code: def test_caffe_export_model(self):
      class Model(chainer.Chain):
          def __init__(self):
              super(Model, self).__init__()
              with self.init_scope():
                  self.l1 = L.Convolution2D(None, 1, 1, 1, 0, groups=1)
                  self.b2 = L.BatchNormalization(1, eps=1e-2)
                  self.l3 = L.Deconvolution2D(
                      None, 1, 1, 1, 0, groups=1
                  )
                  self.l4 = L.Linear(None, 1)
  
          def forward(self, x):
              h = F.relu(self.l1(x))
              h = self.b2(h)
              h = self.l3(h)
              return self.l4(h)
  
      assert_export_import_match(Model(), self.x)
  
imports: import os
  import unittest
  import warnings
  import numpy
  import chainer
  import chainer.functions
  import chainer.links
  from chainer import testing
label_desc: Use image node_id 2 for calling the TestCaffeExport obj's underlying member method code with example usage: obj.test_caffe_export_model() and returns: self