Pytorch, Deep Learning, Optimization, Tensorboard, Deep Dives.
modification to the training step required to enable AMP is demonstrated in the code block below. def train(data): inputs, labels = data[0].to(device=device, non_blocking=True), \ data[1].to(device=device, non_blocking=True) inputs = (inputs.to(torch.float32) / 255. - 0.5) / 0.5 with