code: def forward(self, *x):
      level1 = []
      level1 += [self.level1_1(x[0], x[2])]
      level1 += [self.level1_2(x[1], x[3])]
      level1 += [self.level1_3(x[2], x[4])]
      level2 = self.level2(*level1)
  
      return self.level3(level2)
  
imports: import torch.nn.functional
  from .utils import *
  from .backbone import *
label_desc: Use image node_id 2 for calling the decode obj's underlying member method code with example usage: obj.forward() and returns: self