How to do constrained minimization in Pytorch?

I want to minimize an equation. The equation consists of elements which are all tensors.

f=alpha + (vnorm/2)

where, vnorm=norm(v)*norm(v)
v is a tensor vector of n*1 and alpha is a tensor of 1*1

Now I need to minimize f with respect to a contraint, that is–

(A @ v)+alpha<=0

where A is a tensor of 2*n.

How should I formulate the above equation and the the constraint to minimize the same ?