Performance, Pytorch, Deep Learning, Artificial Intelligence, Tensorboard.
our toy example, we were able to find equivalent alternatives to the problematic operators that use fixed sized tensors and avoid the need for synchronization events. These led to a significant improvement in training time. However, in practice you might find it much harder — even impossible — to