hello. I am studying 2DPASS with code.
It seems that the modality fusion implementation is in network/arch_2dpass.py from line 100 to line 105.
In the thesis, bitwise add is specified, but I do not see it in the code, so I ask a question.
Below is the code.

modality fusion

feat_learner = F.relu(self.leanersidx)
feat_cat = torch.cat([img_feat, feat_learner], 1)
feat_cat = self.fcs1idx
feat_weight = torch.sigmoid(self.fcs2idx)
fuse_feat = F.relu(feat_cat * feat_weight)

I think that [fuse_feat = F.relu(feat_cat*feat_wieght) + img_feat] implements the formula in the paper as a code.
Isn't it?