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]