code: def setUpClass(cls):
      cls.X, cls.Y = get_mnist_data()
  
file_path: tinygrad/test/models/test_end2end.py
imports: import torch
  from torch import nn
  import unittest
  import numpy
  from tinygrad.nn.state import get_parameters, get_state_dict
  from tinygrad.nn import optim, Linear, Conv2d, BatchNorm2d
  from tinygrad.tensor import Tensor
  from extra.datasets import fetch_mnist
  from tinygrad.helpers import CI
label_desc: Use image node_id 1 for calling the TestEnd2End obj's underlying member method code with example usage: obj.setUpClass(cls) without return types