import torch import torch.nn as nn import torch.nn.functional as F import torchvision #This contains popular datasets, model architectures, and common image transformations for computer vision. import torchvision.transforms as transforms   ******************** BATCH_SIZE = 32 transform = transforms.Compose([transforms.ToTensor()]) ## download and load training dataset trainset = torchvision.datasets.MNIST(root='./data', train=True, download=True, transform=transform) trainloader = torch.utils.data.DataLoader(trainset, batch_size=BATCH_SIZE,shuffle=True, num_workers=2) ## download and load testing dataset ## **** WRITE CODE TO DOWNLOAD AND LOAD TESTING DATA ***

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