def METHOD_NAME(self):
    test_loss = AverageMeter()
    test_acc = AccuracyMeter()
    self.net.eval()
    with torch.no_grad():
        for data, label in self.test_loader:
            data = data.to(self.device)
            label = label.to(self.device)
            output = self.net(data)
            loss = F.cross_entropy(output, label)
            test_loss.update(loss.item(), data.size(0))
            test_acc.update(output, label)
    return test_loss.average, test_acc.accuracy