Performance, Pytorch, Deep Learning, Artificial Intelligence, Tensorboard.
loading) per training step which is not necessarily aligned with the GPU activity. Although the synchronization events discussed above introduced unnecessary overhead, they had a positive side-effect of increasing the alignment between the CPU and GPU activities and increasing the accuracy of our