def METHOD_NAME(self, x):
    _, _, h, w = x.size()
    x1 = self.conv1_1(x)
    x2 = self.conv1_2(x)
    x2_1 = self.conv2_0(x1)
    x2_2 = F.interpolate(self.conv2_1(self.pool1(x1)), (h, w))
    x2_3 = F.interpolate(self.conv2_2(self.pool2(x1)), (h, w))
    x2_4 = F.interpolate(self.conv2_3(self.pool3(x2)), (h, w))
    x2_5 = F.interpolate(self.conv2_4(self.pool4(x2)), (h, w))
    x1 = self.conv2_5(F.relu_(x2_1 + x2_2 + x2_3))
    x2 = self.conv2_6(F.relu_(x2_5 + x2_4))
    out = self.conv3(torch.cat([x1, x2], dim=1))
    return F.relu_(x + out)