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《深度学习之PyTorch实战计算机视觉》全书代码
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Chapter-7 #3

Closed Zehui-Lin closed 5 years ago

Zehui-Lin commented 5 years ago

迁移VGG16部分 running_loss = 0.0 running_corrects = 0 for batch, data in enumerate(dataloader[phase], 1):

    X, y = data
    if Use_gpu:
        X, y = Variable(X.cuda()), Variable(y.cuda())
    else:
        X, y = Variable(X), Variable(y)

    y_pred = model(X)
    _, pred = torch.max(y_pred.data, 1)
    optimizer.zero_grad()
    loss = loss_f(y_pred, y)

    if phase == "train":
        loss.backward()
        optimizer.step()
        running_loss += loss.data[0]
        running_corrects += torch.sum(pred == y.data)

        if batch%500 == 0 and phase =="train":
            print("Batch {}, Train Loss:{:.4f}, Train ACC:{:.4f}".format(batch, running_loss/batch, 100*running_corrects(16*batch)))

epoch_loss = running_loss*16/len(image_datasets[phase])
epoch_acc = 100*running_corrects/len(image_datasets[phase])
print("{} Loss:{:.4f} Acc:{:.4f}%".format(phase, epoch_loss,epoch_acc))

这些行前面全部少了一个缩进

Zehui-Lin commented 5 years ago

image 这里是jupter的截图,这里的缩进也有问题,PS:书上对应部分没有问题

Zehui-Lin commented 5 years ago

image 此处少了一个/号

JaimeTang commented 5 years ago

谢谢您提出来的错误,已经进行了修正。