code: def check_predict(self):
      x1 = numpy.random.uniform(0, 255, (320, 240, 3)).astype(
          numpy.uint8
      )
      x2 = numpy.random.uniform(0, 255, (320, 240)).astype(numpy.uint8)
      result = self.link.predict([x1, x2], oversample=False)
      y = cuda.to_cpu(result.data)
      assert y.shape == (2, 1000)
      assert y.dtype == self.dtype
      result = self.link.predict([x1, x2], oversample=True)
      y = cuda.to_cpu(result.data)
      assert y.shape == (2, 1000)
      assert y.dtype == self.dtype
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer.links.model.vision import googlenet
  from chainer.links.model.vision import resnet
  from chainer.links.model.vision import vgg
  from chainer import testing
  from chainer.testing import attr
  from chainer.variable import Variable
label_desc: Use image node_id 11 for calling the TestVGGs obj's underlying member method code with example usage: obj.check_predict() without return types