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feat!: Update to new runners, update PyTorch, add ARM builds, add Blackwell support, add sglang
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[skip ci]
[skip ci]
[skip ci]
[skip ci]
The previous method didn't work when 10.0 was included in the BUILD_TORCH_CUDA_ARCH_LIST build argument, so this uses shell parameter expansion hackery to get around that. This also keeps the previous logic, but switches it to force sm_100a builds on supported CUDA versions.
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Heckin' big. One question, otherwsie looks great to me.
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
5 similar comments
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351603 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
1 similar comment
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351603 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
3 similar comments
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
@Eta0 Build complete, success: https://github.com/coreweave/ml-containers/actions/runs/13338351608 |
Many updates (CI, building for more architectures, PyTorch libraries, etc.)
This PR is to merge an overly-long-running branch back to
main
comprising most updates to PyTorch and the CI system from the last few months. Some highlights include:ml-containers/torch
andml-containers/torch-extras
build processes were adapted to support arm64, to matchml-containers/torch
andml-containers/torch-extras
bundled librariesml-containers/torch
imagesglang
imageThere were also various bugfixes, improvements, and customizability enhancements added along the way noted in commit messages.