code: def forward_prepare(self, input):
      output = []
      for module in self._modules.values():
          output.append(module(input))
      return output if output else input
  
imports: from __future__ import print_function, division, absolute_import
  import torch
  import torch.nn
  from torch.autograd import Variable
  from functools import reduce
label_desc: Use image node_id 2 for calling the LambdaBase obj's underlying member method code with example usage: obj.forward_prepare(input) and returns: unknown