code: def forward(self, input, *args, **kwargs):
      vs = list(self._modules.values())
      l = len(vs)
      for i in range(l):
          if i == l - 1:
              input = vs[i](input, *args, **kwargs)
          else:
              input = vs[i](input)
      return input
  
file_path: robustness/robustness/tools/custom_modules.py
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 for calling the SequentialWithArgs obj's underlying member method code with example usage: obj.forward(input) and returns: input