code: def get_model(self):
      class Model(chainer.Chain):
          def __init__(self):
              super().__init__()
              with self.init_scope():
                  self.l1 = L.Linear(4)
                  self.l2 = L.Linear(5, initial_bias=0.1)
  
          def __call__(self, x):
              y = self.l1(x)
              z = self.l2(y)
              return y, z
  
      return Model()
  
imports: import unittest
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import testing
  import numpy
  import pytest
  from onnx_chainer import export
  from onnx_chainer.export import RetainInputHook
  from onnx_chainer.testing import input_generator
  from onnx_chainer_tests.helper import ONNXModelTest
label_desc: Use image node_id 1 for calling the TestIntermediateOutput obj's underlying member method code with example usage: obj.get_model() and returns: Model, y,  z