因为cifar-10数据集在原地址下载速度很慢，所以在网上找百度网盘链接下载，后将压缩包放到指定目录，运行代码出错

报错详情：

Traceback (most recent call last):

  File "C:\Users\Administrator\Documents\python\train.py", line 26, in <module>
    download=False,transform = transform)

  File "E:\Anaconda3\lib\site-packages\torchvision\datasets\cifar.py", line 61, in __init__
    raise RuntimeError('Dataset not found or corrupted.' +

RuntimeError: Dataset not found or corrupted. You can use download=True to download it`

代码展示

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F
from model import LeNet
import torch.optim as optim
import torchvision.transforms as transforms
import matplotlib.pyplot as plt
import numpy as np

transform = transforms.Compose(
    [
     transforms.ToTensor(),
     transforms.Normalize((0.5,0.5,0.5),(0.5,0.5,0.5))
     ])
# 下载CIFAR10数据集
trainset = torchvision.datasets.CIFAR10(root='./datasets',train=True,
                                        download=False,transform = transform)
# 加载数据集
trainloader = torch.utils.data.DataLoader(trainset, batch_size=36,shuffle=True,num_workers=0)


# 下载测试集
testset = torchvision.datasets.CIFAR10(root='./datasets',train=False,
                                        download=False,transform=transform)
# 加载测试集
testloader = torch.utils.data.DataLoader(testset,batch_size=2,shuffle=True,num_workers=0)

解决办法：

将download=False改为download=True

原因

因为如果是压缩包的话，程序无法加载，所以需要解压，download=True时代码会自动检测相应目录下是否有文件，如果有，就不下载，并把文件解压