import tensorflow as tf

            # 'golden': (golden, tf.zeros([], tf.int32)),
            # 'predict': (predict, tf.zeros([], tf.int32))
        }

        for metric_name, op in metrics.items():
            tf.summary.scalar(metric_name, op[1])

        return metrics

    def call(self, embeddings, nwords):
