torchvision.models 图片任务加载多个模型，比如resnet,vgg,googlenet

看代码

import torch.nn as nn

import torchvision.models as models
import argparse

parser = argparse.ArgumentParser(description='PyTorch ImageNet Training')

if __name__ == '__main__':

    model_names = sorted(name for name in models.__dict__
                         if name.islower() and not name.startswith("__")
                         and callable(models.__dict__[name]))
    # print(model_names)
    parser.add_argument('-a', '--arch', metavar='ARCH', default='resnet50',
                        choices=model_names,
                        help='model architecture: ' +
                             ' | '.join(model_names) +
                             ' (default: resnet50)')
    args = parser.parse_args()

    model = models.__dict__[args.arch]()

    
    for name, param in model.named_parameters():
   
        print(name,param.size())

resnet50 的参数和形状输出：