocking findings. SummaryApproval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (4 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (4 files)"]
R1 --> V1["required checks"]
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Pull request overview
OpenCode reviewed the current-head bounded evidence and found no blocking issues.
Findings
No blocking findings.
Summary
Approval sufficiency: bounded evidence supplied affirmative approval evidence for changed files, coverage/docstring posture, risk surfaces, and current-head verification; approval is not based merely on the absence of known blockers.
Verification posture: CodeGraph evidence was initialized and bounded current-head evidence reviewed for changed-file evidence including .jules/bolt.md, python/fast_mlsirm/diagnostics.py, python/fast_mlsirm/math.py, python/fast_mlsirm/simulation.py.
Linter/static: workflow/static review evidence is bounded by the current-head GitHub Checks gate and changed-file evidence.
TDD/regression: coverage execution evidence and focused changed hunks were reviewed from bounded-review-evidence.md.
Coverage: coverage execution evidence reports supported repository test suites passed.
Docstring coverage: coverage execution evidence reports configured repository docstring gates passed or docstring coverage was advisory.
DAG: CodeGraph/source-backed behavior map connects .jules/bolt.md to the affected review, runtime, or workflow path and required checks.
PoC/execution: coverage-evidence job executed on the current head and reported PASS.
DDD/domain: workflow and repository-governance invariants were reviewed against changed files in bounded evidence.
CDD/context: CodeGraph evidence, changed-file history, and focused hunks were reviewed from bounded-review-evidence.md.
Similar issues: changed-file history evidence was reviewed for comparable local precedents.
Claim/concept check: bounded evidence, repository source, current-head workflow evidence, and, where numeric, scientific, statistical, or literature-backed claims are affected, original-paper/formula evidence and parameter-recovery expectations were used for claims.
Standards search: standards and external-source checks are delegated to configured OpenCode web_search/Context7/DeepWiki sources when applicable; no evidence-backed standards blocker is present in bounded evidence.
Compatibility/convention: changed workflow/script conventions, object naming, and reserved-word safety for schema/API/config/code surfaces were checked in bounded evidence.
Breaking-change/backcompat: deployment evidence and changed-file history were checked for backward-compatibility risk.
Performance: changed surfaces were checked for performance risk in bounded evidence.
Developer experience: changed automation, review, test, setup, and maintenance surfaces were checked for helpful or obstructive DX impact in bounded evidence.
User experience: connected user, operator, API, CLI, documentation, review-comment, status-check, rendering, and workflow-reader behavior was checked for contradictions against code, docs, and tests in bounded evidence.
Visual/DOM: Playwright visual, DOM locator, ARIA snapshot, console, and responsive evidence were checked when a web UI surface was present; for non-web surfaces, API/CLI/log/docs/workflow interaction evidence was reviewed instead.
Accessibility/i18n: accessibility, localization, and human-readable text surfaces were checked where UI, CLI, API message, docs, logs, or review text changed.
Supply-chain/license: dependency, package, model, container, and external-tool changes were checked in bounded evidence.
Packaging: package, build, test, lint, and security contracts were checked in bounded evidence.
Security/privacy: workflow-token, review-gate, and repository-automation security/privacy boundaries were checked in bounded evidence.
- Result: APPROVE
- Reason: Performance optimizations are well-tested and improve efficiency without regressions.
- Head SHA:
1e3765710d9172ffc59a53f5cfdc97190dd8444f - Workflow run: 28645281349
- Workflow attempt: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (4 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (4 files)"]
R1 --> V1["required checks"]
1 participant
💡 내용:$O(N \times J \times D)$ 의 메모리 복잡도를 $O(N \times J)$ 로 감소시켜 연산 시간 및 메모리 압박이 큰 폭으로 완화되었습니다. softplus 함수 호출 시 매번 생기는 4번 이상의 배열 할당을 없앴습니다.
np.sqrt(np.sum((a[:, None, :] - b[None, :, :]) ** 2, axis=2))와 같은 3차원 브로드캐스팅 연산을np.dot와np.einsum을 이용한 2차원 연산으로 변경했습니다. 또한np.maximum(x, 0.0) + np.log1p(np.exp(-np.abs(x)))과 같은 여러 중간 배열을 생성하는 함수를 최적화된 C 레벨 함수인np.logaddexp(0.0, x)로 변경했습니다.🎯 목적: 차원이 커짐에 따라 급증하는 메모리 사용량을 줄이고 중간 연산 결과를 메모리에 올림으로 인한 성능 저하를 방지하기 위함입니다.
📊 영향: 유클리드 거리 측정 시
🔬 검증: 로컬 환경 내 Pytest 통과 및 Benchmark 스크립트를 통한 시간 측정을 완료하였습니다.
PR created automatically by Jules for task 16129728831720264803 started by @seonghobae