I've modified BasicBlock of Resnet architecture by adding a few more FC layers at the end of the block. I tried model.load_state_dict() on the new model and it worked perfectly. I wonder how the weights of these layers are treated when I load pretrained weights. Are pretrained weights assigned properly to correct layers and weights from new layers are intialized randomly? Or model.load_state_dict() fail in this scenario and all weights of the model are intialized from the beginning?