Pytorch-HarDNet
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problems in compute CIO
Nice work, thanks for the great idea of the CIO. When I compute MACs and CIO, I get MACs values the same as the paper.
but, I compute the CIO of the models as follows: hardnet39ds (9.8M), hardnet68ds (17.3M), mobilenetv2 (13.4M, same), resnet18 (4.7M, same) and resnet50 (21.8M). I am confused about these results.
Could you provide the CIO code? thanks a lot.