metric_ops_test.py 文件源码

def testValueTensorIsIdempotent(self):
    predictions = tf.random_normal((10, 3), seed=1)
    labels = tf.random_normal((10, 3), seed=2)
    normalizer = tf.random_normal((10, 3), seed=3)
    error, update_op = metrics.streaming_mean_relative_error(
        predictions, labels, normalizer)

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

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

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