code: def test_output(self):
      class Model(chainer.Chain):
          def __init__(self):
              super().__init__()
              with self.init_scope():
                  self.l1 = L.Convolution2D(None, 16, 5, 1, 2)
                  self.l2 = L.Convolution2D(16, 8, 5, 1, 2)
  
          def forward(self, *xs, **kwxs):
              if kwxs:
                  h = F.vstack(list(kwxs.values()))
              elif len(xs) > 1:
                  h = F.vstack(xs)
              else:
                  h = xs[0]
              h2 = self.l1(h)
              h3 = F.relu(h2)
              h4 = self.l2(h3)
              return F.relu(h4)
  
      def check_input_shape(onnx_model, path):
          assert [
              v.type.tensor_type.shape.dim[0] == "b"
              for v in onnx_model.graph.input
          ]
          assert [
              v.type.tensor_type.shape.dim[0] == "b"
              for v in onnx_model.graph.output
          ]
  
      if isinstance(self.x_shape, tuple):
          xs = np.zeros(self.x_shape, dtype=np.float32)
      elif isinstance(self.x_shape, list):
          xs = tuple(
              np.zeros(shape, dtype=np.float32)
              for shape in self.x_shape
          )
      else:
          assert isinstance(self.x_shape, dict)
          xs = {
              k: np.zeros(shape, dtype=np.float32)
              for k, shape in self.x_shape.items()
          }
  
      name = "customized_input_shape"
      if hasattr(self, "condition"):
          name += "_{}".format(self.condition)
  
      self.expect(
          Model(),
          xs,
          name=name,
          input_shapes=self.shape_option,
          custom_model_test_func=check_input_shape,
      )
  
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 TestCustomizedInputShape obj's underlying member method code with example usage: obj.test_output() and returns: F