code: def setUp(self):
      class Model(chainer.Chain):
          def __init__(self, ops, args, input_argname):
              super(Model, self).__init__()
              self.ops = ops
              self.args = args
              self.input_argname = input_argname
  
          def __call__(self, x):
              self.args[self.input_argname] = x
              return self.ops(**self.args)
  
      # (batch, channel, height, width) = (1, 1, 2, 2)
      self.x = np.array([[[[64, 32], [64, 32]]]], np.float32)
  
      # 2x upsampling
      args = {"output_shape": (4, 4)}
      self.model = Model(F.resize_images, args, "x")
  
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 TestResizeImages obj's underlying member method code with example usage: obj.setUp() and returns: self