I tried to pass a list of indices to the dataset however the __getitem__ function in my custom dataset The list of indices is from BatchSampler. But I’m getting a Type Error list indices must be integers or slices, not list when running the code.
How do I solve this issue?
class MyData(Dataset):
    def __init__(self, data, transform = None):
        self.data = data
        self.transform = transform

    def __getitem__(self, index):

        img, label = self.data[index]  #<------ The error occurs here

        if self.transform is not None:
            img = self.transform(img)
        return img, label


    def __len__(self):
        return len(self.data)


training_set = MyData(trainset,transform = train_aug)
sampler = torch.utils.data.sampler.BatchSampler(
    torch.utils.data.sampler.RandomSampler(training_set),
    batch_size=10,
    drop_last=False)

trainloader = DataLoader(
    training_set,
    sampler=sampler)