677e510defc66f33a7e6cfd3c4289c745ebe1964,tests/links_tests/update_tests/test_mpnn_update.py,,check_backward,#Any#Any#Any#Any#,111

Before Change

    
    atom = chainer.Variable(atom_data)
    adj = chainer.Variable(adj_data)
    update.reset_state()
    y = update(atom, adj)
    y.grad = y_grad
    y.backward()

After Change

    def f(*args, **kwargs):
        update.reset_state()
        return update(*args, **kwargs)
    gradient_check.check_backward(
        f, (atom_data, adj_data), y_grad, atol=1e-1, rtol=1e-1)


def test_backward_cpu(update, data):
    // type: (MPNNUpdate, Tuple[numpy.ndarray, numpy.ndarray, numpy.ndarray, numpy.ndarray]) -> None  // NOQA

Instances