datacuber:

now I have CUDA 11.2 with no problems. I have only seen installation instructions until CUDA 11.1. Am i suppose to have any compatibility problems with this?


The PyTorch binaries ship with their own CUDA runtime (in the mentioned case with CUDA11.1) and your local CUDA toolkit will only be used if you build PyTorch from source or compile custom CUDA extensions. To run PyTorch on the GPU, you would need to have a compatible driver, which should be the case in your setup.



 datacuber:

I don’t want to create a new conda environment if not necessary, since as I remember Pytorch installation took a long while and if there is any way to properly carry out the process it would be good to know…


I’m not sure I understand this concern, since you would have to download the binaries in any case.