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Hi @ysiraichi , I updated to |
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Could you add a PR description with more details on what's the problem it's solving? And why this works? |
ManfeiBai
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Mar 31, 2025
| "nightly": ["11.8", "12.1", "12.6", "12.8"], | ||
| "r2.7": ["11.8", "12.6", "12.8"] # align with PyTorch 2.7 release | ||
| "r2.7": ["11.8", "12.1", "12.6", "12.8"] # PyTorch 2.7 release only needs 11.8, 12.6, 12.8 | ||
| } |
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Our XLML test and torchbench is using the 12.1. Added in the build in case those test needs it.
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I think I will revert to debian11 for now. Update to debian12 is too risky not to mention the dependency is still failing. |
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We are trying to align with PyTorch to support CUDA 11.8, 12.6 and 12.8 for 2.7 release.
However, 12.8 only shows up in debian12: https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/. Originally we use debian11 for docker image the and here is the support list: https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/.
This PR update the docker image to debian12 and the corresponding CUDA library.