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개발 및 엔지니어링 · SKILL.md

build-and-maintenance

build-and-maintenance

Use this sub-skill for Torch-TensorRT source builds, package variants, CI/test lane selection, contributor workflows, and safe maintainer diagnostics.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: build-and-maintenance description: "Use this sub-skill for Torch-TensorRT source builds, package variants, CI/test lane selection, contributor workflows, and safe maintainer diagnostics." metadata: disco-role: operating disable-model-invocation: true license: BSD 3-Clause

Torch-TensorRT Build and Maintenance

Use this sub-skill when the user is working on the repository itself: building from source, selecting wheel variants, diagnosing package/test setup, or choosing a safe maintainer test lane.

Route by maintenance task

User goalRead/run
Build a wheel or install from sourcereferences/build-and-test.md and references/package-variants.md
Understand package flags such as PYTHON_ONLY, NO_TORCHSCRIPT, USE_TRT_RTX, CU_VERSION, or JetPack/Windows ARM64 selectorsreferences/package-variants.md
Choose a safe local test lanereferences/test-selection.md
Inspect CI suites or list available maintenance helpersscripts/list_ci_suites.py --help
Probe source-build prerequisites without compiling everythingscripts/source_build_probe.py --help
Diagnose a source-build or test failurereferences/troubleshooting.md

Maintenance workflow

  1. Confirm whether the user is trying to build, test, package, or inspect the repository.
  2. Decide whether the desired variant is standard, Python-only, no-TorchScript, TensorRT-RTX, JetPack, or Windows ARM64.
  3. Check prerequisites before building: Python, PyTorch/CUDA/TensorRT family, Bazel or other build tools, and any target-specific SDKs.
  4. Start from the smallest relevant lane or probe before recommending a broad test suite.
  5. If a build is required, make the command match the selected package variant and platform.
  6. If the task is only source inspection or CI understanding, use the bundled scripts and references rather than a full build.

Guardrails

  • Do not run long builds, full test matrices, or release automation unless the user explicitly wants them.
  • Do not hide package-variant choices behind a generic pip install . when flags change runtime features.
  • Do not tell users to edit or run files from another checkout; the skill must stand on its bundled references/scripts.
  • Do not treat a successful import as proof that build/test lanes are healthy.
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