question in GatedConv2d

[tangeroo]

hi,
Thanks very much for your work.Here I have a question: in GatedConv2d, why does sigmoid function add to the conved inp instead of conved mask.
Thank you

[abtExp]

the concept of gated convolutions is based on learning weights based on the features, by activating only certain nodes in the kernel depending on the input. The gated convolution filter learns the relations between the input feature maps and the most prominent weights for that input feature map, thus it applies the sigmoid on the input allowing certain parts of input to contribute more to the output. (Giving higher weights to some features and lower weights to other features.)