python记载部分权值

// An highlighted block
if check_point_net_path!=None:
            checkpoint = loading.torch_load_legacy(check_point_net_path)
            model_dict = net.state_dict()
            #print("model_dict",model_dict)
            #pretrained_dict = {k:v for k,v in checkpoint['net'].items() if k in model_dict }
            
            pretrained_dict = {}
            
            for k,v in checkpoint['net'].items():
                if k in model_dict:
                    if(v.shape == model_dict[k].shape):
                        pretrained_dict[k]=v
                        print(k)
            
            model_dict.update(pretrained_dict)
            #net.load_state_dict(checkpoint_dict['net'])
            net.load_state_dict(model_dict)
            print("pretrain loading success!")