Hi, I saw that there is a TensorFlow config for foss/2023a, but not with CUDA support. Looking at earlier versions, it looked like the only difference between a non-CUDA and a CUDA version was adding the relevant dependencies, so I tried that. However, if it were that easy somebody else would already have done it :-)
Tensorflow fails to compile. When I google it, others have seen the same error, and it's because it only supports CUDA 11.8, not CUDA 12.1.1. So I tried to change to that version, and make the few dependencies with that version too. No luck: CUDA 11.8 does not support GCC 12.X. Now I am clearly in too deep water... And I assume there is no CUDA-supporting PyTorch for similar reasons. How do you handle stuff like that in EasyBuild? Is it just a matter of waiting till a new version of TensorFlow and PyTorch support CUDA 12.X? Or are there some experts that hack stuff until it works? I guess I can just use an older toolchain for machine learning until then, but it would be nice to have... Best regards Jakob -- Jakob Schiøtz, professor, Ph.D. Department of Physics Technical University of Denmark DK-2800 Kongens Lyngby, Denmark
