I constructed my model with pytorch 0.4.1 and train it on two gpus, I use nn.DataParallel to distribute the model to the two gpus, it worked well for me. However, when I switched to pytorch_nightly version(pip install torch_nightly), it seems that the training is getting much slower with the same code. Is there some change with this multi-gpu method please ?