677e510defc66f33a7e6cfd3c4289c745ebe1964,tests/links_tests/update_tests/test_ggnn_update.py,,check_backward,#Any#Any#Any#Any#,88

Before Change

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

    def f():
        update.reset_state()
        return update(atom_data, adj_data).data,

    gx, = gradient_check.numerical_grad(f, (atom.data, ), (y.grad, ))
    numpy.testing.assert_allclose(
        cuda.to_cpu(gx), cuda.to_cpu(atom.grad), atol=1e-3, rtol=1e-3)
    return gx

After Change

        update.reset_state()
        return update(atom_data, adj_data)

    gradient_check.check_backward(
        f, (atom_data), y_grad, atol=1e-1, rtol=1e-1)


def test_backward_cpu(update, data):
    atom_data, adj_data, y_grad = data

Instances