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)
    precision, update_op = metrics.streaming_precision(
        predictions, labels)

    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_precision = precision.eval()
      for _ in range(10):
        self.assertEqual(initial_precision, precision.eval())