Internal state is float between 0 and 1, not binary? about binarynet.pytorch HOT 3 OPEN

Please look at resnet_binary line 4, this line import binarize conv and fully connected operators:

from .binarized_modules import BinarizeLinear,BinarizeConv2d

If you look in binarized_modules .py line 13 you'll find your sign function

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Righ, I was checking the input of the BinaryConv module, missing how you use Binarize in the first step of the forward function of that module. Thanks again!

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Same question here, not sure if @ocarinamat or @itayhubara can provide more insight into it.

I'm working specifically with binary resent with CIFAR10. While the BinarizeLinear,BinarizeConv2d are used, the activations (after Hardtanh) are float between -1 and 1. My understanding is that BinarizeConv2d just binarizes the weights of the convolutional layers. I'm not what I'm missing here to get the binary activations as well.

Thanks a lot!

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