Cast padding

In deep learning, especially with sequence data like text, "padding" is the process of adding extra data (often zeros) to ensure all input sequences have the same length. "Cast padding" involves converting these added padding elements into a specific data type or format compatible with the model, ensuring consistency and preventing errors during processing. Essentially, it’s about preparing sequences so they align properly in size and data type, enabling efficient and accurate training or inference in neural networks.