se.py 文件源码

def test_normal(model, test_loader):

    test_loss = 0
    correct = 0
    for data, target in test_loader:
        if cuda:
            data, target = data.cuda(), target.cuda()
        data, target = Variable(data), Variable(target)
        output = model(data)
        test_loss += F.nll_loss(output, target).data[0]
        pred = output.data.max(1)[1]
        correct += pred.eq(target.data).cpu().sum()

    test_loss /= len(test_loader)
    print('\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\n'.format(
        test_loss, correct, len(test_loader.dataset),
        100 * correct / len(test_loader.dataset)))

    return test_loss