Zdot.set([2 * x * xdot + ydot, y * xdot + x * ydot])
def adj(self, (X, ), (Y, ), seeds, sens):
assert (max_adj)
x = X[0]
y = X[1]
Y.set([x**2 + y, x * y])
for ((Y_bar, ), (X_bar, )) in zip(seeds, sens):
xb = Y_bar[0]
yb = Y_bar[1]
X_bar.set([2 * x * xb + y * yb, xb + x * yb])
c = PyFunction(Squares(), [Sparsity.dense(2, 1)],
[Sparsity.dense(2, 1)])
if max_fwd and max_adj:
c.setOption("ad_mode", "automatic")
elif max_adj:
c.setOption("ad_mode", "reverse")
elif max_fwd:
c.setOption("ad_mode", "forward")
c.init()
if not indirect:
c.setInput([0.2, 0.6], 0)
return c
f = MXFunction([x], c.call([x]))
f.init()
f.setInput([0.2, 0.6], 0)
ydot = Xdot[1]
Zdot.set([2*x*xdot+ydot,y*xdot+x*ydot])
def adj(self,(X,),(Y,),seeds,sens):
assert(max_adj)
x = X[0]
y = X[1]
Y.set([x**2+y,x*y])
for ((Y_bar,),(X_bar,)) in zip(seeds,sens):
xb = Y_bar[0]
yb = Y_bar[1]
X_bar.set([2*x*xb+y*yb,xb+x*yb])
c = PyFunction(Squares(),[Sparsity.dense(2,1)], [Sparsity.dense(2,1)])
if max_adj and not max_fwd:
c.setOption("ad_weight", 1)
elif max_fwd and not max_adj:
c.setOption("ad_weight", 0)
c.init()
if not indirect:
c.setInput([0.2,0.6],0)
return c
f = MXFunction([x],c.call([x]))
f.init()
f.setInput([0.2,0.6],0)
return f
ydot = Xdot[1]
Zdot.set([2*x*xdot+ydot,y*xdot+x*ydot])
def adj(self,(X,),(Y,),seeds,sens):
assert(max_adj)
x = X[0]
y = X[1]
Y.set([x**2+y,x*y])
for ((Y_bar,),(X_bar,)) in zip(seeds,sens):
xb = Y_bar[0]
yb = Y_bar[1]
X_bar.set([2*x*xb+y*yb,xb+x*yb])
c = PyFunction(Squares(),[Sparsity.dense(2,1)], [Sparsity.dense(2,1)])
if max_fwd and max_adj:
c.setOption("ad_mode","automatic")
elif max_adj:
c.setOption("ad_mode","reverse")
elif max_fwd:
c.setOption("ad_mode","forward")
c.init()
if not indirect:
c.setInput([0.2,0.6],0)
return c
f = MXFunction([x],c.call([x]))
f.init()
f.setInput([0.2,0.6],0)