2f0ba3e65cfa36b43bc87b315733fd3f3585e430,tests/ignite/metrics/test_accuracy.py,,test_multilabel_input_NHW,#,546

Before Change

        assert accuracy_score(np_y, np_y_pred) == pytest.approx(acc.compute())

    // check multiple random inputs as random exact occurencies are rare
    for _ in range(10):
        _test()


def test_incorrect_type():
    acc = Accuracy()

    // Start as binary data

After Change

    test_cases = [
        // Multilabel input data of shape (N, C, H, W, ...) and (N, C, H, W, ...)
        (torch.randint(0, 2, size=(4, 5, 12, 10)), torch.randint(0, 2, size=(4, 5, 12, 10)).long(), 1),
        (torch.randint(0, 2, size=(4, 10, 12, 8)).long(), torch.randint(0, 2, size=(4, 10, 12, 8)).long(), 1),
        (torch.randint(0, 2, size=(100, 5, 12, 10)), torch.randint(0, 2, size=(100, 5, 12, 10)).long(), 16),
    ]
    for y_pred, y, batch_size in test_cases:
        // check multiple random inputs as random exact occurencies are rare
        for _ in range(10):
            _test(y_pred, y, batch_size)


def test_incorrect_type():
    acc = Accuracy()

    // Start as binary data

Instances