Can anyone confirm if using PyTorch can be done (easily) on google-cloud-ml? Probably one doesn’t have to pull the above tricks anymore since PyTorch is now on PyPi?
I’m specifically worried about data I/O and multiprocessing… we would basically want to use a folder dataset, but not sure if Google will support that.