use super::iq_shared::KVALUES_IQ4NL;
use crate::error::{QuantError, QuantResult};
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
const IQ4_XS_BLOCK_SIZE: usize = 256;
const IQ4_XS_BLOCK_BYTES: usize = 136;
const IQ4_XS_N_SUPERBLOCKS: usize = 8;
const IQ4_XS_SUB_BLOCK_SIZE: usize = IQ4_XS_BLOCK_SIZE / IQ4_XS_N_SUPERBLOCKS;
#[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)
}
pub struct Iq4XsRef;
impl QuantKernel for Iq4XsRef {
fn dequant_block(&self, block: &[u8], output: &mut [f32]) -> QuantResult<()> {
if block.len() < IQ4_XS_BLOCK_BYTES {
return Err(QuantError::BufferTooSmall {
needed: IQ4_XS_BLOCK_BYTES,
available: block.len(),
});
}
if output.len() < IQ4_XS_BLOCK_SIZE {
return Err(QuantError::BufferTooSmall {
needed: IQ4_XS_BLOCK_SIZE,
available: output.len(),
});
}
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..IQ4_XS_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 * (IQ4_XS_SUB_BLOCK_SIZE / 2); let weight_offset = sub * IQ4_XS_SUB_BLOCK_SIZE;
for i in 0..(IQ4_XS_SUB_BLOCK_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;
}
}
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(IQ4_XS_BLOCK_SIZE);
let row_bytes = blocks_per_row * IQ4_XS_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 * IQ4_XS_BLOCK_BYTES;
let block = &quant_matrix.data[block_offset..block_offset + IQ4_XS_BLOCK_BYTES];
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..IQ4_XS_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 * (IQ4_XS_SUB_BLOCK_SIZE / 2);
let col_offset = blk * IQ4_XS_BLOCK_SIZE + sub * IQ4_XS_SUB_BLOCK_SIZE;
for i in 0..(IQ4_XS_SUB_BLOCK_SIZE / 2) {
let byte = nibbles[nibble_offset + i];
let lo = (byte & 0x0F) as usize;
let hi = ((byte >> 4) & 0x0F) as usize;
let idx = col_offset + i * 2;
if idx + 1 < n_cols {
sum += KVALUES_IQ4NL[lo] as f32 * scale * input[idx];
sum += KVALUES_IQ4NL[hi] as f32 * scale * input[idx + 1];
} else if idx < n_cols {
sum += KVALUES_IQ4NL[lo] as f32 * scale * input[idx];
}
}
}
}
*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 {
IQ4_XS_BLOCK_SIZE
}
fn block_bytes(&self) -> usize {
IQ4_XS_BLOCK_BYTES
}
fn name(&self) -> &'static str {
"IQ4_XS"
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::traits::QuantKernel;
fn make_iq4_xs_block(
scale: f32,
sub_scales: [u8; 8], nibbles: [u8; 128],
) -> [u8; IQ4_XS_BLOCK_BYTES] {
let mut block = [0u8; IQ4_XS_BLOCK_BYTES];
let d_le = half::f16::from_f32(scale).to_le_bytes();
block[0] = d_le[0];
block[1] = d_le[1];
let mut scales_h_u16: u16 = 0;
let mut scales_l = [0u8; 4];
for i in 0..IQ4_XS_N_SUPERBLOCKS {
let v = sub_scales[i] & 0x3F; let ls_low = v & 0x0F;
let ls_high = (v >> 4) & 0x03;
if i & 1 == 0 {
scales_l[i / 2] |= ls_low;
} else {
scales_l[i / 2] |= ls_low << 4;
}
scales_h_u16 |= (ls_high as u16) << (2 * i);
}
let sh = scales_h_u16.to_le_bytes();
block[2] = sh[0];
block[3] = sh[1];
block[4..8].copy_from_slice(&scales_l);
block[8..136].copy_from_slice(&nibbles);
block
}
#[test]
fn test_dequant_block_known_sub_scale() {
let block = make_iq4_xs_block(1.0, [32u8; 8], [0xAAu8; 128]);
let mut out = [0.0f32; 256];
Iq4XsRef.dequant_block(&block, &mut out).unwrap();
for (i, &v) in out.iter().enumerate() {
assert!(
v.abs() < 1e-6,
"weight[{i}] = {v}, expected 0 (ls_signed=0)"
);
}
}
#[test]
fn test_dequant_block_unit_sub_scale() {
let mut sub_scales = [32u8; 8];
sub_scales[0] = 33; let block = make_iq4_xs_block(1.0, sub_scales, [0x88u8; 128]);
let mut out = [0.0f32; 256];
Iq4XsRef.dequant_block(&block, &mut out).unwrap();
for (i, &val) in out.iter().enumerate().take(32) {
assert!((val - 1.0f32).abs() < 0.01, "out[{i}]={val}, expected 1.0",);
}
for (i, &val) in out.iter().enumerate().skip(32) {
assert!(val.abs() < 1e-6, "out[{i}]={val}, expected 0",);
}
}
#[test]
fn test_dequant_block_buffer_too_small_block() {
let small = [0u8; 50];
let mut out = [0.0f32; 256];
let result = Iq4XsRef.dequant_block(&small, &mut out);
assert!(matches!(result, Err(QuantError::BufferTooSmall { .. })));
}
#[test]
fn test_dequant_block_buffer_too_small_output() {
let block = make_iq4_xs_block(1.0, [32u8; 8], [0x00u8; 128]);
let mut out = [0.0f32; 100];
let result = Iq4XsRef.dequant_block(&block, &mut out);
assert!(matches!(result, Err(QuantError::BufferTooSmall { .. })));
}
#[test]
fn test_gemv_sum_equals_dequant_dot_ones() {
let mut sub_scales = [32u8; 8];
sub_scales.iter_mut().for_each(|s| *s = 33);
let block = make_iq4_xs_block(1.0, sub_scales, [0x88u8; 128]);
let mut dequant = [0.0f32; 256];
Iq4XsRef.dequant_block(&block, &mut dequant).unwrap();
let expected: f32 = dequant.iter().sum();
let tensor = QuantTensor::new(
block.to_vec(),
vec![1, 256],
oxillama_gguf::GgufTensorType::Iq4Xs,
);
let input = vec![1.0f32; 256];
let mut out = [0.0f32; 1];
Iq4XsRef.gemv(&tensor, &input, &mut out).unwrap();
assert!(
(out[0] - expected).abs() < 1e-3,
"gemv={}, expected dequant_sum={}",
out[0],
expected
);
}
#[test]
fn test_gemv_two_rows() {
let block0 = make_iq4_xs_block(1.0, [32u8; 8], [0x88u8; 128]);
let block1 = make_iq4_xs_block(1.0, [33u8; 8], [0x88u8; 128]);
let mut data = Vec::with_capacity(IQ4_XS_BLOCK_BYTES * 2);
data.extend_from_slice(&block0);
data.extend_from_slice(&block1);
let tensor = QuantTensor::new(data, vec![2, 256], oxillama_gguf::GgufTensorType::Iq4Xs);
let input = vec![1.0f32; 256];
let mut out = [0.0f32; 2];
Iq4XsRef.gemv(&tensor, &input, &mut out).unwrap();
assert!(out[0].abs() < 1e-4, "row0={}", out[0]);
assert!((out[1] - 256.0f32).abs() < 0.5, "row1={}", out[1]);
}
#[test]
fn test_block_size_and_bytes() {
assert_eq!(Iq4XsRef.block_size(), 256);
assert_eq!(Iq4XsRef.block_bytes(), 136);
assert_eq!(Iq4XsRef.name(), "IQ4_XS");
}
#[test]
fn test_sub_scale_roundtrip() {
let sub_scales = [32u8, 0, 63, 1, 31, 33, 16, 48];
let block = make_iq4_xs_block(1.0, sub_scales, [0x00u8; 128]);
let scales_h_u16 = u16::from_le_bytes([block[2], block[3]]);
let scales_l = &block[4..8];
for (i, &raw_scale) in sub_scales.iter().enumerate() {
let got = unpack_sub_scale(scales_h_u16, scales_l, i);
let expected = (raw_scale as i32).wrapping_sub(32);
assert_eq!(
got, expected,
"sub-block {i}: got ls_signed={got}, expected {expected}"
);
}
}
}