Build sdist and wheel in CI - #1865
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calebho wants to merge 12 commits into
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calebho
marked this pull request as ready for review
December 17, 2024 05:03
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cc @crcrpar |
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I think this repo is a better implementation to build apex wheels. |
bvolpato
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Aug 16, 2026
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Could we adjust Python/container matrix before enabling this? I reproduced CUDA 12.4 Ubuntu 20.04 job and deadsnakes only provided 3.9 dev/venv packages. Python 3.10, 3.11, and 3.12 fail at apt install, leaving 9 of 12 combinations unable to reach build.
Could MANIFEST.in also include apex/contrib/csrc? Generated sdist omitted those CUDA sources, and building --fast_layer_norm from extracted archive failed on missing ln_api.cpp.
Is intended scope CI artifacts only? Current workflow uploads unsigned x86_64 artifacts, but does not publish release wheels or cover ARM/CUDA 13.
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summary
People often run into issues building from source, so it would help if there were pre-built wheels with sensible defaults. This PR adds GitHub Actions that builds wheels for various Python and CUDA versions and saves them to the workflow artifacts on each commit push.
To get the wheel, one needs to go to the workflow page and download it following https://docs.github.com/en/actions/managing-workflow-runs-and-deployments/managing-workflow-runs/downloading-workflow-artifacts. For example,
Still clunky, but much faster than building from source
The specific versions were chosen based on what is currently supported in PyTorch stable (2.5 at the time of writing). Specifically:
Notes
Good follow ups
pip install https://github.com/NVIDIA/apex/releases/...on the appropriate wheeltest plan
builds are green: https://github.com/calebho/apex/actions/runs/12365956032/job/34511835345
ran L0 tests on Python 3.10 + CUDA 12.1 on 2xA100 40GB