code: def forward(self, x):
      out = x  # ;print('x    ',x.size())
      down2, out = self.down2(out)  # ;print('down2',down2.size())
      down3, out = self.down3(out)  # ;print('down3',down3.size())
      down4, out = self.down4(out)  # ;print('down4',down4.size())
      down5, out = self.down5(out)  # ;print('down5',down5.size())
      down6, out = self.down6(out)  # ;print('down6',down6.size())
      pass  # ;print('out  ',out.size())
  
      out = self.center(out)
      out = self.up6(down6, out)
      out = self.up5(down5, out)
      out = self.up4(down4, out)
      out = self.up3(down3, out)
      out = self.up2(down2, out)
  
      out = self.classify(out)
      # out = torch.squeeze(out, dim=1)
      return out
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the UNet512 obj's underlying member method code with example usage: obj.forward(x) and returns: out