#![cfg(all(feature = "simd-neon", target_arch = "aarch64"))]
use core::arch::aarch64::*;
use crate::error::{QuantError, QuantResult};
use crate::reference::iq_shared::KVALUES_IQ4NL;
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
const BLOCK_SIZE: usize = 256;
const BLOCK_BYTES: usize = 136;
const N_SUPERBLOCKS: usize = 8;
const SUB_SIZE: usize = 32;
pub struct Iq4XsNeon;
#[inline]
fn unpack_sub_scale(scales_h_u16: u16, scales_l: &[u8], i: usize) -> i32 {
let ls_low: u8 = (scales_l[i / 2] >> (4 * (i & 1))) & 0x0F;
let ls_high: u8 = (scales_h_u16 >> (2 * i)) as u8 & 0x03;
let ls: u8 = ls_low | (ls_high << 4);
(ls as i32).wrapping_sub(32)
}
fn decode_block(block: &[u8], output: &mut [f32]) {
let d = half::f16::from_le_bytes([block[0], block[1]]).to_f32();
let scales_h_u16 = u16::from_le_bytes([block[2], block[3]]);
let scales_l = &block[4..8];
let nibbles = &block[8..136];
for sub in 0..N_SUPERBLOCKS {
let ls_signed = unpack_sub_scale(scales_h_u16, scales_l, sub);
let scale = d * ls_signed as f32;
let nibble_offset = sub * (SUB_SIZE / 2);
let weight_offset = sub * SUB_SIZE;
for i in 0..(SUB_SIZE / 2) {
let byte = nibbles[nibble_offset + i];
let lo = (byte & 0x0F) as usize;
let hi = ((byte >> 4) & 0x0F) as usize;
output[weight_offset + i * 2] = scale * KVALUES_IQ4NL[lo] as f32;
output[weight_offset + i * 2 + 1] = scale * KVALUES_IQ4NL[hi] as f32;
}
}
}
impl QuantKernel for Iq4XsNeon {
fn block_size(&self) -> usize {
BLOCK_SIZE
}
fn block_bytes(&self) -> usize {
BLOCK_BYTES
}
fn name(&self) -> &'static str {
"IQ4_XS-NEON"
}
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(),
});
}
decode_block(block, output);
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 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;
let mut scratch = [0.0f32; BLOCK_SIZE];
for (row, out) in output.iter_mut().enumerate().take(n_rows) {
let row_start = row * row_bytes;
let mut sum = unsafe { vdupq_n_f32(0.0) };
for blk in 0..blocks_per_row {
let bo = row_start + blk * BLOCK_BYTES;
let block = &quant_matrix.data[bo..bo + BLOCK_BYTES];
let input_base = blk * BLOCK_SIZE;
let block_input_len = BLOCK_SIZE.min(n_cols.saturating_sub(input_base));
decode_block(block, &mut scratch);
unsafe {
let w_ptr = scratch.as_ptr();
let i_ptr = input.as_ptr().add(input_base);
let lanes = block_input_len / 4;
for k in 0..lanes {
let off = k * 4;
let wv = vld1q_f32(w_ptr.add(off));
let iv = vld1q_f32(i_ptr.add(off));
sum = vfmaq_f32(sum, wv, iv);
}
for k in (lanes * 4)..block_input_len {
let s: f32 = scratch[k] * input[input_base + k];
sum = vaddq_f32(sum, vdupq_n_f32(s));
}
}
}
*out = unsafe { vaddvq_f32(sum) };
}
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::reference::iq4_xs::Iq4XsRef;
use oxillama_gguf::GgufTensorType;
fn make_zero_block() -> Vec<u8> {
let mut block = vec![0u8; BLOCK_BYTES];
let d_bits = half::f16::from_f32(1.0).to_bits();
block[0] = (d_bits & 0xff) as u8;
block[1] = (d_bits >> 8) as u8;
block
}
#[test]
fn test_dequant_block_basic() {
let block = make_zero_block();
let mut out = vec![0.0f32; BLOCK_SIZE];
Iq4XsNeon
.dequant_block(&block, &mut out)
.expect("dequant failed");
assert_eq!(out.len(), BLOCK_SIZE);
}
#[test]
fn test_dequant_cross_validate() {
let mut block = make_zero_block();
block[2] = 0xFF;
block[3] = 0x0F;
block[4] = 0xAB;
block[8] = 0x9F;
block[9] = 0x52;
let mut neon_out = vec![0.0f32; BLOCK_SIZE];
let mut ref_out = vec![0.0f32; BLOCK_SIZE];
Iq4XsNeon
.dequant_block(&block, &mut neon_out)
.expect("neon failed");
Iq4XsRef
.dequant_block(&block, &mut ref_out)
.expect("ref failed");
for (i, (&n, &r)) in neon_out.iter().zip(ref_out.iter()).enumerate() {
assert!((n - r).abs() < 1e-5, "mismatch at {i}: neon={n} ref={r}");
}
}
#[test]
fn test_gemv_single_row() {
let block = make_zero_block();
let data = block.clone();
let tensor = QuantTensor {
data,
shape: vec![1, BLOCK_SIZE],
tensor_type: GgufTensorType::Iq4Xs,
};
let input = vec![1.0f32; BLOCK_SIZE];
let mut out = vec![0.0f32; 1];
Iq4XsNeon
.gemv(&tensor, &input, &mut out)
.expect("gemv failed");
}
}