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Participants

Goals

Discussion topics

Item

Presenter

Notes

Where to go from here?

MT/LW

LW: Nice-to-haves include

  • Dask + Kubernetes cluster in released version of Evaluator

  • Docker image with Evaluator + everything installed

    • Useful for fitting on NRP

    • Maybe useful more broadly

      • LW: currently using this image

        • env file:

        • entrypoint script:

      • Lily’s awesome Docker automation:

        • CUDA version hardcoded because that’s what NRP (currently) uses

Testing:

  • (stretch) have some sort of automated regression testing, probably run in release process and not on every commit

Scripts for running test jobs on NRP (or other platforms)?

MT

  • Input scripts:

    • How to use:

      • Untar targets and have all scripts + targets/ directory at the same level

      • run-fit.sh executes run-fit.py. This script:

        • Writes out cluster-spec.yaml

        • copies server-existing.py to a runner on Kubernetes

        • Runs a fit using ForceBalance.py optimize.in

Action items

  • Matt Thompson talk to Jeff about hosting Docker images with Evaluator + k8s (similar to how QCA hosts images, except with the images a little more human-facing)
  • Matt Thompson look into adding more tests into Lily’s PR?
  • Lily Wang will provide some inputs scripts

Decisions

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