code: def call(self, inputs):
      return tf.concat(
          [attention(inputs) for attention in self.attentions], 1
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tf_euler.python.utils import layers
label_desc: Use image node_id 2 for calling the AttentionAggregator obj's underlying member method code with example usage: obj.call(inputs) and returns: tf