Torque3D/Engine/source/math/impl/float3_impl.inl
marauder2k7 bc3145bc55 matrix functions
most matrix functions are converted over, no benefit to converting over the project/ortho because they would be scalar anyway but may need to move them regardless.
2026-03-05 18:55:36 +00:00

123 lines
3.3 KiB
C++

#pragma once
#include <cmath> // for sqrtf, etc.
#include "../mConstants.h"
// Safely loads a float3 -> simd 4 lane backend
namespace math_backend::float3
{
//----------------------------------------------------------
// Add two float4 vectors: r = a + b
inline void float3_add_impl(const float* a, const float* b, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vr = v_add(va, vb);
v_store3(r, vr);
}
// Subtract: r = a - b
inline void float3_sub_impl(const float* a, const float* b, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vr = v_sub(va, vb);
v_store3(r, vr);
}
// Multiply element-wise: r = a * b
inline void float3_mul_impl(const float* a, const float* b, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vr = v_mul(va, vb);
v_store3(r, vr);
}
// Multiply by scalar: r = a * s
inline void float3_mul_scalar_impl(const float* a, float s, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vs = v_set1(s);
f32x4 vr = v_mul(va, vs);
v_store3(r, vr);
}
// Divide element-wise: r = a / b
inline void float3_div_impl(const float* a, const float* b, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vr = v_div(va, vb);
v_store3(r, vr);
}
// Divide by scalar: r = a / s
inline void float3_div_scalar_impl(const float* a, float s, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vs = v_set1(s);
f32x4 vr = v_div(va, vs);
v_store3(r, vr);
}
// Dot product: returns scalar
inline float float3_dot_impl(const float* a, const float* b)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vdot = v_dot3(va, vb);
return v_extract0(vdot); // first lane is the sum of 3 elements
}
// Length squared
inline float float3_length_squared_impl(const float* a)
{
return float3_dot_impl(a, a);
}
// Length
inline float float3_length_impl(const float* a)
{
return std::sqrt(float3_length_squared_impl(a));
}
// Normalize in-place
inline void float3_normalize_impl(float* a)
{
f32x4 va = v_load3_vec(a);
f32x4 invLen = v_rsqrt_nr(v_dot3(va, va)); // fully abstracted
f32x4 vnorm = v_mul(va, invLen);
v_store3(a, vnorm);
}
// Normalize with magnitude: r = normalize(a) * r
inline void float3_normalize_mag_impl(float* a, float r)
{
f32x4 va = v_load3_vec(a);
// invLen = r / sqrt(dot(a,a)) = r * rsqrt(dot(a,a))
f32x4 invLen = v_mul(v_set1(r), v_rsqrt_nr(v_dot3(va, va)));
f32x4 vnorm = v_mul(va, invLen);
v_store3(a, vnorm);
}
// Linear interpolation: r = from + (to - from) * f
inline void float3_lerp_impl(const float* from, const float* to, float f, float* r)
{
f32x4 vfrom = v_load3_vec(from);
f32x4 vto = v_load3_vec(to);
f32x4 vf = v_set1(f);
f32x4 vr = v_add(vfrom, v_mul(vf, v_sub(vto, vfrom)));
v_store3(r, vr);
}
inline void float3_cross_impl(const float* a, const float* b, float* r)
{
f32x4 va = v_load3_vec(a);
f32x4 vb = v_load3_vec(b);
f32x4 vcross = v_cross(va, vb);
v_store3(r, vcross);
}
}