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 ..None import resnext101_64x4d
  from math import floor
  import numpy
  import torch
  import torch.nn
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