code: def test_sgd_sixstep(self):
      np.random.seed(1337)
      model = TinyBobNet()
      optimizer = optim.SGD(model.parameters(), lr=0.001)
      train(
          model,
          X_train,
          Y_train,
          optimizer,
          BS=69,
          steps=6,
          noloss=True,
      )
  
imports: import unittest
  import numpy
  from tinygrad.nn.state import get_parameters
  from tinygrad.tensor import Tensor
  from tinygrad.nn import optim, BatchNorm2d
  from extra.training import train, evaluate
  from extra.datasets import fetch_mnist
label_desc: Use image node_id 3 for calling the TestMNIST obj's underlying member method code with example usage: obj.test_sgd_sixstep() without return types