matrixmultiply 0.3.10

General matrix multiplication for f32 and f64 matrices. Operates on matrices with general layout (they can use arbitrary row and column stride). Detects and uses AVX or SSE2 on x86 platforms transparently for higher performance. Uses a microkernel strategy, so that the implementation is easy to parallelize and optimize. Supports multithreading.
Documentation
// Copyright 2021-2023 Ulrik Sverdrup "bluss"
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.

use core::mem;
use core::ptr::copy_nonoverlapping;

use rawpointer::PointerExt;

use crate::kernel::Element;
use crate::kernel::ConstNum;

#[cfg(feature = "std")]
macro_rules! fmuladd {
    // conceptually $dst += $a * $b, optionally use fused multiply-add
    (fma_yes, $dst:expr, $a:expr, $b:expr) => {
        {
            $dst = $a.mul_add($b, $dst);
        }
    };
    (fma_no, $dst:expr, $a:expr, $b:expr) => {
        {
            $dst += $a * $b;
        }
    };
}

#[cfg(not(feature = "std"))]
macro_rules! fmuladd {
    ($any:tt, $dst:expr, $a:expr, $b:expr) => {
        {
            $dst += $a * $b;
        }
    };
}


// kernel fallback impl macro
// Depends on a couple of macro and function defitions to be in scope - loop_m/_n, at, etc.
// $fma_opt: fma_yes or fma_no to use f32::mul_add etc or not
macro_rules! kernel_fallback_impl_complex {
    ([$($attr:meta)*] [$fma_opt:tt] $name:ident, $elem_ty:ty, $real_ty:ty, $mr:expr, $nr:expr, $unroll:tt) => {
    $(#[$attr])*
    unsafe fn $name(k: usize, alpha: $elem_ty, a: *const $elem_ty, b: *const $elem_ty,
                    beta: $elem_ty, c: *mut $elem_ty, rsc: isize, csc: isize)
    {
        const MR: usize = $mr;
        const NR: usize = $nr;

        debug_assert_eq!(beta, <$elem_ty>::zero(), "Beta must be 0 or is not masked");

        let mut pp  = [<$real_ty>::zero(); MR];
        let mut qq  = [<$real_ty>::zero(); MR];
        let mut rr  = [<$real_ty>::zero(); NR];
        let mut ss  = [<$real_ty>::zero(); NR];

        let mut ab: [[$elem_ty; NR]; MR] = [[<$elem_ty>::zero(); NR]; MR];
        let mut areal = a as *const $real_ty;
        let mut breal = b as *const $real_ty;

        unroll_by!($unroll => k, {
            // We set:
            // P + Q i = A
            // R + S i = B
            //
            // see pack_complex for how data is packed
            let aimag = areal.add(MR);
            let bimag = breal.add(NR);

            // AB = PR - QS + i (QR + PS)
            loop_m!(i, {
                pp[i] = at(areal, i);
                qq[i] = at(aimag, i);
            });
            loop_n!(j, {
                rr[j] = at(breal, j);
                ss[j] = at(bimag, j);
            });
            loop_m!(i, {
                loop_n!(j, {
                    // optionally use fma
                    fmuladd!($fma_opt, ab[i][j][0], pp[i], rr[j]);
                    fmuladd!($fma_opt, ab[i][j][1], pp[i], ss[j]);
                    fmuladd!($fma_opt, ab[i][j][0], -qq[i], ss[j]);
                    fmuladd!($fma_opt, ab[i][j][1], qq[i], rr[j]);
                })
            });

            areal = aimag.add(MR);
            breal = bimag.add(NR);
        });

        macro_rules! c {
            ($i:expr, $j:expr) => (c.offset(rsc * $i as isize + csc * $j as isize));
        }

        // set C = α A B
        loop_n!(j, loop_m!(i, *c![i, j] = mul(alpha, ab[i][j])));
    }
    };
}

/// GemmKernel packing trait methods
macro_rules! pack_methods {
    () => {
        #[inline]
        unsafe fn pack_mr(kc: usize, mc: usize, pack: &mut [Self::Elem],
                          a: *const Self::Elem, rsa: isize, csa: isize)
        {
            pack_complex::<Self::MRTy, T, TReal>(kc, mc, pack, a, rsa, csa)
        }

        #[inline]
        unsafe fn pack_nr(kc: usize, mc: usize, pack: &mut [Self::Elem],
                        a: *const Self::Elem, rsa: isize, csa: isize)
        {
            pack_complex::<Self::NRTy, T, TReal>(kc, mc, pack, a, rsa, csa)
        }
    }
}


/// Pack complex: similar to general packing but separate rows for real and imag parts.
///
/// Source matrix contains [p0 + q0i, p1 + q1i, p2 + q2i, ..] and it's packed into
/// alternate rows of real and imaginary parts.
///
/// [ p0 p1 p2 p3 .. (MR repeats)
///   q0 q1 q2 q3 .. (MR repeats)
///   px p_ p_ p_ .. (x = MR)
///   qx q_ q_ q_ .. (x = MR)
///   py p_ p_ p_ .. (y = 2 * MR)
///   qy q_ q_ q_ .. (y = 2 * MR)
///   ...
/// ]
pub(crate) unsafe fn pack_complex<MR, T, TReal>(kc: usize, mc: usize, pack: &mut [T],
                                                a: *const T, rsa: isize, csa: isize)
    where MR: ConstNum,
          T: Element,
          TReal: Element,
{
    // use pointers as pointer to TReal
    let pack = pack.as_mut_ptr() as *mut TReal;
    let areal = a as *const TReal;
    let aimag = areal.add(1);

    assert_eq!(mem::size_of::<T>(), 2 * mem::size_of::<TReal>());

    let mr = MR::VALUE;
    let mut p = 0; // offset into pack

    // general layout case (no contig case when stride != 1)
    for ir in 0..mc/mr {
        let row_offset = ir * mr;
        for j in 0..kc {
            // real row
            for i in 0..mr {
                let a_elt = areal.stride_offset(2 * rsa, i + row_offset)
                                 .stride_offset(2 * csa, j);
                copy_nonoverlapping(a_elt, pack.add(p), 1);
                p += 1;
            }
            // imag row
            for i in 0..mr {
                let a_elt = aimag.stride_offset(2 * rsa, i + row_offset)
                                 .stride_offset(2 * csa, j);
                copy_nonoverlapping(a_elt, pack.add(p), 1);
                p += 1;
            }
        }
    }

    let zero = TReal::zero();

    // Pad with zeros to multiple of kernel size (uneven mc)
    let rest = mc % mr;
    if rest > 0 {
        let row_offset = (mc/mr) * mr;
        for j in 0..kc {
            // real row
            for i in 0..mr {
                if i < rest {
                    let a_elt = areal.stride_offset(2 * rsa, i + row_offset)
                                     .stride_offset(2 * csa, j);
                    copy_nonoverlapping(a_elt, pack.add(p), 1);
                } else {
                    *pack.add(p) = zero;
                }
                p += 1;
            }
            // imag row
            for i in 0..mr {
                if i < rest {
                    let a_elt = aimag.stride_offset(2 * rsa, i + row_offset)
                                     .stride_offset(2 * csa, j);
                    copy_nonoverlapping(a_elt, pack.add(p), 1);
                } else {
                    *pack.add(p) = zero;
                }
                p += 1;
            }
        }
    }
}