We consider the 2-variable scalar function f(x)=exp(x1)(x^2_1 +x^2_2)^3 generate the computational graph of this expression (graph starts with c1 = x1, c2 = x2, and ends with f = c7) use forward mode differentiation to compute Vf (0, 2). Show your intermediate values on the graph. use reverse mode differentiation to compute the same gradient. Show your intermediate values (values of the adjoint variables c = af/aci). use the backward() method of pytorch to verify your answers. comment briefly on the computational effectiveness of forward vs reverse modes of computing these derivatives.