import tensorflow as tf

        return a + b

      outputs = []
      for _ in xrange(1000):
        outputs.append(f(tf.ones([1, 100000]), tf.ones([1, 100000])))
      op_to_benchmark = tf.group(*outputs)

      tf.train.start_queue_runners()
