Respond To Issue

NVIDIA/Megatron-LM/skills/respond-to-issue

NVIDIA· v1.0.0

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Research and draft a response to a GitHub issue or question from an external contributor.

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SKILL.md66 satır

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Kurulum

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Skill detayları

Versiyonv1.0.0

YazarNVIDIA

Kategoriresearch

Skill IDNVIDIA/Megatron-LM/skills/respond-to-issue

İlgili skill'ler

Mcore Build And DependencyContainer-based dev environment setup and dependency management for Megatron-LM. Covers acquiring and launching the CI container, uv package management, and updating uv.lock.Mcore Bump Base ImageBump the NVIDIA PyTorch base image (`nvcr.io/nvidia/pytorch:YY.MM-py3`) used by Megatron-LM CI. Covers the two pin sites (GitHub CI in `docker/.ngc_version.dev` and GitLab CI in `.gitlab/stages/01.build.yml`), the post-bump CI loop (re-run functional tests, refresh golden values, mark broken tests), and the gotchas that bit PRs Mcore CicdCI/CD reference for Megatron-LM. Covers CI pipeline structure, PR scope labels, triggering internal GitLab CI (which force-pushes the current branch to a pull-request/BRANCH ref — always dry-run and verify the destination first; never run against shared or protected branches), and CI failure investigation.Mcore Create IssueInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.Mcore Linting And FormattingLinting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.Mcore Onboard Gb200 1node TestsOnboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.