metric_ops_test.py 文件源码

def testValueTensorIsIdempotent(self):
    predictions = tf.random_uniform((10, 3), maxval=1, dtype=tf.int64, seed=1)
    labels = tf.random_uniform((10, 3), maxval=1, dtype=tf.int64, seed=1)
    recall, update_op = metrics.streaming_recall(
        predictions, labels)

    with self.test_session() as sess:
      sess.run(tf.local_variables_initializer())

      # Run several updates.
      for _ in range(10):
        sess.run(update_op)

      # Then verify idempotency.
      initial_recall = recall.eval()
      for _ in range(10):
        self.assertEqual(initial_recall, recall.eval())