code: def get_mnist():
      
  
      np.random.seed(1234) # set seed for deterministic ordering
      mnist_data = mx.test_utils.get_mnist()
      X = np.concatenate([mnist_data['train_data'], mnist_data['test_data']])
      Y = np.concatenate([mnist_data['train_label'], mnist_data['test_label']])
      p = np.random.permutation(X.shape[0])
      X = X[p].reshape((X.shape[0], -1)).astype(np.float32)*5
      Y = Y[p]
      return X, Y
docs: Gets MNIST dataset