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serving-tools

serving-tools

Package, publish, inspect, and troubleshoot MMDetection3D serving utilities.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: serving-tools description: "Package, publish, inspect, and troubleshoot MMDetection3D serving utilities." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

MMDetection3D serving-tools sub-skill

Use this sub-skill when the task is one of:

  • package a checkpoint for TorchServe-style serving,
  • verify the packaging inputs before export,
  • publish or convert a checkpoint for release,
  • inspect training logs, FLOPs, or throughput,
  • print configs or fuse Conv+BN for utility work.

This sub-skill is safe by default. The bundled checker only validates paths and required artifacts; it does not start servers, build containers, download weights, or run model execution.

Start here

  1. Identify the utility family: serving packaging, checkpoint publishing/conversion, log analysis, FLOPs/throughput, or config inspection.
  2. Before packaging, run scripts/check_serving_artifacts.py to confirm the config, checkpoint, handler, model name, and export target are ready.
  3. For the serving flow and handler assumptions, read references/serving.md.
  4. For the utility script catalog and safe-use boundaries, read references/tools-reference.md.
  5. For common failures and stop conditions, read references/troubleshooting.md.

Route away

  • Choosing a model family, config alias, or checkpoint family belongs in configuration-model-zoo.
  • Raw inference demo commands or inferencer APIs belong in inference.
  • Training, testing, evaluation, TTA, distributed launch, and Slurm workflows belong in training-evaluation.
  • Geometry, box conversion, coordinate systems, and visualization internals belong in structures-visualization.
  • Dataset preparation and conversion belong in data-preparation.
  • Custom component implementation belongs in customization-extensions.

Minimal operating rules

  • Do not run TorchServe, Docker, download checkpoints, or benchmark jobs unless the user explicitly asks for execution.
  • Treat the bundled checker as a preflight only; it prints missing artifacts and exits, but it does not repair anything.
  • Keep utility advice tied to local files and explicit config/checkpoint pairs.
  • Prefer the bundled references over free-form guesses when the user asks about script flags or expected artifacts.
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