2b61ba08f09b39f3200659178ace8fa38421af29,art/classifiers/detector_classifier_unittest.py,TestDetectorClassifier,test_class_gradient,#TestDetectorClassifier#,99

Before Change

        self.assertTrue(np.sum(grads) != 0)

        // Test logits = True and label = array
        label = np.random.randint(11, size=NB_TEST)
        grads = dc.class_gradient(x=x_test, logits=True, label=label)

        self.assertTrue(np.array(grads.shape == (NB_TEST, 1, 1, 28, 28)).all())
        self.assertTrue(np.sum(grads) != 0)

After Change

            for i2 in range(grads.shape[2]):
                for i3 in range(grads.shape[3]):
                    for i4 in range(grads.shape[4]):
                        result = self._derivative(x_test, i1, i2, i3, i4, True)
                        print(np.sum(result), np.sum(grads[:, i1, i2, i3, i4]))
                        self.assertAlmostEqual(np.sum(result), np.sum(grads[:, i1, i2, i3, i4]))

                        //for i in range(grads.shape[0]):
                        //    print(result[i], grads[i, i1, i2, i3, i4])

Instances