captcha.Pytorch项目的test.py有问题

Question

首先是test出错部分代码

def Test(model, dataLoader):
    totalNum = 0
    rightNum = 0
    badlist = []
    for circle, input in enumerate(dataLoader, 0):
        totalNum += 1
        x, label = input
        if t.cuda.is_available():
            x = x.cuda()
            label = label.cuda()
        temp = label.detach().cpu().numpy().astype(np.int32)
        realLabel = LabeltoStr(temp[0])
        #realLabel = LabeltoStr([label[0][0], label[0][1], label[0][2], label[0][3]])

        # realLabel = LabeltoStr(int(i) for i in label.squeeze().tolist())
        print(label)
        print(realLabel)
        y1, y2, y3, y4 = model(x)
        y1, y2, y3, y4 = y1.topk(1, dim=1)[1].view(1, 1), y2.topk(1, dim=1)[1].view(1, 1), \
                         y3.topk(1, dim=1)[1].view(1, 1), y4.topk(1, dim=1)[1].view(1, 1)
        y = t.cat((y1, y2, y3, y4), dim=1)
        # print(x,label,y)
        decLabel = LabeltoStr([y[0][0], y[0][1], y[0][2], y[0][3]])
        # decLabel = LabeltoStr(int(i) for i in y.squeeze().tolist())
        print("real: %s -> %s , %s" % (realLabel, decLabel, str(realLabel == decLabel)))
        if realLabel == decLabel:
            rightNum += 1
        else:
            badlist.append([realLabel,decLabel])

    for itm in badlist:
        print("False: ", itm[0], "=>", itm[1])
    print("\n total %s, right %s, wrong %s." % (totalNum, rightNum, totalNum-rightNum))

LabeltoStr函数如下：
def LabeltoStr(Label):
    Str = ""
    for i in Label:
        if i <= 9:
            Str += chr(ord('0') + i)
        elif i <= 35:
            Str += chr(ord('a') + i - 10)
        else:
            Str += chr(ord('A') + i - 36)
    return Str

报错截图

解决方法
把tensor转化成数据再转化成字符串
temp = label.detach().cpu().numpy().astype(np.int32)
realLabel = LabeltoStr(temp[0])
结果预测结果全为false,而且每个label都为test
tensor([[29., 14., 28., 29.]], device='cuda:0')
test
real: test -> hh22 , False
之后是train代码 ，最后准确率为0，测试集准确率也为0