def METHOD_NAME(self, x):
    out = x
    for i in range(0, len(self.body)):
        out = self.body[i](out)
    out = self.upsampler(out)
    # add the nearest upsampled image, so that the network learns the residual
    base = F.interpolate(x, scale_factor=self.scale, mode="nearest")
    out += base
    return out