code: def forward(self, x):
      assert x.shape[1:] == (3, self._insize, self._insize)
      self._locs = self.xp.random.uniform(
          size=(x.shape[0], self._n_anchor, 4)
      ).astype(np.float32)
      self._objs = self.xp.random.uniform(
          size=(x.shape[0], self._n_anchor)
      ).astype(np.float32)
      self._confs = self.xp.random.uniform(
          size=(x.shape[0], self._n_anchor, self._n_fg_class)
      ).astype(np.float32)
      return (
          chainer.Variable(self._locs),
          chainer.Variable(self._objs),
          chainer.Variable(self._confs),
      )
  
imports: import mock
  import numpy
  import unittest
  import chainer
  from chainer.backends.cuda import to_cpu
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links.model.yolo import YOLOBase
  from chainercv.utils import assert_is_detection_link
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 2 for calling the DummyYOLO obj's underlying member method code with example usage: obj.forward(x) and returns: chainer,  chainer,  chainer