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Hi @vfdev-5, I think this one is ready for review :) Should I check if everything builds with cuda 12.8 and update to use that? 🤔 |
vfdev-5
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Thanks, Gonzalo!
I left a comment and questions
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docker/docker.cfg
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| @@ -1,4 +1,4 @@ | |||
| [DEFAULT] | |||
| build_docker_image_pytorch_version = 2.6.0-cuda12.4-cudnn9 | |||
| build_docker_image_pytorch_version = 2.7.1-cuda12.8-cudnn9 | |||
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It was on purpose to keep not too recent cuda version as user's host machine driver may not be that recent and this would require to upgrade the drivers etc to use the image.
If we can set it to 12.4 it is good, if pytorch image has 12.6 as minimal version, let's use that.
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@vfdev-5 for the 2.7.1 version we have images with
2.7.1-cuda11.8-cudnn9-...
2.7.1-cuda12.6-cudnn9-...
2.7.1-cuda12.8-cudnn9-...
So minimal version is 11.8 for the pytroch images.
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11.8 is rather old, let's use 12.6
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