对于cifar10半监督学习的unlabeled_loader输出的target是什么呀
class CIFAR10SSL(datasets.CIFAR10):
def __init__(self, root, indexs, train=True,
transform=None, target_transform=None,
download=False):
super().__init__(root, train=train,
transform=transform,
target_transform=target_transform,
download=download)
if indexs is not None:
self.data = self.data[indexs]
self.targets = np.array(self.targets)[indexs]
def __getitem__(self, index):
img, target = self.data[index], self.targets[index]
img = Image.fromarray(img)
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
train_unlabeled_dataset = CIFAR10SSL(
root, train_unlabeled_idxs, train=True,
transform=TransformFixMatch(mean=cifar10_mean, std=cifar10_std))