Packed data is data stored in a compressed or otherwise efficient representation for faster access and lower memory use. In machine learning, it can improve training and inference efficiency by reducing storage and computation overhead.
An approach for storing data more efficiently. Packed data stores data either by using a compressed format or in some other way that allows it to be accessed more efficiently. Packed data minimizes the amount of memory and computation required to access it, leading to faster training and more efficient model inference. Packed data is often used with other techniques, such as data augmentation and regularization, further improving the performance of models.