'multiprocessing.spawn' has no attribute 'get_preparation_data'

import torch
import torchvision
import torchvision.transforms as transforms
transform = transforms.Compose(
 [transforms.ToTensor(), transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
trainset = torchvision.datasets.CIFAR10(root='./data', train=True,
 download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=4,
 shuffle=True, num_workers=2)
testset = torchvision.datasets.CIFAR10(root='./data', train=False,
 download=True, transform=transform)
testloader = torch.utils.data.DataLoader(testset, batch_size=4,
 shuffle=False, num_workers=2)
classes = ('plane', 'car', 'bird', 'cat',
 'deer', 'dog', 'frog', 'horse', 'ship', 'truck')
import matplotlib.pyplot as plt
import numpy as np
# functions to show an image
def imshow(img):
 img = img / 2 + 0.5 # unnormalize
 npimg = img.numpy()
 plt.imshow(np.transpose(npimg, (1, 2, 0)))
 plt.show()
# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
# show images
imshow(torchvision.utils.make_grid(images))
# print labels
print(' '.join('%5s' % classes[labels[j]] for j in range(4)))

确认一下版本有没有问题

看下这个文件有没有get_preparation_data这个函数，3.9的版本是有的，你看下的版本有没有