code: def forward(self, x):
      n, _, h, w = x.shape
      y = self.xp.random.rand(n, self.n_class, h, w).astype(np.float32)
      return chainer.Variable(y)
  
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 2 for calling the DummySemanticSegmentationModel obj's underlying member method code with example usage: obj.forward(x) and returns: chainer