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> 碰到了同样的问题,请问解决了吗 还没,项目暂停了,搞其他事情去了 

> 参考交流群意见,重新编译转换器,添加script支持 ``` cmake .. -DMNN_BUILD_CONVERTER=true -DMNN_BUILD_TORCH=ON && make -j4 ``` 重新运行,出现了其他错误: ``` $ ./MNNConvert -f TORCH --modelFile model_script.pt --MNNModel model_script.mnn --bizCode biz Start to Convert Other Model Format To...

> 下载最新仓库源码,重新进行编译并开启TORCH支持开关,能够完成AlexNet模型的转换

> 你好,看到你提到交流群,请问我如何加入交流群呢?MNN项目里的钉钉二维码都失效了。 非常感谢~~ https://github.com/alibaba/MNN#how-to-discuss-and-get-help-from-mnn-community https://github.com/alibaba/MNN/blob/master/README_CN.md#%E7%A4%BE%E5%8C%BA%E4%BA%A4%E6%B5%81%E4%B8%8E%E5%8F%8D%E9%A6%88

> 看看这个#1605,会不会对你有帮助

hi @zhanghang1989 @FrancescoSaverioZuppichini. i modified code to match the same results compare with origin code. ## code ``` # -*- coding: utf-8 -*- """ @date: 2021/1/4 上午11:32 @file: split_attention_conv2d.py @author:...

> Hi, > > I'm new to this fantastic work. When I tried to test the inference accuracy of resnet-18 with r18_torchvision_imagenet_224.yaml/r18_zcls_imagenet_224.yaml, the result accuracy is 68.136%, which is lower...

> Sorry for the slow response. > > The easiest way to do this would be to create a normal resnet34 (without masks), and then copy across the weights. >...

> @caikengxiaonengshou 能否具体解释一下开根号前后的差异性?另外有相关的试验结果木有?

> @caikengxiaonengshou 嗯嗯 我先研究一下,相关的实验估计也得重做。欢迎PR