eb35ff439c3796d36c37bf27085b3a11d13ba7f5,tests/extensions_tests/evaluator_tests/test_instance_segmentation_coco_evaluator.py,TestInstanceSegmentationCOCOEvaluator,test_evaluate,#TestInstanceSegmentationCOCOEvaluator#,53

Before Change

        self.expected_ap = 1

    def test_evaluate(self):
        reporter = chainer.Reporter()
        reporter.add_observer("target", self.link)
        with reporter:
            mean = self.evaluator.evaluate()

        // No observation is reported to the current reporter. Instead the
        // evaluator collect results in order to calculate their mean.
        self.assertEqual(len(reporter.observation), 0)

        key = "ap/iou=0.50:0.95/area=all/max_dets=100"
        np.testing.assert_equal(

After Change

        np.testing.assert_equal(mean["target/{}/cls2".format(key)], np.nan)

    def test_evaluate(self):
        self._check_evaluate()

    @attr.mpi
    def test_evaluate_with_comm(self):
        comm = create_communicator("naive")

Instances