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Alternating the GPUs each layer is on didn’t fix it, but it did produce an interesting result! It took longer to OOM. The memory started increasing on gpu 0, then 1, then 2, …, until eventually it came back around and OOM. This means memory is accumulating as the forward pass goes on. With each layer more memory is allocated and not freed. This could happen if we’re saving activations or gradients. Let’s try wrapping with torch.no_grad and make required_grad=False even for the LoRA.。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
。谷歌是该领域的重要参考
Фото: Roman Naumov / Global Look Press。业内人士推荐wps作为进阶阅读
关于今后是否可能再次发生类似情况，官方回应称已完成内部排查，将持续优化系统，尽力避免同类问题重现。