Im using FCN50+Resnet50 from torchvision, but it does not have pretrain model available now.
Is there a way to use the pretraining weights from resnet50 to just update part of the FCN50 which belongs to Resnet?
Here is what I mean


model_1 = torchvision.models.segmentation.fcn_resnet50(pretrained=False, num_classes=21).to('cuda:0')
 resnet50 = models.resnet50(pretrained=True)

How can I just update part of model1 which is in common which model2?