code: def pre_fea_learn(self, input):
      pre_fea = self.pre_fea_transfer.forward(
          input.unsqueeze(0)
      ).squeeze(0)
      return self.pre_fea.data + pre_fea
  
imports: import torch
  from .None import graph
  import torch.nn
  import torch.nn.functional
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 3 for calling the Featuremaps_to_Graph_transfer obj's underlying member method code with example usage: obj.pre_fea_learn(input) and returns: unknown