敲完下面代码我就不知道该怎么办了,想知道如何把这一万个数据进行划分?
import torch
import torchvision
import torchvision.transforms as transforms
from sklearn.model_selection import train_test_split
transform = transforms.Compose([
transforms.Resize(256),
transforms.CenterCrop(224),
transforms.ToTensor(),
transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
])
Data = torchvision.datasets.CIFAR10(root='./data', train=False, download=True, transform=transform)