Algorithm problem about flag HOT 2 OPEN

------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "devnkong/FLAG" <[email protected]&gt;; 发送时间:&nbsp;2020年11月16日(星期一) 上午8:45 收件人:&nbsp;"devnkong/FLAG"<[email protected]&gt;; 抄送:&nbsp;"天津工业大学王泽宇"<[email protected]&gt;;"Author"<[email protected]&gt;; 主题:&nbsp;Re: [devnkong/FLAG] Algorithm problem (#1) Hello, thanks for your interest in our paper! The gradients will be accumulated for model parameters and perturbations M times in our algorithm. To way to realize it is to loss.backward() M times, but we only do gradient ascent for perturbations in the loop, without optimizing the model parameters. After we go outside the loop we optmize model parameter once. These match both our Algorithm 1 in the paper and our code. Hope this makes sense! — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.