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Hoping to get conda-forge/onnxruntime-feedstock#145 conda-forge/onnxruntime-feedstock#139

cc: @cbourjau

Windows GPU builds time out due to out of memory. Locally, I've seen my laptop's RAM usage spike to 33GB so i'm hoping that was due to:

  1. Too many concurrent compilation
  2. Other tasks open

Will try again. but hopefully this can all help move onnxruntime to windows!

I've noticed most of the challenges are due to 1-2 CUDA kernels that take about 1-2 hours to compile...

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    instead of marking packages as broken. This alternative workflow makes environments more reproducible.
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Checklist:

  • I want to mark a package as broken (or not broken):

    • Added a description of the problem with the package in the PR description.
    • Pinged the team for the package for their input.
  • I want to archive a feedstock:

    • Pinged the team for that feedstock for their input.
    • Make sure you have opened an issue on the feedstock explaining why it was archived.
    • Linked that issue in this PR description.
    • Added links to any other relevant issues/PRs in the PR description.
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    • Pinged the relevant feedstock team(s)
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    • Pinged the relevant feedstock team(s)
    • Added a reference to the original PR
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    • Pinged the relevant feedstock team(s)
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@hmaarrfk hmaarrfk requested a review from a team as a code owner April 30, 2025 22:33
@wolfv wolfv merged commit 7a78833 into conda-forge:main May 21, 2025
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@hmaarrfk
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Thanks

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2 participants