Lyken17 / pytorch-memonger

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

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The fine tune can't work

youth123 opened this issue · comments

commented

Thanks for sharing the tools. It helps me a lot. But I have some little question. When I load the model parameters trained before to continue my traininig, the accuracy can not improve after many epoches. I thought this is because the batch normalization parameters is sqrted when saved.

Sorry for the late rely. Do you still have the issue? If so, please attach a minimal case.

commented

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

commented

Close due to inactivity. Feel free to re-open it if necessary.