ParaDySe: A Parallel-Strategy Switching Framework for Dynamic Sequence Lengths in Transformer

Zhixin Ou, Peng Liang, Jianchen Han +2

Dynamic sequences with varying lengths have been widely used in the training of Transformer-based large language models (LLMs). However, current training frameworks adopt a pre-def…