code: def test_call_none_context_feature_columns(self):
      network = gam.GAMRankingNetwork(
          context_feature_columns=None,
          example_feature_columns=self.example_feature_columns,
          example_hidden_layer_dims=["10", "10"],
          context_hidden_layer_dims=["10", "10"],
          activation=tf.nn.relu,
          dropout=0.5,
          name="gam_ranking_model",
      )
      logits = network(
          inputs=self.features, mask=[[True, False], [True, True]]
      )
      self.assertAllEqual([2, 2], logits.get_shape().as_list())
  
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 losses
  from tensorflow_ranking.python.keras import metrics
  from tensorflow_ranking.python.keras import model
  from tensorflow_ranking.python.keras.canned import gam
label_desc: Use image node_id 5 for calling the GAMRankingNetworkTest obj's underlying member method code with example usage: obj.test_call_none_context_feature_columns() without return types