Kernel regression with monotonicity constraints

I need to fit a bivariate data using kernel regression (local polynomial regression). It should satisfies two conditions.

• $\frac{dy}{dx_1} \geq 0$ for all $x_2$

• $\frac{dy}{dx_2} \geq 0$ for all $x_1$

How can I incorporate these two conditions into local polynomial regression?