Optimization, Pytorch, Machine Learning, Deep Learning, Tensorboard.
accomplish this is to prefer, whenever possible, higher level PyTorch operators, such as torch.nn.NLLLoss. Such functions are presumed to “fuse" together underlying operations, thus requiring a lower number of overall kernels. Optimization #4: Replace custom NLL with torch.nn.NLLLoss The code block