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Hi @davorvr ! You don't have to change the Let us know if you have any questions! Thanks, Divya |
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Hello, quick question, on my cluster I can load either CUDA libraries of versions 11.8 or 12.6. Would sleap-nn work with CUDA 12.6, provided I add the setting to
pyproject.tomlto pull in the corresponding Torch build? I'm not very familiar with the entire Torch+CUDA framework and whether there could be differences in functionality between 12.6 and 12.8 that SLEAP may depend on. So, while it seems to build successfully, I'm not sure if I should be concerned about odd failures down the line due to forward incompatibility.Also, less importantly, how big of a difference is it to use 11 vs 12? Is it worth it to try to use 12, or are the differences minor enough that I shouldn't worry and should rather just match the version fully and go with 11.8?
Thanks!
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