#![cfg(all(feature = "simd-neon", target_arch = "aarch64"))]
use core::arch::aarch64::*;
use crate::error::{QuantError, QuantResult};
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
pub const BLOCK_SIZE: usize = 256;
pub const BLOCK_BYTES: usize = 110;
#[allow(non_camel_case_types)]
pub struct Q3_KNeon;
#[inline(always)]
fn f16_to_f32(bits: u16) -> f32 {
half::f16::from_bits(bits).to_f32()
}
#[inline(always)]
unsafe fn hsum_f32x4(v: float32x4_t) -> f32 {
unsafe { vaddvq_f32(v) }
}
pub fn unpack_scales(scales_raw: &[u8; 12]) -> [i8; 16] {
let mut sc = [0u32; 16];
for j in 0..4 {
sc[j] = (scales_raw[j] & 0x3F) as u32;
}
for j in 0..4 {
sc[4 + j] = (scales_raw[4 + j] & 0x3F) as u32;
}
for j in 0..4 {
let lo = (scales_raw[8 + j] & 0x0F) as u32;
let hi = ((scales_raw[j] >> 6) & 0x03) as u32;
sc[8 + j] = lo | (hi << 4);
}
for j in 0..4 {
let lo = ((scales_raw[8 + j] >> 4) & 0x0F) as u32;
let hi = ((scales_raw[4 + j] >> 6) & 0x03) as u32;
sc[12 + j] = lo | (hi << 4);
}
let mut result = [0i8; 16];
for i in 0..16 {
result[i] = (sc[i] as i32 - 32) as i8;
}
result
}
#[inline(always)]
unsafe fn extract_2bit(raw: uint8x16_t, shift: u32) -> uint8x16_t {
let mask = unsafe { vdupq_n_u8(0x03) };
let shifted = match shift {
0 => raw,
2 => unsafe { vshrq_n_u8::<2>(raw) },
4 => unsafe { vshrq_n_u8::<4>(raw) },
_ => unsafe { vshrq_n_u8::<6>(raw) },
};
unsafe { vandq_u8(shifted, mask) }
}
#[inline(always)]
unsafe fn hmask_correction(hmask_chunk: uint8x16_t, m_bit: u8) -> uint8x16_t {
let m_vec = unsafe { vdupq_n_u8(m_bit) };
let four = unsafe { vdupq_n_u8(4) };
let zero = unsafe { vdupq_n_u8(0) };
let masked = unsafe { vandq_u8(hmask_chunk, m_vec) };
let is_set = unsafe { vcgtq_u8(masked, vdupq_n_u8(0)) };
unsafe { vbslq_u8(is_set, zero, four) }
}
#[inline]
unsafe fn dequant_16_weights(
qs_raw: uint8x16_t,
hmask_chunk: uint8x16_t,
shift: u32,
m_bit: u8,
dl: f32,
out_ptr: *mut f32,
) {
let q_bytes = unsafe { extract_2bit(qs_raw, shift) };
let corr = unsafe { hmask_correction(hmask_chunk, m_bit) };
let dl_vec = unsafe { vdupq_n_f32(dl) };
let q_lo_u16 = unsafe { vmovl_u8(vget_low_u8(q_bytes)) };
let q_hi_u16 = unsafe { vmovl_u8(vget_high_u8(q_bytes)) };
let c_lo_u16 = unsafe { vmovl_u8(vget_low_u8(corr)) };
let c_hi_u16 = unsafe { vmovl_u8(vget_high_u8(corr)) };
let qs_lo = unsafe { vreinterpretq_s16_u16(vsubq_u16(q_lo_u16, c_lo_u16)) };
let qs_hi = unsafe { vreinterpretq_s16_u16(vsubq_u16(q_hi_u16, c_hi_u16)) };
let q0 = unsafe { vcvtq_f32_s32(vmovl_s16(vget_low_s16(qs_lo))) };
let q1 = unsafe { vcvtq_f32_s32(vmovl_high_s16(qs_lo)) };
let q2 = unsafe { vcvtq_f32_s32(vmovl_s16(vget_low_s16(qs_hi))) };
let q3 = unsafe { vcvtq_f32_s32(vmovl_high_s16(qs_hi)) };
let w0 = unsafe { vmulq_f32(dl_vec, q0) };
let w1 = unsafe { vmulq_f32(dl_vec, q1) };
let w2 = unsafe { vmulq_f32(dl_vec, q2) };
let w3 = unsafe { vmulq_f32(dl_vec, q3) };
unsafe { vst1q_f32(out_ptr, w0) };
unsafe { vst1q_f32(out_ptr.add(4), w1) };
unsafe { vst1q_f32(out_ptr.add(8), w2) };
unsafe { vst1q_f32(out_ptr.add(12), w3) };
}
#[inline]
unsafe fn dot_16_weights(
qs_raw: uint8x16_t,
hmask_chunk: uint8x16_t,
shift: u32,
m_bit: u8,
dl: f32,
inp_ptr: *const f32,
) -> f32 {
let q_bytes = unsafe { extract_2bit(qs_raw, shift) };
let corr = unsafe { hmask_correction(hmask_chunk, m_bit) };
let dl_vec = unsafe { vdupq_n_f32(dl) };
let q_lo_u16 = unsafe { vmovl_u8(vget_low_u8(q_bytes)) };
let q_hi_u16 = unsafe { vmovl_u8(vget_high_u8(q_bytes)) };
let c_lo_u16 = unsafe { vmovl_u8(vget_low_u8(corr)) };
let c_hi_u16 = unsafe { vmovl_u8(vget_high_u8(corr)) };
let qs_lo = unsafe { vreinterpretq_s16_u16(vsubq_u16(q_lo_u16, c_lo_u16)) };
let qs_hi = unsafe { vreinterpretq_s16_u16(vsubq_u16(q_hi_u16, c_hi_u16)) };
let q0 = unsafe { vcvtq_f32_s32(vmovl_s16(vget_low_s16(qs_lo))) };
let q1 = unsafe { vcvtq_f32_s32(vmovl_high_s16(qs_lo)) };
let q2 = unsafe { vcvtq_f32_s32(vmovl_s16(vget_low_s16(qs_hi))) };
let q3 = unsafe { vcvtq_f32_s32(vmovl_high_s16(qs_hi)) };
let w0 = unsafe { vmulq_f32(dl_vec, q0) };
let w1 = unsafe { vmulq_f32(dl_vec, q1) };
let w2 = unsafe { vmulq_f32(dl_vec, q2) };
let w3 = unsafe { vmulq_f32(dl_vec, q3) };
let i0 = unsafe { vld1q_f32(inp_ptr) };
let i1 = unsafe { vld1q_f32(inp_ptr.add(4)) };
let i2 = unsafe { vld1q_f32(inp_ptr.add(8)) };
let i3 = unsafe { vld1q_f32(inp_ptr.add(12)) };
let mut acc = unsafe { vmulq_f32(w0, i0) };
acc = unsafe { vfmaq_f32(acc, w1, i1) };
acc = unsafe { vfmaq_f32(acc, w2, i2) };
acc = unsafe { vfmaq_f32(acc, w3, i3) };
unsafe { hsum_f32x4(acc) }
}
impl QuantKernel for Q3_KNeon {
fn dequant_block(&self, block: &[u8], output: &mut [f32]) -> QuantResult<()> {
if block.len() < BLOCK_BYTES {
return Err(QuantError::BufferTooSmall {
needed: BLOCK_BYTES,
available: block.len(),
});
}
if output.len() < BLOCK_SIZE {
return Err(QuantError::BufferTooSmall {
needed: BLOCK_SIZE,
available: output.len(),
});
}
let hmask = &block[0..32];
let qs = &block[32..96];
let scales_raw: &[u8; 12] = block[96..108].try_into().unwrap_or(&[0u8; 12]);
let d = f16_to_f32(u16::from_le_bytes([block[108], block[109]]));
let sc = unpack_scales(scales_raw);
let hmask_lo = unsafe { vld1q_u8(hmask.as_ptr()) };
let hmask_hi = unsafe { vld1q_u8(hmask.as_ptr().add(16)) };
let mut is = 0usize;
let mut out_off = 0usize;
for group in 0..2usize {
let qs_base = group * 32;
let raw_a = unsafe { vld1q_u8(qs.as_ptr().add(qs_base)) };
let raw_b = unsafe { vld1q_u8(qs.as_ptr().add(qs_base + 16)) };
for shift_idx in 0..4u32 {
let shift = shift_idx * 2;
let bit_pos = (group as u32) * 4 + shift_idx;
let m_bit: u8 = 1u8 << bit_pos;
let dl_a = d * sc[is] as f32;
is += 1;
unsafe {
dequant_16_weights(
raw_a,
hmask_lo,
shift,
m_bit,
dl_a,
output.as_mut_ptr().add(out_off),
)
};
out_off += 16;
let dl_b = d * sc[is] as f32;
is += 1;
unsafe {
dequant_16_weights(
raw_b,
hmask_hi,
shift,
m_bit,
dl_b,
output.as_mut_ptr().add(out_off),
)
};
out_off += 16;
}
}
Ok(())
}
fn gemv(
&self,
quant_matrix: &QuantTensor,
input: &[f32],
output: &mut [f32],
) -> QuantResult<()> {
let n_rows = quant_matrix.shape[0];
let n_cols = if quant_matrix.shape.len() > 1 {
quant_matrix.shape[1]
} else {
quant_matrix.n_elements() / n_rows
};
if input.len() < n_cols {
return Err(QuantError::DimensionMismatch {
expected: n_cols,
got: input.len(),
});
}
if output.len() < n_rows {
return Err(QuantError::DimensionMismatch {
expected: n_rows,
got: output.len(),
});
}
let blocks_per_row = n_cols.div_ceil(BLOCK_SIZE);
let row_bytes = blocks_per_row * BLOCK_BYTES;
for (row, out) in output.iter_mut().enumerate().take(n_rows) {
let row_start = row * row_bytes;
let mut sum = 0.0f32;
for blk in 0..blocks_per_row {
let block_offset = row_start + blk * BLOCK_BYTES;
let block = &quant_matrix.data[block_offset..block_offset + BLOCK_BYTES];
let hmask = &block[0..32];
let qs = &block[32..96];
let scales_raw: &[u8; 12] = block[96..108].try_into().unwrap_or(&[0u8; 12]);
let d = f16_to_f32(u16::from_le_bytes([block[108], block[109]]));
let sc = unpack_scales(scales_raw);
let input_offset = blk * BLOCK_SIZE;
let cols_in_block = (n_cols - input_offset).min(BLOCK_SIZE);
let hmask_lo = unsafe { vld1q_u8(hmask.as_ptr()) };
let hmask_hi = unsafe { vld1q_u8(hmask.as_ptr().add(16)) };
if cols_in_block == BLOCK_SIZE {
let mut is = 0usize;
let mut w_off = input_offset;
for group in 0..2usize {
let qs_base = group * 32;
let raw_a = unsafe { vld1q_u8(qs.as_ptr().add(qs_base)) };
let raw_b = unsafe { vld1q_u8(qs.as_ptr().add(qs_base + 16)) };
for shift_idx in 0..4u32 {
let shift = shift_idx * 2;
let bit_pos = (group as u32) * 4 + shift_idx;
let m_bit: u8 = 1u8 << bit_pos;
let dl_a = d * sc[is] as f32;
is += 1;
sum += unsafe {
dot_16_weights(
raw_a,
hmask_lo,
shift,
m_bit,
dl_a,
input.as_ptr().add(w_off),
)
};
w_off += 16;
let dl_b = d * sc[is] as f32;
is += 1;
sum += unsafe {
dot_16_weights(
raw_b,
hmask_hi,
shift,
m_bit,
dl_b,
input.as_ptr().add(w_off),
)
};
w_off += 16;
}
}
} else {
let inp = &input[input_offset..];
let mut is = 0usize;
let mut in_off = 0usize;
let mut m_bit: u8 = 1;
for group in 0..2 {
let qs_base = group * 32;
for shift in (0..8usize).step_by(2) {
for n in 0..2 {
let dl = d * sc[is] as f32;
is += 1;
for l in 0..16 {
if in_off + l < cols_in_block {
let qs_idx = qs_base + n * 16 + l;
let q_lo = ((qs[qs_idx] >> shift) & 3) as i32;
let sub =
if hmask[n * 16 + l] & m_bit != 0 { 0 } else { 4 };
sum += dl * (q_lo - sub) as f32 * inp[in_off + l];
}
}
in_off += 16;
}
m_bit = m_bit.wrapping_shl(1);
}
}
}
}
*out = sum;
}
Ok(())
}
fn gemm(
&self,
quant_matrix: &QuantTensor,
input: &[f32],
output: &mut [f32],
m: usize,
n: usize,
k: usize,
) -> QuantResult<()> {
for row in 0..m {
let input_row = &input[row * k..(row + 1) * k];
let output_row = &mut output[row * n..(row + 1) * n];
self.gemv(quant_matrix, input_row, output_row)?;
}
Ok(())
}
fn block_size(&self) -> usize {
BLOCK_SIZE
}
fn block_bytes(&self) -> usize {
BLOCK_BYTES
}
fn name(&self) -> &'static str {
"Q3_K_Neon"
}
}
#[cfg(all(test, feature = "simd-neon", target_arch = "aarch64"))]
mod tests {
use super::*;
use crate::reference::q3_k::Q3KRef;
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
fn make_block(d: f32, scales: &[u8; 12], hmask: &[u8; 32], qs: &[u8; 64]) -> Vec<u8> {
let mut block = Vec::with_capacity(BLOCK_BYTES);
block.extend_from_slice(hmask);
block.extend_from_slice(qs);
block.extend_from_slice(scales);
block.extend_from_slice(&half::f16::from_f32(d).to_bits().to_le_bytes());
block
}
fn all_one_scales() -> [u8; 12] {
[
0xA1, 0xA1, 0xA1, 0xA1, 0xA1, 0xA1, 0xA1, 0xA1, 0x11, 0x11, 0x11, 0x11,
]
}
#[test]
fn test_unpack_scales_all_one() {
let scales = all_one_scales();
let decoded = unpack_scales(&scales);
for (i, &s) in decoded.iter().enumerate() {
assert_eq!(s, 1, "scale[{i}] = {s}, expected 1");
}
}
#[test]
fn test_dequant_zeros() {
let block = make_block(0.0, &[0; 12], &[0; 32], &[0; 64]);
let mut out = vec![0.0f32; 256];
Q3_KNeon.dequant_block(&block, &mut out).expect("dequant");
for &v in &out {
assert!(v.abs() < 1e-5, "expected 0, got {v}");
}
}
#[test]
fn test_dequant_matches_reference() {
let mut hmask = [0u8; 32];
let mut qs = [0u8; 64];
for (i, h) in hmask.iter_mut().enumerate() {
*h = ((i * 7 + 3) & 0xFF) as u8;
}
for (i, q) in qs.iter_mut().enumerate() {
*q = ((i * 11 + 5) & 0xFF) as u8;
}
let scales = all_one_scales();
let block = make_block(0.5, &scales, &hmask, &qs);
let mut out_neon = vec![0.0f32; 256];
let mut out_ref = vec![0.0f32; 256];
Q3_KNeon.dequant_block(&block, &mut out_neon).expect("neon");
Q3KRef.dequant_block(&block, &mut out_ref).expect("ref");
let max_err = out_neon
.iter()
.zip(out_ref.iter())
.map(|(a, b)| (a - b).abs())
.fold(0.0f32, f32::max);
assert!(
max_err < 1e-4,
"dequant max error {max_err}; neon[0]={} ref[0]={}",
out_neon[0],
out_ref[0]
);
}
#[test]
fn test_dequant_hmask_set_q3() {
let hmask = [0xFFu8; 32];
let qs = [0xFFu8; 64];
let scales = all_one_scales();
let block = make_block(1.0, &scales, &hmask, &qs);
let mut out_neon = vec![0.0f32; 256];
let mut out_ref = vec![0.0f32; 256];
Q3_KNeon.dequant_block(&block, &mut out_neon).expect("neon");
Q3KRef.dequant_block(&block, &mut out_ref).expect("ref");
for i in 0..256 {
assert!(
(out_neon[i] - out_ref[i]).abs() < 1e-4,
"weight[{i}]: neon={} ref={}",
out_neon[i],
out_ref[i]
);
}
}
#[test]
fn test_gemv_matches_reference() {
let mut hmask = [0u8; 32];
let mut qs = [0u8; 64];
for (i, h) in hmask.iter_mut().enumerate() {
*h = ((i * 7 + 3) & 0xFF) as u8;
}
for (i, q) in qs.iter_mut().enumerate() {
*q = ((i * 11 + 5) & 0xFF) as u8;
}
let scales = all_one_scales();
let block = make_block(0.5, &scales, &hmask, &qs);
let input: Vec<f32> = (0..256).map(|i| (i as f32) * 0.01 - 1.28).collect();
let tensor_neon = QuantTensor::new(
block.clone(),
vec![1, 256],
oxillama_gguf::GgufTensorType::Q3K,
);
let tensor_ref = QuantTensor::new(block, vec![1, 256], oxillama_gguf::GgufTensorType::Q3K);
let mut out_neon = vec![0.0f32; 1];
let mut out_ref = vec![0.0f32; 1];
Q3_KNeon
.gemv(&tensor_neon, &input, &mut out_neon)
.expect("neon");
Q3KRef.gemv(&tensor_ref, &input, &mut out_ref).expect("ref");
let err = (out_neon[0] - out_ref[0]).abs();
assert!(
err < 0.1,
"gemv: neon={} ref={} err={}",
out_neon[0],
out_ref[0],
err
);
}
}