ruda_kernel/dsl/frontend/
trigonometry.rs1use ruda_core::ir::{ManagedVariable, Variable};
2
3use crate::dsl::prelude::*;
4
5define_scalar!(ElemA);
6define_size!(SizeA);
7
8#[ruda]
13pub fn hypot<F: Float, N: Size>(lhs: Vector<F, N>, rhs: Vector<F, N>) -> Vector<F, N> {
14 let one = Vector::new(F::from_int(1));
15 let a = lhs.abs();
16 let b = rhs.abs();
17 let max_val = max(a, b);
18 let max_val_is_zero = max_val.equal(Vector::new(F::from_int(0)));
19 let max_val_safe = select_many(max_val_is_zero, one, max_val);
20 let min_val = min(a, b);
21 let t = min_val / max_val_safe;
22
23 max_val * fma(t, t, one).sqrt()
24}
25
26#[allow(missing_docs)]
27pub fn expand_hypot(scope: &mut Scope, lhs: Variable, rhs: Variable, out: Variable) {
28 scope.register_type::<ElemA>(lhs.ty.storage_type());
29 scope.register_size::<SizeA>(lhs.vector_size());
30 let res = hypot::expand::<ElemA, SizeA>(
31 scope,
32 ManagedVariable::Plain(lhs).into(),
33 ManagedVariable::Plain(rhs).into(),
34 );
35 assign::expand_no_check(scope, res, ManagedVariable::Plain(out).into());
36}
37
38#[ruda]
43pub fn rhypot<F: Float, N: Size>(lhs: Vector<F, N>, rhs: Vector<F, N>) -> Vector<F, N> {
44 let one = Vector::new(F::from_int(1));
45 let a = lhs.abs();
46 let b = rhs.abs();
47 let max_val = max(a, b);
48 let max_val_is_zero = max_val.equal(Vector::new(F::from_int(0)));
49 let max_val_safe = select_many(max_val_is_zero, one, max_val);
50 let min_val = min(a, b);
51 let t = min_val / max_val_safe;
52
53 fma(t, t, one).inverse_sqrt() / max_val
54}
55
56#[allow(missing_docs)]
57pub fn expand_rhypot(scope: &mut Scope, lhs: Variable, rhs: Variable, out: Variable) {
58 scope.register_type::<ElemA>(lhs.ty.storage_type());
59 scope.register_size::<SizeA>(lhs.vector_size());
60 let res = rhypot::expand::<ElemA, SizeA>(
61 scope,
62 ManagedVariable::Plain(lhs).into(),
63 ManagedVariable::Plain(rhs).into(),
64 );
65 assign::expand_no_check(scope, res, ManagedVariable::Plain(out).into());
66}