Merging resnet34 into resnet152


I have a trained resnet34. Since resent is built in blocks is it possible to utilize the resnet34 and merge the learned weights into resnet152? Would this be useful? I feel like it could be a good approach instead of retraining entirely from scratch. Have there been any papers written on this topic and/or code published?

Is this possible with the fastai library?

resnet34 and resnet152 use different blocks in their architectures, so they are essentially completely different. The details can be found in the original paper or the torchvision.models source code.