求助：torchvision框架处理cifar10数据集出错

Question

1.在运行ganomaly模型的训练文件train.py时出错，按照报错信息应该是在对cifar10数据集进行处理时出错。具体报错截图如下：

\n

2.报错信息中的data.py程序具体如下：

"""
LOAD DATA from file.
"""

# pylint: disable=C0301,E1101,W0622,C0103,R0902,R0915

##
import os
import torch
import numpy as np
import torchvision.datasets as datasets
from torchvision.datasets import MNIST
from torchvision.datasets import CIFAR10
from torchvision.datasets import ImageFolder
import torchvision.transforms as transforms

##
def load_data(opt):
    """ Load Data

    Args:
        opt ([type]): Argument Parser

    Raises:
        IOError: Cannot Load Dataset

    Returns:
        [type]: dataloader
    """
······

        dataset['train'].train_data, dataset['train'].train_labels, \
        dataset['test'].test_data, dataset['test'].test_labels = get_cifar_anomaly_dataset(
            trn_img=dataset['train'].train_data,
            trn_lbl=dataset['train'].train_labels,
            tst_img=dataset['test'].test_data,
            tst_lbl=dataset['test'].test_labels,
            abn_cls_idx=classes[opt.anomaly_class]
        )

   ······


##
def get_cifar_anomaly_dataset(trn_img, trn_lbl, tst_img, tst_lbl, abn_cls_idx=0, manualseed=-1):


3.是否是因为在调用get_cifar_anomaly_dataset（）函数时传入的四个参数在之前没有定义？