def hessian_tensor_product(fun, argnum=0):
    """Builds a function that returns the exact Hessian-tensor product.
    The returned function has arguments (*args, tensor, **kwargs), and for
    vectors takes roughly 4x as long to evaluate as the original function."""
    fun_grad = grad(fun, argnum)
    def vector_dot_grad(*args, **kwargs):
        args, vector = args[:-1], args[-1]
        return np.tensordot(fun_grad(*args, **kwargs), vector, np.ndim(vector))
    return grad(vector_dot_grad, argnum)