use crate::filter_op_declare::{Arena, MorthOpFilterFlat2DRow};
use crate::flat_se::AnalyzedSe;
use crate::morph_base::MorphNativeOp;
use crate::op_type::MorphOp;
use crate::unsafe_slice::UnsafeSlice;
use crate::ImageSize;
#[cfg(target_arch = "x86")]
use std::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use std::arch::x86_64::*;
#[derive(Clone)]
pub struct MorphOpFilterAvx2DRowU16<const OP_TYPE: u8> {}
impl<const OP_TYPE: u8> Default for MorphOpFilterAvx2DRowU16<OP_TYPE> {
fn default() -> Self {
MorphOpFilterAvx2DRowU16 {}
}
}
impl<T, const OP_TYPE: u8> MorthOpFilterFlat2DRow<T> for MorphOpFilterAvx2DRowU16<OP_TYPE>
where
T: Copy + 'static + MorphNativeOp<T>,
{
#[target_feature(enable = "avx2")]
unsafe fn dispatch_row(
&self,
arena: &Arena<T>,
dst: &UnsafeSlice<T>,
image_size: ImageSize,
analyzed_se: AnalyzedSe,
y: usize,
) {
let width = image_size.width;
let op_type: MorphOp = OP_TYPE.into();
let stride = width * arena.components;
let decision = match op_type {
MorphOp::Dilate => _mm_max_epu16,
MorphOp::Erode => _mm_min_epu16,
};
let decision_avx = match op_type {
MorphOp::Dilate => _mm256_max_epu16,
MorphOp::Erode => _mm256_min_epu16,
};
let src: &Vec<u16> = std::mem::transmute(&arena.arena);
let dst: &UnsafeSlice<u16> = std::mem::transmute(dst);
let dx = arena.pad_w as i32;
let dy = arena.pad_h as i32;
let total_width = arena.components * width;
let arena_stride = arena.width * arena.components;
let offsets = analyzed_se
.left_front
.element_offsets
.iter()
.map(|&x| {
src.get_unchecked(
((x.y + dy + y as i32) as usize * arena_stride + (x.x + dx) as usize)..,
)
})
.collect::<Vec<_>>();
let length = analyzed_se.left_front.element_offsets.iter().len();
let off0 = offsets.get_unchecked(0);
let mut cx = 0usize;
while cx + 64 < total_width {
let ptr0 = (*off0.get_unchecked(cx..)).as_ptr();
let mut row0 = _mm256_loadu_si256(ptr0 as *const __m256i);
let mut row1 = _mm256_loadu_si256(ptr0.add(16) as *const __m256i);
let mut row2 = _mm256_loadu_si256(ptr0.add(32) as *const __m256i);
let mut row3 = _mm256_loadu_si256(ptr0.add(48) as *const __m256i);
for i in 1..length {
let ptr_d = (*offsets.get_unchecked(i)).get_unchecked(cx..).as_ptr();
let new_row0 = _mm256_loadu_si256(ptr_d as *const __m256i);
let new_row1 = _mm256_loadu_si256(ptr_d.add(16) as *const __m256i);
let new_row2 = _mm256_loadu_si256(ptr_d.add(32) as *const __m256i);
let new_row3 = _mm256_loadu_si256(ptr_d.add(48) as *const __m256i);
row0 = decision_avx(row0, new_row0);
row1 = decision_avx(row1, new_row1);
row2 = decision_avx(row2, new_row2);
row3 = decision_avx(row3, new_row3);
}
let v_dst = dst.slice.as_ptr().add(y * stride + cx) as *mut u16;
_mm256_storeu_si256(v_dst as *mut __m256i, row0);
_mm256_storeu_si256(v_dst.add(16) as *mut __m256i, row1);
_mm256_storeu_si256(v_dst.add(32) as *mut __m256i, row2);
_mm256_storeu_si256(v_dst.add(48) as *mut __m256i, row3);
cx += 64;
}
while cx + 32 < total_width {
let ptr0 = (*off0.get_unchecked(cx..)).as_ptr();
let mut row0 = _mm256_loadu_si256(ptr0 as *const __m256i);
let mut row1 = _mm256_loadu_si256(ptr0.add(16) as *const __m256i);
for i in 1..length {
let ptr_d = (*offsets.get_unchecked(i)).get_unchecked(cx..).as_ptr();
let new_row0 = _mm256_loadu_si256(ptr_d as *const __m256i);
let new_row1 = _mm256_loadu_si256(ptr_d.add(16) as *const __m256i);
row0 = decision_avx(row0, new_row0);
row1 = decision_avx(row1, new_row1);
}
let v_dst = dst.slice.as_ptr().add(y * stride + cx) as *mut u16;
_mm256_storeu_si256(v_dst as *mut __m256i, row0);
_mm256_storeu_si256(v_dst.add(16) as *mut __m256i, row1);
cx += 16;
}
while cx + 16 < total_width {
let ptr0 = (*off0.get_unchecked(cx..)).as_ptr();
let mut row0 = _mm256_loadu_si256(ptr0 as *const __m256i);
for i in 1..length {
let ptr_d = (*offsets.get_unchecked(i)).get_unchecked(cx..).as_ptr();
let new_row0 = _mm256_loadu_si256(ptr_d as *const __m256i);
row0 = decision_avx(row0, new_row0);
}
let v_dst = dst.slice.as_ptr().add(y * stride + cx) as *mut u16;
_mm256_storeu_si256(v_dst as *mut __m256i, row0);
cx += 16;
}
while cx + 8 < total_width {
let ptr0 = (*off0.get_unchecked(cx..)).as_ptr();
let mut row0 = _mm_loadu_si128(ptr0 as *const __m128i);
for i in 1..length {
let ptr_d = (*offsets.get_unchecked(i)).get_unchecked(cx..).as_ptr();
let new_row0 = _mm_loadu_si128(ptr_d as *const __m128i);
row0 = decision(row0, new_row0);
}
let v_dst = dst.slice.as_ptr().add(y * stride + cx) as *mut u8;
_mm_storeu_si128(v_dst as *mut __m128i, row0);
cx += 8;
}
while cx + 4 < total_width {
let ptr0 = (*off0.get_unchecked(cx..)).as_ptr();
let mut row0 = _mm_loadu_si64(ptr0 as *const u8);
for i in 1..length {
let ptr_d = (*offsets.get_unchecked(i)).get_unchecked(cx..).as_ptr();
let new_row0 = _mm_loadu_si64(ptr_d as *const u8);
row0 = decision(row0, new_row0);
}
let v_dst = dst.slice.as_ptr().add(y * stride + cx) as *mut u8;
_mm_storeu_si64(v_dst, row0);
cx += 4;
}
for x in cx..total_width {
let mut k0 = *(*off0).get_unchecked(x);
for i in 1..length {
k0 = k0.op::<OP_TYPE>(*(*offsets.get_unchecked(i)).get_unchecked(x));
}
dst.write(y * stride + x, k0);
}
}
}