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 .layers import *
  from .metrics import *
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