Yeah, so it's impressive if this repo does what it claims and is robust to such manipulations. I tried to run it but of course it failed with NVIDIA GeFor

Yeah, so it's impressive if this repo does what it claims and is robust to such manipulations. I tried to run it but of course it failed with NVIDIA GeForce RTX 4090 with CUDA capability sm_89 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_70. If you want to use the NVIDIA GeForce RTX 4090 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ I was curious, but not curious enough to deal with this crap even if it's rather simple. God I hate everything about the modern ML ecosystem with python, pip, conda, cuda, pytorch, tensorflow (more rare now), notebooks, just-run-it-in-the-cloud...