code: def check_call(self, model, imgs, masks, labels, scale):
      bboxes = mask_to_bbox(masks[0])[None]
      loss = model(imgs, masks, labels, bboxes, scale)
      self.assertEqual(loss.shape, ())
  
imports: import numpy
  import unittest
  import chainer
  from chainer.backends import cuda
  from chainer import testing
  from chainer.testing import attr
  from chainercv.experimental.links import FCISResNet101
  from chainercv.experimental.links.model.fcis import FCISTrainChain
  from chainercv.utils import mask_to_bbox
  from tests.experimental_tests.links_tests.model_tests.fcis_tests.test_fcis import _random_array
label_desc: Use image node_id 2 for calling the TestFCISResNet101Loss obj's underlying member method code with example usage: obj.check_call(model, imgs, masks, labels, scale) without return types