oxillama-quant 0.1.3

Quantization kernels for all GGUF quantization types
Documentation
//! AVX-512 accelerated TQ2_0 quantization kernel.
//!
//! TQ2_0 block format (66 bytes per 256 weights):
//! - bytes[0..64]  — `qs`: 256 × 2-bit ternary codes, 4 per byte.
//!   Each code `c` maps to ternary value `c - 1` ∈ {-1, 0, +1}.
//! - bytes[64..66] — FP16 scale `d` (little-endian).
//!
//! Strategy: scalar decode → `[i8; 256]` → AVX-512 i8→f32 scale multiply.
//! 256 values are processed in 16 chunks of 16 via `_mm512_cvtepi8_epi32`.

#![cfg(all(feature = "simd-avx512", target_arch = "x86_64"))]

use core::arch::x86_64::*;

use crate::error::{QuantError, QuantResult};
use crate::simd::avx512::util::{f16_to_f32, hsum_f32_avx512};
use crate::traits::QuantKernel;
use crate::types::QuantTensor;

/// Block size for TQ2_0: 256 weights per block.
pub const BLOCK_SIZE: usize = 256;
/// Bytes per TQ2_0 block: 64 (qs) + 2 (d).
pub const BLOCK_BYTES: usize = 66;
/// Byte offset of the FP16 scale `d`.
const D_OFFSET: usize = 64;

/// AVX-512 accelerated TQ2_0 kernel.
///
/// Requires the `avx512f` CPU feature. The [`crate::dispatch::KernelDispatcher`]
/// checks for this at runtime before constructing this kernel.
pub struct Tq2_0Avx512;

impl QuantKernel for Tq2_0Avx512 {
    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(),
            });
        }
        // SAFETY: bounds checked above; CPU feature guaranteed by KernelDispatcher.
        unsafe { dequant_block_avx512(block, output) }
        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;
            // SAFETY: bounds checked above; CPU feature guaranteed by KernelDispatcher.
            *out = unsafe {
                gemv_row_avx512(
                    &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 {
        "TQ2_0"
    }
}

// ---------------------------------------------------------------------------
// Internal AVX-512 kernels
// ---------------------------------------------------------------------------

/// Decode 64 qs bytes into an `[i8; 256]` scratch buffer of ternary values.
///
/// # Safety
/// `block.len() >= 64` — guaranteed by callers.
#[inline(always)]
unsafe fn decode_vals(block: &[u8]) -> [i8; BLOCK_SIZE] {
    let mut vals = [0i8; BLOCK_SIZE];
    for (i, &byte) in block[..64].iter().enumerate() {
        vals[i * 4] = (byte & 0x03) as i8 - 1;
        vals[i * 4 + 1] = ((byte >> 2) & 0x03) as i8 - 1;
        vals[i * 4 + 2] = ((byte >> 4) & 0x03) as i8 - 1;
        vals[i * 4 + 3] = ((byte >> 6) & 0x03) as i8 - 1;
    }
    vals
}

/// Dequantize one 66-byte TQ2_0 block to 256 FP32 values using AVX-512.
///
/// # Safety
/// - `block.len() >= 66`
/// - `output.len() >= 256`
/// - CPU must support `avx512f`
#[target_feature(enable = "avx512f")]
unsafe fn dequant_block_avx512(block: &[u8], output: &mut [f32]) {
    // SAFETY: block.len() >= 66 ≥ D_OFFSET + 2 — guaranteed by caller.
    let d = f16_to_f32(&block[D_OFFSET..]);
    let vscale = _mm512_set1_ps(d);

    // Scalar decode 64 qs bytes → 256 i8 ternary values.
    // SAFETY: block.len() >= 66 ≥ 64.
    let vals = decode_vals(block);

    // AVX-512: process 16 values per iteration (16 × 16 = 256).
    for chunk in 0..16_usize {
        let base = chunk * 16;
        // SAFETY: base + 16 ≤ 256 = vals.len() — loop invariant.
        let vi8_128 = _mm_loadu_si128(vals.as_ptr().add(base) as *const __m128i);
        let vi32 = _mm512_cvtepi8_epi32(vi8_128);
        let vf32 = _mm512_cvtepi32_ps(vi32);
        let result = _mm512_mul_ps(vf32, vscale);
        // SAFETY: base + 16 ≤ 256 = output.len() — guaranteed by caller & loop.
        _mm512_storeu_ps(output.as_mut_ptr().add(base), result);
    }
}

/// Compute one row of a gemv for TQ2_0 using AVX-512.
///
/// # Safety
/// - `row_data.len() >= blocks_per_row * BLOCK_BYTES`
/// - `input.len() >= n_cols`
/// - CPU must support `avx512f`
#[target_feature(enable = "avx512f")]
unsafe fn gemv_row_avx512(
    row_data: &[u8],
    input: &[f32],
    blocks_per_row: usize,
    n_cols: usize,
) -> f32 {
    let mut acc_vec = _mm512_setzero_ps();
    let mut acc_scalar = 0.0f32;

    for blk in 0..blocks_per_row {
        let bo = blk * BLOCK_BYTES;
        let block = &row_data[bo..bo + BLOCK_BYTES];
        let col_base = blk * BLOCK_SIZE;
        let cols_in_block = (n_cols - col_base).min(BLOCK_SIZE);

        // SAFETY: block.len() == BLOCK_BYTES ≥ D_OFFSET + 2.
        let d = f16_to_f32(&block[D_OFFSET..]);
        let vscale = _mm512_set1_ps(d);

        // SAFETY: block.len() >= 66 ≥ 64.
        let vals = decode_vals(block);

        // Vectorised FMA: 16 values per iteration.
        let full_chunks = cols_in_block / 16;
        for chunk in 0..full_chunks {
            let base = chunk * 16;
            // SAFETY: base + 16 ≤ cols_in_block ≤ BLOCK_SIZE = vals.len().
            let vi8_128 = _mm_loadu_si128(vals.as_ptr().add(base) as *const __m128i);
            let vi32 = _mm512_cvtepi8_epi32(vi8_128);
            let vf32 = _mm512_cvtepi32_ps(vi32);
            let wf32 = _mm512_mul_ps(vf32, vscale);
            // SAFETY: col_base + base + 16 ≤ n_cols — guaranteed by full_chunks bound.
            let inp = _mm512_loadu_ps(input.as_ptr().add(col_base + base));
            acc_vec = _mm512_fmadd_ps(wf32, inp, acc_vec);
        }

        // Scalar tail.
        for i in (full_chunks * 16)..cols_in_block {
            acc_scalar += vals[i] as f32 * d * input[col_base + i];
        }
    }

    // SAFETY: avx512f — guaranteed by target_feature.
    hsum_f32_avx512(acc_vec) + acc_scalar
}

// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------

#[cfg(test)]
mod tests {
    use super::*;

    fn make_block(qs_byte: u8) -> [u8; BLOCK_BYTES] {
        let mut block = [qs_byte; BLOCK_BYTES];
        // d = 1.0f16 = 0x3C00
        block[D_OFFSET] = 0x00;
        block[D_OFFSET + 1] = 0x3C;
        block
    }

    fn ref_decode(block: &[u8]) -> [f32; 256] {
        use crate::reference::Tq2_0Ref;
        use crate::traits::QuantKernel;
        let mut out = [0.0f32; 256];
        Tq2_0Ref
            .dequant_block(block, &mut out)
            .expect("ref decode failed");
        out
    }

    #[test]
    #[cfg(target_arch = "x86_64")]
    fn tq2_0_avx512_zero_qs_neg1() {
        if !std::arch::is_x86_feature_detected!("avx512f") {
            return;
        }
        // qs=0x00: all 2-bit codes = 0 → ternary -1.
        let block = make_block(0x00);
        let mut out = [0.0f32; 256];
        Tq2_0Avx512
            .dequant_block(&block, &mut out)
            .expect("dequant failed");
        for (i, &v) in out.iter().enumerate() {
            assert!(
                (v - (-1.0f32)).abs() < 1e-6,
                "output[{i}] = {v}, expected -1.0"
            );
        }
    }

    #[test]
    #[cfg(target_arch = "x86_64")]
    fn tq2_0_avx512_matches_reference() {
        if !std::arch::is_x86_feature_detected!("avx512f") {
            return;
        }
        let block = make_block(0x55);
        let ref_out = ref_decode(&block);
        let mut avx_out = [0.0f32; 256];
        Tq2_0Avx512
            .dequant_block(&block, &mut avx_out)
            .expect("avx512 dequant failed");
        for (i, (&r, &a)) in ref_out.iter().zip(avx_out.iter()).enumerate() {
            assert!(
                (r - a).abs() < 1e-6,
                "mismatch at [{i}]: ref={r}, avx512={a}"
            );
        }
    }
}