jaime 2.3.1

j.a.i.m.e. is an ergonomic all purpose gradient descent engine
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33

use std::ops::{Add, AddAssign};

use crate::simd_arr::SimdArr;

use super::{check_nan, Dual};

impl<const P: usize, S: SimdArr<P>> Add<Dual<P, S>> for Dual<P, S> {
    type Output = Dual<P, S>;

    fn add(mut self, rhs: Dual<P, S>) -> Self::Output {
        self.real += rhs.real;
        self.sigma.acumulate(&rhs.sigma);

        check_nan(self)
    }
}

impl<const P: usize, S: SimdArr<P>> Add<f32> for Dual<P, S> {
    type Output = Dual<P, S>;

    fn add(mut self, rhs: f32) -> Self::Output {
        self.real += rhs;

        check_nan(self)
    }
}

impl<const P: usize, S: SimdArr<P>> AddAssign<Dual<P, S>> for Dual<P, S> {
    fn add_assign(&mut self, rhs: Self) {
        self.real += rhs.real;
        self.sigma.acumulate(&rhs.sigma);
    }
}