code: def forward(self, x):
      en1 = self.enc1(x)  ##240x320x64
  
      en2 = self.enc2(self.pool1(en1))  ## 120x160x128
      en3 = self.enc3(self.pool2(en2))  ## 60x80x256
      en4 = self.enc4(self.pool3(en3))  ## 30x40x512
  
      middle = self.middle(self.pool4(en4))  ## 30x40x512
  
      # pass_en4 = self.pass_enc4(en4) ## 30x40x512
      # dec1 = self.dec1(pass_en4+middle) ## 60x80x256
      dec1 = self.dec1(en4 + middle)  ## 60x80x256
  
      # pass_enc3 = self.pass_enc3(en3) ## 60x80x256
      # dec2 = self.dec2(pass_enc3+dec1) ## 120x160x128
      dec2 = self.dec2(en3 + dec1)  ## 120x160x128
  
      # pass_enc2 = self.pass_enc2(en2) ## 120x160x128
      # dec3 = self.dec3(pass_enc2+dec2) ## 240x320x64
      dec3 = self.dec3(en2 + dec2)  ## 240x320x64
  
      # pass_enc1 = self.pass_enc1(enc1) ## 240x320x64
      # dec4 = self.dec4(pass_enc1+dec3) ## 240x320x1
      dec4 = self.dec4(en1 + dec3)  ## 240x320x1
  
      return self.activation(dec4)
  
imports: import torch
  import torch.nn
  import torch.nn.init
  import torch.nn.functional
  import numpy
label_desc: Use image node_id 2 for calling the UNetRes obj's underlying member method code with example usage: obj.forward(x) and returns: self