code: def load(self, sess=None):
      if not sess:
          raise AttributeError("TensorFlow session not provided.")
      saver = tf.train.Saver(self.vars)
      save_path = "tmp/%s.ckpt" % self.name
      saver.restore(sess, save_path)
      print("Model restored from file: %s" % save_path)
  
imports: from collections import namedtuple
  import tensorflow
  import math
  import graphsage.layers
  import graphsage.metrics
  from .prediction import BipartiteEdgePredLayer
  from .aggregators import MeanAggregator, MaxPoolingAggregator, MeanPoolingAggregator, SeqAggregator, GCNAggregator
label_desc: Use image node_id 8 for calling the Model obj's underlying member method code with example usage: obj.load(sess) without return types