def forward()

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

• 10 lines of code
• 3 McCabe index (conditional complexity)

    def forward(self, x: torch.Tensor) -> torch.Tensor:  # type: ignore
        """Forward pass of XnorBasicBlock."""
        out1 = self.nonlin1(self.conv1(self.bn1(x)))
        if self.double_shortcut:
            out1 = out1 + self.shortcut(x)
        out2 = self.conv2(self.bn2(out1))
        if self.double_shortcut:
            out2 = self.nonlin2(out2)
            return out2 + out1
        out2 = out2 + self.shortcut(x)
        return self.nonlin2(out2)