基于 GitHub xxradon/PytorchToCaffe 源码，修改 example\resnet_pytorch_2_caffe.py 如下

import os
import sys
sys.path.insert(0, '.')import torch
from torch.autograd import Variable
from torchvision.models import resnet
import pytorch_to_caffe"""resnet models in pytorch format can be downloaded from‘resnet18’: ‘https://download.pytorch.org/models/resnet18-5c106cde.pth’,‘resnet34’: ‘https://download.pytorch.org/models/resnet34-333f7ec4.pth’,‘resnet50’: ‘https://download.pytorch.org/models/resnet50-19c8e357.pth’,‘resnet101’: ‘https://download.pytorch.org/models/resnet101-5d3b4d8f.pth’,‘resnet152’: ‘https://download.pytorch.org/models/resnet152-b121ed2d.pth’,"""def show_usage(cmd):print( "Usage:" )print(   "    ", cmd, " <pytorch-model-name>  <pytorch-model-filename.pth>" )def main(cmd, argv):if( len(argv) < 2 ):print( "Error! Parameter is not enough." )show_usage( cmd )exit( 1 )model_name = argv[0]input_file = argv[1]pure_path = os.path.splitext( input_file )file_name = pure_path[0]print( " model  : ",  model_name )print( " input  : ",  input_file )print( " output : ",  '{}.prototxt'.format(file_name) )print( "          ",  '{}.caffemodel'.format(file_name) )input=torch.ones([1,3,224,224])match model_name:case "resnet18":resnet_x = resnet.resnet18()case "resnet34":resnet_x = resnet.resnet34()case "resnet50":resnet_x = resnet.resnet50()case "resnet101":resnet_x = resnet.resnet101()case "resnet152":resnet_x = resnet.resnet152()case _:print( "Error! Unknown model name : ",  model_name )show_usage( cmd )exit( 2 )if( False == os.path.isfile(input_file) ):print( "Error! Cannot find input file : ", input_file )show_usage( cmd )exit( 3 )checkpoint = torch.load(input_file)resnet_x.load_state_dict(checkpoint)resnet_x.eval()pytorch_to_caffe.trans_net(resnet_x,input,model_name)pytorch_to_caffe.save_prototxt('{}.prototxt'.format(file_name))pytorch_to_caffe.save_caffemodel('{}.caffemodel'.format(file_name))if __name__ == "__main__":main(sys.argv[0], sys.argv[1:])

脚本依赖pytorch，安装之。

pip install torch

运行中遇到 protobuf 版本过高问题，降级处理

pip install -U protobuf==3.20 

下载 resnet model文件后，执行脚本

python example\resnet_pytorch_2_caffe.py  resnet152  resnet152-b121ed2d.pth