Optimization, Pytorch, Machine Learning, Deep Learning, Tensorboard.
criterion(outputs, labels) optimizer.zero_grad(set_to_none=True) loss.backward() optimizer.step() torch.cuda.synchronize() prof.step() With the addition of the artificial synchronization event, our new baseline step time is ten milliseconds. To identify further opportunities for optimization, let’s