⚡ Bolt: alpha 그래디언트 계산 최적화를 통한 중간 배열 메모리 할당 방지 - #189
Conversation
- `grad_alpha` 계산 시 발생하는 거대한 NxJ 2D 중간 배열 할당 문제를 해결했습니다. - NumPy 브로드캐스팅 및 행별 원소 곱연산 이후에 축 합계를 계산하던 방식을, BLAS를 활용한 행렬 곱셈 `(e.T @ params.theta)`과 인덱싱으로 대체했습니다. - 테스트 및 메모를 `.jules/bolt.md`에 추가했습니다.
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Pull request overview
OpenCode cannot approve yet because required coverage evidence did not pass.
Review outcome
1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
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Problem: The required coverage-evidence job result was
failure, so OpenCode cannot establish approval sufficiency for this head. -
Root cause: Automated approval is only valid when the same-head coverage-evidence job proves supported repository test suites passed and configured docstring gates passed or were advisory, or reports not applicable because no supported source files or package manifests exist. Missing, failed, skipped, unavailable, or unsupported-tooling test evidence is a blocker.
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Fix: Install or configure the repository test/docstring evidence tooling when source files or package manifests exist, rerun the current-head coverage-evidence job, and approve only after it reports
successwith required evidence or explicit no-source not-applicable evidence. -
Regression test: Keep the approval branch checking
needs.coverage-evidence.result == successbefore posting APPROVE, and publish REQUEST_CHANGES when coverage-evidence blocker states such as cancelled, skipped, failed, unsupported-tooling, or below-100 evidence are present. -
Result: REQUEST_CHANGES
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Reason: coverage-evidence result was
failure, so required test/docstring evidence was not proven for current head2d7f4f73eef22fa0e56e3b3c334979edebdd5887. -
Head SHA:
2d7f4f73eef22fa0e56e3b3c334979edebdd5887 -
Workflow run: 29687701553
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Workflow attempt: 1
Coverage evidence
Coverage Decision
- Result: FAIL
- Test evidence: not proven passing
- Docstring evidence: not proven passing when configured
- Failure count: 1
Changed-File Evidence Map
flowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test: test_objective.py"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test: test_objective.py"]
R2 --> V2["targeted test run"]
OpenCode Review Overview
Pull request overviewOpenCode cannot approve yet because required coverage evidence did not pass. Review outcome1. HIGH .github/workflows/opencode-review.yml:1 - Coverage evidence did not prove required test/docstring evidence
Coverage evidenceCoverage Decision
Changed-File Evidence Mapflowchart LR
PR["PR changed files"] --> Evidence["OpenCode bounded evidence"]
Evidence --> S1["Changed file (2 files)"]
S1 --> I1["repository behavior"]
I1 --> R1["Review risk: Changed file (2 files)"]
R1 --> V1["required checks"]
Evidence --> S2["Test: test_objective.py"]
S2 --> I2["regression suite"]
I2 --> R2["Review risk: Test: test_objective.py"]
R2 --> V2["targeted test run"]
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중복 정리: 배경: 2026-07-14 이후 조직 coverage-evidence 인프라 문제로 모든 PR이 REQUEST_CHANGES 상태였습니다(인프라 수정: ContextualWisdomLab/.github#611). 필요 시 재오픈 가능합니다. Generated by Claude Code |
Understood. Acknowledging that this work is now obsolete and stopping work on this task. |
1 participant
💡 What
fast_mlsirm/objective.py내grad_alpha계산 로직에서 발생하는 거대한 중간 배열(NxJ) 할당을 BLAS 행렬 곱셈(@) 및 고급 인덱싱으로 교체했습니다.🎯 Why
기존의
(e * params.theta[:, factors]).sum(axis=0)방식은 각 행렬 성분 간의 곱셈을 수행하기 위해 거대한 2D 배열(메모리 오버헤드: $O(N \times J)$)을 임시로 메모리에 할당했습니다. 대규모 데이터 처리 시 이는 병목현상(메모리 사용량 증가 및 속도 저하)의 원인이 됩니다.📊 Impact
🔬 Measurement
N=10000,J=100,D=5등 대형 배열 환경에서 기존 로직과 최적화 로직을 각각 1000회 수행하여time.perf_counter()로 측정 시 확연한 차이를 검증할 수 있으며,pytest tests/test_objective.py를 통해 모든 수학적 계산값이 기존과 100% 동일함을 보장합니다.PR created automatically by Jules for task 17447692984781771628 started by @seonghobae