def create_model(args): model = Net() if args.start_epoch: path = os.path.join(args.checkpoints_dir, f'checkpoint-{args.start_epoch}.pth') model.load_state_dict(torch.load(path)) else: model.load_pretrained(args.ddr_weights) return model.to(args.device)
def create_model(args): model = Net() model.load_pretrained(args.weights) return model.to(args.device)