code: def __call__(self, graph_wrappers, inputs):
      feature = graph_wrappers[0].node_feat["term_ids"]
      feature = self.concat_aggregate(
          graph_wrappers[0], feature, "erniesage_v3_0"
      )
  
      final_feats = [
          self.take_final_feature(feature, i, "final_fc")
          for i in inputs
      ]
      return final_feats
  
imports: import os
  import json
  import numpy
  import pgl
  import paddle.fluid
  import paddle.fluid.layers
  from ernie import ErnieModel
  from pgl.utils.logger import log
label_desc: Use image node_id 1 for calling the ERNIESageV3Encoder obj's underlying member method code with example usage: obj.__call__(graph_wrappers, inputs) and returns: final_feats