code: def check(self, x):
      out = self.link.predict(x)
      if self.one_output:
          self.assertEqual(out.shape, (self.x.shape[0],) + self.shape_0)
          self.assertIsInstance(out, np.ndarray)
      else:
          out_0, out_1 = out
          self.assertEqual(
              out_0.shape, (self.x.shape[0],) + self.shape_0
          )
          self.assertEqual(
              out_1.shape, (self.x.shape[0],) + self.shape_1
          )
          self.assertIsInstance(out_0, np.ndarray)
          self.assertIsInstance(out_1, np.ndarray)
  
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 2 for calling the TestFeaturePredictorPredict obj's underlying member method code with example usage: obj.check(x) without return types