I should add that other versions of CUDA are available on the computing grid, including CUDA 10.0 and CUDA 9.0, but unfortunately according to PyTorch installation none of these CUDA versions are appropriate to install Pytorch via Pip (currently PyTorch with CUDA 9.2, 10.1, and 10.2 can be installed via Pip). Is there any way to solve this problem?