Comments (8)
HarukiYqM
commented on July 23, 2024
是的，但使用这个codebase，NLSA应该可以正常运行，不会出现这个问题。不知道你是否做了其他修改
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HarukiYqM
commented on July 23, 2024
Also, please ensure torch<1.9.
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cheun726
commented on July 23, 2024
老师，您好。我想问一下程序里有计算flops的代码？我想计算整个程序的flops怎么办？谢谢老师
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HarukiYqM
commented on July 23, 2024
不好意思，现在的代码版本暂时并不支持flops计算。但是每一步的复杂度都是确定的，你可以看看github上其他的flops开源库，然后根据code写一个自定义的复杂度函数。例如https://github.com/Lyken17/pytorch-OpCounter
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cheun726
commented on July 23, 2024
好的，谢谢您
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主题: Re: [HarukiYqM/Non-Local-Sparse-Attention] x3的model (#17)
不好意思，现在的代码版本暂时并不支持flops计算。但是每一步的复杂度都是确定的，你可以看看github上其他的flops开源库。
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cheun726
commented on July 23, 2024
HarukiYqM 老师您好，
testX3的model时需要设置--patch_size 为144吗？为什么我分别设置--patch_size为144和96输出的PSNR为一样的？是不是不用设置--patch_size,只需要设置scale即可？
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HarukiYqM
commented on July 23, 2024
是的，测试时patch_size对结果没有影响，只需要在训练时设置。
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cheun726
commented on July 23, 2024
谢谢老师，我是才接触超分，所以问题比较多，麻烦老师了，谢谢老师
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主题: Re: [HarukiYqM/Non-Local-Sparse-Attention] x3的model (#17)
是的，测试时patch_size对结果没有影响，只需要在训练是设置。
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Related Issues (20)
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