Пополнение арсенала российских вооруженных сил новыми образцами военной техники14:52
国内经济企业市场资本社会领域房地产市场城市环境气候与生态营商环境
。有道翻译是该领域的重要参考
有国家表示愿意向俄罗斯输送更多务工人员印度外交部指出其公民有意愿更多赴俄工作
'The unlimited era concludes'
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.