fast_image_resize 6.0.0

Library for fast image resizing with using of SIMD instructions
Documentation 
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use core::arch::wasm32::*;

use crate::convolution::optimisations::Normalizer32;
use crate::pixels::U16x2;
use crate::{wasm32_utils, ImageView, ImageViewMut};

#[inline]
pub(crate) fn horiz_convolution(
    src_view: &impl ImageView<Pixel = U16x2>,
    dst_view: &mut impl ImageViewMut<Pixel = U16x2>,
    offset: u32,
    normalizer: &Normalizer32,
) {
    let dst_height = dst_view.height();

    let src_iter = src_view.iter_4_rows(offset, dst_height + offset);
    let dst_iter = dst_view.iter_4_rows_mut();
    for (src_rows, dst_rows) in src_iter.zip(dst_iter) {
        unsafe {
            horiz_convolution_four_rows(src_rows, dst_rows, normalizer);
        }
    }

    let yy = dst_height - dst_height % 4;
    let src_rows = src_view.iter_rows(yy + offset);
    let dst_rows = dst_view.iter_rows_mut(yy);
    for (src_row, dst_row) in src_rows.zip(dst_rows) {
        unsafe {
            horiz_convolution_one_row(src_row, dst_row, normalizer);
        }
    }
}

/// For safety, it is necessary to ensure the following conditions:
/// - length of all rows in src_rows must be equal
/// - length of all rows in dst_rows must be equal
/// - coefficients_chunks.len() == dst_rows.0.len()
/// - max(chunk.start + chunk.values.len() for chunk in coefficients_chunks) <= src_row.0.len()
/// - precision <= MAX_COEFS_PRECISION
#[target_feature(enable = "simd128")]
unsafe fn horiz_convolution_four_rows(
    src_rows: [&[U16x2]; 4],
    dst_rows: [&mut [U16x2]; 4],
    normalizer: &Normalizer32,
) {
    let precision = normalizer.precision();
    let half_error = 1i64 << (precision - 1);
    let mut ll_buf = [0i64; 2];

    /*
       |L0   A0  | |L1   A1  | |L2   A2  | |L3   A3  |
       |0001 0203| |0405 0607| |0809 1011| |1213 1415|

        Shuffle to extract L0 and A0 as i64:
        0, 1, -1, -1, -1, -1, -1, -1, 2, 3, -1, -1, -1, -1, -1, -1

        Shuffle to extract L1 and A1 as i64:
        4, 5, -1, -1, -1, -1, -1, -1, 6, 7, -1, -1, -1, -1, -1, -1

        Shuffle to extract L2 and A2 as i64:
        8, 9, -1, -1, -1, -1, -1, -1, 10, 11, -1, -1, -1, -1, -1, -1

        Shuffle to extract L3 and A3 as i64:
        12, 13, -1, -1, -1, -1, -1, -1, 14, 15, -1, -1, -1, -1, -1, -1
    */

    const P0_SHUFFLE: v128 = i8x16(0, 1, -1, -1, -1, -1, -1, -1, 2, 3, -1, -1, -1, -1, -1, -1);
    const P1_SHUFFLE: v128 = i8x16(4, 5, -1, -1, -1, -1, -1, -1, 6, 7, -1, -1, -1, -1, -1, -1);
    const P2_SHUFFLE: v128 = i8x16(8, 9, -1, -1, -1, -1, -1, -1, 10, 11, -1, -1, -1, -1, -1, -1);
    const P3_SHUFFLE: v128 = i8x16(
        12, 13, -1, -1, -1, -1, -1, -1, 14, 15, -1, -1, -1, -1, -1, -1,
    );

    for (dst_x, coeffs_chunk) in normalizer.chunks().iter().enumerate() {
        let mut x: usize = coeffs_chunk.start as usize;
        let mut ll_sum = [i64x2_splat(half_error); 4];

        let mut coeffs = coeffs_chunk.values();

        let coeffs_by_4 = coeffs.chunks_exact(4);
        coeffs = coeffs_by_4.remainder();

        for k in coeffs_by_4 {
            let coeff0_i64x2 = i64x2_splat(k[0] as i64);
            let coeff1_i64x2 = i64x2_splat(k[1] as i64);
            let coeff2_i64x2 = i64x2_splat(k[2] as i64);
            let coeff3_i64x2 = i64x2_splat(k[3] as i64);

            for i in 0..4 {
                let mut sum = ll_sum[i];
                let source = wasm32_utils::load_v128(src_rows[i], x);

                let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));

                let p_i64x2 = i8x16_swizzle(source, P1_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff1_i64x2));

                let p_i64x2 = i8x16_swizzle(source, P2_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff2_i64x2));

                let p_i64x2 = i8x16_swizzle(source, P3_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff3_i64x2));

                ll_sum[i] = sum;
            }
            x += 4;
        }

        let coeffs_by_2 = coeffs.chunks_exact(2);
        coeffs = coeffs_by_2.remainder();

        for k in coeffs_by_2 {
            let coeff0_i64x2 = i64x2_splat(k[0] as i64);
            let coeff1_i64x2 = i64x2_splat(k[1] as i64);

            for i in 0..4 {
                let mut sum = ll_sum[i];
                let source = wasm32_utils::loadl_i64(src_rows[i], x);

                let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));

                let p_i64x2 = i8x16_swizzle(source, P1_SHUFFLE);
                sum = i64x2_add(sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff1_i64x2));

                ll_sum[i] = sum;
            }
            x += 2;
        }

        if let Some(&k) = coeffs.first() {
            let coeff0_i64x2 = i64x2_splat(k as i64);
            for i in 0..4 {
                let source = wasm32_utils::loadl_i32(src_rows[i], x);
                let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
                ll_sum[i] = i64x2_add(ll_sum[i], wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));
            }
        }

        for i in 0..4 {
            v128_store(ll_buf.as_mut_ptr() as *mut v128, ll_sum[i]);
            let dst_pixel = dst_rows[i].get_unchecked_mut(dst_x);
            dst_pixel.0 = [normalizer.clip(ll_buf[0]), normalizer.clip(ll_buf[1])];
        }
    }
}

/// For safety, it is necessary to ensure the following conditions:
/// - bounds.len() == dst_row.len()
/// - coeffs.len() == dst_rows.0.len() * window_size
/// - max(bound.start + bound.size for bound in bounds) <= src_row.len()
/// - precision <= MAX_COEFS_PRECISION
#[inline]
#[target_feature(enable = "simd128")]
unsafe fn horiz_convolution_one_row(
    src_row: &[U16x2],
    dst_row: &mut [U16x2],
    normalizer: &Normalizer32,
) {
    let precision = normalizer.precision();
    let half_error = 1i64 << (precision - 1);
    let mut ll_buf = [0i64; 2];

    /*
       |L0   A0  | |L1   A1  | |L2   A2  | |L3   A3  |
       |0001 0203| |0405 0607| |0809 1011| |1213 1415|

        Shuffle to extract L0 and A0 as i64:
        0, 1, -1, -1, -1, -1, -1, -1, 2, 3, -1, -1, -1, -1, -1, -1

        Shuffle to extract L1 and A1 as i64:
        4, 5, -1, -1, -1, -1, -1, -1, 6, 7, -1, -1, -1, -1, -1, -1

        Shuffle to extract L2 and A2 as i64:
        8, 9, -1, -1, -1, -1, -1, -1, 10, 11, -1, -1, -1, -1, -1, -1

        Shuffle to extract L3 and A3 as i64:
        12, 13, -1, -1, -1, -1, -1, -1, 14, 15, -1, -1, -1, -1, -1, -1
    */

    const P0_SHUFFLE: v128 = i8x16(0, 1, -1, -1, -1, -1, -1, -1, 2, 3, -1, -1, -1, -1, -1, -1);
    const P1_SHUFFLE: v128 = i8x16(4, 5, -1, -1, -1, -1, -1, -1, 6, 7, -1, -1, -1, -1, -1, -1);
    const P2_SHUFFLE: v128 = i8x16(8, 9, -1, -1, -1, -1, -1, -1, 10, 11, -1, -1, -1, -1, -1, -1);
    const P3_SHUFFLE: v128 = i8x16(
        12, 13, -1, -1, -1, -1, -1, -1, 14, 15, -1, -1, -1, -1, -1, -1,
    );

    for (dst_x, coeffs_chunk) in normalizer.chunks().iter().enumerate() {
        let mut x: usize = coeffs_chunk.start as usize;
        let mut ll_sum = i64x2_splat(half_error);
        let mut coeffs = coeffs_chunk.values();

        let coeffs_by_4 = coeffs.chunks_exact(4);
        coeffs = coeffs_by_4.remainder();

        for k in coeffs_by_4 {
            let coeff0_i64x2 = i64x2_splat(k[0] as i64);
            let coeff1_i64x2 = i64x2_splat(k[1] as i64);
            let coeff2_i64x2 = i64x2_splat(k[2] as i64);
            let coeff3_i64x2 = i64x2_splat(k[3] as i64);

            let source = wasm32_utils::load_v128(src_row, x);

            let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));

            let p_i64x2 = i8x16_swizzle(source, P1_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff1_i64x2));

            let p_i64x2 = i8x16_swizzle(source, P2_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff2_i64x2));

            let p_i64x2 = i8x16_swizzle(source, P3_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff3_i64x2));

            x += 4;
        }

        let coeffs_by_2 = coeffs.chunks_exact(2);
        coeffs = coeffs_by_2.remainder();

        for k in coeffs_by_2 {
            let coeff0_i64x2 = i64x2_splat(k[0] as i64);
            let coeff1_i64x2 = i64x2_splat(k[1] as i64);

            let source = wasm32_utils::loadl_i64(src_row, x);

            let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));

            let p_i64x2 = i8x16_swizzle(source, P1_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff1_i64x2));

            x += 2;
        }

        if let Some(&k) = coeffs.first() {
            let coeff0_i64x2 = i64x2_splat(k as i64);
            let source = wasm32_utils::loadl_i32(src_row, x);

            let p_i64x2 = i8x16_swizzle(source, P0_SHUFFLE);
            ll_sum = i64x2_add(ll_sum, wasm32_utils::i64x2_mul_lo(p_i64x2, coeff0_i64x2));
        }

        v128_store(ll_buf.as_mut_ptr() as *mut v128, ll_sum);
        let dst_pixel = dst_row.get_unchecked_mut(dst_x);
        dst_pixel.0 = [normalizer.clip(ll_buf[0]), normalizer.clip(ll_buf[1])];
    }
}