import tensorflow as tf


            tf.scalar_summary('loss', self.loss)

        with tf.name_scope('accuracy'):
            correct_prediction_action = tf.equal(
                tf.argmax(one_hot_labels_action, 1),
                tf.argmax(self.predictions_action, 1)
            )
            self.accuracy_action = tf.reduce_mean(tf.cast(correct_prediction_action, 'float'))
            tf.scalar_summary('accuracy_action', self.accuracy_action)

            correct_prediction_arguments = tf.equal(tf.argmax(one_hot_labels_arguments, 2),
