code: def __call__(self, graph_wrappers, inputs):
      feature = self.ernie_pool(graph_wrappers[0].node_feat["term_ids"])
  
      for i in range(self.config.num_layers):
          feature = graphsage_sum(
              feature,
              graph_wrappers[i],
              self.config.hidden_size,
              "graphsage_sum_%s" % i,
              None,
          )
  
      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 ERNIESageV1Encoder obj's underlying member method code with example usage: obj.__call__(graph_wrappers, inputs) and returns: final_feats