0168d5298ab0878818e44b311678ff683f5ee0e2,pytorch/pytorchcv/models/others/oth_irevnet2.py,iRevNet,forward,#iRevNet#Any#,200

Before Change

        n = self.in_ch // 2
        if self.init_ds != 0:
            x = self.init_psi.forward(x)
        out = (x[:, :n, :, :], x[:, n:, :, :])
        for block in self.stack:
            out = block.forward(out)
        out_bij = merge(out[0], out[1])
        out = F.relu(self.bn1(out_bij))

After Change

         irevnet forward 
        x = self.init_psi.forward(x)

        out = torch.chunk(x, chunks=2, dim=1)
        for block in self.stack:
            out = block.forward(out)
        out_bij = torch.cat((out[0], out[1]), dim=1)

Instances