Any general guidelines both space and time wise as to which frameworks are best suited in the various stages of ML
Are there any guidelines as to why transforms, for example, shouldn’t happen on the GPU but on Pytorch CPU. If Pytorch CPU is slower than Numpy, then why not code the transforms up in Numpy.