Agreed, although it isn’t always evident to find the time to get all of my colleagues to use the latest PT+CUDA versions. Some of them are still on 0.4.1 + CUDA9.
I really have to find time to figure out how I can use docker images for my development projects. I feel it would make things a lot easier, rather than to have manually install a new venv with PyTorch and manually setting the correct paths for CUDA. Docker should do away with all that overhead but I haven’t figured out how to use it during development. If only we had an infinite amount of time!
(Sorry for topic hijack!)