def forward()

in scripts/models/resnet.py [0:0]


    def forward(self, x):
        outs = list()

        outs.append(self.mod1(x))
        outs.append(self.mod2(outs[-1]))
        outs.append(self.mod3(outs[-1]))
        outs.append(self.mod4(outs[-1]))
        outs.append(self.mod5(outs[-1]))

        if hasattr(self, "classifier"):
            outs.append(self.classifier(outs[-1]))

        if self.keep_outputs:
            return outs
        else:
            return outs[-1]