Hi Edward ,
Thanks for your response. I understand the motivations for removal it : you can’t support every old version, My only surprise is , that if the chip is capable to run Cuda 9 separately, even if “officially” only older version of Cuda is supported, I assume you (CudNN) don’t need to do anything special at all. But, of course, I don’t know constraint/limitations of your product. As I wrote , I realize now that even if I install pytorch from source and somehow “link” my existing cuda install, it will fail in CudNN
Regards