code: def setUp(self):
      self.link = FeaturePredictor(
          DummyFeatureExtractor(
              self.in_channels, self.shape_0, self.shape_1
          ),
          crop_size=5,
          crop=self.crop,
      )
      self.x = np.random.uniform(
          size=(3, self.in_channels, 32, 32)
      ).astype(np.float32)
  
      self.one_output = self.shape_1 is None
  
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links import FeaturePredictor
label_desc: Use image node_id 1 for calling the TestFeaturePredictorPredict obj's underlying member method code with example usage: obj.setUp() without return types