Type of train_labels and train_data in CIFAR10 are <type ‘list’> and <type ‘numpy.ndarray’> respectively. While they are <class ‘torch.LongTensor’> and <class ‘torch.ByteTensor’>  in MNIST. Why did you choose different types for different datasets? Both is fine of course, I just wanted to know if there is any specific reason for these choices.
Thanks.