#![cfg(all(feature = "simd-avx2", target_arch = "x86_64"))]
use core::arch::x86_64::*;
use crate::error::{QuantError, QuantResult};
use crate::reference::iq_grids::{IQ2S_GRID, KMASK_IQ2XS};
use crate::simd::avx2::util::hsum_f32_avx;
use crate::traits::QuantKernel;
use crate::types::QuantTensor;
pub const BLOCK_SIZE: usize = 256;
pub const BLOCK_BYTES: usize = 82;
const N_SUPERBLOCKS: usize = 8;
const SUPER_BLOCK_SIZE: usize = 32;
const GROUPS_PER_SUPER: usize = 4;
const WEIGHTS_PER_GROUP: usize = 8;
const QS_OFFSET: usize = 2;
const QS_BYTES: usize = 64;
const SIGNS_IN_QS: usize = 32;
const QH_OFFSET: usize = 66;
const SCALES_OFFSET: usize = 74;
pub struct Iq2SAvx2;
impl QuantKernel for Iq2SAvx2 {
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(),
});
}
dequant_block_scalar(block, output)
}
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;
*out = unsafe {
gemv_row_avx2(
&quant_matrix.data[row_start..row_start + row_bytes],
input,
blocks_per_row,
n_cols,
)
};
}
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 {
"IQ2_S_AVX2"
}
}
fn dequant_block_scalar(block: &[u8], output: &mut [f32]) -> QuantResult<()> {
let d = half::f16::from_le_bytes([block[0], block[1]]).to_f32();
let qs = &block[QS_OFFSET..QS_OFFSET + QS_BYTES];
let qs_base = &qs[..SIGNS_IN_QS];
let qs_signs = &qs[SIGNS_IN_QS..];
let qh = &block[QH_OFFSET..SCALES_OFFSET];
let scales = &block[SCALES_OFFSET..BLOCK_BYTES];
for ib32 in 0..N_SUPERBLOCKS {
let scale_byte = scales[ib32];
let db0 = d * (0.5 + (scale_byte & 0xf) as f32) * 0.25;
let db1 = d * (0.5 + (scale_byte >> 4) as f32) * 0.25;
let qh_byte = qh[ib32] as u16;
let weight_base = ib32 * SUPER_BLOCK_SIZE;
for l in 0..GROUPS_PER_SUPER {
let base_idx = qs_base[4 * ib32 + l] as u16;
let shift = 8u16.saturating_sub(2 * l as u16);
let high_bit = (qh_byte << shift) & 0x300;
let grid_idx = (base_idx | high_bit) as usize;
let signs_byte = qs_signs[4 * ib32 + l];
let magnitudes: [u8; 8] = IQ2S_GRID[grid_idx].to_le_bytes();
let dl = if l < 2 { db0 } else { db1 };
let group_base = weight_base + l * WEIGHTS_PER_GROUP;
for j in 0..WEIGHTS_PER_GROUP {
let mag = magnitudes[j] as f32;
let sign = if signs_byte & KMASK_IQ2XS[j] != 0 {
-1.0_f32
} else {
1.0_f32
};
output[group_base + j] = dl * mag * sign;
}
}
}
Ok(())
}
#[target_feature(enable = "avx2,fma")]
unsafe fn gemv_row_avx2(
row_data: &[u8],
input: &[f32],
blocks_per_row: usize,
n_cols: usize,
) -> f32 {
let mut acc = _mm256_setzero_ps();
let mut scalar_tail = 0.0f32;
let mut buf = [0.0f32; BLOCK_SIZE];
for blk in 0..blocks_per_row {
let block_offset = blk * BLOCK_BYTES;
let block = row_data.get_unchecked(block_offset..block_offset + BLOCK_BYTES);
let col_offset = blk * BLOCK_SIZE;
let remaining = n_cols.saturating_sub(col_offset).min(BLOCK_SIZE);
let _ = dequant_block_scalar(block, &mut buf);
let full_chunks = remaining / 8;
for chunk in 0..full_chunks {
let w = _mm256_loadu_ps(buf.as_ptr().add(chunk * 8));
let x = _mm256_loadu_ps(input.as_ptr().add(col_offset + chunk * 8));
acc = _mm256_fmadd_ps(w, x, acc);
}
for j in (full_chunks * 8)..remaining {
scalar_tail += buf[j] * *input.get_unchecked(col_offset + j);
}
}
hsum_f32_avx(acc) + scalar_tail
}
#[cfg(test)]
mod tests {
use super::*;
use crate::reference::iq2_s::Iq2SRef;
fn make_zero_block(d: f32) -> Vec<u8> {
let mut block = vec![0u8; BLOCK_BYTES];
let d_f16 = half::f16::from_f32(d);
let bytes = d_f16.to_le_bytes();
block[0] = bytes[0];
block[1] = bytes[1];
block
}
#[test]
fn zero_block_matches_reference() {
if !is_x86_feature_detected!("avx2") {
return;
}
let block = make_zero_block(1.0);
let mut ref_out = vec![0.0f32; BLOCK_SIZE];
Iq2SRef.dequant_block(&block, &mut ref_out).unwrap();
let mut avx_out = vec![0.0f32; BLOCK_SIZE];
Iq2SAvx2.dequant_block(&block, &mut avx_out).unwrap();
for (i, (r, a)) in ref_out.iter().zip(avx_out.iter()).enumerate() {
assert!((r - a).abs() < 1e-5, "mismatch at [{i}]: ref={r}, avx={a}");
}
}
#[test]
fn nonzero_block_matches_reference() {
if !is_x86_feature_detected!("avx2") {
return;
}
let mut block = make_zero_block(0.25);
block[QH_OFFSET] = 0xAA;
block[SCALES_OFFSET] = 0x5F;
block[SCALES_OFFSET + 1] = 0x3C;
block[QS_OFFSET + SIGNS_IN_QS] = 0x0F;
let mut ref_out = vec![0.0f32; BLOCK_SIZE];
Iq2SRef.dequant_block(&block, &mut ref_out).unwrap();
let mut avx_out = vec![0.0f32; BLOCK_SIZE];
Iq2SAvx2.dequant_block(&block, &mut avx_out).unwrap();
for (i, (r, a)) in ref_out.iter().zip(avx_out.iter()).enumerate() {
assert!((r - a).abs() < 1e-5, "mismatch at [{i}]: ref={r}, avx={a}");
}
}
#[test]
fn gemv_matches_dequant_dot_ones() {
if !is_x86_feature_detected!("avx2") {
return;
}
let block = make_zero_block(0.5);
let mut dequant = vec![0.0f32; BLOCK_SIZE];
Iq2SAvx2.dequant_block(&block, &mut dequant).unwrap();
let expected: f32 = dequant.iter().sum();
let input = vec![1.0f32; BLOCK_SIZE];
let tensor = crate::types::QuantTensor::new(
block.clone(),
vec![1, BLOCK_SIZE],
oxillama_gguf::GgufTensorType::Iq2S,
);
let mut output = vec![0.0f32; 1];
Iq2SAvx2.gemv(&tensor, &input, &mut output).unwrap();
assert!(
(output[0] - expected).abs() < 1e-4,
"gemv={}, expected={}",
output[0],
expected
);
}
}