Hello,
I want to use MultiProcessing to train several models simultaneously. Each thread (cpu core) update the parameters of its own model. Does PyTorch support such operations?
For example, firstly I create a  model list that each element is a seperate model:
net_list=[PyTorch Net  for _ in range(threads) ]
After then I use MultiPocessing to start each process to update these models. Will this work for PyTorch?