mcore-cicd

작성자: nvidia

Megatron-LM을 위한 CI/CD 참조 자료입니다. CI 파이프라인 구조, PR 범위 레이블, 내부 GitLab CI 트리거(현재 브랜치를 강제 푸시하여...)를 다룹니다.

npx skills add https://github.com/nvidia/megatron-lm --skill mcore-cicd

CI/CD Guide


Answer-First CI Facts

For PR-label or trigger questions, lead with the exact values:

  • No label: scope=mr-github-slim, n_repeat=5, lightweight=false.
  • Run tests: scope=mr-github, n_repeat=1, lightweight=true.
  • Run functional tests: scope=mr-github, n_repeat=5, lightweight=false.
  • container::lts only switches the container image path to LTS and combines with any scope label. Opt-in only — attach it solely when the user explicitly asks for LTS validation; never add it on your own initiative, even for a container or dependency change.
  • Run MBridge tests additionally triggers the MBridge L1 suite.
  • Run NeMoRL tests additionally triggers NeMo RL's Megatron functional test suite.
  • ⚠️ WARNING — destructive remote write. tools/trigger_internal_ci.py force-pushes the current branch to the internal GitLab remote as pull-request/<branch>. Always run with --dry-run first and confirm the destination ref before invoking it without the flag. Never run against a shared or protected branch — only target your own pull-request branch. Safe preflight: python tools/trigger_internal_ci.py --gitlab-origin gitlab --dry-run. Add the optional --functional-test-* flags only after the dry-run output matches the intended destination.

CI Pipeline Structure

The main workflow is .github/workflows/cicd-main.yml. It triggers on pushes to branches matching pull-request/[0-9]+ and deploy-release/*, on merge groups, on a daily schedule, and on manual dispatch.

is-not-external-contributor
  └─ pre-flight
       └─ configure          # determines scope, container tag, n_repeat
            ├─ linting
            ├─ cicd-container-build
            │    ├─ cicd-parse-unit-tests → cicd-unit-tests-latest
            │    ├─ cicd-parse-integration-tests-h100 → cicd-integration-tests-latest-h100
            │    └─ cicd-parse-integration-tests-gb200 → cicd-integration-tests-latest-gb200 (maintainers only)
            └─ Nemo_CICD_Test  # final pass/fail gate

Images are pushed to:

  • AWS ECR: 766267172432.dkr.ecr.us-east-1.amazonaws.com/…
  • GCP Artifact Registry: us-east4-docker.pkg.dev/nv-projdgxchipp-20260113193621/megatron-lm/…

CI Test Scope Labels

The CI pipeline reads PR labels to decide test scope, n_repeat, and container image.

Decision tree (first match wins):

Conditionscopen_repeatlightweightNotes
Merge groupmr-github1falseAutomatic, no label needed
Label: Run testsmr-github1trueTrains 4 steps, no golden-value compare
Label: Run functional testsmr-github5falseTrains 100 steps, golden-value compare
(no label)mr-github-slim5falseSlim subset only

Orthogonal image label:

LabelEffect
container::ltsBuild on the older long-term-support NGC PyTorch base instead of dev's latest — a backward-compat check, not a different test set (combinable with any scope label)
Run MBridge testsAlso triggers the MBridge L1 test suite
Run NeMoRL testsAlso triggers NeMo RL's Megatron functional test suite

Which label to attach when opening a PR

Changed paths / nature of changeLabel to attach
Docs only (docs/, *.md, docstrings)(none)
CI/tooling only (.github/, tools/, Makefile)(none)
Test files only (tests/) — existing tests, no new golden valuesRun tests
New test cases added (no golden values exist yet)Run functional tests
Re-enabling a disabled test (scope -broken → active)Run functional tests
Non-numerical library code (logging, error handling, CLI flags, refactors)Run tests
Could affect training numerics (model arch, attention, optimizer, distributed, MoE routing)Run functional tests
Container or dependency changes (docker/, pyproject.toml, uv.lock)Run tests (add container::lts only if the user explicitly asks to validate LTS)
Touches MBridge integrationadd Run MBridge tests
Could affect NeMo RL's Megatron integrationadd Run NeMoRL tests

Rule of thumb: default to Run tests. Always use Run functional tests when the PR adds new test cases (golden values must be generated) or when the change could plausibly shift loss curves.


Triggering Internal CI

Use tools/trigger_internal_ci.py after the internal GitLab remote and GITLAB_TOKEN are configured; see @tools/trigger_internal_ci.md for setup details. First run a dry run and verify the destination ref:

python tools/trigger_internal_ci.py --gitlab-origin gitlab --dry-run

The script force-pushes the current branch to pull-request/<branch> before triggering the pipeline. Only target your own pull-request branch, never a shared or protected branch. Add optional --functional-test-* flags only after the dry-run output matches the intended destination.


CI Failure Investigation

CI branches always follow the pattern pull-request/<number>.

Locating the PR from a CI Branch

# Extract PR number from the current branch
PR_NUMBER=$(git rev-parse --abbrev-ref HEAD | grep -oP '(?<=pull-request/)\d+')

# Fetch the PR metadata (title, labels, author, base branch)
gh pr view "$PR_NUMBER" --repo NVIDIA/Megatron-LM

# Show the changeset for that PR
gh pr diff "$PR_NUMBER" --repo NVIDIA/Megatron-LM

Reading CI Job Logs

# List recent workflow runs for the PR
gh run list --repo NVIDIA/Megatron-LM --branch "pull-request/$PR_NUMBER"

# Stream failing job output
gh run view <run-id> --repo NVIDIA/Megatron-LM --log-failed

Full per-rank logs are not in the runner stdout. They are uploaded as GitHub artifacts named logs-<test_case>-<run_id>-<uuid>.

# 1. Find artifact name
gh run view <run-id> --repo NVIDIA/Megatron-LM --json artifacts \
  --jq '.artifacts[].name'

# 2. Download the artifact zip
gh run download <run-id> --repo NVIDIA/Megatron-LM \
  --name "logs-<artifact-name>" -D ./ci-logs

# 3. Locate which rank logs contain errors
grep -r -l "ERROR\|Traceback\|FAILED\|fatal" ./ci-logs/

# 4. Log files can exceed 10 000 lines — never read a full log at once.
wc -l ./ci-logs/<test>/<attempt>/attempt_0/<rank>/stderr.log
sed -n '1,200p' ./ci-logs/.../stderr.log   # read in chunks

Identifying Failure Root Cause

  1. Linting failure — re-run tools/autoformat.sh locally; the diff shows exactly what needs to change.
  2. Container build failure — inspect the cicd-container-build job log.
  3. Unit test failure — the failing bucket is in the cicd-unit-tests-latest job matrix.
  4. Functional test failure — look at the cicd-integration-tests-* job. Start with stdout.log for rank 0.
  5. Flaky test — the runner retries automatically up to 3 times. If all retries exhausted and the pattern matches a known transient (NCCL, ECC, segfault), it is infrastructure noise.

Correlating a Failure with the PR Changeset

# Find unit tests that cover a changed source file
grep -r "from megatron.core.transformer.attention" tests/unit_tests/ -l

# Check CODEOWNERS for reviewer assignment
cat .github/CODEOWNERS | grep "<changed-path>"

nvidia의 다른 스킬

compileiq-debug
nvidia
무언가 잘못되었을 때 사용: Search()가 멈추거나, 모든 평가가 INVALID_SCORE를 반환하거나, 점수가 개선되지 않거나, 모든 설정이 동일한 숫자를 반환하거나, ptxas 오류 등이 발생할 때
create-github-pr
nvidia
gh CLI를 사용하여 GitHub 풀 리퀘스트를 생성합니다. 사용자가 새 PR을 만들거나, 코드 리뷰를 제출하거나, 풀 리퀘스트를 열고자 할 때 사용합니다. 트리거 키워드 -…
nemoclaw-maintainer-cross-issue-sweep
nvidia
다른 열린 이슈들을 스캔하여 주어진 PR이 함께 수정하거나 실수로 망가뜨릴 수 있는 이슈를 찾습니다. 인접 수정 기회와 모순 위험을 file:line…과 함께 출력합니다.
fhir-basics
nvidia
에이전트에게 FHIR R4 API의 작동 방식, 사용 가능한 리소스, 검색 매개변수를 사용한 쿼리 방법, 모든 응답 형식을 올바르게 파싱하는 방법을 가르칩니다…
compileiq-validate-result
nvidia
검색이 완료된 후, 속도 향상을 청구하거나 ACF를 발송하기 전에 사용합니다. dump_results CSV를 로드하고, 상위 K개 후보(단일 목표)를 추출합니다…
changelog-audit
nvidia
릴리스 전에 Warp CHANGELOG.md를 감사합니다: 누락된 항목 복구, 사용자 영향별 정렬, 항목 언어 다듬기, 줄 바꿈, (릴리스 브랜치 모드) 비교 업데이트…
maintain-dynamic-plugins
nvidia
NeMo Relay 동적 플러그인 로더, 매니페스트, Rust 네이티브 SDK, gRPC 워커 프로토콜, Python 워커 SDK, 문서, 테스트 및 릴리스 워크플로 커버리지를 유지 관리합니다.
dgx-diagnose
nvidia
일반적인 DGX Station GB300 문제 진단 — CUDA 충돌, 잘못된 GPU 타겟팅, vLLM/SGLang 컨테이너 버그, MIG 상태 문제, NVLink/Fabric Manager 오류,…