code: def forward(self, inputs_):
      down1, down1_pool = self.down1(inputs_)
      down2, down2_pool = self.down2(down1_pool)
      down3, down3_pool = self.down3(down2_pool)
      down4, down4_pool = self.down4(down3_pool)
      down5, down5_pool = self.down5(down4_pool)
      down6, down6_pool = self.down6(down5_pool)
  
      center = self.center(down6_pool)
  
      up6 = self.up6(center, down6)
      up5 = self.up5(up6, down5)
      up4 = self.up4(up5, down4)
      up3 = self.up3(up4, down3)
      up2 = self.up2(up3, down2)
      up1 = self.up1(up2, down1)
  
      x = self.classify(up1)
  
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the UNet960 obj's underlying member method code with example usage: obj.forward(inputs_) and returns: x