Mcore Onboard Gb200 1node Tests
NVIDIA/Megatron-LM/skills/mcore-onboard-gb200-1node-tests
codingOfficial
Official Provider SkillView repo
Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.
Files5 files
BENCHMARK.md65 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categorycoding
Skill IDNVIDIA/Megatron-LM/skills/mcore-onboard-gb200-1node-tests
Files5 files
Related skills
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 PRsMcore 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 Run On SlurmHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.