def test_functional_none(self):
actual = acc(self.predictions, self.targets, reduction='none')
self.assertEqual(self.targets.shape, actual.shape)
self.assertTrue(
torch.all(
100. *
(self.label_predictions == self.targets).float() == actual))
def test_functional_on_gpu(self):
actual = acc(self.predictions.cuda(), self.targets.cuda())
self.assertEqual((), actual.shape)
np.testing.assert_almost_equal(self.accuracy, actual.cpu())
def test_functional_sum(self):
actual = acc(self.predictions, self.targets, reduction='sum')
self.assertEqual((), actual.shape)
np.testing.assert_almost_equal(self.accuracy * len(self.predictions),
actual)
def test_functional(self):
actual = acc(self.predictions, self.targets)
self.assertEqual((), actual.shape)
np.testing.assert_almost_equal(self.accuracy, actual)
def test_functional_ignore_index_with_valid_index(self):
actual = acc(self.predictions, self.targets, ignore_index=1)
self.assertEqual((), actual.shape)
np.testing.assert_almost_equal(20., actual)
def test_functional_ignore_index_with_different_value(self):
actual = acc(self.predictions, self.targets, ignore_index=-1)
self.assertEqual((), actual.shape)
self.assertAlmostEqual(1 / 3 * 100, float(actual), places=5)
def test_functional_none(self):
actual = acc(self.predictions, self.targets, reduction='none')
self.assertEqual(self.targets.shape, actual.shape)
self.assertTrue(torch.all(self.accuracy_none == actual))