code: def test_adam_threestep(self):
      np.random.seed(1337)
      model = TinyBobNet()
      optimizer = optim.Adam(model.parameters(), lr=0.001)
      train(model, X_train, Y_train, optimizer, BS=69, steps=3)
  
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 5 for calling the TestMNIST obj's underlying member method code with example usage: obj.test_adam_threestep() without return types