Solved by ptrblck in post #2 
              
              
                You can pick any PyTorch tag, which would support your setup (e.g. CUDA9.2). The currently required min. CUDA toolkit version is 10.2, so you should double check if PyTorch 1.6.0 supports 9.2. Yes, the release/1.6 branch is correct. You could alternatively use git checkout v1.6.0. 


The different…