use crate::{LinearOp, Matrix, MatrixSparsityRef, NonLinearOp, NonLinearOpJacobian, Op};
use num_traits::Zero;
pub struct MatrixOp<M: Matrix> {
m: M,
}
impl<M: Matrix> MatrixOp<M> {
pub fn new(m: M) -> Self {
Self { m }
}
pub fn m_mut(&mut self) -> &mut M {
&mut self.m
}
pub fn m(&self) -> &M {
&self.m
}
}
impl<M: Matrix> Op for MatrixOp<M> {
type V = M::V;
type T = M::T;
type M = M;
type C = M::C;
fn nstates(&self) -> usize {
self.m.nrows()
}
fn nout(&self) -> usize {
self.m.ncols()
}
fn nparams(&self) -> usize {
0
}
fn context(&self) -> &Self::C {
self.m.context()
}
}
impl<M: Matrix> LinearOp for MatrixOp<M> {
fn gemv_inplace(&self, x: &Self::V, t: Self::T, beta: Self::T, y: &mut Self::V) {
self.m.gemv(t, x, beta, y);
}
fn sparsity(&self) -> Option<<Self::M as Matrix>::Sparsity> {
self.m.sparsity().map(|s| s.to_owned())
}
}
impl<M: Matrix> NonLinearOp for MatrixOp<M> {
fn call_inplace(&self, x: &Self::V, t: Self::T, y: &mut Self::V) {
self.m.gemv(t, x, Self::T::zero(), y);
}
}
impl<M: Matrix> NonLinearOpJacobian for MatrixOp<M> {
fn jac_mul_inplace(&self, _x: &Self::V, t: Self::T, v: &Self::V, y: &mut Self::V) {
self.m.gemv(t, v, Self::T::zero(), y);
}
fn jacobian(&self, _x: &Self::V, _t: Self::T) -> Self::M {
self.m.clone()
}
fn jacobian_inplace(&self, _x: &Self::V, _t: Self::T, y: &mut Self::M) {
y.copy_from(&self.m);
}
fn jacobian_sparsity(&self) -> Option<<Self::M as Matrix>::Sparsity> {
self.m.sparsity().map(|s| s.to_owned())
}
}