hanzo-ml 0.11.96

Fast multi-backend tensor & ML framework for Rust (CPU/CUDA/Metal/Vulkan/ROCm) with quantization — the compute core of the Hanzo stack.
Documentation
use super::{Cpu, CpuBF16, CpuF16};
#[cfg(target_arch = "x86")]
use core::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use core::arch::x86_64::*;
use half::{bf16, f16};
use std::{is_x86_feature_detected, mem::transmute};

pub struct CurrentCpu {}

const STEP: usize = 32;
const EPR: usize = 8;
const ARR: usize = STEP / EPR;

impl Cpu for CurrentCpu {
    type Unit = __m256;
    type Array = [__m256; ARR];

    const STEP: usize = STEP;
    const EPR: usize = EPR;
    const ARR: usize = ARR;

    unsafe fn zero() -> Self::Unit {
        _mm256_setzero_ps()
    }

    unsafe fn zero_array() -> Self::Array {
        [Self::zero(); ARR]
    }

    unsafe fn from_f32(v: f32) -> Self::Unit {
        _mm256_set1_ps(v)
    }

    unsafe fn load(mem_addr: *const f32) -> Self::Unit {
        _mm256_loadu_ps(mem_addr)
    }

    unsafe fn vec_add(a: Self::Unit, b: Self::Unit) -> Self::Unit {
        _mm256_add_ps(a, b)
    }

    unsafe fn vec_fma(a: Self::Unit, b: Self::Unit, c: Self::Unit) -> Self::Unit {
        _mm256_add_ps(_mm256_mul_ps(b, c), a)
    }

    unsafe fn vec_store(mem_addr: *mut f32, a: Self::Unit) {
        _mm256_storeu_ps(mem_addr, a);
    }

    unsafe fn vec_reduce(mut x: Self::Array, y: *mut f32) {
        for i in 0..ARR / 2 {
            x[2 * i] = _mm256_add_ps(x[2 * i], x[2 * i + 1]);
        }
        for i in 0..ARR / 4 {
            x[4 * i] = _mm256_add_ps(x[4 * i], x[4 * i + 2]);
        }
        #[allow(clippy::reversed_empty_ranges)]
        for i in 0..ARR / 8 {
            x[8 * i] = _mm256_add_ps(x[8 * i], x[8 * i + 4]);
        }
        let t0 = _mm_add_ps(_mm256_castps256_ps128(x[0]), _mm256_extractf128_ps(x[0], 1));
        let t1 = _mm_hadd_ps(t0, t0);
        *y = _mm_cvtss_f32(_mm_hadd_ps(t1, t1));
    }
}

pub struct CurrentCpuF16 {}
impl CpuF16 for CurrentCpuF16 {
    type Unit = __m256;
    type Array = [__m256; ARR];

    const STEP: usize = STEP;
    const EPR: usize = EPR;
    const ARR: usize = ARR;

    unsafe fn zero() -> Self::Unit {
        _mm256_setzero_ps()
    }

    unsafe fn zero_array() -> Self::Array {
        [Self::zero(); ARR]
    }

    unsafe fn from_f32(v: f32) -> Self::Unit {
        _mm256_set1_ps(v)
    }

    #[cfg(target_feature = "f16c")]
    unsafe fn load(mem_addr: *const f16) -> Self::Unit {
        _mm256_cvtph_ps(_mm_loadu_si128(mem_addr as *const __m128i))
    }

    #[cfg(not(target_feature = "f16c"))]
    unsafe fn load(mem_addr: *const f16) -> Self::Unit {
        let mut tmp = [0.0f32; 8];
        for i in 0..8 {
            tmp[i] = (*mem_addr.add(i)).to_f32();
        }
        _mm256_loadu_ps(tmp.as_ptr())
    }

    unsafe fn vec_add(a: Self::Unit, b: Self::Unit) -> Self::Unit {
        _mm256_add_ps(a, b)
    }

    unsafe fn vec_fma(a: Self::Unit, b: Self::Unit, c: Self::Unit) -> Self::Unit {
        _mm256_add_ps(_mm256_mul_ps(b, c), a)
    }

    #[cfg(target_feature = "f16c")]
    unsafe fn vec_store(mem_addr: *mut f16, a: Self::Unit) {
        _mm_storeu_si128(mem_addr as *mut __m128i, _mm256_cvtps_ph(a, 0))
    }

    #[cfg(not(target_feature = "f16c"))]
    unsafe fn vec_store(mem_addr: *mut f16, a: Self::Unit) {
        let mut tmp = [0.0f32; 8];
        _mm256_storeu_ps(tmp.as_mut_ptr(), a);
        for i in 0..8 {
            *mem_addr.add(i) = f16::from_f32(tmp[i]);
        }
    }

    unsafe fn vec_reduce(mut x: Self::Array, y: *mut f32) {
        let mut offset = ARR >> 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        offset >>= 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        offset >>= 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        let t0 = _mm_add_ps(_mm256_castps256_ps128(x[0]), _mm256_extractf128_ps(x[0], 1));
        let t1 = _mm_hadd_ps(t0, t0);
        *y = _mm_cvtss_f32(_mm_hadd_ps(t1, t1));
    }
}

pub struct CurrentCpuBF16 {}
impl CpuBF16 for CurrentCpuBF16 {
    type Unit = __m256;
    type Array = [__m256; ARR];

    const STEP: usize = STEP;
    const EPR: usize = EPR;
    const ARR: usize = ARR;

    unsafe fn zero() -> Self::Unit {
        _mm256_setzero_ps()
    }

    unsafe fn zero_array() -> Self::Array {
        [Self::zero(); ARR]
    }

    unsafe fn from_f32(v: f32) -> Self::Unit {
        _mm256_set1_ps(v)
    }

    unsafe fn load(mem_addr: *const bf16) -> Self::Unit {
        if is_x86_feature_detected!("avx512bf16") && is_x86_feature_detected!("avx512vl") {
            _mm256_cvtpbh_ps(transmute::<__m128i, __m128bh>(_mm_loadu_si128(
                mem_addr as *const __m128i,
            )))
        } else {
            let mut tmp = [0.0f32; 8];
            for i in 0..8 {
                tmp[i] = (*mem_addr.add(i)).to_f32();
            }
            _mm256_loadu_ps(tmp.as_ptr())
        }
    }

    unsafe fn vec_add(a: Self::Unit, b: Self::Unit) -> Self::Unit {
        _mm256_add_ps(a, b)
    }

    unsafe fn vec_fma(a: Self::Unit, b: Self::Unit, c: Self::Unit) -> Self::Unit {
        _mm256_add_ps(_mm256_mul_ps(b, c), a)
    }

    unsafe fn vec_store(mem_addr: *mut bf16, a: Self::Unit) {
        if is_x86_feature_detected!("avx512bf16") && is_x86_feature_detected!("avx512vl") {
            _mm_storeu_si128(
                mem_addr as *mut __m128i,
                transmute::<__m128bh, __m128i>(_mm256_cvtneps_pbh(a)),
            )
        } else {
            let mut tmp = [0.0f32; 8];
            _mm256_storeu_ps(tmp.as_mut_ptr(), a);
            for i in 0..8 {
                *mem_addr.add(i) = bf16::from_f32(tmp[i]);
            }
        }
    }

    unsafe fn vec_reduce(mut x: Self::Array, y: *mut f32) {
        let mut offset = ARR >> 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        offset >>= 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        offset >>= 1;
        for i in 0..offset {
            x[i] = _mm256_add_ps(x[i], x[offset + i]);
        }
        let t0 = _mm_add_ps(_mm256_castps256_ps128(x[0]), _mm256_extractf128_ps(x[0], 1));
        let t1 = _mm_hadd_ps(t0, t0);
        *y = _mm_cvtss_f32(_mm_hadd_ps(t1, t1));
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_dot_f32(a_row: *const f32, b_row: *const f32, c: *mut f32, k: usize) {
    let mut sum = CurrentCpu::zero_array();
    let mut i = 0;
    while i + CurrentCpu::STEP <= k {
        for j in 0..CurrentCpu::ARR {
            sum[j] = CurrentCpu::vec_fma(
                sum[j],
                CurrentCpu::load(a_row.add(i + j * CurrentCpu::EPR)),
                CurrentCpu::load(b_row.add(i + j * CurrentCpu::EPR)),
            );
        }
        i += CurrentCpu::STEP;
    }
    CurrentCpu::vec_reduce(sum, c);
    while i < k {
        *c += *a_row.add(i) * (*b_row.add(i));
        i += 1;
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_sum(row: *const f32, b: *mut f32, k: usize) {
    let np = k & !(CurrentCpu::STEP - 1);
    let mut sum = CurrentCpu::zero_array();
    let mut x = CurrentCpu::zero_array();
    for i in (0..np).step_by(CurrentCpu::STEP) {
        for j in 0..CurrentCpu::ARR {
            x[j] = CurrentCpu::load(row.add(i + j * CurrentCpu::EPR));
            sum[j] = CurrentCpu::vec_add(sum[j], x[j]);
        }
    }
    CurrentCpu::vec_reduce(sum, b);
    for i in np..k {
        *b += *row.add(i)
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_dot_f16(a_row: *const f16, b_row: *const f16, c: *mut f32, k: usize) {
    let mut sumf = 0.0f32;
    let mut sum = CurrentCpuF16::zero_array();
    let mut steps_since_flush = 0usize;
    let mut i = 0;
    while i + CurrentCpuF16::STEP <= k {
        for j in 0..CurrentCpuF16::ARR {
            sum[j] = CurrentCpuF16::vec_fma(
                sum[j],
                CurrentCpuF16::load(a_row.add(i + j * CurrentCpuF16::EPR)),
                CurrentCpuF16::load(b_row.add(i + j * CurrentCpuF16::EPR)),
            );
        }
        steps_since_flush += 1;
        if steps_since_flush == CurrentCpuF16::FLUSH_INTERVAL {
            let mut partial = 0.0f32;
            CurrentCpuF16::vec_reduce(sum, &mut partial);
            sumf += partial;
            sum = CurrentCpuF16::zero_array();
            steps_since_flush = 0;
        }
        i += CurrentCpuF16::STEP;
    }
    let mut partial = 0.0f32;
    CurrentCpuF16::vec_reduce(sum, &mut partial);
    sumf += partial;
    while i < k {
        sumf += (*a_row.add(i)).to_f32() * (*b_row.add(i)).to_f32();
        i += 1;
    }
    *c = sumf;
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_dot_bf16(a_row: *const bf16, b_row: *const bf16, c: *mut f32, k: usize) {
    let mut sum = CurrentCpuBF16::zero_array();
    let mut i = 0;
    while i + CurrentCpuBF16::STEP <= k {
        for j in 0..CurrentCpuBF16::ARR {
            sum[j] = CurrentCpuBF16::vec_fma(
                sum[j],
                CurrentCpuBF16::load(a_row.add(i + j * CurrentCpuBF16::EPR)),
                CurrentCpuBF16::load(b_row.add(i + j * CurrentCpuBF16::EPR)),
            );
        }
        i += CurrentCpuBF16::STEP;
    }
    CurrentCpuBF16::vec_reduce(sum, c);
    while i < k {
        *c += (*a_row.add(i)).to_f32() * (*b_row.add(i)).to_f32();
        i += 1;
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_add_f16(a_row: *const f16, b_row: *const f16, c: *mut f16, k: usize) {
    let mut i = 0;
    while i + CurrentCpuF16::STEP <= k {
        for j in 0..CurrentCpuF16::ARR {
            CurrentCpuF16::vec_store(
                c.add(i + j * CurrentCpuF16::EPR),
                CurrentCpuF16::vec_add(
                    CurrentCpuF16::load(a_row.add(i + j * CurrentCpuF16::EPR)),
                    CurrentCpuF16::load(b_row.add(i + j * CurrentCpuF16::EPR)),
                ),
            );
        }
        i += CurrentCpuF16::STEP;
    }
    for j in i..k {
        *c.add(j) = *a_row.add(j) + *b_row.add(j);
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_add_bf16(a_row: *const bf16, b_row: *const bf16, c: *mut bf16, k: usize) {
    let mut i = 0;
    while i + CurrentCpuBF16::STEP <= k {
        for j in 0..CurrentCpuBF16::ARR {
            CurrentCpuBF16::vec_store(
                c.add(i + j * CurrentCpuBF16::EPR),
                CurrentCpuBF16::vec_add(
                    CurrentCpuBF16::load(a_row.add(i + j * CurrentCpuBF16::EPR)),
                    CurrentCpuBF16::load(b_row.add(i + j * CurrentCpuBF16::EPR)),
                ),
            );
        }
        i += CurrentCpuBF16::STEP;
    }
    for j in i..k {
        *c.add(j) = *a_row.add(j) + *b_row.add(j);
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_scalar_add_f16(scalar: f16, xs: *const f16, ys: *mut f16, k: usize) {
    let sv = CurrentCpuF16::from_f32(scalar.to_f32());
    let mut i = 0;
    while i + CurrentCpuF16::STEP <= k {
        for j in 0..CurrentCpuF16::ARR {
            CurrentCpuF16::vec_store(
                ys.add(i + j * CurrentCpuF16::EPR),
                CurrentCpuF16::vec_add(CurrentCpuF16::load(xs.add(i + j * CurrentCpuF16::EPR)), sv),
            );
        }
        i += CurrentCpuF16::STEP;
    }
    for j in i..k {
        *ys.add(j) = *xs.add(j) + scalar;
    }
}

#[target_feature(enable = "avx2")]
pub(crate) unsafe fn vec_scalar_add_bf16(scalar: bf16, xs: *const bf16, ys: *mut bf16, k: usize) {
    let sv = CurrentCpuBF16::from_f32(scalar.to_f32());
    let mut i = 0;
    while i + CurrentCpuBF16::STEP <= k {
        for j in 0..CurrentCpuBF16::ARR {
            CurrentCpuBF16::vec_store(
                ys.add(i + j * CurrentCpuBF16::EPR),
                CurrentCpuBF16::vec_add(
                    CurrentCpuBF16::load(xs.add(i + j * CurrentCpuBF16::EPR)),
                    sv,
                ),
            );
        }
        i += CurrentCpuBF16::STEP;
    }
    for j in i..k {
        *ys.add(j) = *xs.add(j) + scalar;
    }
}