code: def test_output(self):
      class Model(chainer.Chain):
          def __init__(self, ops, kwargs):
              super(Model, self).__init__()
              self.ops = getattr(F, ops)
              self.kwargs = kwargs
  
          def __call__(self, *xs):
              return self.ops(xs, **self.kwargs)
  
      model = Model(ops=self.ops, kwargs=self.kwargs)
      if hasattr(self, "inputs"):
          xs = [
              np.array(value, dtype=np.float32) for value in self.inputs
          ]
      else:
          xs = [
              input_generator.increasing(*shape)
              for shape in self.in_shapes
          ]
  
      self.expect(model, xs, name=self.name)
  
imports: import chainer
  import chainer.functions
  from chainer import testing
  import numpy
  import onnx
  import pytest
  from onnx_chainer import export
  from onnx_chainer.testing import input_generator
  from onnx_chainer_tests.helper import ONNXModelChecker
  from onnx_chainer_tests.helper import ONNXModelTest
label_desc: Use image node_id 1 for calling the TestStack obj's underlying member method code with example usage: obj.test_output() and returns: self