code: def forward(self, x, shift, scale):
      x_inter = F.interpolate(x, size=x.shape[-1] * self.factor)
      res = self.res_block(x_inter)
      o = F.leaky_relu(x_inter, 0.2)
      o = F.interpolate(o, size=x.shape[-1] * self.factor)
      o = self.main_block[0](o)
      o = shif_and_scale(o, scale, shift)
      o = F.leaky_relu(o, 0.2)
      o = self.main_block[1](o)
      res2 = res + o
      o = shif_and_scale(res2, scale, shift)
      o = F.leaky_relu(o, 0.2)
      o = self.out_block[0](o)
      o = shif_and_scale(o, scale, shift)
      o = F.leaky_relu(o, 0.2)
      o = self.out_block[1](o)
      o = o + res2
      return o
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils import weight_norm
label_desc: Use image node_id 2 for calling the UBlock obj's underlying member method code with example usage: obj.forward(x, shift, scale) and returns: o