koboldcpp/ggml/src/ggml-cpu/arch/riscv/repack.cpp
Aaron Teo 60ef23d6c1
ggml-cpu: enable IBM NNPA Vector Intrinsics (#14317)
* ggml-cpu: add nnpa compile flag

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 4a9f60c201573128f73a65999b3e5cc497fae5c1)

* ggml-cpu: add fp16->fp32 nnpa first

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 8d4a7987f9c1887f716be96250f2caeee0253929)

* ggml-cpu: add fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 0ff0d6516247a41d2ade42b42cf0d676a4dd1627)

* ggml-cpu: better variable names

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 2f58bbcbb89c183340e252362b2a40651f573f1f)

* docs: update s390x docs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 01b929491b50071a5d0572235dcf5a449da70aa7)

* ggml-cpu: add debugging prints to see if dlf16 is correct

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix print vs printf

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix float placeholder

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: ensure fp16 and fp32 load and stores are called

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fp16 load ensured to hit

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove sigint from fp16 store

for some reason, the function is not getting a hit when debugged with
    gdb. we will need to investigate further

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa for ggml_cpu_fp16_to_fp32

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: nnpa activate ggml_cpu_fp16_to_fp32 for 8 elements

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: nnpa switch to vec_xst test

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to vec_xst for 4 element loops also

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: rework noop

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove noop, general code cleanup

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarify variable naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa for ggml_cpu_fp32_to_fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add breakpoint for debugging

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: test fix for conversion failure

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: disable fp32->fp16 nnpa conversions for now

there are some conversion failures in nnpa that requires the eyes of an
ibm stsm. will create a separate pr to introduce the fp32->fp16 change.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to elif macro

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: reattempt fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix typo

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: reattempt fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix compiler types

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: change to typedef vector types

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add 4 element loops for fp32->fp16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarified vector naming

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back fp32->fp16 store nnpa

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: activate nnpa fp32->fp16 or fp16->fp32 compute

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add nnpa macro check in ggml-impl

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add missing __func__

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: diagnose why __NNPA__ macro is not being defined

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: import vecintrin.h to fix compiler errors

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: update macro tests

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move s390x typedef to own header file

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move s390x typedef to own header file"

This reverts commit 157f856c34589566151630e294563a420702db39.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to importing ggml-cpu-impl instead

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix macro declaration

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: test more macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add debug prints

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bruteforce macro definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move macro definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add ggml-impl.h to cmakelists

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to private macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move s390x typedef to own header file

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 157f856c34589566151630e294563a420702db39)

* ggml-cpu: move things around

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back compile macros

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: switch to quotes for import

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add compiler error macro

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add s390x detection in ggml-src

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back compile definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: undo cmakelists work

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move s390x typedef to own header file"

This reverts commit 18d79e1a30b39d9aaa0bd58400c5cf2c32135c9a.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove typedefs.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove typedef from cmakelists

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add ggml-impl.h future notes

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: add todo comment for future reference

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: clarify naming of dlf16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove unnecessary target compile definitions

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move nnpa fp16->fp32 and fp32->fp16 to simd-mappings

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* docs: update broken huggingface link for s390x

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix duplicate func names during compile

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: fix duplicate func names during compile"

This reverts commit fbb733451f27677063b914d4f6c9a9841d45b38d.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml: refactor fp32->fp16 and fp16->fp32 simd to ggml-cpu"

This reverts commit bd288e8fa52b5244f65cee21cb61062f1a9e0ca5.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: refactor fp16<->fp32 simd to ggml-cpu

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix missing simd-mappings.h import in quants.c

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix missing simd-mappings.h within repack

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix amx mmq missing simd-mappings.h

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: attempt at fixing loongarch failing build

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move nnpa together with other fp16<->fp32 simd

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: fix wrong refactor of ggml-base

ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164176555

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: remove dependency on ggml-cpu from ggml-base

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: rename all fp16<->fp32 macros to prefix with ggml_cpu

ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164449406

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: remove mistaken fallback macro

fallback logic was already implemented but i was too sleepy to realise

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move ggml_table_f32_f16 to ggml-cpu

ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: move ggml_table_f32_f16 back to ggml-base due to ci failures"

This reverts commit 32a3533564bdb7902cefb9c89b1c9e956a81ce29.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml: move ggml_table_f32_f16 to ggml-cpu"

This reverts commit 9e40d984ad27d7b60392fb2b7548885201864fe4.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml: move ggml_table_f32_f16 to ggml-cpu

ref: https://github.com/ggml-org/llama.cpp/pull/14317#discussion_r2164775006

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
(cherry picked from commit 9e40d984ad27d7b60392fb2b7548885201864fe4)

* ggml: move ggml_table_f32_f16 to ggml-cpu.c

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: extern c ggml_table_f32_f16 + chore docs

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h

we rely on the variable declaration in ggml-cpu.c instead

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: dedup ggml_table_f32_f16 from simd-mappings.h"

This reverts commit f71b21d2f74f5e03ec0c2b4fefd3cbf395aecf16.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* ggml-cpu: bring back ggml_table_f32_f16

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* Revert "ggml-cpu: bring back ggml_table_f32_f16"

This reverts commit 2dce119178bed5ef5c8398c4230ddd14fef80e49.

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>

* fix ggml time initialization

* fix f32_f16 table init

* remove extra line

---------

Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
Co-authored-by: slaren <slarengh@gmail.com>
2025-06-25 23:49:04 +02:00

397 lines
24 KiB
C++

#define GGML_COMMON_IMPL_CPP
#define GGML_COMMON_DECL_CPP
#include "ggml-common.h"
#include "ggml-backend-impl.h"
#include "ggml-impl.h"
#include "ggml-cpu.h"
#include "ggml-cpu-impl.h"
#include "simd-mappings.h"
#include "traits.h"
#include <cmath>
#include <cstring>
#include <cassert>
#include <cstdlib> // for qsort
#include <cstdio> // for GGML_ASSERT
#define GGML_CPU_CLANG_WORKAROUND
#include "../../repack.h"
#if defined(__GNUC__)
#pragma GCC diagnostic ignored "-Woverlength-strings"
#endif
#define UNUSED GGML_UNUSED
void ggml_gemv_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
const int qk = QK8_0;
const int nb = n / qk;
const int ncols_interleaved = 8;
const int blocklen = 8;
assert (n % qk == 0);
assert (nc % ncols_interleaved == 0);
UNUSED(s);
UNUSED(bs);
UNUSED(vx);
UNUSED(vy);
UNUSED(nr);
UNUSED(nc);
UNUSED(nb);
UNUSED(ncols_interleaved);
UNUSED(blocklen);
#if defined __riscv_v
if (__riscv_vlenb() >= QK4_0) {
const size_t vl = QK4_0;
const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
for (int x = 0; x < nc / ncols_interleaved; x++) {
const block_q4_0x8 * b_ptr = (const block_q4_0x8 *) vx + (x * nb);
vfloat32m1_t sumf = __riscv_vfmv_v_f_f32m1(0.0, vl / 4);
for (int l = 0; l < nb; l++) {
const int64_t a0 = *(const int64_t *)&a_ptr[l].qs[0];
const int64_t a1 = *(const int64_t *)&a_ptr[l].qs[8];
const int64_t a2 = *(const int64_t *)&a_ptr[l].qs[16];
const int64_t a3 = *(const int64_t *)&a_ptr[l].qs[24];
__asm__ __volatile__("" ::: "memory"); // prevent gcc from emitting fused vlse64, violating alignment constraints
const vint8m2_t lhs_0_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(a0, vl / 4));
const vint8m2_t lhs_1_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(a1, vl / 4));
const vint8m2_t lhs_2_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(a2, vl / 4));
const vint8m2_t lhs_3_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(a3, vl / 4));
const vint8m4_t rhs_raw_vec = __riscv_vle8_v_i8m4((const int8_t *)b_ptr[l].qs, vl * 4);
const vint8m4_t rhs_vec_lo = __riscv_vsra_vx_i8m4(__riscv_vsll_vx_i8m4(rhs_raw_vec, 4, vl * 4), 4, vl * 4);
const vint8m4_t rhs_vec_hi = __riscv_vsra_vx_i8m4(rhs_raw_vec, 4, vl * 4);
const vint8m2_t rhs_vec_lo_0 = __riscv_vget_v_i8m4_i8m2(rhs_vec_lo, 0);
const vint8m2_t rhs_vec_lo_1 = __riscv_vget_v_i8m4_i8m2(rhs_vec_lo, 1);
const vint8m2_t rhs_vec_hi_0 = __riscv_vget_v_i8m4_i8m2(rhs_vec_hi, 0);
const vint8m2_t rhs_vec_hi_1 = __riscv_vget_v_i8m4_i8m2(rhs_vec_hi, 1);
const vint16m4_t sumi_lo_0 = __riscv_vwmul_vv_i16m4(rhs_vec_lo_0, lhs_0_8, vl * 2);
const vint16m4_t sumi_lo_1 = __riscv_vwmacc_vv_i16m4(sumi_lo_0, rhs_vec_lo_1, lhs_1_8, vl * 2);
const vint16m4_t sumi_hi_0 = __riscv_vwmacc_vv_i16m4(sumi_lo_1, rhs_vec_hi_0, lhs_2_8, vl * 2);
const vint16m4_t sumi_hi_m = __riscv_vwmacc_vv_i16m4(sumi_hi_0, rhs_vec_hi_1, lhs_3_8, vl * 2);
const vuint32m4_t sumi_i32 = __riscv_vreinterpret_v_i32m4_u32m4(__riscv_vreinterpret_v_i16m4_i32m4(sumi_hi_m));
const vuint16m2_t sumi_h2_0 = __riscv_vnsrl_wx_u16m2(sumi_i32, 0, vl);
const vuint16m2_t sumi_h2_1 = __riscv_vnsrl_wx_u16m2(sumi_i32, 16, vl);
const vuint16m2_t sumi_h2 = __riscv_vadd_vv_u16m2(sumi_h2_0, sumi_h2_1, vl);
const vuint32m2_t sumi_h2_i32 = __riscv_vreinterpret_v_u16m2_u32m2(sumi_h2);
const vuint16m1_t sumi_h4_0 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 0, vl / 2);
const vuint16m1_t sumi_h4_1 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 16, vl / 2);
const vuint16m1_t sumi_h4 = __riscv_vadd_vv_u16m1(sumi_h4_0, sumi_h4_1, vl / 2);
const vuint32m1_t sumi_h4_i32 = __riscv_vreinterpret_v_u16m1_u32m1(sumi_h4);
const vint16mf2_t sumi_h8_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 0, vl / 4));
const vint16mf2_t sumi_h8_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 16, vl / 4));
const vint32m1_t sumi_h8 = __riscv_vwadd_vv_i32m1(sumi_h8_0, sumi_h8_1, vl / 4);
const vfloat32m1_t facc = __riscv_vfcvt_f_x_v_f32m1(sumi_h8, vl / 4);
// vector version needs Zvfhmin extension
const float a_scale = GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
const float b_scales[8] = {
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[0]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[1]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[2]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[3]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[4]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[5]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[6]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[7])
};
const vfloat32m1_t b_scales_vec = __riscv_vle32_v_f32m1(b_scales, vl / 4);
const vfloat32m1_t tmp1 = __riscv_vfmul_vf_f32m1(facc, a_scale, vl / 4);
sumf = __riscv_vfmacc_vv_f32m1(sumf, tmp1, b_scales_vec, vl / 4);
}
__riscv_vse32_v_f32m1(s + x * ncols_interleaved, sumf, vl / 4);
}
return;
}
#endif
{
float sumf[8];
int sumi;
const block_q8_0 * a_ptr = (const block_q8_0 *) vy;
for (int x = 0; x < nc / ncols_interleaved; x++) {
const block_q4_0x8 * b_ptr = (const block_q4_0x8 *) vx + (x * nb);
for (int j = 0; j < ncols_interleaved; j++) sumf[j] = 0.0;
for (int l = 0; l < nb; l++) {
for (int k = 0; k < (qk / (2 * blocklen)); k++) {
for (int j = 0; j < ncols_interleaved; j++) {
sumi = 0;
for (int i = 0; i < blocklen; ++i) {
const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
sumi += ((v0 * a_ptr[l].qs[k * blocklen + i]) + (v1 * a_ptr[l].qs[k * blocklen + i + qk / 2])) >> 4;
}
sumf[j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d);
}
}
}
for (int j = 0; j < ncols_interleaved; j++) s[x * ncols_interleaved + j] = sumf[j];
}
}
}
void ggml_gemm_q4_0_8x8_q8_0(int n, float * GGML_RESTRICT s, size_t bs, const void * GGML_RESTRICT vx, const void * GGML_RESTRICT vy, int nr, int nc) {
const int qk = QK8_0;
const int nb = n / qk;
const int ncols_interleaved = 8;
const int blocklen = 8;
assert (n % qk == 0);
assert (nr % 4 == 0);
assert (nc % ncols_interleaved == 0);
UNUSED(s);
UNUSED(bs);
UNUSED(vx);
UNUSED(vy);
UNUSED(nr);
UNUSED(nc);
UNUSED(nb);
UNUSED(ncols_interleaved);
UNUSED(blocklen);
#if defined __riscv_v
if (__riscv_vlenb() >= QK4_0) {
const size_t vl = QK4_0;
for (int y = 0; y < nr / 4; y++) {
const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
for (int x = 0; x < nc / ncols_interleaved; x++) {
const block_q4_0x8 * b_ptr = (const block_q4_0x8 *) vx + (x * nb);
vfloat32m1_t sumf0 = __riscv_vfmv_v_f_f32m1(0.0, vl / 4);
vfloat32m1_t sumf1 = __riscv_vfmv_v_f_f32m1(0.0, vl / 4);
vfloat32m1_t sumf2 = __riscv_vfmv_v_f_f32m1(0.0, vl / 4);
vfloat32m1_t sumf3 = __riscv_vfmv_v_f_f32m1(0.0, vl / 4);
for (int l = 0; l < nb; l++) {
const vint8m4_t rhs_raw_vec = __riscv_vle8_v_i8m4((const int8_t *)b_ptr[l].qs, vl * 4);
const vint8m4_t rhs_vec_lo = __riscv_vsra_vx_i8m4(__riscv_vsll_vx_i8m4(rhs_raw_vec, 4, vl * 4), 4, vl * 4);
const vint8m4_t rhs_vec_hi = __riscv_vsra_vx_i8m4(rhs_raw_vec, 4, vl * 4);
const vint8m2_t rhs_vec_lo_0 = __riscv_vget_v_i8m4_i8m2(rhs_vec_lo, 0);
const vint8m2_t rhs_vec_lo_1 = __riscv_vget_v_i8m4_i8m2(rhs_vec_lo, 1);
const vint8m2_t rhs_vec_hi_0 = __riscv_vget_v_i8m4_i8m2(rhs_vec_hi, 0);
const vint8m2_t rhs_vec_hi_1 = __riscv_vget_v_i8m4_i8m2(rhs_vec_hi, 1);
// vector version needs Zvfhmin extension
const float a_scales[4] = {
GGML_CPU_FP16_TO_FP32(a_ptr[l].d[0]),
GGML_CPU_FP16_TO_FP32(a_ptr[l].d[1]),
GGML_CPU_FP16_TO_FP32(a_ptr[l].d[2]),
GGML_CPU_FP16_TO_FP32(a_ptr[l].d[3])
};
const float b_scales[8] = {
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[0]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[1]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[2]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[3]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[4]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[5]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[6]),
GGML_CPU_FP16_TO_FP32(b_ptr[l].d[7])
};
const vfloat32m1_t b_scales_vec = __riscv_vle32_v_f32m1(b_scales, vl / 4);
const int64_t A0 = *(const int64_t *)&a_ptr[l].qs[0];
const int64_t A4 = *(const int64_t *)&a_ptr[l].qs[32];
const int64_t A8 = *(const int64_t *)&a_ptr[l].qs[64];
const int64_t Ac = *(const int64_t *)&a_ptr[l].qs[96];
__asm__ __volatile__("" ::: "memory"); // prevent gcc from emitting fused vlse64, violating alignment
vint16m4_t sumi_l0;
{
const vint8m2_t lhs_0_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A0, vl / 4));
const vint8m2_t lhs_1_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A4, vl / 4));
const vint8m2_t lhs_2_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A8, vl / 4));
const vint8m2_t lhs_3_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Ac, vl / 4));
const vint16m4_t sumi_lo_0 = __riscv_vwmul_vv_i16m4(rhs_vec_lo_0, lhs_0_8, vl * 2);
const vint16m4_t sumi_lo_1 = __riscv_vwmacc_vv_i16m4(sumi_lo_0, rhs_vec_lo_1, lhs_1_8, vl * 2);
const vint16m4_t sumi_hi_0 = __riscv_vwmacc_vv_i16m4(sumi_lo_1, rhs_vec_hi_0, lhs_2_8, vl * 2);
const vint16m4_t sumi_hi_m = __riscv_vwmacc_vv_i16m4(sumi_hi_0, rhs_vec_hi_1, lhs_3_8, vl * 2);
sumi_l0 = sumi_hi_m;
}
{
const vuint32m4_t sumi_i32 = __riscv_vreinterpret_v_i32m4_u32m4(__riscv_vreinterpret_v_i16m4_i32m4(sumi_l0));
const vuint16m2_t sumi_h2_0 = __riscv_vnsrl_wx_u16m2(sumi_i32, 0, vl);
const vuint16m2_t sumi_h2_1 = __riscv_vnsrl_wx_u16m2(sumi_i32, 16, vl);
const vuint16m2_t sumi_h2 = __riscv_vadd_vv_u16m2(sumi_h2_0, sumi_h2_1, vl);
const vuint32m2_t sumi_h2_i32 = __riscv_vreinterpret_v_u16m2_u32m2(sumi_h2);
const vuint16m1_t sumi_h4_0 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 0, vl / 2);
const vuint16m1_t sumi_h4_1 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 16, vl / 2);
const vuint16m1_t sumi_h4 = __riscv_vadd_vv_u16m1(sumi_h4_0, sumi_h4_1, vl / 2);
const vuint32m1_t sumi_h4_i32 = __riscv_vreinterpret_v_u16m1_u32m1(sumi_h4);
const vint16mf2_t sumi_h8_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 0, vl / 4));
const vint16mf2_t sumi_h8_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 16, vl / 4));
const vint32m1_t sumi_h8 = __riscv_vwadd_vv_i32m1(sumi_h8_0, sumi_h8_1, vl / 4);
const vfloat32m1_t facc = __riscv_vfcvt_f_x_v_f32m1(sumi_h8, vl / 4);
const vfloat32m1_t tmp1 = __riscv_vfmul_vf_f32m1(facc, a_scales[0], vl / 4);
sumf0 = __riscv_vfmacc_vv_f32m1(sumf0, tmp1, b_scales_vec, vl / 4);
}
const int64_t A1 = *(const int64_t *)&a_ptr[l].qs[8];
const int64_t A5 = *(const int64_t *)&a_ptr[l].qs[40];
const int64_t A9 = *(const int64_t *)&a_ptr[l].qs[72];
const int64_t Ad = *(const int64_t *)&a_ptr[l].qs[104];
__asm__ __volatile__("" ::: "memory"); // prevent gcc from emitting fused vlse64, violating alignment
vint16m4_t sumi_l1;
{
const vint8m2_t lhs_0_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A1, vl / 4));
const vint8m2_t lhs_1_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A5, vl / 4));
const vint8m2_t lhs_2_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A9, vl / 4));
const vint8m2_t lhs_3_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Ad, vl / 4));
const vint16m4_t sumi_lo_0 = __riscv_vwmul_vv_i16m4(rhs_vec_lo_0, lhs_0_8, vl * 2);
const vint16m4_t sumi_lo_1 = __riscv_vwmacc_vv_i16m4(sumi_lo_0, rhs_vec_lo_1, lhs_1_8, vl * 2);
const vint16m4_t sumi_hi_0 = __riscv_vwmacc_vv_i16m4(sumi_lo_1, rhs_vec_hi_0, lhs_2_8, vl * 2);
const vint16m4_t sumi_hi_m = __riscv_vwmacc_vv_i16m4(sumi_hi_0, rhs_vec_hi_1, lhs_3_8, vl * 2);
sumi_l1 = sumi_hi_m;
}
{
const vuint32m4_t sumi_i32 = __riscv_vreinterpret_v_i32m4_u32m4(__riscv_vreinterpret_v_i16m4_i32m4(sumi_l1));
const vuint16m2_t sumi_h2_0 = __riscv_vnsrl_wx_u16m2(sumi_i32, 0, vl);
const vuint16m2_t sumi_h2_1 = __riscv_vnsrl_wx_u16m2(sumi_i32, 16, vl);
const vuint16m2_t sumi_h2 = __riscv_vadd_vv_u16m2(sumi_h2_0, sumi_h2_1, vl);
const vuint32m2_t sumi_h2_i32 = __riscv_vreinterpret_v_u16m2_u32m2(sumi_h2);
const vuint16m1_t sumi_h4_0 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 0, vl / 2);
const vuint16m1_t sumi_h4_1 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 16, vl / 2);
const vuint16m1_t sumi_h4 = __riscv_vadd_vv_u16m1(sumi_h4_0, sumi_h4_1, vl / 2);
const vuint32m1_t sumi_h4_i32 = __riscv_vreinterpret_v_u16m1_u32m1(sumi_h4);
const vint16mf2_t sumi_h8_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 0, vl / 4));
const vint16mf2_t sumi_h8_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 16, vl / 4));
const vint32m1_t sumi_h8 = __riscv_vwadd_vv_i32m1(sumi_h8_0, sumi_h8_1, vl / 4);
const vfloat32m1_t facc = __riscv_vfcvt_f_x_v_f32m1(sumi_h8, vl / 4);
const vfloat32m1_t tmp1 = __riscv_vfmul_vf_f32m1(facc, a_scales[1], vl / 4);
sumf1 = __riscv_vfmacc_vv_f32m1(sumf1, tmp1, b_scales_vec, vl / 4);
}
const int64_t A2 = *(const int64_t *)&a_ptr[l].qs[16];
const int64_t A6 = *(const int64_t *)&a_ptr[l].qs[48];
const int64_t Aa = *(const int64_t *)&a_ptr[l].qs[80];
const int64_t Ae = *(const int64_t *)&a_ptr[l].qs[112];
__asm__ __volatile__("" ::: "memory"); // prevent gcc from emitting fused vlse64, violating alignment
vint16m4_t sumi_l2;
{
const vint8m2_t lhs_0_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A2, vl / 4));
const vint8m2_t lhs_1_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A6, vl / 4));
const vint8m2_t lhs_2_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Aa, vl / 4));
const vint8m2_t lhs_3_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Ae, vl / 4));
const vint16m4_t sumi_lo_0 = __riscv_vwmul_vv_i16m4(rhs_vec_lo_0, lhs_0_8, vl * 2);
const vint16m4_t sumi_lo_1 = __riscv_vwmacc_vv_i16m4(sumi_lo_0, rhs_vec_lo_1, lhs_1_8, vl * 2);
const vint16m4_t sumi_hi_0 = __riscv_vwmacc_vv_i16m4(sumi_lo_1, rhs_vec_hi_0, lhs_2_8, vl * 2);
const vint16m4_t sumi_hi_m = __riscv_vwmacc_vv_i16m4(sumi_hi_0, rhs_vec_hi_1, lhs_3_8, vl * 2);
sumi_l2 = sumi_hi_m;
}
{
const vuint32m4_t sumi_i32 = __riscv_vreinterpret_v_i32m4_u32m4(__riscv_vreinterpret_v_i16m4_i32m4(sumi_l2));
const vuint16m2_t sumi_h2_0 = __riscv_vnsrl_wx_u16m2(sumi_i32, 0, vl);
const vuint16m2_t sumi_h2_1 = __riscv_vnsrl_wx_u16m2(sumi_i32, 16, vl);
const vuint16m2_t sumi_h2 = __riscv_vadd_vv_u16m2(sumi_h2_0, sumi_h2_1, vl);
const vuint32m2_t sumi_h2_i32 = __riscv_vreinterpret_v_u16m2_u32m2(sumi_h2);
const vuint16m1_t sumi_h4_0 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 0, vl / 2);
const vuint16m1_t sumi_h4_1 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 16, vl / 2);
const vuint16m1_t sumi_h4 = __riscv_vadd_vv_u16m1(sumi_h4_0, sumi_h4_1, vl / 2);
const vuint32m1_t sumi_h4_i32 = __riscv_vreinterpret_v_u16m1_u32m1(sumi_h4);
const vint16mf2_t sumi_h8_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 0, vl / 4));
const vint16mf2_t sumi_h8_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 16, vl / 4));
const vint32m1_t sumi_h8 = __riscv_vwadd_vv_i32m1(sumi_h8_0, sumi_h8_1, vl / 4);
const vfloat32m1_t facc = __riscv_vfcvt_f_x_v_f32m1(sumi_h8, vl / 4);
const vfloat32m1_t tmp1 = __riscv_vfmul_vf_f32m1(facc, a_scales[2], vl / 4);
sumf2 = __riscv_vfmacc_vv_f32m1(sumf2, tmp1, b_scales_vec, vl / 4);
}
const int64_t A3 = *(const int64_t *)&a_ptr[l].qs[24];
const int64_t A7 = *(const int64_t *)&a_ptr[l].qs[56];
const int64_t Ab = *(const int64_t *)&a_ptr[l].qs[88];
const int64_t Af = *(const int64_t *)&a_ptr[l].qs[120];
__asm__ __volatile__("" ::: "memory"); // prevent gcc from emitting fused vlse64, violating alignment
vint16m4_t sumi_l3;
{
const vint8m2_t lhs_0_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A3, vl / 4));
const vint8m2_t lhs_1_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(A7, vl / 4));
const vint8m2_t lhs_2_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Ab, vl / 4));
const vint8m2_t lhs_3_8 =__riscv_vreinterpret_v_i64m2_i8m2(__riscv_vmv_v_x_i64m2(Af, vl / 4));
const vint16m4_t sumi_lo_0 = __riscv_vwmul_vv_i16m4(rhs_vec_lo_0, lhs_0_8, vl * 2);
const vint16m4_t sumi_lo_1 = __riscv_vwmacc_vv_i16m4(sumi_lo_0, rhs_vec_lo_1, lhs_1_8, vl * 2);
const vint16m4_t sumi_hi_0 = __riscv_vwmacc_vv_i16m4(sumi_lo_1, rhs_vec_hi_0, lhs_2_8, vl * 2);
const vint16m4_t sumi_hi_m = __riscv_vwmacc_vv_i16m4(sumi_hi_0, rhs_vec_hi_1, lhs_3_8, vl * 2);
sumi_l3 = sumi_hi_m;
}
{
const vuint32m4_t sumi_i32 = __riscv_vreinterpret_v_i32m4_u32m4(__riscv_vreinterpret_v_i16m4_i32m4(sumi_l3));
const vuint16m2_t sumi_h2_0 = __riscv_vnsrl_wx_u16m2(sumi_i32, 0, vl);
const vuint16m2_t sumi_h2_1 = __riscv_vnsrl_wx_u16m2(sumi_i32, 16, vl);
const vuint16m2_t sumi_h2 = __riscv_vadd_vv_u16m2(sumi_h2_0, sumi_h2_1, vl);
const vuint32m2_t sumi_h2_i32 = __riscv_vreinterpret_v_u16m2_u32m2(sumi_h2);
const vuint16m1_t sumi_h4_0 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 0, vl / 2);
const vuint16m1_t sumi_h4_1 = __riscv_vnsrl_wx_u16m1(sumi_h2_i32, 16, vl / 2);
const vuint16m1_t sumi_h4 = __riscv_vadd_vv_u16m1(sumi_h4_0, sumi_h4_1, vl / 2);
const vuint32m1_t sumi_h4_i32 = __riscv_vreinterpret_v_u16m1_u32m1(sumi_h4);
const vint16mf2_t sumi_h8_0 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 0, vl / 4));
const vint16mf2_t sumi_h8_1 = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vnsrl_wx_u16mf2(sumi_h4_i32, 16, vl / 4));
const vint32m1_t sumi_h8 = __riscv_vwadd_vv_i32m1(sumi_h8_0, sumi_h8_1, vl / 4);
const vfloat32m1_t facc = __riscv_vfcvt_f_x_v_f32m1(sumi_h8, vl / 4);
const vfloat32m1_t tmp1 = __riscv_vfmul_vf_f32m1(facc, a_scales[3], vl / 4);
sumf3 = __riscv_vfmacc_vv_f32m1(sumf3, tmp1, b_scales_vec, vl / 4);
}
}
__riscv_vse32_v_f32m1(&s[(y * 4 + 0) * bs + x * ncols_interleaved], sumf0, vl / 4);
__riscv_vse32_v_f32m1(&s[(y * 4 + 1) * bs + x * ncols_interleaved], sumf1, vl / 4);
__riscv_vse32_v_f32m1(&s[(y * 4 + 2) * bs + x * ncols_interleaved], sumf2, vl / 4);
__riscv_vse32_v_f32m1(&s[(y * 4 + 3) * bs + x * ncols_interleaved], sumf3, vl / 4);
}
}
return;
}
#endif // #if ! ((defined(_MSC_VER)) && ! defined(__clang__)) && defined(__aarch64__)
float sumf[4][8];
int sumi;
for (int y = 0; y < nr / 4; y++) {
const block_q8_0x4 * a_ptr = (const block_q8_0x4 *) vy + (y * nb);
for (int x = 0; x < nc / ncols_interleaved; x++) {
const block_q4_0x8 * b_ptr = (const block_q4_0x8 *) vx + (x * nb);
for (int m = 0; m < 4; m++) {
for (int j = 0; j < ncols_interleaved; j++) sumf[m][j] = 0.0;
}
for (int l = 0; l < nb; l++) {
for (int k = 0; k < (qk / (2 * blocklen)); k++) {
for (int m = 0; m < 4; m++) {
for (int j = 0; j < ncols_interleaved; j++) {
sumi = 0;
for (int i = 0; i < blocklen; ++i) {
const int v0 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] << 4);
const int v1 = (int8_t) (b_ptr[l].qs[k * ncols_interleaved * blocklen + j * blocklen + i] & 0xF0);
sumi += ((v0 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i]) +
(v1 * a_ptr[l].qs[k * 4 * blocklen + m * blocklen + i + qk / 2 * 4])) >> 4;
}
sumf[m][j] += sumi * GGML_CPU_FP16_TO_FP32(b_ptr[l].d[j]) * GGML_CPU_FP16_TO_FP32(a_ptr[l].d[m]);
}
}
}
}
for (int m = 0; m < 4; m++) {
for (int j = 0; j < ncols_interleaved; j++)
s[(y * 4 + m) * bs + x * ncols_interleaved + j] = sumf[m][j];
}
}
}
}