def load_data():
    ImageFile.LOAD_TRUNCATED_IMAGES = True

    device = torch.device('cuda:0') if torch.cuda.is_available() else torch.device('cpu')
    print("Running on {}".format(device))
    data_transform = transforms.Compose([
            transforms.RandomResizedCrop(crop),
            transforms.RandomHorizontalFlip(),
            transforms.ToTensor(),
            transforms.Normalize(mean=mean,
                                std=std)
        ])
    dataset = datasets.ImageFolder(root=current_dir,
                                   transform=data_transform
                                   )

    print("Size of dataset is ",len(dataset))

    Ntrain = int(len(dataset) * cutoff)
    dataset = shuffle(dataset)
    train_data, test_data = dataset[:Ntrain], dataset[Ntrain:]

    train_loader = torch.utils.data.DataLoader(train_data,
                                                batch_size=batch_size,
                                                shuffle=True,
                                                num_workers=workers
                                                ).to(device)

    test_loader  = torch.utils.data.DataLoader(test_data,
                                                batch_size=batch_size,
                                                shuffle=True,
                                                num_workers=workers
                                                ).to(device)
    return train_loader, test_loader

after I was loading data into DataLoader it was generated the following error. In my dataset I had currupted image named 666.jpg. How to fix this issue.Thank you.
error msg:
“cannot identify image file %r” % (filename if filename else fp)
PIL.UnidentifiedImageError: cannot identify image file <_io.BufferedReader name=‘E:\My Projects\Cat-vs-Dog-Image-Classifier-Differnet-Models-with-Pytroch\Data\Cat\666.jpg’>