gemmkit 0.1.1

A clean, extensible, high-performance GEMM (general matrix multiply) engine
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
//! The mixed-precision GEMM families: narrow (`f16`/`bf16`) inputs, `f32` accumulator,
//! narrow or `f32` output
//!
//! [`MixedGemm`]/[`Bf16DotGemm`] are structurally close to [`super::float::FloatGemm`], but
//! every input reaches the kernel through the [`KernelSimd`] widen-load seam (A and B widen
//! to `f32` on load, products accumulate in `f32`) and the store narrows once, on the way
//! out. [`MixedGemmF32`]/[`Bf16DotGemmF32`] are the `Out = f32` twins that back the
//! deep-contraction dispatch route: same pack layout and accumulate, but `Out == Acc` lets
//! the driver's normal multi-slice K blocking apply

use core::marker::PhantomData;

use super::epilogue::Epilogue;
use super::{AlphaStatus, BetaStatus, KernelFamily};
use crate::pack::{pack_kgroup_panels, pack_panels};
use crate::scalar::NarrowFloat;
use crate::simd::{KernelSimd, SimdOps};

/// Widen-load A/B and fold `MR_REG x NR` products into `acc` over `kc` depth steps
///
/// Shared by [`MixedGemm::microkernel_epi`] and [`MixedGemmF32::microkernel_epi`], the
/// hot loop factored out of both. `acc` is not zeroed here: the narrow-output family always
/// hands it a fresh zero, but the `f32`-output twin may hand it a seed loaded from the
/// running partial `C`, so this function just continues whatever chain the caller started.
/// Generic over the `KernelSimd` output type `O` so both callers drive it: only
/// `load_lhs`/`splat_rhs` are used, which widen `N -> f32` identically regardless of `O`
/// (the `f32`-output impls forward to the narrow ones), so the 2 callers accumulate bit-for-bit
/// the same value
///
/// # Safety
/// As [`KernelFamily::microkernel`]; run inside `S`'s [`crate::simd::Simd::vectorize`]
#[allow(clippy::too_many_arguments, clippy::needless_range_loop)]
#[inline(always)]
unsafe fn mixed_accumulate<N, S, O, const MR_REG: usize, const NR: usize>(
    simd: S,
    kc: usize,
    a: *const N,
    a_cs: isize,
    b: *const N,
    b_rs: isize,
    b_cs: isize,
    nr_eff: usize,
    acc: &mut [[<S as SimdOps<f32>>::Reg; MR_REG]; NR],
) where
    N: NarrowFloat,
    O: crate::scalar::Scalar,
    S: KernelSimd<N, N, f32, O>,
{
    unsafe {
        let lanes = <S as SimdOps<f32>>::LANES;
        if nr_eff == NR {
            // Full tile: NR is a const bound, so the column loop fully unrolls
            for p in 0..kc {
                let pa = a.offset(p as isize * a_cs);
                let a_regs: [<S as SimdOps<f32>>::Reg; MR_REG] =
                    core::array::from_fn(|i| simd.load_lhs(pa.add(i * lanes)));
                let pb = b.offset(p as isize * b_rs);
                for j in 0..NR {
                    let bj = simd.splat_rhs(*pb.offset(j as isize * b_cs));
                    for i in 0..MR_REG {
                        acc[j][i] = simd.mul_add(a_regs[i], bj, acc[j][i]);
                    }
                }
            }
        } else {
            // Edge tile: bound the column loop to nr_eff so an unpacked B is never read
            // past its last real column; acc[nr_eff..] stays whatever the caller seeded
            for p in 0..kc {
                let pa = a.offset(p as isize * a_cs);
                let a_regs: [<S as SimdOps<f32>>::Reg; MR_REG] =
                    core::array::from_fn(|i| simd.load_lhs(pa.add(i * lanes)));
                let pb = b.offset(p as isize * b_rs);
                for j in 0..nr_eff {
                    let bj = simd.splat_rhs(*pb.offset(j as isize * b_cs));
                    for i in 0..MR_REG {
                        acc[j][i] = simd.mul_add(a_regs[i], bj, acc[j][i]);
                    }
                }
            }
        }
    }
}

/// Fold `alpha` into `acc`, apply the fused epilogue `E`, and store to the narrow `Out = N`
///
/// Shared verbatim by [`MixedGemm`] (widen-and-FMA) and [`Bf16DotGemm`] (`vdpbf16ps` dot):
/// the 2 differ only in how `acc` is produced, so the identical `f32`-acc / narrow-`Out`
/// store logic lives here once. Both families are `OUT_IS_ACC = false`, so the driver runs a
/// single depth panel (`kc = k`) and `E` applies unconditionally here, once per element, with
/// no `last_k` check needed. With `E = Identity` every epilogue hook const-folds away, so the
/// call is byte-for-byte the pre-epilogue kernel
///
/// # Safety
/// As [`KernelFamily::microkernel`]; run inside `S`'s [`crate::simd::Simd::vectorize`]. `E`'s
/// interior pointers must be valid for the problem's `m`/`n`
#[allow(clippy::too_many_arguments, clippy::needless_range_loop)]
#[inline(always)]
unsafe fn mixed_epilogue<Fam, N, S, E, const MR_REG: usize, const NR: usize>(
    simd: S,
    alpha: f32,
    beta: f32,
    alpha_status: AlphaStatus,
    beta_status: BetaStatus,
    acc: &mut [[<S as SimdOps<f32>>::Reg; MR_REG]; NR],
    c: *mut N,
    rsc: isize,
    csc: isize,
    mr_eff: usize,
    nr_eff: usize,
    row0: usize,
    col0: usize,
    epi: &E,
    scratch: *mut f32,
) where
    N: NarrowFloat,
    Fam: KernelFamily<Lhs = N, Rhs = N, Acc = f32, Out = N>,
    S: KernelSimd<N, N, f32, N>,
    E: Epilogue<Fam>,
{
    unsafe {
        let lanes = <S as SimdOps<f32>>::LANES;
        let mr = MR_REG * lanes;

        // fold alpha into the f32 accumulators; skip the multiply entirely when alpha == 1
        if alpha_status == AlphaStatus::Other {
            let av = simd.splat(alpha);
            for j in 0..NR {
                for i in 0..MR_REG {
                    acc[j][i] = simd.mul(acc[j][i], av);
                }
            }
        }

        // A scalar-only epilogue has no apply_reg, so it must take the scratch route below
        // for every tile; Identity and any VECTOR epilogue can take the vector route
        // whenever the tile itself is full and column-major
        if (E::IS_IDENTITY || E::VECTOR) && mr_eff == mr && nr_eff == NR && rsc == 1 {
            // Vector widen-load / store of the full tile; apply_reg transforms the f32
            // register and store_out performs the single narrowing to N
            match beta_status {
                BetaStatus::Zero => {
                    for j in 0..NR {
                        let col = c.offset(j as isize * csc);
                        for i in 0..MR_REG {
                            let r = acc[j][i];
                            let r = if !E::IS_IDENTITY {
                                epi.apply_reg(simd, r, row0 + i * lanes, col0 + j)
                            } else {
                                r
                            };
                            simd.store_out(col.add(i * lanes), r);
                        }
                    }
                }
                BetaStatus::One => {
                    for j in 0..NR {
                        let col = c.offset(j as isize * csc);
                        for i in 0..MR_REG {
                            let cv = simd.load_out(col.add(i * lanes));
                            let r = simd.add(cv, acc[j][i]);
                            let r = if !E::IS_IDENTITY {
                                epi.apply_reg(simd, r, row0 + i * lanes, col0 + j)
                            } else {
                                r
                            };
                            simd.store_out(col.add(i * lanes), r);
                        }
                    }
                }
                BetaStatus::Other => {
                    let bv = simd.splat(beta);
                    for j in 0..NR {
                        let col = c.offset(j as isize * csc);
                        for i in 0..MR_REG {
                            let cv = simd.load_out(col.add(i * lanes));
                            // beta*C + alpha*AB, in f32
                            let r = simd.mul_add(cv, bv, acc[j][i]);
                            let r = if !E::IS_IDENTITY {
                                epi.apply_reg(simd, r, row0 + i * lanes, col0 + j)
                            } else {
                                r
                            };
                            simd.store_out(col.add(i * lanes), r);
                        }
                    }
                }
            }
        } else {
            // Edge or non-unit-stride tile: drain f32 acc to scratch, then copy back
            // element by element, widening the read of C and narrowing the write
            for j in 0..NR {
                for i in 0..MR_REG {
                    simd.storeu(scratch.add(j * mr + i * lanes), acc[j][i]);
                }
            }
            for j in 0..nr_eff {
                for i in 0..mr_eff {
                    let v = *scratch.add(j * mr + i); // alpha*AB, f32
                    let cp = c.offset(i as isize * rsc + j as isize * csc);
                    let out = match beta_status {
                        BetaStatus::Zero => v,
                        BetaStatus::One => (*cp).widen() + v,
                        BetaStatus::Other => beta * (*cp).widen() + v,
                    };
                    // apply narrows to N itself; the identity branch narrows out directly
                    *cp = if !E::IS_IDENTITY {
                        epi.apply(out, row0 + i, col0 + j)
                    } else {
                        N::narrow(out)
                    };
                }
            }
        }
    }
}

/// The widen-and-FMA mixed-precision GEMM family: `Lhs = Rhs = Out = N` (a [`NarrowFloat`],
/// i.e. `f16` or `bf16`), `Acc = f32`
pub struct MixedGemm<N>(PhantomData<N>);

impl<N> Clone for MixedGemm<N> {
    fn clone(&self) -> Self {
        *self
    }
}
impl<N> Copy for MixedGemm<N> {}

impl<N> KernelFamily for MixedGemm<N>
where
    N: NarrowFloat,
{
    type Lhs = N;
    type Rhs = N;
    type Acc = f32;
    type Out = N;

    // Out (N) is narrower than Acc (f32): rounding a running partial through C at every
    // panel boundary would lose precision, so this forces the driver to kc = k and the
    // whole contraction stays in f32 registers, narrowing to N exactly once
    const OUT_IS_ACC: bool = false;

    #[inline]
    unsafe fn pack_lhs(
        dst: *mut N,
        src: *const N,
        rs: isize,
        cs: isize,
        mc: usize,
        kc: usize,
        mr: usize,
    ) {
        // Plain micropanel copy of the narrow elements; widening happens on load
        unsafe {
            pack_panels(
                dst, src, /*lead*/ rs, /*depth*/ cs, /*n_lead*/ mc, kc, mr,
            )
        }
    }

    #[inline]
    unsafe fn pack_rhs(
        dst: *mut N,
        src: *const N,
        rs: isize,
        cs: isize,
        kc: usize,
        nc: usize,
        nr: usize,
    ) {
        unsafe {
            pack_panels(
                dst, src, /*lead*/ cs, /*depth*/ rs, /*n_lead*/ nc, kc, nr,
            )
        }
    }

    #[allow(clippy::too_many_arguments)]
    #[inline(always)]
    unsafe fn microkernel_epi<S, E, const MR_REG: usize, const NR: usize>(
        simd: S,
        kc: usize,
        alpha: f32,
        beta: f32,
        alpha_status: AlphaStatus,
        beta_status: BetaStatus,
        a: *const N,
        a_cs: isize,
        b: *const N,
        b_rs: isize,
        b_cs: isize,
        c: *mut N,
        rsc: isize,
        csc: isize,
        mr_eff: usize,
        nr_eff: usize,
        row0: usize,
        col0: usize,
        last_k: bool,
        epi: &E,
        scratch: *mut f32,
    ) where
        S: KernelSimd<N, N, f32, N>,
        E: Epilogue<Self>,
    {
        // OUT_IS_ACC = false means the driver always runs a single depth panel (kc = k),
        // so last_k is structurally always true here
        debug_assert!(
            last_k,
            "mixed families are single-panel (kc = k); last_k must be true"
        );
        let _ = last_k;
        unsafe {
            let mut acc: [[<S as SimdOps<f32>>::Reg; MR_REG]; NR] = [[simd.zero(); MR_REG]; NR];
            mixed_accumulate::<N, S, N, MR_REG, NR>(
                simd, kc, a, a_cs, b, b_rs, b_cs, nr_eff, &mut acc,
            );
            mixed_epilogue::<Self, N, S, E, MR_REG, NR>(
                simd,
                alpha,
                beta,
                alpha_status,
                beta_status,
                &mut acc,
                c,
                rsc,
                csc,
                mr_eff,
                nr_eff,
                row0,
                col0,
                epi,
                scratch,
            );
        }
    }
}

/// The bf16 dot GEMM family: `Lhs = Rhs = Out = bf16`, `Acc = f32`, accumulated via
/// AVX-512 BF16 `vdpbf16ps` (2 bf16 depth steps folded per instruction) instead of
/// [`MixedGemm`]'s widen-and-FMA
///
/// A sibling of `MixedGemm<bf16>`, not a branch inside it: `pack_lhs`/`pack_rhs` take no
/// ISA parameter, so the differing k-pair interleave has to be a distinct family. 2 things
/// change versus `MixedGemm<bf16>`:
///
/// * Pack layout (`DEPTH_MULTIPLE = 2`): A and B are k-pair-interleaved, 2 consecutive
///   depth steps stored contiguous per row/column (a `__m512bh` pair) so one `vdpbf16ps`
///   reads a whole pair. Depth pads to a multiple of 2 with bf16 `0`; both operands are
///   always packed (`FORCE_PACK_*`) since the interleave needs the packed layout
/// * Inner loop: `dot_accumulate` replaces the widen-FMA loop. `OUT_IS_ACC = false` still
///   keeps `kc = k`, so the whole contraction accumulates in `f32` and narrows to bf16
///   once; alpha fold and the narrow epilogue reuse `mixed_epilogue` unchanged
///
/// `vdpbf16ps`'s fused 2-term dot rounds differently from the widen-FMA path, so the result
/// is only tolerance-equal to `MixedGemm<bf16>`, not bitwise. It is still fully
/// deterministic: serial, parallel, and prepacked runs all drive the same kernel and pack
/// layout, so they reproduce each other exactly
#[derive(Clone, Copy)]
pub struct Bf16DotGemm(PhantomData<()>);

impl Bf16DotGemm {
    /// Depth steps folded per `vdpbf16ps`
    const Q: usize = 2;
}

impl KernelFamily for Bf16DotGemm {
    type Lhs = half::bf16;
    type Rhs = half::bf16;
    type Acc = f32;
    type Out = half::bf16;

    const OUT_IS_ACC: bool = false;
    const FORCE_PACK_LHS: bool = true;
    const FORCE_PACK_RHS: bool = true;
    const DEPTH_MULTIPLE: usize = Self::Q;

    /// Pack the `mc x kc` LHS k-pair-interleaved: 2 contiguous depth bf16 values per row (a
    /// `__m512bh` pair), values left unchanged. A padded row (past `mc` or `kc`) packs as bf16 `0`
    #[inline]
    unsafe fn pack_lhs(
        dst: *mut half::bf16,
        src: *const half::bf16,
        rs: isize,
        cs: isize,
        mc: usize,
        kc: usize,
        mr: usize,
    ) {
        // lead = rows (rs), depth = cols (cs)
        unsafe {
            pack_kgroup_panels::<half::bf16, { Self::Q }, _>(dst, src, rs, cs, mc, kc, mr, |v| v)
        }
    }

    /// Pack one `kc x nr` RHS panel k-pair-interleaved: 2 contiguous depth bf16 values per
    /// column, so each pair reads back as one `i32` for a single broadcast. Values are left
    /// unchanged; a padded column or depth step packs as bf16 `0`
    #[inline]
    unsafe fn pack_rhs(
        dst: *mut half::bf16,
        src: *const half::bf16,
        rs: isize,
        cs: isize,
        kc: usize,
        nc: usize,
        nr: usize,
    ) {
        // lead = cols (cs), depth = rows (rs)
        unsafe {
            pack_kgroup_panels::<half::bf16, { Self::Q }, _>(dst, src, cs, rs, nc, kc, nr, |v| v)
        }
    }

    #[allow(clippy::too_many_arguments)]
    #[inline(always)]
    unsafe fn microkernel_epi<S, E, const MR_REG: usize, const NR: usize>(
        simd: S,
        kc: usize,
        alpha: f32,
        beta: f32,
        alpha_status: AlphaStatus,
        beta_status: BetaStatus,
        a: *const half::bf16,
        _a_cs: isize,
        b: *const half::bf16,
        _b_rs: isize,
        _b_cs: isize,
        c: *mut half::bf16,
        rsc: isize,
        csc: isize,
        mr_eff: usize,
        nr_eff: usize,
        row0: usize,
        col0: usize,
        last_k: bool,
        epi: &E,
        scratch: *mut f32,
    ) where
        S: KernelSimd<half::bf16, half::bf16, f32, half::bf16>,
        E: Epilogue<Self>,
    {
        // OUT_IS_ACC = false means the driver always runs a single depth panel (kc = k),
        // so last_k is structurally always true here
        debug_assert!(
            last_k,
            "mixed families are single-panel (kc = k); last_k must be true"
        );
        let _ = last_k;
        unsafe {
            let mut acc: [[<S as SimdOps<f32>>::Reg; MR_REG]; NR] = [[simd.zero(); MR_REG]; NR];
            simd.dot_accumulate::<MR_REG, NR>(kc, a, b, &mut acc);
            mixed_epilogue::<Self, half::bf16, S, E, MR_REG, NR>(
                simd,
                alpha,
                beta,
                alpha_status,
                beta_status,
                &mut acc,
                c,
                rsc,
                csc,
                mr_eff,
                nr_eff,
                row0,
                col0,
                epi,
                scratch,
            );
        }
    }
}

/// Seed the `f32` accumulator registers for one deep-k twin tile
///
/// On an accumulate slice (`BetaStatus::One`) this loads the running partial from the `f32`
/// scratch `C`, so the caller's [`mixed_accumulate`]/`dot_accumulate` continues the
/// ascending-k chain instead of summing the slice from zero and adding `C` afterward:
/// storing and reloading an `f32` is exact, so the multi-slice result matches the
/// single-panel one bit-for-bit. On the 1st slice (`BetaStatus::Zero`) it returns zeroed
/// accumulators without reading `C` (which may still be uninitialized there).
/// `BetaStatus::Other` never reaches this function: the twin always runs with `beta` in `{0, 1}`
///
/// The full-tile fast path vector-loads `C` directly; the edge path builds a zero-padded
/// seed in `scratch` and loads that instead, since a partial vector load of `C` could read
/// past the live rows
///
/// # Safety
/// `c` valid for the live tile at `rsc`/`csc`; `scratch` holds at least `NR * mr` `f32`; run inside
/// `S`'s [`crate::simd::Simd::vectorize`]
#[allow(clippy::too_many_arguments, clippy::needless_range_loop)]
#[inline(always)]
unsafe fn twin_seed<S, const MR_REG: usize, const NR: usize>(
    simd: S,
    beta_status: BetaStatus,
    c: *const f32,
    rsc: isize,
    csc: isize,
    mr_eff: usize,
    nr_eff: usize,
    scratch: *mut f32,
) -> [[<S as SimdOps<f32>>::Reg; MR_REG]; NR]
where
    S: SimdOps<f32>,
{
    unsafe {
        let lanes = <S as SimdOps<f32>>::LANES;
        let mr = MR_REG * lanes;
        let mut acc: [[<S as SimdOps<f32>>::Reg; MR_REG]; NR] = [[simd.zero(); MR_REG]; NR];
        if beta_status == BetaStatus::One {
            if mr_eff == mr && nr_eff == NR && rsc == 1 {
                for j in 0..NR {
                    let col = c.offset(j as isize * csc);
                    for i in 0..MR_REG {
                        acc[j][i] = simd.loadu(col.add(i * lanes));
                    }
                }
            } else {
                // Zero-pad a full NR x mr seed tile, fill in the live sub-tile from C, then load
                // it: the dead lanes seed to 0 and, since each accumulator is independent, never
                // perturb a live output
                for x in 0..NR * mr {
                    *scratch.add(x) = 0.0;
                }
                for j in 0..nr_eff {
                    for i in 0..mr_eff {
                        *scratch.add(j * mr + i) = *c.offset(i as isize * rsc + j as isize * csc);
                    }
                }
                for j in 0..NR {
                    for i in 0..MR_REG {
                        acc[j][i] = simd.loadu(scratch.add(j * mr + i * lanes));
                    }
                }
            }
        }
        acc
    }
}

/// Store one deep-k twin tile's `f32` accumulators back to the `f32` scratch `C`: the running
/// partial for the next slice, or the final sum the narrowing sweep consumes
///
/// Mirrors [`twin_seed`]: the full-tile fast path stores whole vectors column-major; the
/// edge path drains to `scratch` and copies out only the live `mr_eff x nr_eff` sub-tile
/// under the tile's real strides
///
/// # Safety
/// As [`twin_seed`], with `c` writable
#[allow(clippy::too_many_arguments, clippy::needless_range_loop)]
#[inline(always)]
unsafe fn twin_store<S, const MR_REG: usize, const NR: usize>(
    simd: S,
    acc: &[[<S as SimdOps<f32>>::Reg; MR_REG]; NR],
    c: *mut f32,
    rsc: isize,
    csc: isize,
    mr_eff: usize,
    nr_eff: usize,
    scratch: *mut f32,
) where
    S: SimdOps<f32>,
{
    unsafe {
        let lanes = <S as SimdOps<f32>>::LANES;
        let mr = MR_REG * lanes;
        if mr_eff == mr && nr_eff == NR && rsc == 1 {
            for j in 0..NR {
                let col = c.offset(j as isize * csc);
                for i in 0..MR_REG {
                    simd.storeu(col.add(i * lanes), acc[j][i]);
                }
            }
        } else {
            for j in 0..NR {
                for i in 0..MR_REG {
                    simd.storeu(scratch.add(j * mr + i * lanes), acc[j][i]);
                }
            }
            for j in 0..nr_eff {
                for i in 0..mr_eff {
                    *c.offset(i as isize * rsc + j as isize * csc) = *scratch.add(j * mr + i);
                }
            }
        }
    }
}

/// The `f32`-output twin of [`MixedGemm`]: `Lhs = Rhs = N` (a [`NarrowFloat`]), `Acc = Out = f32`
///
/// Exists solely for the deep-contraction dispatch route: `MixedGemm` runs a single depth
/// panel (`kc = k`), which at large `k` streams an L2-overflowing RHS micropanel from
/// L3/DRAM. This twin re-blocks the same contraction into an `f32` scratch instead; since
/// `Out == Acc` here, the driver's ordinary multi-slice K blocking applies (`OUT_IS_ACC`
/// stays at its `true` default), keeping every slice's panels L2-resident, and the dispatch
/// narrows the scratch to `N` once at the end. Pack layout and widen-FMA accumulate are
/// `MixedGemm`'s verbatim; the only difference is the epilogue, which seeds from `C` and
/// stores raw `f32` so the accumulation continues correctly across slices
pub struct MixedGemmF32<N>(PhantomData<N>);

impl<N> Clone for MixedGemmF32<N> {
    fn clone(&self) -> Self {
        *self
    }
}
impl<N> Copy for MixedGemmF32<N> {}

impl<N> KernelFamily for MixedGemmF32<N>
where
    N: NarrowFloat,
{
    type Lhs = N;
    type Rhs = N;
    type Acc = f32;
    type Out = f32;

    // Out == Acc == f32 here, so OUT_IS_ACC is left at its true default: the driver blocks K
    // at the cache-model kc and round-trips the partial through the f32 scratch exactly,
    // which is the entire point of this twin

    #[inline]
    unsafe fn pack_lhs(
        dst: *mut N,
        src: *const N,
        rs: isize,
        cs: isize,
        mc: usize,
        kc: usize,
        mr: usize,
    ) {
        // Same narrow micropanel copy as MixedGemm; widening happens on load
        unsafe { pack_panels(dst, src, rs, cs, mc, kc, mr) }
    }

    #[inline]
    unsafe fn pack_rhs(
        dst: *mut N,
        src: *const N,
        rs: isize,
        cs: isize,
        kc: usize,
        nc: usize,
        nr: usize,
    ) {
        unsafe { pack_panels(dst, src, cs, rs, nc, kc, nr) }
    }

    #[allow(clippy::too_many_arguments)]
    #[inline(always)]
    unsafe fn microkernel_epi<S, E, const MR_REG: usize, const NR: usize>(
        simd: S,
        kc: usize,
        alpha: f32,
        beta: f32,
        alpha_status: AlphaStatus,
        beta_status: BetaStatus,
        a: *const N,
        a_cs: isize,
        b: *const N,
        b_rs: isize,
        b_cs: isize,
        c: *mut f32,
        rsc: isize,
        csc: isize,
        mr_eff: usize,
        nr_eff: usize,
        row0: usize,
        col0: usize,
        last_k: bool,
        epi: &E,
        scratch: *mut f32,
    ) where
        S: KernelSimd<N, N, f32, f32>,
        E: Epilogue<Self>,
    {
        // A deep-k internal call, never a user-facing fused GEMM: alpha=1, beta in {0, 1},
        // and always the Identity epilogue, so this just accumulates raw f32 partials; the
        // dispatch layer applies the real alpha/beta and narrows once outside this function
        assert!(E::IS_IDENTITY, "deep-k twin does not fuse epilogues");
        debug_assert!(
            alpha_status == AlphaStatus::One,
            "deep-k twin runs alpha = 1"
        );
        debug_assert!(
            beta_status != BetaStatus::Other,
            "deep-k twin runs beta in {{0, 1}}"
        );
        let _ = (alpha, beta, alpha_status, row0, col0, last_k, epi);
        unsafe {
            let mut acc =
                twin_seed::<S, MR_REG, NR>(simd, beta_status, c, rsc, csc, mr_eff, nr_eff, scratch);
            mixed_accumulate::<N, S, f32, MR_REG, NR>(
                simd, kc, a, a_cs, b, b_rs, b_cs, nr_eff, &mut acc,
            );
            twin_store::<S, MR_REG, NR>(simd, &acc, c, rsc, csc, mr_eff, nr_eff, scratch);
        }
    }
}

/// The `f32`-output twin of [`Bf16DotGemm`]: `Lhs = Rhs = bf16`, `Acc = Out = f32`, `vdpbf16ps` dot
///
/// The deep-contraction sibling of `Bf16DotGemm`, exactly as [`MixedGemmF32`] is of
/// [`MixedGemm`]: same k-pair-interleaved pack (`DEPTH_MULTIPLE = 2`, both operands
/// force-packed) and the same `dot_accumulate`, but `Out = f32` so the driver multi-slices.
/// The driver rounds every interior slice's `kc` up to `DEPTH_MULTIPLE`, so a k-pair never
/// straddles a slice boundary and the multi-slice dot matches the single-panel one
/// bit-for-bit; only the final short tail is depth-padded, same as the single-panel case
#[derive(Clone, Copy)]
pub struct Bf16DotGemmF32(PhantomData<()>);

impl KernelFamily for Bf16DotGemmF32 {
    type Lhs = half::bf16;
    type Rhs = half::bf16;
    type Acc = f32;
    type Out = f32;

    // Out == Acc == f32, so OUT_IS_ACC stays at its true default and K multi-slices; the
    // k-pair pack still needs both operands force-packed regardless
    const FORCE_PACK_LHS: bool = true;
    const FORCE_PACK_RHS: bool = true;
    const DEPTH_MULTIPLE: usize = 2;

    #[inline]
    unsafe fn pack_lhs(
        dst: *mut half::bf16,
        src: *const half::bf16,
        rs: isize,
        cs: isize,
        mc: usize,
        kc: usize,
        mr: usize,
    ) {
        // Same k-pair-interleaved pack as Bf16DotGemm
        unsafe { pack_kgroup_panels::<half::bf16, 2, _>(dst, src, rs, cs, mc, kc, mr, |v| v) }
    }

    #[inline]
    unsafe fn pack_rhs(
        dst: *mut half::bf16,
        src: *const half::bf16,
        rs: isize,
        cs: isize,
        kc: usize,
        nc: usize,
        nr: usize,
    ) {
        unsafe { pack_kgroup_panels::<half::bf16, 2, _>(dst, src, cs, rs, nc, kc, nr, |v| v) }
    }

    #[allow(clippy::too_many_arguments)]
    #[inline(always)]
    unsafe fn microkernel_epi<S, E, const MR_REG: usize, const NR: usize>(
        simd: S,
        kc: usize,
        alpha: f32,
        beta: f32,
        alpha_status: AlphaStatus,
        beta_status: BetaStatus,
        a: *const half::bf16,
        _a_cs: isize,
        b: *const half::bf16,
        _b_rs: isize,
        _b_cs: isize,
        c: *mut f32,
        rsc: isize,
        csc: isize,
        mr_eff: usize,
        nr_eff: usize,
        row0: usize,
        col0: usize,
        last_k: bool,
        epi: &E,
        scratch: *mut f32,
    ) where
        S: KernelSimd<half::bf16, half::bf16, f32, f32>,
        E: Epilogue<Self>,
    {
        assert!(E::IS_IDENTITY, "deep-k twin does not fuse epilogues");
        debug_assert!(
            alpha_status == AlphaStatus::One,
            "deep-k twin runs alpha = 1"
        );
        debug_assert!(
            beta_status != BetaStatus::Other,
            "deep-k twin runs beta in {{0, 1}}"
        );
        let _ = (alpha, beta, alpha_status, row0, col0, last_k, epi);
        unsafe {
            let mut acc =
                twin_seed::<S, MR_REG, NR>(simd, beta_status, c, rsc, csc, mr_eff, nr_eff, scratch);
            simd.dot_accumulate::<MR_REG, NR>(kc, a, b, &mut acc);
            twin_store::<S, MR_REG, NR>(simd, &acc, c, rsc, csc, mr_eff, nr_eff, scratch);
        }
    }
}