code: def compute_logits_abstract_method(self):
      context_features, example_features = self._ranker.transform(
          features=self.features, training=False
      )
      with self.assertRaisesRegexp(
          NotImplementedError,
          r"Calling an abstract method, "
          "tfr.keras.RankingNetwork.compute_logits().",
      ):
          network_lib.RankingNetwork.compute_logits(
              context_features=context_features,
              example_features=example_features,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v2
  from tensorflow_ranking.python.keras import network
label_desc: Use image node_id 3 for calling the BaseRankingNetworkTest obj's underlying member method code with example usage: obj.compute_logits_abstract_method() without return types