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def compute_l2_loss(self, w): return torch.square(w).sum() if __name__ == '__main__': # Set fixed random number seed torch.manual_seed(42) # Prepare CIFAR-10 dataset dataset = MNIST(os.getcwd(), download=True, transform=transforms.ToTensor()) trainloader = torch.utils.data.DataLoader(dataset,