I have a GeForce GTX 670 which has cuda capability 3.0. torch.cuda.is_available() returns True, however the card is unsupported in current versions, and returns a runtime error when I use the model after it has been moved to cuda: “RuntimeError: CUDA error: no kernel image is available for execution on the device”.
I do not want to remove the cuda support from the project code just to run it on my machine, and I also need to use a modern version of PyTorch. Is there any way to work around this error without substantial code modifications?