The concept is simple. For a model with $N$ layers, I define a configuration $(i, j)$. The model processes layers $0$ to $j{-}1$ as normal, then loops back and reuses layers $i$ through $j{-}1$ again, and then the rest to $N{-}1$. The layers between $i$ and $j{-}1$ get duplicated in the execution path. No weights are changed. The model just traverses some of its own layers twice.
China sets lowest economic growth target since 1991。关于这个话题，PDF资料提供了深入分析
。新收录的资料对此有专业解读
Ранее мэр Сочи назвал атаку на город беспрецедентной по длительности. По его словам, налет продолжается уже почти сутки с небольшим перерывом.。关于这个话题，新收录的资料提供了深入分析
AI, very funny, I know).