qdrant-edge 0.8.0

A lightweight, in-process vector search engine designed for embedded devices, autonomous systems, and mobile agents.
Documentation 
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#[cfg(target_feature = "neon")]
use std::arch::aarch64::*;

#[cfg(target_feature = "neon")]
use crate::common::types::ScoreType;

use super::tools::is_length_zero_or_normalized;
use crate::segment::data_types::vectors::DenseVector;
#[cfg(target_feature = "neon")]
use crate::segment::data_types::vectors::VectorElementType;

#[cfg(target_feature = "neon")]
pub(crate) unsafe fn euclid_similarity_neon(
    v1: &[VectorElementType],
    v2: &[VectorElementType],
) -> ScoreType {
    unsafe {
        let n = v1.len();
        let m = n - (n % 16);
        let mut ptr1: *const f32 = v1.as_ptr();
        let mut ptr2: *const f32 = v2.as_ptr();
        let mut sum1 = vdupq_n_f32(0.);
        let mut sum2 = vdupq_n_f32(0.);
        let mut sum3 = vdupq_n_f32(0.);
        let mut sum4 = vdupq_n_f32(0.);

        let mut i: usize = 0;
        while i < m {
            let sub1 = vsubq_f32(vld1q_f32(ptr1), vld1q_f32(ptr2));
            sum1 = vfmaq_f32(sum1, sub1, sub1);

            let sub2 = vsubq_f32(vld1q_f32(ptr1.add(4)), vld1q_f32(ptr2.add(4)));
            sum2 = vfmaq_f32(sum2, sub2, sub2);

            let sub3 = vsubq_f32(vld1q_f32(ptr1.add(8)), vld1q_f32(ptr2.add(8)));
            sum3 = vfmaq_f32(sum3, sub3, sub3);

            let sub4 = vsubq_f32(vld1q_f32(ptr1.add(12)), vld1q_f32(ptr2.add(12)));
            sum4 = vfmaq_f32(sum4, sub4, sub4);

            ptr1 = ptr1.add(16);
            ptr2 = ptr2.add(16);
            i += 16;
        }
        let mut result = vaddvq_f32(sum1) + vaddvq_f32(sum2) + vaddvq_f32(sum3) + vaddvq_f32(sum4);
        for i in 0..n - m {
            result += (*ptr1.add(i) - *ptr2.add(i)).powi(2);
        }
        -result
    }
}

#[cfg(target_feature = "neon")]
pub(crate) unsafe fn manhattan_similarity_neon(
    v1: &[VectorElementType],
    v2: &[VectorElementType],
) -> ScoreType {
    unsafe {
        let n = v1.len();
        let m = n - (n % 16);
        let mut ptr1: *const f32 = v1.as_ptr();
        let mut ptr2: *const f32 = v2.as_ptr();
        let mut sum1 = vdupq_n_f32(0.);
        let mut sum2 = vdupq_n_f32(0.);
        let mut sum3 = vdupq_n_f32(0.);
        let mut sum4 = vdupq_n_f32(0.);

        let mut i: usize = 0;
        while i < m {
            let sub1 = vsubq_f32(vld1q_f32(ptr1), vld1q_f32(ptr2));
            sum1 = vaddq_f32(sum1, vabsq_f32(sub1));

            let sub2 = vsubq_f32(vld1q_f32(ptr1.add(4)), vld1q_f32(ptr2.add(4)));
            sum2 = vaddq_f32(sum2, vabsq_f32(sub2));

            let sub3 = vsubq_f32(vld1q_f32(ptr1.add(8)), vld1q_f32(ptr2.add(8)));
            sum3 = vaddq_f32(sum3, vabsq_f32(sub3));

            let sub4 = vsubq_f32(vld1q_f32(ptr1.add(12)), vld1q_f32(ptr2.add(12)));
            sum4 = vaddq_f32(sum4, vabsq_f32(sub4));

            ptr1 = ptr1.add(16);
            ptr2 = ptr2.add(16);
            i += 16;
        }
        let mut result = vaddvq_f32(sum1) + vaddvq_f32(sum2) + vaddvq_f32(sum3) + vaddvq_f32(sum4);
        for i in 0..n - m {
            result += (*ptr1.add(i) - *ptr2.add(i)).abs();
        }
        -result
    }
}

#[cfg(target_feature = "neon")]
pub(crate) unsafe fn cosine_preprocess_neon(mut vector: DenseVector) -> DenseVector {
    unsafe {
        let n = vector.len();
        let m = n - (n % 16);
        let mut ptr: *const f32 = vector.as_ptr();
        let mut sum1 = vdupq_n_f32(0.);
        let mut sum2 = vdupq_n_f32(0.);
        let mut sum3 = vdupq_n_f32(0.);
        let mut sum4 = vdupq_n_f32(0.);

        let mut i: usize = 0;
        while i < m {
            let d1 = vld1q_f32(ptr);
            sum1 = vfmaq_f32(sum1, d1, d1);

            let d2 = vld1q_f32(ptr.add(4));
            sum2 = vfmaq_f32(sum2, d2, d2);

            let d3 = vld1q_f32(ptr.add(8));
            sum3 = vfmaq_f32(sum3, d3, d3);

            let d4 = vld1q_f32(ptr.add(12));
            sum4 = vfmaq_f32(sum4, d4, d4);

            ptr = ptr.add(16);
            i += 16;
        }

        let mut length = vaddvq_f32(vaddq_f32(vaddq_f32(sum1, sum2), vaddq_f32(sum3, sum4)));

        for v in vector.iter().take(n).skip(m) {
            length += v.powi(2);
        }
        if is_length_zero_or_normalized(length) {
            return vector;
        }

        let inv_length = 1.0 / length.sqrt();
        let v_inv_length = vdupq_n_f32(inv_length);
        let mut_ptr: *mut f32 = vector.as_mut_ptr();

        let mut i: usize = 0;

        while i + 15 < n {
            let v1 = vld1q_f32(mut_ptr.add(i));
            let v2 = vld1q_f32(mut_ptr.add(i + 4));
            let v3 = vld1q_f32(mut_ptr.add(i + 8));
            let v4 = vld1q_f32(mut_ptr.add(i + 12));
            vst1q_f32(mut_ptr.add(i), vmulq_f32(v1, v_inv_length));
            vst1q_f32(mut_ptr.add(i + 4), vmulq_f32(v2, v_inv_length));
            vst1q_f32(mut_ptr.add(i + 8), vmulq_f32(v3, v_inv_length));
            vst1q_f32(mut_ptr.add(i + 12), vmulq_f32(v4, v_inv_length));
            i += 16;
        }

        while i + 3 < n {
            let v = vld1q_f32(mut_ptr.add(i));
            vst1q_f32(mut_ptr.add(i), vmulq_f32(v, v_inv_length));
            i += 4;
        }

        for v in vector.iter_mut().take(n).skip(i) {
            *v *= inv_length;
        }

        vector
    }
}

#[cfg(target_feature = "neon")]
pub(crate) unsafe fn dot_similarity_neon(
    v1: &[VectorElementType],
    v2: &[VectorElementType],
) -> ScoreType {
    unsafe {
        let n = v1.len();
        let m = n - (n % 16);
        let mut ptr1: *const f32 = v1.as_ptr();
        let mut ptr2: *const f32 = v2.as_ptr();
        let mut sum1 = vdupq_n_f32(0.);
        let mut sum2 = vdupq_n_f32(0.);
        let mut sum3 = vdupq_n_f32(0.);
        let mut sum4 = vdupq_n_f32(0.);

        let mut i: usize = 0;
        while i < m {
            sum1 = vfmaq_f32(sum1, vld1q_f32(ptr1), vld1q_f32(ptr2));
            sum2 = vfmaq_f32(sum2, vld1q_f32(ptr1.add(4)), vld1q_f32(ptr2.add(4)));
            sum3 = vfmaq_f32(sum3, vld1q_f32(ptr1.add(8)), vld1q_f32(ptr2.add(8)));
            sum4 = vfmaq_f32(sum4, vld1q_f32(ptr1.add(12)), vld1q_f32(ptr2.add(12)));
            ptr1 = ptr1.add(16);
            ptr2 = ptr2.add(16);
            i += 16;
        }
        let mut result = vaddvq_f32(sum1) + vaddvq_f32(sum2) + vaddvq_f32(sum3) + vaddvq_f32(sum4);
        for i in 0..n - m {
            result += (*ptr1.add(i)) * (*ptr2.add(i));
        }
        result
    }
}

#[cfg(test)]
mod tests {
    #[cfg(target_feature = "neon")]
    #[test]
    fn test_spaces_neon() {
        use super::*;
        use crate::segment::spaces::simple::*;

        if std::arch::is_aarch64_feature_detected!("neon") {
            let v1: Vec<f32> = vec![
                10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25.,
                26., 27., 28., 29., 30., 31.,
            ];
            let v2: Vec<f32> = vec![
                40., 41., 42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,
                56., 57., 58., 59., 60., 61.,
            ];

            let euclid_simd = unsafe { euclid_similarity_neon(&v1, &v2) };
            let euclid = euclid_similarity(&v1, &v2);
            assert_eq!(euclid_simd, euclid);

            let manhattan_simd = unsafe { manhattan_similarity_neon(&v1, &v2) };
            let manhattan = manhattan_similarity(&v1, &v2);
            assert_eq!(manhattan_simd, manhattan);

            let dot_simd = unsafe { dot_similarity_neon(&v1, &v2) };
            let dot = dot_similarity(&v1, &v2);
            assert_eq!(dot_simd, dot);

            let cosine_simd = unsafe { cosine_preprocess_neon(v1.clone()) };
            let cosine = cosine_preprocess(v1);
            for (a, b) in cosine_simd.iter().zip(cosine.iter()) {
                let tol = 1e-6_f32.max(8.0 * f32::EPSILON * a.abs().max(b.abs()).max(1.0));
                assert!((a - b).abs() <= tol, "Cosine SIMD mismatch: {a} vs {b}",);
            }
        } else {
            println!("neon test skipped");
        }
    }
}