code: def recv_func(self, feat):
      return fluid.layers.sequence_pool(feat, pool_type="average")
  
imports: import os
  import re
  import time
  from random import random
  from functools import reduce, partial
  import numpy
  import multiprocessing
  import paddle
  import paddle.fluid
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.graph_wrapper import GraphWrapper
  from pgl.layers.conv import gcn, gat
  from pgl.utils import paddle_helper
label_desc: Use image node_id 7 for calling the GraphSageModel obj's underlying member method code with example usage: obj.recv_func(feat) and returns: fluid