code: def call(self, features, summary):
      features = tf.matmul(
          features, tf.matmul(self.weight, tf.expand_dims(summary, -1))
      )
      return features
  
imports: import math
  import numpy
  import tensorflow
  from gcn import GCN
  from tensorflow.keras import layers
label_desc: Use image node_id 2 for calling the Discriminator obj's underlying member method code with example usage: obj.call(features, summary) and returns: features