code: def setUp(self):
      model = DummySemanticSegmentationModel(self.n_class)
      if self.class_weight:
          self.class_weight = [0.1 * i for i in range(self.n_class)]
      self.link = PixelwiseSoftmaxClassifier(
          model, self.ignore_label, self.class_weight
      )
      self.x = np.random.rand(2, 3, 16, 16).astype(np.float32)
      self.t = np.random.randint(self.n_class, size=(2, 16, 16)).astype(
          np.int32
      )
  
file_path: chainercv/tests/links_tests/model_tests/test_pixelwise_softmax_classifier.py
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links import PixelwiseSoftmaxClassifier
label_desc: Use image node_id 1 for calling the TestPixelwiseSoftmaxClassifier obj's underlying member method code with example usage: obj.setUp() without return types