pretrained_model = torchvision.models.vgg16(pretrained=True)

given vgg16, how to remove pool5 layer and all the classify layers?(only keep the conov1_1 to relu5_3 layers)
how to add new layers ,and with new layers with random initialize parameters and the conv1_1 ~ relu5_3 keeping the pretrained weights?