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kvcache-ai-ktransformers/third_party/llamafile/iqk_mul_mat.inc
liam 8eeb6dd432 ⚡ update compile option for avx512vpopcntdq
2025-03-06 12:18:04 +08:00

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// Adapted from
// https://github.com/Mozilla-Ocho/llamafile/blob/0.8.8/llamafile/iqk_mul_mat.inc
// Copyrigth 2024 Iwan Kawrakow.
// Copyright(c) 2024 by KVCache.AI, All Rights Reserved.
// -*- mode:c++;indent-tabs-mode:nil;c-basic-offset:4;coding:utf-8 -*-
// vi: set et ft=cpp fenc=utf-8 :vi
//
// Copyright 2024 Iwan Kawrakow
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include <cstring>
#include <type_traits>
#if defined __x86_64__ || defined __aarch64__ || defined(_M_X64)
#include "llama.cpp/ggml-impl.h"
#include "llama.cpp/ggml-quants.h"
#include "sgemm.h"
// For i-quants, I had to explicitely specify which
// functions to inline / not inline (at least for some
// of the functions), else performance would be significantly
// lower. This is worrysome as things can change with,
// e.g., a different compiler version or running on a different
// CPU.
#ifdef _MSC_VER
#define IQK_NOINLINE __declspec(noinline)
#define IQK_ALWAYS_INLINE inline
#else
#define IQK_NOINLINE __attribute__((__noinline__))
#define IQK_ALWAYS_INLINE __attribute__((always_inline))
#endif
#define GGML_COMMON_IMPL_C
#include "llama.cpp/ggml-common.h"
// clang-format off
// This matrix - vector and matrix - matrix multiplication implementation
// for legacy quants, k-quants and i-quants makes prompt processing 150-200%
// (legacy and k-quants) or 250-400% (i-quants) faster.
// compared to mainline llama.cpp (and llamafile).
// It provides implementations for ARM_NEON (all quants) and AVX2
// (all quants except sub-4 bit i-quants).
//
// Main idea is that unpacking the quants and the block scales to
// be ready for dot products with the corresponding Q8_Y quants
// takes time (here 'Y' stands for K, 0, or 1, depending on quantization type).
// Hence, if we are performing a QX x Q8_Y matrix matrix
// multiplication (as needed for prompt processing), we can get
// a significant speedup by reusing the unpacked QX quants and scales
// for multiplication with several Q8_K columns. We also achieve fewer
// loads from memory, which is the main purpose of tiling in general
// purpose matrix multiplication packages.
#include <utility>
#include <array>
#endif
constexpr ggml_type GGML_TYPE_Q8_0_X4 = static_cast<ggml_type>(98);
constexpr ggml_type GGML_TYPE_Q8_1_X4 = static_cast<ggml_type>(99);
namespace {
typedef struct {
int32_t i1;
int32_t i2;
} mmid_row_mapping;
struct DataInfo {
float * s;
const char * cy;
size_t bs;
size_t by;
int cur_y = 0;
int ne11;
const mmid_row_mapping * row_mapping = nullptr;
size_t bs2 = 0;
inline const char * src1_row(int iy) const {
if (!row_mapping) return cy + (cur_y + iy)*by;
int i11 = row_mapping[cur_y + iy].i1 % ne11;
int i12 = row_mapping[cur_y + iy].i2;
return cy + (i11 + i12*ne11)*by;
}
inline void store(int ix, int iy, float result) const {
*(dst_row(iy) + ix) = result;
//dst_row(iy)[ix] = result;
}
inline float * dst_row(int iy) const {
if (!row_mapping) return s + (cur_y + iy)*bs;
int i12 = row_mapping[cur_y + iy].i2;
int i1 = row_mapping[cur_y + iy].i1;
int i2 = i12;
return s + i1*bs + i2*bs2;
}
};
/*
moonll
change param for set_mul_mat
add func16
*/
typedef void (*mul_mat_t)(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x);
struct MulMat {
std::array<mul_mat_t, 8> funcs = {};
mul_mat_t func16 = nullptr;
//inline void mul_mat_NxM(int n, const void * vx, size_t bx, DataInfo& info, int nrc_x, int nrc_y) {
IQK_NOINLINE void mul_mat_NxM(int n, const void * vx, size_t bx, DataInfo& info, int nrc_x, int nrc_y) {
constexpr int k_x_step = 64; // This works best on my Ryzen-7950X and M2 Max CPUs (but differences to other tile size are small)
if (func16 && nrc_y >= 16) {
int n_step = (nrc_y - info.cur_y)/16;
for (int ix = 0; ix < nrc_x; ix += k_x_step) {
auto this_info = info;
this_info.s += ix;
int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
for (int iy = 0; iy < n_step; ++iy) {
func16(n, (const void *)((const char *)vx + ix*bx), bx, this_info, this_nrc_x);
this_info.cur_y += 16;
}
}
info.cur_y += 16 * n_step;
if (info.cur_y == nrc_y) return;
}
int n_step = (nrc_y - info.cur_y)/funcs.size();
if (n_step > 0) {
for (int ix = 0; ix < nrc_x; ix += k_x_step) {
auto this_info = info;
this_info.s += ix;
int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
for (int iy = 0; iy < n_step; ++iy) {
funcs.back()(n, (const void *)((const char *)vx + ix*bx), bx, this_info, this_nrc_x);
this_info.cur_y += funcs.size();
}
}
info.cur_y += funcs.size() * n_step;
}
int n_left = nrc_y - info.cur_y;
if (n_left > 0) {
funcs[n_left-1](n, vx, bx, info, nrc_x);
}
}
static IQK_NOINLINE bool set_mul_mat(int typeA, int typeB,int ne00, MulMat& mm, int Ny);
private:
template <typename Dequantizer> static IQK_NOINLINE void set_functions(MulMat& m);
};
inline void make_q4_scales(const uint8_t * scales8, uint32_t * aux32) {
const uint16_t * scales = (const uint16_t *)scales8;
const uint32_t a0 = scales[0] | (scales[1] << 16);
const uint32_t a1 = scales[2] | (scales[3] << 16);
const uint32_t a2 = scales[4] | (scales[5] << 16);
aux32[3] = ((a2 >> 4) & 0x0f0f0f0f) | ((a1 >> 2) & 0x30303030);
aux32[1] = ((a2 >> 0) & 0x0f0f0f0f) | ((a0 >> 2) & 0x30303030);
aux32[2] = a1 & 0x3f3f3f3f;
aux32[0] = a0 & 0x3f3f3f3f;
}
/*
moonll
decoding tables
*/
#ifdef __AVX2__
static const uint64_t iq1s_grid_us[2048] = {
0x0000000000000000, 0x0000000000000002, 0x0000000000000101, 0x0000000000000200,
0x0000000000000202, 0x0000000000010001, 0x0000000000010101, 0x0000000000020000,
0x0000000000020002, 0x0000000000020200, 0x0000000000020202, 0x0000000001000101,
0x0000000001010001, 0x0000000001010100, 0x0000000001010102, 0x0000000001020101,
0x0000000002000000, 0x0000000002000002, 0x0000000002000200, 0x0000000002000202,
0x0000000002010101, 0x0000000002020000, 0x0000000002020002, 0x0000000002020200,
0x0000000002020202, 0x0000000100000100, 0x0000000100000101, 0x0000000100010001,
0x0000000100010100, 0x0000000100010102, 0x0000000100010201, 0x0000000100010202,
0x0000000100020101, 0x0000000101000001, 0x0000000101000102, 0x0000000101000201,
0x0000000101010002, 0x0000000101010101, 0x0000000101010202, 0x0000000101020001,
0x0000000101020100, 0x0000000101020102, 0x0000000101020200, 0x0000000102000101,
0x0000000102010001, 0x0000000102010100, 0x0000000102010102, 0x0000000102020101,
0x0000000200000000, 0x0000000200000002, 0x0000000200000200, 0x0000000200000202,
0x0000000200010101, 0x0000000200020000, 0x0000000200020002, 0x0000000200020200,
0x0000000200020202, 0x0000000201000101, 0x0000000201010001, 0x0000000201010201,
0x0000000201020100, 0x0000000201020201, 0x0000000202000000, 0x0000000202000002,
0x0000000202000200, 0x0000000202000202, 0x0000000202010001, 0x0000000202010101,
0x0000000202010201, 0x0000000202020000, 0x0000000202020002, 0x0000000202020200,
0x0000000202020202, 0x0000010000010001, 0x0000010000010100, 0x0000010000010102,
0x0000010000020101, 0x0000010001000001, 0x0000010001000201, 0x0000010001010101,
0x0000010001010202, 0x0000010001020100, 0x0000010001020101, 0x0000010002010001,
0x0000010002010201, 0x0000010002020101, 0x0000010100000001, 0x0000010100000100,
0x0000010100000101, 0x0000010100000102, 0x0000010100010101, 0x0000010100010200,
0x0000010100010202, 0x0000010100020201, 0x0000010101000000, 0x0000010101000101,
0x0000010101000202, 0x0000010101010000, 0x0000010101010001, 0x0000010101010100,
0x0000010101010101, 0x0000010101010102, 0x0000010101010201, 0x0000010101020000,
0x0000010101020002, 0x0000010101020101, 0x0000010101020200, 0x0000010101020202,
0x0000010102000001, 0x0000010102010001, 0x0000010102010101, 0x0000010102010200,
0x0000010102010202, 0x0000010102020001, 0x0000010102020100, 0x0000010102020101,
0x0000010102020102, 0x0000010102020201, 0x0000010200010100, 0x0000010200010201,
0x0000010201000001, 0x0000010201000100, 0x0000010201010000, 0x0000010201010002,
0x0000010201010101, 0x0000010201010200, 0x0000010201020000, 0x0000010201020001,
0x0000010201020102, 0x0000010201020201, 0x0000010202000101, 0x0000010202010001,
0x0000010202010100, 0x0000010202010201, 0x0000020000000000, 0x0000020000000002,
0x0000020000000200, 0x0000020000000202, 0x0000020000010101, 0x0000020000020000,
0x0000020000020002, 0x0000020000020200, 0x0000020000020202, 0x0000020001000101,
0x0000020001010001, 0x0000020001010102, 0x0000020001020101, 0x0000020002000000,
0x0000020002000002, 0x0000020002000200, 0x0000020002000202, 0x0000020002010101,
0x0000020002020000, 0x0000020002020002, 0x0000020002020200, 0x0000020002020202,
0x0000020100000101, 0x0000020100010001, 0x0000020100010100, 0x0000020100010201,
0x0000020100020100, 0x0000020100020101, 0x0000020101000001, 0x0000020101010000,
0x0000020101010001, 0x0000020101010101, 0x0000020101020001, 0x0000020101020100,
0x0000020101020201, 0x0000020102010001, 0x0000020102010100, 0x0000020102010102,
0x0000020102010201, 0x0000020102020101, 0x0000020200000000, 0x0000020200000002,
0x0000020200000200, 0x0000020200000202, 0x0000020200010101, 0x0000020200020000,
0x0000020200020002, 0x0000020200020200, 0x0000020200020202, 0x0000020201000101,
0x0000020201010001, 0x0000020201010201, 0x0000020201020001, 0x0000020201020101,
0x0000020202000000, 0x0000020202000002, 0x0000020202000101, 0x0000020202000200,
0x0000020202000202, 0x0000020202010101, 0x0000020202020000, 0x0000020202020002,
0x0000020202020200, 0x0000020202020202, 0x0001000000010000, 0x0001000000010001,
0x0001000000010100, 0x0001000000010201, 0x0001000000020100, 0x0001000000020101,
0x0001000001000001, 0x0001000001000100, 0x0001000001010000, 0x0001000001010101,
0x0001000001010200, 0x0001000001020001, 0x0001000001020100, 0x0001000001020101,
0x0001000001020201, 0x0001000002010001, 0x0001000002010100, 0x0001000002010102,
0x0001000002020001, 0x0001000002020101, 0x0001000100000001, 0x0001000100000100,
0x0001000100000102, 0x0001000100000201, 0x0001000100010000, 0x0001000100010002,
0x0001000100010101, 0x0001000100010200, 0x0001000100020001, 0x0001000100020100,
0x0001000100020201, 0x0001000101000101, 0x0001000101000202, 0x0001000101010000,
0x0001000101010001, 0x0001000101010002, 0x0001000101010100, 0x0001000101010101,
0x0001000101010102, 0x0001000101010201, 0x0001000101020000, 0x0001000101020101,
0x0001000102000100, 0x0001000102010002, 0x0001000102010101, 0x0001000102020001,
0x0001000102020100, 0x0001000200010001, 0x0001000200010100, 0x0001000200010102,
0x0001000200020101, 0x0001000201000000, 0x0001000201000102, 0x0001000201000201,
0x0001000201010002, 0x0001000201010101, 0x0001000201010200, 0x0001000201010202,
0x0001000201020100, 0x0001000201020102, 0x0001000202000101, 0x0001000202010001,
0x0001000202010100, 0x0001000202010102, 0x0001000202020101, 0x0001010000000001,
0x0001010000000102, 0x0001010000000201, 0x0001010000010100, 0x0001010000010101,
0x0001010000010200, 0x0001010000010201, 0x0001010000020001, 0x0001010000020102,
0x0001010001000001, 0x0001010001000101, 0x0001010001000102, 0x0001010001000200,
0x0001010001000202, 0x0001010001010001, 0x0001010001010100, 0x0001010001010101,
0x0001010001010102, 0x0001010001010201, 0x0001010001020002, 0x0001010001020101,
0x0001010001020200, 0x0001010002000100, 0x0001010002000201, 0x0001010002010000,
0x0001010002010100, 0x0001010002010101, 0x0001010002010200, 0x0001010002010201,
0x0001010002010202, 0x0001010002020001, 0x0001010002020100, 0x0001010002020101,
0x0001010002020201, 0x0001010100000002, 0x0001010100000101, 0x0001010100000202,
0x0001010100010001, 0x0001010100010100, 0x0001010100010101, 0x0001010100010102,
0x0001010100010201, 0x0001010100020000, 0x0001010100020002, 0x0001010100020101,
0x0001010100020200, 0x0001010100020202, 0x0001010101000001, 0x0001010101000100,
0x0001010101000101, 0x0001010101000102, 0x0001010101010001, 0x0001010101010002,
0x0001010101010100, 0x0001010101010101, 0x0001010101010102, 0x0001010101010201,
0x0001010101010202, 0x0001010101020001, 0x0001010101020100, 0x0001010101020101,
0x0001010101020102, 0x0001010101020201, 0x0001010102000000, 0x0001010102000002,
0x0001010102000100, 0x0001010102000101, 0x0001010102000200, 0x0001010102000202,
0x0001010102010000, 0x0001010102010001, 0x0001010102010100, 0x0001010102010101,
0x0001010102010102, 0x0001010102010201, 0x0001010102010202, 0x0001010102020000,
0x0001010102020002, 0x0001010102020101, 0x0001010200000001, 0x0001010200000100,
0x0001010200000101, 0x0001010200000102, 0x0001010200010101, 0x0001010200010102,
0x0001010200010200, 0x0001010200010202, 0x0001010200020001, 0x0001010200020102,
0x0001010201000000, 0x0001010201000002, 0x0001010201000100, 0x0001010201000101,
0x0001010201000200, 0x0001010201000202, 0x0001010201010001, 0x0001010201010101,
0x0001010201010102, 0x0001010201010200, 0x0001010201010201, 0x0001010201020001,
0x0001010201020100, 0x0001010201020101, 0x0001010201020200, 0x0001010201020201,
0x0001010201020202, 0x0001010202000102, 0x0001010202000202, 0x0001010202010002,
0x0001010202010101, 0x0001010202020100, 0x0001010202020201, 0x0001020000010001,
0x0001020000010102, 0x0001020000020101, 0x0001020001000001, 0x0001020001000100,
0x0001020001000102, 0x0001020001000201, 0x0001020001010000, 0x0001020001010101,
0x0001020001010200, 0x0001020001010202, 0x0001020001020000, 0x0001020001020001,
0x0001020001020100, 0x0001020001020102, 0x0001020001020201, 0x0001020002000101,
0x0001020002010001, 0x0001020002010100, 0x0001020002020101, 0x0001020100010000,
0x0001020100010002, 0x0001020100010101, 0x0001020100010202, 0x0001020100020001,
0x0001020100020101, 0x0001020101000002, 0x0001020101000100, 0x0001020101000101,
0x0001020101000200, 0x0001020101010001, 0x0001020101010100, 0x0001020101010101,
0x0001020101010102, 0x0001020101010201, 0x0001020101010202, 0x0001020101020000,
0x0001020101020101, 0x0001020101020202, 0x0001020102000201, 0x0001020102010001,
0x0001020102010002, 0x0001020102010101, 0x0001020102010200, 0x0001020102020001,
0x0001020102020102, 0x0001020102020201, 0x0001020200000201, 0x0001020200010102,
0x0001020200020100, 0x0001020200020102, 0x0001020201000100, 0x0001020201000102,
0x0001020201000201, 0x0001020201010000, 0x0001020201010002, 0x0001020201010101,
0x0001020201010200, 0x0001020201020001, 0x0001020201020102, 0x0001020201020201,
0x0001020202000101, 0x0001020202010001, 0x0001020202010102, 0x0001020202010202,
0x0002000000000000, 0x0002000000000002, 0x0002000000000200, 0x0002000000000202,
0x0002000000010101, 0x0002000000020000, 0x0002000000020002, 0x0002000000020101,
0x0002000000020200, 0x0002000000020202, 0x0002000001000101, 0x0002000001010001,
0x0002000001010201, 0x0002000001020001, 0x0002000001020101, 0x0002000002000000,
0x0002000002000002, 0x0002000002000200, 0x0002000002000202, 0x0002000002010101,
0x0002000002020000, 0x0002000002020002, 0x0002000002020101, 0x0002000002020200,
0x0002000002020202, 0x0002000100000101, 0x0002000100010001, 0x0002000100010100,
0x0002000100010201, 0x0002000100020101, 0x0002000101000002, 0x0002000101000100,
0x0002000101000201, 0x0002000101010101, 0x0002000101010200, 0x0002000101010202,
0x0002000101020001, 0x0002000101020100, 0x0002000101020101, 0x0002000101020102,
0x0002000102000101, 0x0002000102010000, 0x0002000102010102, 0x0002000102010201,
0x0002000102020101, 0x0002000200000001, 0x0002000200000200, 0x0002000200000202,
0x0002000200010001, 0x0002000200010101, 0x0002000200020000, 0x0002000200020002,
0x0002000200020200, 0x0002000200020202, 0x0002000201000101, 0x0002000201010001,
0x0002000201010102, 0x0002000201010201, 0x0002000201020101, 0x0002000202000001,
0x0002000202000200, 0x0002000202000202, 0x0002000202010001, 0x0002000202010101,
0x0002000202020000, 0x0002000202020002, 0x0002000202020200, 0x0002000202020202,
0x0002010000000101, 0x0002010000010100, 0x0002010000010102, 0x0002010000010201,
0x0002010000020101, 0x0002010001000100, 0x0002010001000101, 0x0002010001000102,
0x0002010001000201, 0x0002010001010002, 0x0002010001010101, 0x0002010001010200,
0x0002010001010202, 0x0002010001020102, 0x0002010002000101, 0x0002010002010001,
0x0002010002010100, 0x0002010002010201, 0x0002010002020001, 0x0002010002020101,
0x0002010100000201, 0x0002010100010101, 0x0002010100020001, 0x0002010100020201,
0x0002010101000000, 0x0002010101000101, 0x0002010101000200, 0x0002010101010001,
0x0002010101010100, 0x0002010101010101, 0x0002010101010201, 0x0002010101020002,
0x0002010101020101, 0x0002010101020200, 0x0002010102000201, 0x0002010102010000,
0x0002010102010100, 0x0002010102010101, 0x0002010102010200, 0x0002010102010202,
0x0002010102020001, 0x0002010102020100, 0x0002010102020102, 0x0002010102020201,
0x0002010200000101, 0x0002010200010000, 0x0002010200010002, 0x0002010200010201,
0x0002010200020101, 0x0002010201000001, 0x0002010201000201, 0x0002010201010101,
0x0002010201020000, 0x0002010201020001, 0x0002010201020201, 0x0002010202000100,
0x0002010202000102, 0x0002010202010000, 0x0002010202010202, 0x0002020000000000,
0x0002020000000002, 0x0002020000000200, 0x0002020000000202, 0x0002020000010101,
0x0002020000020000, 0x0002020000020002, 0x0002020000020200, 0x0002020000020202,
0x0002020001000101, 0x0002020001010001, 0x0002020001010100, 0x0002020001020101,
0x0002020002000000, 0x0002020002000002, 0x0002020002000200, 0x0002020002000202,
0x0002020002020000, 0x0002020002020002, 0x0002020002020200, 0x0002020002020202,
0x0002020100000201, 0x0002020100010001, 0x0002020100010100, 0x0002020100010201,
0x0002020100020101, 0x0002020101000102, 0x0002020101000201, 0x0002020101010002,
0x0002020101010101, 0x0002020101020001, 0x0002020101020100, 0x0002020101020102,
0x0002020101020201, 0x0002020102000101, 0x0002020102010000, 0x0002020102010102,
0x0002020102010201, 0x0002020102020100, 0x0002020102020101, 0x0002020200000000,
0x0002020200000002, 0x0002020200000200, 0x0002020200000202, 0x0002020200020000,
0x0002020200020002, 0x0002020200020200, 0x0002020200020202, 0x0002020201000101,
0x0002020201010001, 0x0002020201010102, 0x0002020201010201, 0x0002020201020101,
0x0002020202000000, 0x0002020202000002, 0x0002020202000200, 0x0002020202000202,
0x0002020202010101, 0x0002020202020000, 0x0002020202020002, 0x0002020202020200,
0x0002020202020202, 0x0100000000000101, 0x0100000000010001, 0x0100000000010102,
0x0100000000020101, 0x0100000001000201, 0x0100000001010002, 0x0100000001010101,
0x0100000001010200, 0x0100000001010202, 0x0100000001020001, 0x0100000001020100,
0x0100000001020102, 0x0100000002010100, 0x0100000002010201, 0x0100000002020001,
0x0100000002020102, 0x0100000100000000, 0x0100000100000001, 0x0100000100000100,
0x0100000100000102, 0x0100000100000201, 0x0100000100010002, 0x0100000100010101,
0x0100000100010102, 0x0100000100010200, 0x0100000100010202, 0x0100000100020001,
0x0100000100020102, 0x0100000100020201, 0x0100000101000101, 0x0100000101000200,
0x0100000101000202, 0x0100000101010001, 0x0100000101010100, 0x0100000101010101,
0x0100000101010102, 0x0100000101010201, 0x0100000101010202, 0x0100000101020101,
0x0100000101020200, 0x0100000101020202, 0x0100000102000001, 0x0100000102000100,
0x0100000102000102, 0x0100000102010000, 0x0100000102010002, 0x0100000102010101,
0x0100000102020000, 0x0100000102020001, 0x0100000102020002, 0x0100000200000101,
0x0100000200010001, 0x0100000200010100, 0x0100000200010102, 0x0100000200020101,
0x0100000201000001, 0x0100000201010002, 0x0100000201010101, 0x0100000201010202,
0x0100000201020100, 0x0100000201020201, 0x0100000202000201, 0x0100000202010100,
0x0100000202020101, 0x0100010000000001, 0x0100010000010101, 0x0100010000010201,
0x0100010000020201, 0x0100010001000101, 0x0100010001000200, 0x0100010001000202,
0x0100010001010001, 0x0100010001010100, 0x0100010001010101, 0x0100010001010102,
0x0100010001020001, 0x0100010001020002, 0x0100010001020101, 0x0100010001020200,
0x0100010001020202, 0x0100010002000001, 0x0100010002000102, 0x0100010002000201,
0x0100010002010000, 0x0100010002010002, 0x0100010002010101, 0x0100010002020000,
0x0100010002020001, 0x0100010002020201, 0x0100010100000001, 0x0100010100000002,
0x0100010100000101, 0x0100010100000202, 0x0100010100010001, 0x0100010100010100,
0x0100010100010101, 0x0100010100010102, 0x0100010100010201, 0x0100010100020000,
0x0100010100020101, 0x0100010100020202, 0x0100010101000001, 0x0100010101000100,
0x0100010101000101, 0x0100010101000102, 0x0100010101000201, 0x0100010101010000,
0x0100010101010001, 0x0100010101010100, 0x0100010101010101, 0x0100010101010102,
0x0100010101010200, 0x0100010101010201, 0x0100010101020001, 0x0100010101020100,
0x0100010101020101, 0x0100010101020102, 0x0100010101020201, 0x0100010102000002,
0x0100010102000100, 0x0100010102000101, 0x0100010102000200, 0x0100010102010001,
0x0100010102010100, 0x0100010102010101, 0x0100010102010102, 0x0100010102010201,
0x0100010102010202, 0x0100010102020101, 0x0100010102020200, 0x0100010102020202,
0x0100010200000001, 0x0100010200000101, 0x0100010200000201, 0x0100010200010100,
0x0100010200010101, 0x0100010200010200, 0x0100010200010202, 0x0100010200020001,
0x0100010200020100, 0x0100010200020201, 0x0100010201000000, 0x0100010201000002,
0x0100010201000101, 0x0100010201000200, 0x0100010201010000, 0x0100010201010001,
0x0100010201010002, 0x0100010201010101, 0x0100010201010102, 0x0100010201010201,
0x0100010201020002, 0x0100010201020101, 0x0100010201020200, 0x0100010202000001,
0x0100010202000101, 0x0100010202000202, 0x0100010202010100, 0x0100010202010101,
0x0100010202020001, 0x0100010202020100, 0x0100010202020102, 0x0100020000000101,
0x0100020000010001, 0x0100020000010101, 0x0100020000010202, 0x0100020000020101,
0x0100020001000002, 0x0100020001000201, 0x0100020001010000, 0x0100020001010101,
0x0100020001010200, 0x0100020001020001, 0x0100020001020100, 0x0100020001020102,
0x0100020001020201, 0x0100020002000101, 0x0100020002010001, 0x0100020002010100,
0x0100020002010102, 0x0100020002010201, 0x0100020002020101, 0x0100020100000001,
0x0100020100000101, 0x0100020100000102, 0x0100020100000202, 0x0100020100010000,
0x0100020100010100, 0x0100020100010101, 0x0100020100010200, 0x0100020100020001,
0x0100020100020100, 0x0100020100020102, 0x0100020101000000, 0x0100020101000101,
0x0100020101000202, 0x0100020101010001, 0x0100020101010002, 0x0100020101010100,
0x0100020101010101, 0x0100020101010102, 0x0100020101010201, 0x0100020101020000,
0x0100020101020002, 0x0100020101020101, 0x0100020101020102, 0x0100020101020202,
0x0100020102000102, 0x0100020102000201, 0x0100020102010002, 0x0100020102010101,
0x0100020102010102, 0x0100020102010200, 0x0100020102020001, 0x0100020102020100,
0x0100020102020102, 0x0100020102020201, 0x0100020200010102, 0x0100020201000100,
0x0100020201000102, 0x0100020201000201, 0x0100020201010101, 0x0100020201010200,
0x0100020201010202, 0x0100020201020100, 0x0100020201020201, 0x0100020202010100,
0x0100020202020101, 0x0101000000000001, 0x0101000000000100, 0x0101000000000101,
0x0101000000000102, 0x0101000000000201, 0x0101000000010002, 0x0101000000010101,
0x0101000000010202, 0x0101000000020001, 0x0101000000020100, 0x0101000000020201,
0x0101000001000000, 0x0101000001000101, 0x0101000001000200, 0x0101000001010001,
0x0101000001010100, 0x0101000001010101, 0x0101000001010102, 0x0101000001010201,
0x0101000001020101, 0x0101000001020200, 0x0101000002000102, 0x0101000002000201,
0x0101000002010101, 0x0101000002010200, 0x0101000002020000, 0x0101000002020001,
0x0101000002020102, 0x0101000002020201, 0x0101000100000101, 0x0101000100000200,
0x0101000100000201, 0x0101000100000202, 0x0101000100010001, 0x0101000100010100,
0x0101000100010101, 0x0101000100010102, 0x0101000100010200, 0x0101000100010201,
0x0101000100020000, 0x0101000100020101, 0x0101000100020102, 0x0101000100020200,
0x0101000100020202, 0x0101000101000001, 0x0101000101000100, 0x0101000101000101,
0x0101000101000102, 0x0101000101000201, 0x0101000101010000, 0x0101000101010001,
0x0101000101010002, 0x0101000101010100, 0x0101000101010101, 0x0101000101010102,
0x0101000101010200, 0x0101000101010201, 0x0101000101010202, 0x0101000101020001,
0x0101000101020100, 0x0101000101020101, 0x0101000101020102, 0x0101000101020201,
0x0101000102000002, 0x0101000102000101, 0x0101000102010001, 0x0101000102010100,
0x0101000102010101, 0x0101000102010102, 0x0101000102010201, 0x0101000102020000,
0x0101000102020101, 0x0101000102020202, 0x0101000200000001, 0x0101000200000102,
0x0101000200010002, 0x0101000200010101, 0x0101000200010202, 0x0101000200020001,
0x0101000200020100, 0x0101000201000002, 0x0101000201000101, 0x0101000201000202,
0x0101000201010001, 0x0101000201010100, 0x0101000201010101, 0x0101000201010102,
0x0101000201010201, 0x0101000201020002, 0x0101000201020101, 0x0101000202000101,
0x0101000202010000, 0x0101000202010002, 0x0101000202010101, 0x0101000202010201,
0x0101000202010202, 0x0101000202020100, 0x0101010000000100, 0x0101010000000101,
0x0101010000010001, 0x0101010000010100, 0x0101010000010101, 0x0101010000010102,
0x0101010000010200, 0x0101010000010201, 0x0101010000020001, 0x0101010000020101,
0x0101010000020200, 0x0101010000020202, 0x0101010001000001, 0x0101010001000100,
0x0101010001000101, 0x0101010001000102, 0x0101010001000201, 0x0101010001000202,
0x0101010001010000, 0x0101010001010001, 0x0101010001010100, 0x0101010001010101,
0x0101010001010102, 0x0101010001010200, 0x0101010001010201, 0x0101010001010202,
0x0101010001020001, 0x0101010001020002, 0x0101010001020100, 0x0101010001020101,
0x0101010001020102, 0x0101010001020201, 0x0101010002000000, 0x0101010002000200,
0x0101010002000202, 0x0101010002010001, 0x0101010002010100, 0x0101010002010101,
0x0101010002010102, 0x0101010002010201, 0x0101010002020001, 0x0101010002020100,
0x0101010002020101, 0x0101010002020202, 0x0101010100000001, 0x0101010100000002,
0x0101010100000100, 0x0101010100000101, 0x0101010100000102, 0x0101010100000201,
0x0101010100010000, 0x0101010100010001, 0x0101010100010002, 0x0101010100010100,
0x0101010100010101, 0x0101010100010102, 0x0101010100010201, 0x0101010100010202,
0x0101010100020001, 0x0101010100020100, 0x0101010100020101, 0x0101010100020102,
0x0101010100020201, 0x0101010101000000, 0x0101010101000001, 0x0101010101000002,
0x0101010101000100, 0x0101010101000101, 0x0101010101000102, 0x0101010101000200,
0x0101010101000201, 0x0101010101010000, 0x0101010101010001, 0x0101010101010002,
0x0101010101010100, 0x0101010101010101, 0x0101010101010102, 0x0101010101010200,
0x0101010101010201, 0x0101010101010202, 0x0101010101020000, 0x0101010101020001,
0x0101010101020100, 0x0101010101020101, 0x0101010101020102, 0x0101010101020200,
0x0101010101020201, 0x0101010101020202, 0x0101010102000001, 0x0101010102000100,
0x0101010102000101, 0x0101010102000201, 0x0101010102000202, 0x0101010102010000,
0x0101010102010001, 0x0101010102010100, 0x0101010102010101, 0x0101010102010102,
0x0101010102010200, 0x0101010102010201, 0x0101010102020001, 0x0101010102020100,
0x0101010102020101, 0x0101010102020102, 0x0101010102020201, 0x0101010200000000,
0x0101010200000001, 0x0101010200000002, 0x0101010200000100, 0x0101010200000102,
0x0101010200000200, 0x0101010200000201, 0x0101010200010001, 0x0101010200010100,
0x0101010200010101, 0x0101010200010200, 0x0101010200010201, 0x0101010200020000,
0x0101010200020001, 0x0101010200020002, 0x0101010200020100, 0x0101010200020101,
0x0101010200020102, 0x0101010200020200, 0x0101010200020201, 0x0101010201000001,
0x0101010201000101, 0x0101010201000102, 0x0101010201000200, 0x0101010201000201,
0x0101010201000202, 0x0101010201010000, 0x0101010201010001, 0x0101010201010002,
0x0101010201010100, 0x0101010201010101, 0x0101010201010102, 0x0101010201010200,
0x0101010201010201, 0x0101010201010202, 0x0101010201020001, 0x0101010201020100,
0x0101010201020101, 0x0101010201020201, 0x0101010202000002, 0x0101010202000101,
0x0101010202000102, 0x0101010202000200, 0x0101010202000201, 0x0101010202000202,
0x0101010202010001, 0x0101010202010101, 0x0101010202010202, 0x0101010202020002,
0x0101010202020101, 0x0101010202020102, 0x0101010202020200, 0x0101010202020201,
0x0101020000000100, 0x0101020000000101, 0x0101020000000102, 0x0101020000000201,
0x0101020000010000, 0x0101020000010101, 0x0101020000010200, 0x0101020000020001,
0x0101020000020202, 0x0101020001000101, 0x0101020001000200, 0x0101020001000202,
0x0101020001010001, 0x0101020001010100, 0x0101020001010101, 0x0101020001010102,
0x0101020001010200, 0x0101020001010201, 0x0101020001020000, 0x0101020001020002,
0x0101020001020100, 0x0101020001020101, 0x0101020002000002, 0x0101020002000201,
0x0101020002010000, 0x0101020002010002, 0x0101020002010101, 0x0101020002010200,
0x0101020002020001, 0x0101020002020201, 0x0101020100000001, 0x0101020100000002,
0x0101020100000101, 0x0101020100000202, 0x0101020100010001, 0x0101020100010100,
0x0101020100010101, 0x0101020100010102, 0x0101020100010201, 0x0101020100020101,
0x0101020101000001, 0x0101020101000100, 0x0101020101000101, 0x0101020101000102,
0x0101020101000201, 0x0101020101010000, 0x0101020101010001, 0x0101020101010002,
0x0101020101010100, 0x0101020101010101, 0x0101020101010102, 0x0101020101010200,
0x0101020101010201, 0x0101020101010202, 0x0101020101020001, 0x0101020101020100,
0x0101020101020101, 0x0101020101020102, 0x0101020101020201, 0x0101020102000001,
0x0101020102000101, 0x0101020102000201, 0x0101020102010001, 0x0101020102010100,
0x0101020102010101, 0x0101020102010102, 0x0101020102010200, 0x0101020102010201,
0x0101020102020101, 0x0101020200000100, 0x0101020200000200, 0x0101020200010101,
0x0101020200010202, 0x0101020200020000, 0x0101020200020101, 0x0101020200020102,
0x0101020200020201, 0x0101020201000101, 0x0101020201000200, 0x0101020201000201,
0x0101020201010001, 0x0101020201010101, 0x0101020201010102, 0x0101020201010200,
0x0101020201010201, 0x0101020201020002, 0x0101020201020101, 0x0101020201020200,
0x0101020201020202, 0x0101020202000001, 0x0101020202000202, 0x0101020202010002,
0x0101020202010101, 0x0101020202010102, 0x0101020202010200, 0x0101020202010202,
0x0101020202020001, 0x0102000000000101, 0x0102000000010100, 0x0102000000010102,
0x0102000000010201, 0x0102000000020101, 0x0102000001000100, 0x0102000001010000,
0x0102000001010101, 0x0102000001010102, 0x0102000001010200, 0x0102000001010202,
0x0102000001020001, 0x0102000001020100, 0x0102000001020102, 0x0102000001020201,
0x0102000002000001, 0x0102000002010102, 0x0102000002020101, 0x0102000100000001,
0x0102000100000100, 0x0102000100000102, 0x0102000100000201, 0x0102000100010002,
0x0102000100010101, 0x0102000100020001, 0x0102000100020002, 0x0102000100020102,
0x0102000100020201, 0x0102000101000101, 0x0102000101000201, 0x0102000101010001,
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0x0102000101020102, 0x0102000101020202, 0x0102000102000100, 0x0102000102000202,
0x0102000102010002, 0x0102000102010101, 0x0102000102020001, 0x0102000102020102,
0x0102000102020201, 0x0102000200010001, 0x0102000200010102, 0x0102000200010201,
0x0102000201000000, 0x0102000201000001, 0x0102000201000102, 0x0102000201010101,
0x0102000201010102, 0x0102000201010200, 0x0102000201020000, 0x0102000202000101,
0x0102000202010001, 0x0102000202010102, 0x0102000202020101, 0x0102010000010001,
0x0102010000010002, 0x0102010000010101, 0x0102010000010102, 0x0102010000010202,
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0x0102010001000002, 0x0102010001000101, 0x0102010001000200, 0x0102010001000202,
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0x0102010001010201, 0x0102010001010202, 0x0102010001020000, 0x0102010001020002,
0x0102010001020101, 0x0102010002000100, 0x0102010002000101, 0x0102010002000201,
0x0102010002010000, 0x0102010002010002, 0x0102010002010100, 0x0102010002010101,
0x0102010002010102, 0x0102010002010200, 0x0102010002010202, 0x0102010002020001,
0x0102010002020100, 0x0102010002020201, 0x0102010100000101, 0x0102010100000200,
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0x0102010102020002, 0x0102010102020101, 0x0102010102020102, 0x0102010102020200,
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0x0102020001020201, 0x0102020002000101, 0x0102020002010001, 0x0102020002010200,
0x0102020002020102, 0x0102020100000001, 0x0102020100000100, 0x0102020100010000,
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0x0102020101020101, 0x0102020101020202, 0x0102020102000002, 0x0102020102000100,
0x0102020102000202, 0x0102020102010101, 0x0102020102020001, 0x0102020102020100,
0x0102020102020101, 0x0102020102020201, 0x0102020200010001, 0x0102020200010102,
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0x0102020201020100, 0x0102020201020101, 0x0102020201020201, 0x0102020202000102,
0x0102020202010100, 0x0102020202010200, 0x0102020202010202, 0x0102020202020102,
0x0200000000000000, 0x0200000000000002, 0x0200000000000200, 0x0200000000000202,
0x0200000000020000, 0x0200000000020002, 0x0200000000020200, 0x0200000000020202,
0x0200000001000101, 0x0200000001010000, 0x0200000001010001, 0x0200000001010100,
0x0200000001010102, 0x0200000001010201, 0x0200000001020101, 0x0200000002000000,
0x0200000002000002, 0x0200000002000200, 0x0200000002000202, 0x0200000002010101,
0x0200000002020000, 0x0200000002020002, 0x0200000002020200, 0x0200000002020202,
0x0200000100000101, 0x0200000100010001, 0x0200000100010100, 0x0200000100010102,
0x0200000100010201, 0x0200000100020101, 0x0200000101000001, 0x0200000101000100,
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0x0200000101010102, 0x0200000101010200, 0x0200000101010201, 0x0200000101020100,
0x0200000101020102, 0x0200000101020201, 0x0200000102000101, 0x0200000102000201,
0x0200000102010100, 0x0200000102010102, 0x0200000102010201, 0x0200000102020101,
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0x0200000200020202, 0x0200000201010001, 0x0200000201010100, 0x0200000201010201,
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0x0200010001000001, 0x0200010001000100, 0x0200010001010001, 0x0200010001010101,
0x0200010001010202, 0x0200010001020001, 0x0200010001020100, 0x0200010001020201,
0x0200010002010100, 0x0200010002010201, 0x0200010100000001, 0x0200010100000201,
0x0200010100010002, 0x0200010100010101, 0x0200010100010202, 0x0200010100020102,
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0x0200010202010001, 0x0200010202010202, 0x0200010202020100, 0x0200020000000000,
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0x0200020200020202, 0x0200020201000101, 0x0200020201010001, 0x0200020201010100,
0x0200020201010102, 0x0200020202000000, 0x0200020202000002, 0x0200020202000200,
0x0200020202000202, 0x0200020202010101, 0x0200020202020000, 0x0200020202020002,
0x0200020202020200, 0x0200020202020202, 0x0201000000000101, 0x0201000000010001,
0x0201000000010102, 0x0201000000010200, 0x0201000000010201, 0x0201000000020101,
0x0201000001000001, 0x0201000001000102, 0x0201000001000201, 0x0201000001010101,
0x0201000001010200, 0x0201000001010202, 0x0201000001020201, 0x0201000001020202,
0x0201000002000101, 0x0201000002010001, 0x0201000002010100, 0x0201000002010102,
0x0201000002010201, 0x0201000002020101, 0x0201000100000001, 0x0201000100000100,
0x0201000100000102, 0x0201000100000201, 0x0201000100010000, 0x0201000100010101,
0x0201000100010200, 0x0201000100010202, 0x0201000100020001, 0x0201000100020100,
0x0201000100020102, 0x0201000100020201, 0x0201000101000000, 0x0201000101000101,
0x0201000101010000, 0x0201000101010001, 0x0201000101010100, 0x0201000101010101,
0x0201000101010102, 0x0201000101010201, 0x0201000101020002, 0x0201000101020101,
0x0201000102000100, 0x0201000102000102, 0x0201000102010002, 0x0201000102010101,
0x0201000102010200, 0x0201000102020001, 0x0201000102020100, 0x0201000102020102,
0x0201000102020201, 0x0201000200000101, 0x0201000200010001, 0x0201000200010100,
0x0201000200010201, 0x0201000200020101, 0x0201000201000100, 0x0201000201000102,
0x0201000201000201, 0x0201000201010000, 0x0201000201010002, 0x0201000201010101,
0x0201000201010200, 0x0201000201020102, 0x0201000201020201, 0x0201000202000101,
0x0201000202010100, 0x0201000202010102, 0x0201000202020201, 0x0201010000000001,
0x0201010000000100, 0x0201010000000102, 0x0201010000010000, 0x0201010000010101,
0x0201010000010200, 0x0201010000020102, 0x0201010001000000, 0x0201010001000202,
0x0201010001010001, 0x0201010001010100, 0x0201010001010101, 0x0201010001010102,
0x0201010001010200, 0x0201010001010201, 0x0201010001020000, 0x0201010001020001,
0x0201010001020002, 0x0201010001020101, 0x0201010002000100, 0x0201010002000102,
0x0201010002010002, 0x0201010002010100, 0x0201010002010101, 0x0201010002010200,
0x0201010002020001, 0x0201010002020201, 0x0201010100000000, 0x0201010100000101,
0x0201010100000200, 0x0201010100000202, 0x0201010100010000, 0x0201010100010001,
0x0201010100010100, 0x0201010100010101, 0x0201010100010102, 0x0201010100010201,
0x0201010100020001, 0x0201010100020101, 0x0201010100020201, 0x0201010100020202,
0x0201010101000001, 0x0201010101000100, 0x0201010101000101, 0x0201010101000102,
0x0201010101000201, 0x0201010101010000, 0x0201010101010001, 0x0201010101010002,
0x0201010101010100, 0x0201010101010101, 0x0201010101010102, 0x0201010101010200,
0x0201010101010201, 0x0201010101010202, 0x0201010101020001, 0x0201010101020100,
0x0201010101020101, 0x0201010101020102, 0x0201010101020201, 0x0201010102000001,
0x0201010102000101, 0x0201010102000200, 0x0201010102010001, 0x0201010102010002,
0x0201010102010100, 0x0201010102010101, 0x0201010102010102, 0x0201010102010201,
0x0201010102010202, 0x0201010102020000, 0x0201010102020002, 0x0201010102020101,
0x0201010102020200, 0x0201010102020202, 0x0201010200000001, 0x0201010200000100,
0x0201010200010000, 0x0201010200010101, 0x0201010200010201, 0x0201010200020000,
0x0201010200020102, 0x0201010200020201, 0x0201010201000101, 0x0201010201000200,
0x0201010201000201, 0x0201010201010001, 0x0201010201010002, 0x0201010201010101,
0x0201010201010102, 0x0201010201010201, 0x0201010201020101, 0x0201010201020200,
0x0201010202000002, 0x0201010202000100, 0x0201010202000201, 0x0201010202000202,
0x0201010202010002, 0x0201010202010100, 0x0201010202010101, 0x0201010202020100,
0x0201010202020102, 0x0201010202020201, 0x0201020000000101, 0x0201020000010102,
0x0201020000010201, 0x0201020000020101, 0x0201020001000001, 0x0201020001000102,
0x0201020001010000, 0x0201020001010002, 0x0201020001010101, 0x0201020001010102,
0x0201020001010202, 0x0201020001020100, 0x0201020001020101, 0x0201020002000101,
0x0201020002010001, 0x0201020002010102, 0x0201020002010201, 0x0201020002020101,
0x0201020100000100, 0x0201020100000102, 0x0201020100000201, 0x0201020100010000,
0x0201020100010002, 0x0201020100010101, 0x0201020100010200, 0x0201020100010202,
0x0201020100020000, 0x0201020100020001, 0x0201020100020100, 0x0201020100020102,
0x0201020101000000, 0x0201020101000002, 0x0201020101000101, 0x0201020101000200,
0x0201020101000202, 0x0201020101010001, 0x0201020101010100, 0x0201020101010101,
0x0201020101010102, 0x0201020101010201, 0x0201020101020002, 0x0201020101020101,
0x0201020101020102, 0x0201020101020202, 0x0201020102000001, 0x0201020102000100,
0x0201020102010000, 0x0201020102010002, 0x0201020102010101, 0x0201020102010202,
0x0201020102020001, 0x0201020102020102, 0x0201020200000101, 0x0201020200010101,
0x0201020200020101, 0x0201020201000100, 0x0201020201000102, 0x0201020201000201,
0x0201020201010000, 0x0201020201010101, 0x0201020201010200, 0x0201020201020001,
0x0201020202000101, 0x0201020202010001, 0x0201020202010100, 0x0201020202010101,
0x0201020202010102, 0x0202000000000000, 0x0202000000000002, 0x0202000000000200,
0x0202000000000202, 0x0202000000010101, 0x0202000000020000, 0x0202000000020002,
0x0202000000020200, 0x0202000000020202, 0x0202000001000101, 0x0202000001010001,
0x0202000001010100, 0x0202000001010102, 0x0202000001010201, 0x0202000002000000,
0x0202000002000002, 0x0202000002000200, 0x0202000002000202, 0x0202000002010101,
0x0202000002020000, 0x0202000002020002, 0x0202000002020200, 0x0202000002020202,
0x0202000100000101, 0x0202000100000201, 0x0202000100010001, 0x0202000100010100,
0x0202000100010102, 0x0202000100010201, 0x0202000100010202, 0x0202000101000102,
0x0202000101000201, 0x0202000101010001, 0x0202000101010101, 0x0202000101010200,
0x0202000101010202, 0x0202000101020001, 0x0202000101020100, 0x0202000102000101,
0x0202000102010000, 0x0202000102010002, 0x0202000102010102, 0x0202000102010201,
0x0202000200000002, 0x0202000200000200, 0x0202000200000202, 0x0202000200010000,
0x0202000200010201, 0x0202000200020002, 0x0202000200020200, 0x0202000200020202,
0x0202000201000101, 0x0202000201010001, 0x0202000201010102, 0x0202000201010201,
0x0202000201020101, 0x0202000202000000, 0x0202000202000002, 0x0202000202000200,
0x0202000202000202, 0x0202000202010101, 0x0202000202020000, 0x0202000202020002,
0x0202000202020200, 0x0202000202020202, 0x0202010000010201, 0x0202010000020101,
0x0202010001000001, 0x0202010001000100, 0x0202010001010000, 0x0202010001010100,
0x0202010001010101, 0x0202010001010200, 0x0202010001010202, 0x0202010001020001,
0x0202010001020101, 0x0202010001020102, 0x0202010001020200, 0x0202010001020201,
0x0202010002000101, 0x0202010100000102, 0x0202010100000201, 0x0202010100010000,
0x0202010100010002, 0x0202010100010101, 0x0202010100010200, 0x0202010100020102,
0x0202010100020201, 0x0202010101000002, 0x0202010101000101, 0x0202010101010001,
0x0202010101010100, 0x0202010101010101, 0x0202010101010102, 0x0202010101010201,
0x0202010101020101, 0x0202010101020202, 0x0202010102000001, 0x0202010102000100,
0x0202010102000101, 0x0202010102000102, 0x0202010102000201, 0x0202010102010002,
0x0202010102010101, 0x0202010102010200, 0x0202010200000101, 0x0202010200010001,
0x0202010200010102, 0x0202010200010202, 0x0202010200020001, 0x0202010200020101,
0x0202010201000100, 0x0202010201000102, 0x0202010201000202, 0x0202010201010002,
0x0202010201010101, 0x0202010201010102, 0x0202010201010200, 0x0202010201020000,
0x0202010201020002, 0x0202010202000102, 0x0202010202010000, 0x0202010202010101,
0x0202010202010102, 0x0202010202010201, 0x0202010202020001, 0x0202010202020100,
0x0202010202020102, 0x0202020000000000, 0x0202020000000002, 0x0202020000000200,
0x0202020000000202, 0x0202020000020000, 0x0202020000020002, 0x0202020000020200,
0x0202020000020202, 0x0202020001010001, 0x0202020001010100, 0x0202020001010102,
0x0202020001010201, 0x0202020002000000, 0x0202020002000002, 0x0202020002000200,
0x0202020002000202, 0x0202020002010101, 0x0202020002020000, 0x0202020002020002,
0x0202020002020200, 0x0202020002020202, 0x0202020100000101, 0x0202020100010100,
0x0202020100010201, 0x0202020100020001, 0x0202020100020101, 0x0202020101000001,
0x0202020101010000, 0x0202020101010101, 0x0202020101010202, 0x0202020101020001,
0x0202020101020102, 0x0202020101020201, 0x0202020102010000, 0x0202020102010102,
0x0202020200000000, 0x0202020200000002, 0x0202020200000200, 0x0202020200000202,
0x0202020200020000, 0x0202020200020002, 0x0202020200020200, 0x0202020200020202,
0x0202020201010001, 0x0202020201010100, 0x0202020201010102, 0x0202020202000000,
0x0202020202000002, 0x0202020202000200, 0x0202020202000202, 0x0202020202010101,
0x0202020202020000, 0x0202020202020002, 0x0202020202020200, 0x0202020202020202,
};
#else
static const uint32_t iq1s_grid_us[2048] = {
0x00000000, 0x00000002, 0x00000101, 0x00000200, 0x00000202, 0x00010001, 0x00010101, 0x00020000,
0x00020002, 0x00020200, 0x00020202, 0x01000101, 0x01010001, 0x01010100, 0x01010102, 0x01020101,
0x02000000, 0x02000002, 0x02000200, 0x02000202, 0x02010101, 0x02020000, 0x02020002, 0x02020200,
0x02020202, 0x00000110, 0x00000111, 0x00010011, 0x00010110, 0x00010112, 0x00010211, 0x00010212,
0x00020111, 0x01000011, 0x01000112, 0x01000211, 0x01010012, 0x01010111, 0x01010212, 0x01020011,
0x01020110, 0x01020112, 0x01020210, 0x02000111, 0x02010011, 0x02010110, 0x02010112, 0x02020111,
0x00000020, 0x00000022, 0x00000220, 0x00000222, 0x00010121, 0x00020020, 0x00020022, 0x00020220,
0x00020222, 0x01000121, 0x01010021, 0x01010221, 0x01020120, 0x01020221, 0x02000020, 0x02000022,
0x02000220, 0x02000222, 0x02010021, 0x02010121, 0x02010221, 0x02020020, 0x02020022, 0x02020220,
0x02020222, 0x00011001, 0x00011100, 0x00011102, 0x00021101, 0x01001001, 0x01001201, 0x01011101,
0x01011202, 0x01021100, 0x01021101, 0x02011001, 0x02011201, 0x02021101, 0x00001011, 0x00001110,
0x00001111, 0x00001112, 0x00011111, 0x00011210, 0x00011212, 0x00021211, 0x01001010, 0x01001111,
0x01001212, 0x01011010, 0x01011011, 0x01011110, 0x01011111, 0x01011112, 0x01011211, 0x01021010,
0x01021012, 0x01021111, 0x01021210, 0x01021212, 0x02001011, 0x02011011, 0x02011111, 0x02011210,
0x02011212, 0x02021011, 0x02021110, 0x02021111, 0x02021112, 0x02021211, 0x00011120, 0x00011221,
0x01001021, 0x01001120, 0x01011020, 0x01011022, 0x01011121, 0x01011220, 0x01021020, 0x01021021,
0x01021122, 0x01021221, 0x02001121, 0x02011021, 0x02011120, 0x02011221, 0x00002000, 0x00002002,
0x00002200, 0x00002202, 0x00012101, 0x00022000, 0x00022002, 0x00022200, 0x00022202, 0x01002101,
0x01012001, 0x01012102, 0x01022101, 0x02002000, 0x02002002, 0x02002200, 0x02002202, 0x02012101,
0x02022000, 0x02022002, 0x02022200, 0x02022202, 0x00002111, 0x00012011, 0x00012110, 0x00012211,
0x00022110, 0x00022111, 0x01002011, 0x01012010, 0x01012011, 0x01012111, 0x01022011, 0x01022110,
0x01022211, 0x02012011, 0x02012110, 0x02012112, 0x02012211, 0x02022111, 0x00002020, 0x00002022,
0x00002220, 0x00002222, 0x00012121, 0x00022020, 0x00022022, 0x00022220, 0x00022222, 0x01002121,
0x01012021, 0x01012221, 0x01022021, 0x01022121, 0x02002020, 0x02002022, 0x02002121, 0x02002220,
0x02002222, 0x02012121, 0x02022020, 0x02022022, 0x02022220, 0x02022222, 0x00110000, 0x00110001,
0x00110100, 0x00110201, 0x00120100, 0x00120101, 0x01100001, 0x01100100, 0x01110000, 0x01110101,
0x01110200, 0x01120001, 0x01120100, 0x01120101, 0x01120201, 0x02110001, 0x02110100, 0x02110102,
0x02120001, 0x02120101, 0x00100011, 0x00100110, 0x00100112, 0x00100211, 0x00110010, 0x00110012,
0x00110111, 0x00110210, 0x00120011, 0x00120110, 0x00120211, 0x01100111, 0x01100212, 0x01110010,
0x01110011, 0x01110012, 0x01110110, 0x01110111, 0x01110112, 0x01110211, 0x01120010, 0x01120111,
0x02100110, 0x02110012, 0x02110111, 0x02120011, 0x02120110, 0x00110021, 0x00110120, 0x00110122,
0x00120121, 0x01100020, 0x01100122, 0x01100221, 0x01110022, 0x01110121, 0x01110220, 0x01110222,
0x01120120, 0x01120122, 0x02100121, 0x02110021, 0x02110120, 0x02110122, 0x02120121, 0x00101001,
0x00101102, 0x00101201, 0x00111100, 0x00111101, 0x00111200, 0x00111201, 0x00121001, 0x00121102,
0x01101001, 0x01101101, 0x01101102, 0x01101200, 0x01101202, 0x01111001, 0x01111100, 0x01111101,
0x01111102, 0x01111201, 0x01121002, 0x01121101, 0x01121200, 0x02101100, 0x02101201, 0x02111000,
0x02111100, 0x02111101, 0x02111200, 0x02111201, 0x02111202, 0x02121001, 0x02121100, 0x02121101,
0x02121201, 0x00101012, 0x00101111, 0x00101212, 0x00111011, 0x00111110, 0x00111111, 0x00111112,
0x00111211, 0x00121010, 0x00121012, 0x00121111, 0x00121210, 0x00121212, 0x01101011, 0x01101110,
0x01101111, 0x01101112, 0x01111011, 0x01111012, 0x01111110, 0x01111111, 0x01111112, 0x01111211,
0x01111212, 0x01121011, 0x01121110, 0x01121111, 0x01121112, 0x01121211, 0x02101010, 0x02101012,
0x02101110, 0x02101111, 0x02101210, 0x02101212, 0x02111010, 0x02111011, 0x02111110, 0x02111111,
0x02111112, 0x02111211, 0x02111212, 0x02121010, 0x02121012, 0x02121111, 0x00101021, 0x00101120,
0x00101121, 0x00101122, 0x00111121, 0x00111122, 0x00111220, 0x00111222, 0x00121021, 0x00121122,
0x01101020, 0x01101022, 0x01101120, 0x01101121, 0x01101220, 0x01101222, 0x01111021, 0x01111121,
0x01111122, 0x01111220, 0x01111221, 0x01121021, 0x01121120, 0x01121121, 0x01121220, 0x01121221,
0x01121222, 0x02101122, 0x02101222, 0x02111022, 0x02111121, 0x02121120, 0x02121221, 0x00112001,
0x00112102, 0x00122101, 0x01102001, 0x01102100, 0x01102102, 0x01102201, 0x01112000, 0x01112101,
0x01112200, 0x01112202, 0x01122000, 0x01122001, 0x01122100, 0x01122102, 0x01122201, 0x02102101,
0x02112001, 0x02112100, 0x02122101, 0x00112010, 0x00112012, 0x00112111, 0x00112212, 0x00122011,
0x00122111, 0x01102012, 0x01102110, 0x01102111, 0x01102210, 0x01112011, 0x01112110, 0x01112111,
0x01112112, 0x01112211, 0x01112212, 0x01122010, 0x01122111, 0x01122212, 0x02102211, 0x02112011,
0x02112012, 0x02112111, 0x02112210, 0x02122011, 0x02122112, 0x02122211, 0x00102221, 0x00112122,
0x00122120, 0x00122122, 0x01102120, 0x01102122, 0x01102221, 0x01112020, 0x01112022, 0x01112121,
0x01112220, 0x01122021, 0x01122122, 0x01122221, 0x02102121, 0x02112021, 0x02112122, 0x02112222,
0x00200000, 0x00200002, 0x00200200, 0x00200202, 0x00210101, 0x00220000, 0x00220002, 0x00220101,
0x00220200, 0x00220202, 0x01200101, 0x01210001, 0x01210201, 0x01220001, 0x01220101, 0x02200000,
0x02200002, 0x02200200, 0x02200202, 0x02210101, 0x02220000, 0x02220002, 0x02220101, 0x02220200,
0x02220202, 0x00200111, 0x00210011, 0x00210110, 0x00210211, 0x00220111, 0x01200012, 0x01200110,
0x01200211, 0x01210111, 0x01210210, 0x01210212, 0x01220011, 0x01220110, 0x01220111, 0x01220112,
0x02200111, 0x02210010, 0x02210112, 0x02210211, 0x02220111, 0x00200021, 0x00200220, 0x00200222,
0x00210021, 0x00210121, 0x00220020, 0x00220022, 0x00220220, 0x00220222, 0x01200121, 0x01210021,
0x01210122, 0x01210221, 0x01220121, 0x02200021, 0x02200220, 0x02200222, 0x02210021, 0x02210121,
0x02220020, 0x02220022, 0x02220220, 0x02220222, 0x00201101, 0x00211100, 0x00211102, 0x00211201,
0x00221101, 0x01201100, 0x01201101, 0x01201102, 0x01201201, 0x01211002, 0x01211101, 0x01211200,
0x01211202, 0x01221102, 0x02201101, 0x02211001, 0x02211100, 0x02211201, 0x02221001, 0x02221101,
0x00201211, 0x00211111, 0x00221011, 0x00221211, 0x01201010, 0x01201111, 0x01201210, 0x01211011,
0x01211110, 0x01211111, 0x01211211, 0x01221012, 0x01221111, 0x01221210, 0x02201211, 0x02211010,
0x02211110, 0x02211111, 0x02211210, 0x02211212, 0x02221011, 0x02221110, 0x02221112, 0x02221211,
0x00201121, 0x00211020, 0x00211022, 0x00211221, 0x00221121, 0x01201021, 0x01201221, 0x01211121,
0x01221020, 0x01221021, 0x01221221, 0x02201120, 0x02201122, 0x02211020, 0x02211222, 0x00202000,
0x00202002, 0x00202200, 0x00202202, 0x00212101, 0x00222000, 0x00222002, 0x00222200, 0x00222202,
0x01202101, 0x01212001, 0x01212100, 0x01222101, 0x02202000, 0x02202002, 0x02202200, 0x02202202,
0x02222000, 0x02222002, 0x02222200, 0x02222202, 0x00202211, 0x00212011, 0x00212110, 0x00212211,
0x00222111, 0x01202112, 0x01202211, 0x01212012, 0x01212111, 0x01222011, 0x01222110, 0x01222112,
0x01222211, 0x02202111, 0x02212010, 0x02212112, 0x02212211, 0x02222110, 0x02222111, 0x00202020,
0x00202022, 0x00202220, 0x00202222, 0x00222020, 0x00222022, 0x00222220, 0x00222222, 0x01202121,
0x01212021, 0x01212122, 0x01212221, 0x01222121, 0x02202020, 0x02202022, 0x02202220, 0x02202222,
0x02212121, 0x02222020, 0x02222022, 0x02222220, 0x02222222, 0x10000101, 0x10010001, 0x10010102,
0x10020101, 0x11000201, 0x11010002, 0x11010101, 0x11010200, 0x11010202, 0x11020001, 0x11020100,
0x11020102, 0x12010100, 0x12010201, 0x12020001, 0x12020102, 0x10000010, 0x10000011, 0x10000110,
0x10000112, 0x10000211, 0x10010012, 0x10010111, 0x10010112, 0x10010210, 0x10010212, 0x10020011,
0x10020112, 0x10020211, 0x11000111, 0x11000210, 0x11000212, 0x11010011, 0x11010110, 0x11010111,
0x11010112, 0x11010211, 0x11010212, 0x11020111, 0x11020210, 0x11020212, 0x12000011, 0x12000110,
0x12000112, 0x12010010, 0x12010012, 0x12010111, 0x12020010, 0x12020011, 0x12020012, 0x10000121,
0x10010021, 0x10010120, 0x10010122, 0x10020121, 0x11000021, 0x11010022, 0x11010121, 0x11010222,
0x11020120, 0x11020221, 0x12000221, 0x12010120, 0x12020121, 0x10001001, 0x10011101, 0x10011201,
0x10021201, 0x11001101, 0x11001200, 0x11001202, 0x11011001, 0x11011100, 0x11011101, 0x11011102,
0x11021001, 0x11021002, 0x11021101, 0x11021200, 0x11021202, 0x12001001, 0x12001102, 0x12001201,
0x12011000, 0x12011002, 0x12011101, 0x12021000, 0x12021001, 0x12021201, 0x10001011, 0x10001012,
0x10001111, 0x10001212, 0x10011011, 0x10011110, 0x10011111, 0x10011112, 0x10011211, 0x10021010,
0x10021111, 0x10021212, 0x11001011, 0x11001110, 0x11001111, 0x11001112, 0x11001211, 0x11011010,
0x11011011, 0x11011110, 0x11011111, 0x11011112, 0x11011210, 0x11011211, 0x11021011, 0x11021110,
0x11021111, 0x11021112, 0x11021211, 0x12001012, 0x12001110, 0x12001111, 0x12001210, 0x12011011,
0x12011110, 0x12011111, 0x12011112, 0x12011211, 0x12011212, 0x12021111, 0x12021210, 0x12021212,
0x10001021, 0x10001121, 0x10001221, 0x10011120, 0x10011121, 0x10011220, 0x10011222, 0x10021021,
0x10021120, 0x10021221, 0x11001020, 0x11001022, 0x11001121, 0x11001220, 0x11011020, 0x11011021,
0x11011022, 0x11011121, 0x11011122, 0x11011221, 0x11021022, 0x11021121, 0x11021220, 0x12001021,
0x12001121, 0x12001222, 0x12011120, 0x12011121, 0x12021021, 0x12021120, 0x12021122, 0x10002101,
0x10012001, 0x10012101, 0x10012202, 0x10022101, 0x11002002, 0x11002201, 0x11012000, 0x11012101,
0x11012200, 0x11022001, 0x11022100, 0x11022102, 0x11022201, 0x12002101, 0x12012001, 0x12012100,
0x12012102, 0x12012201, 0x12022101, 0x10002011, 0x10002111, 0x10002112, 0x10002212, 0x10012010,
0x10012110, 0x10012111, 0x10012210, 0x10022011, 0x10022110, 0x10022112, 0x11002010, 0x11002111,
0x11002212, 0x11012011, 0x11012012, 0x11012110, 0x11012111, 0x11012112, 0x11012211, 0x11022010,
0x11022012, 0x11022111, 0x11022112, 0x11022212, 0x12002112, 0x12002211, 0x12012012, 0x12012111,
0x12012112, 0x12012210, 0x12022011, 0x12022110, 0x12022112, 0x12022211, 0x10012122, 0x11002120,
0x11002122, 0x11002221, 0x11012121, 0x11012220, 0x11012222, 0x11022120, 0x11022221, 0x12012120,
0x12022121, 0x10100001, 0x10100100, 0x10100101, 0x10100102, 0x10100201, 0x10110002, 0x10110101,
0x10110202, 0x10120001, 0x10120100, 0x10120201, 0x11100000, 0x11100101, 0x11100200, 0x11110001,
0x11110100, 0x11110101, 0x11110102, 0x11110201, 0x11120101, 0x11120200, 0x12100102, 0x12100201,
0x12110101, 0x12110200, 0x12120000, 0x12120001, 0x12120102, 0x12120201, 0x10100111, 0x10100210,
0x10100211, 0x10100212, 0x10110011, 0x10110110, 0x10110111, 0x10110112, 0x10110210, 0x10110211,
0x10120010, 0x10120111, 0x10120112, 0x10120210, 0x10120212, 0x11100011, 0x11100110, 0x11100111,
0x11100112, 0x11100211, 0x11110010, 0x11110011, 0x11110012, 0x11110110, 0x11110111, 0x11110112,
0x11110210, 0x11110211, 0x11110212, 0x11120011, 0x11120110, 0x11120111, 0x11120112, 0x11120211,
0x12100012, 0x12100111, 0x12110011, 0x12110110, 0x12110111, 0x12110112, 0x12110211, 0x12120010,
0x12120111, 0x12120212, 0x10100021, 0x10100122, 0x10110022, 0x10110121, 0x10110222, 0x10120021,
0x10120120, 0x11100022, 0x11100121, 0x11100222, 0x11110021, 0x11110120, 0x11110121, 0x11110122,
0x11110221, 0x11120022, 0x11120121, 0x12100121, 0x12110020, 0x12110022, 0x12110121, 0x12110221,
0x12110222, 0x12120120, 0x10101100, 0x10101101, 0x10111001, 0x10111100, 0x10111101, 0x10111102,
0x10111200, 0x10111201, 0x10121001, 0x10121101, 0x10121200, 0x10121202, 0x11101001, 0x11101100,
0x11101101, 0x11101102, 0x11101201, 0x11101202, 0x11111000, 0x11111001, 0x11111100, 0x11111101,
0x11111102, 0x11111200, 0x11111201, 0x11111202, 0x11121001, 0x11121002, 0x11121100, 0x11121101,
0x11121102, 0x11121201, 0x12101000, 0x12101200, 0x12101202, 0x12111001, 0x12111100, 0x12111101,
0x12111102, 0x12111201, 0x12121001, 0x12121100, 0x12121101, 0x12121202, 0x10101011, 0x10101012,
0x10101110, 0x10101111, 0x10101112, 0x10101211, 0x10111010, 0x10111011, 0x10111012, 0x10111110,
0x10111111, 0x10111112, 0x10111211, 0x10111212, 0x10121011, 0x10121110, 0x10121111, 0x10121112,
0x10121211, 0x11101010, 0x11101011, 0x11101012, 0x11101110, 0x11101111, 0x11101112, 0x11101210,
0x11101211, 0x11111010, 0x11111011, 0x11111012, 0x11111110, 0x11111111, 0x11111112, 0x11111210,
0x11111211, 0x11111212, 0x11121010, 0x11121011, 0x11121110, 0x11121111, 0x11121112, 0x11121210,
0x11121211, 0x11121212, 0x12101011, 0x12101110, 0x12101111, 0x12101211, 0x12101212, 0x12111010,
0x12111011, 0x12111110, 0x12111111, 0x12111112, 0x12111210, 0x12111211, 0x12121011, 0x12121110,
0x12121111, 0x12121112, 0x12121211, 0x10101020, 0x10101021, 0x10101022, 0x10101120, 0x10101122,
0x10101220, 0x10101221, 0x10111021, 0x10111120, 0x10111121, 0x10111220, 0x10111221, 0x10121020,
0x10121021, 0x10121022, 0x10121120, 0x10121121, 0x10121122, 0x10121220, 0x10121221, 0x11101021,
0x11101121, 0x11101122, 0x11101220, 0x11101221, 0x11101222, 0x11111020, 0x11111021, 0x11111022,
0x11111120, 0x11111121, 0x11111122, 0x11111220, 0x11111221, 0x11111222, 0x11121021, 0x11121120,
0x11121121, 0x11121221, 0x12101022, 0x12101121, 0x12101122, 0x12101220, 0x12101221, 0x12101222,
0x12111021, 0x12111121, 0x12111222, 0x12121022, 0x12121121, 0x12121122, 0x12121220, 0x12121221,
0x10102100, 0x10102101, 0x10102102, 0x10102201, 0x10112000, 0x10112101, 0x10112200, 0x10122001,
0x10122202, 0x11102101, 0x11102200, 0x11102202, 0x11112001, 0x11112100, 0x11112101, 0x11112102,
0x11112200, 0x11112201, 0x11122000, 0x11122002, 0x11122100, 0x11122101, 0x12102002, 0x12102201,
0x12112000, 0x12112002, 0x12112101, 0x12112200, 0x12122001, 0x12122201, 0x10102011, 0x10102012,
0x10102111, 0x10102212, 0x10112011, 0x10112110, 0x10112111, 0x10112112, 0x10112211, 0x10122111,
0x11102011, 0x11102110, 0x11102111, 0x11102112, 0x11102211, 0x11112010, 0x11112011, 0x11112012,
0x11112110, 0x11112111, 0x11112112, 0x11112210, 0x11112211, 0x11112212, 0x11122011, 0x11122110,
0x11122111, 0x11122112, 0x11122211, 0x12102011, 0x12102111, 0x12102211, 0x12112011, 0x12112110,
0x12112111, 0x12112112, 0x12112210, 0x12112211, 0x12122111, 0x10102120, 0x10102220, 0x10112121,
0x10112222, 0x10122020, 0x10122121, 0x10122122, 0x10122221, 0x11102121, 0x11102220, 0x11102221,
0x11112021, 0x11112121, 0x11112122, 0x11112220, 0x11112221, 0x11122022, 0x11122121, 0x11122220,
0x11122222, 0x12102021, 0x12102222, 0x12112022, 0x12112121, 0x12112122, 0x12112220, 0x12112222,
0x12122021, 0x10200101, 0x10210100, 0x10210102, 0x10210201, 0x10220101, 0x11200100, 0x11210000,
0x11210101, 0x11210102, 0x11210200, 0x11210202, 0x11220001, 0x11220100, 0x11220102, 0x11220201,
0x12200001, 0x12210102, 0x12220101, 0x10200011, 0x10200110, 0x10200112, 0x10200211, 0x10210012,
0x10210111, 0x10220011, 0x10220012, 0x10220112, 0x10220211, 0x11200111, 0x11200211, 0x11210011,
0x11210111, 0x11210112, 0x11210211, 0x11220111, 0x11220112, 0x11220212, 0x12200110, 0x12200212,
0x12210012, 0x12210111, 0x12220011, 0x12220112, 0x12220211, 0x10210021, 0x10210122, 0x10210221,
0x11200020, 0x11200021, 0x11200122, 0x11210121, 0x11210122, 0x11210220, 0x11220020, 0x12200121,
0x12210021, 0x12210122, 0x12220121, 0x10211001, 0x10211002, 0x10211101, 0x10211102, 0x10211202,
0x10221001, 0x10221102, 0x10221201, 0x11201000, 0x11201002, 0x11201101, 0x11201200, 0x11201202,
0x11211001, 0x11211100, 0x11211101, 0x11211102, 0x11211201, 0x11211202, 0x11221000, 0x11221002,
0x11221101, 0x12201100, 0x12201101, 0x12201201, 0x12211000, 0x12211002, 0x12211100, 0x12211101,
0x12211102, 0x12211200, 0x12211202, 0x12221001, 0x12221100, 0x12221201, 0x10201111, 0x10201210,
0x10201212, 0x10211011, 0x10211111, 0x10211112, 0x10211211, 0x11201110, 0x11201111, 0x11201112,
0x11201211, 0x11211010, 0x11211011, 0x11211110, 0x11211111, 0x11211112, 0x11211211, 0x11221011,
0x11221110, 0x11221111, 0x11221112, 0x11221211, 0x12201112, 0x12201211, 0x12201212, 0x12211011,
0x12211111, 0x12211112, 0x12211211, 0x12211212, 0x12221012, 0x12221111, 0x12221112, 0x12221210,
0x10201022, 0x10201221, 0x10211121, 0x10221020, 0x10221122, 0x10221220, 0x10221221, 0x11201020,
0x11201121, 0x11201220, 0x11201222, 0x11211021, 0x11211120, 0x11211121, 0x11211122, 0x11211220,
0x11211222, 0x11221020, 0x11221121, 0x11221220, 0x12201020, 0x12201022, 0x12201121, 0x12201222,
0x12211120, 0x12211122, 0x12211220, 0x12211221, 0x12221020, 0x12221120, 0x12221122, 0x12221222,
0x10212102, 0x10212201, 0x10222101, 0x11202001, 0x11212002, 0x11212101, 0x11212202, 0x11222001,
0x11222201, 0x12202101, 0x12212001, 0x12212200, 0x12222102, 0x10202011, 0x10202110, 0x10212010,
0x10212111, 0x10222011, 0x10222110, 0x10222112, 0x10222211, 0x11202010, 0x11202011, 0x11202111,
0x11202112, 0x11202210, 0x11212011, 0x11212110, 0x11212111, 0x11212112, 0x11212211, 0x11222010,
0x11222111, 0x11222212, 0x12202012, 0x12202110, 0x12202212, 0x12212111, 0x12222011, 0x12222110,
0x12222111, 0x12222211, 0x10212021, 0x10212122, 0x10212220, 0x11202021, 0x11202120, 0x11202221,
0x11212020, 0x11212121, 0x11212220, 0x11212222, 0x11222120, 0x11222121, 0x11222221, 0x12202122,
0x12212120, 0x12212220, 0x12212222, 0x12222122, 0x20000000, 0x20000002, 0x20000200, 0x20000202,
0x20020000, 0x20020002, 0x20020200, 0x20020202, 0x21000101, 0x21010000, 0x21010001, 0x21010100,
0x21010102, 0x21010201, 0x21020101, 0x22000000, 0x22000002, 0x22000200, 0x22000202, 0x22010101,
0x22020000, 0x22020002, 0x22020200, 0x22020202, 0x20000111, 0x20010011, 0x20010110, 0x20010112,
0x20010211, 0x20020111, 0x21000011, 0x21000110, 0x21000211, 0x21010010, 0x21010012, 0x21010111,
0x21010112, 0x21010210, 0x21010211, 0x21020110, 0x21020112, 0x21020211, 0x22000111, 0x22000211,
0x22010110, 0x22010112, 0x22010211, 0x22020111, 0x20000020, 0x20000022, 0x20000220, 0x20000222,
0x20010121, 0x20020020, 0x20020022, 0x20020220, 0x20020222, 0x21010021, 0x21010120, 0x21010221,
0x21020121, 0x22000020, 0x22000022, 0x22000220, 0x22000222, 0x22010121, 0x22020020, 0x22020022,
0x22020220, 0x22020222, 0x20011100, 0x20011201, 0x21001001, 0x21001100, 0x21011001, 0x21011101,
0x21011202, 0x21021001, 0x21021100, 0x21021201, 0x22011100, 0x22011201, 0x20001011, 0x20001211,
0x20011012, 0x20011111, 0x20011212, 0x20021112, 0x20021211, 0x21001010, 0x21001011, 0x21001111,
0x21001210, 0x21011011, 0x21011110, 0x21011111, 0x21011112, 0x21011211, 0x21011212, 0x21021111,
0x21021112, 0x21021210, 0x21021212, 0x22001011, 0x22001110, 0x22001112, 0x22001211, 0x22011010,
0x22011012, 0x22011111, 0x22011210, 0x22021112, 0x20011021, 0x20011122, 0x20011221, 0x20021121,
0x21001021, 0x21001120, 0x21001221, 0x21001222, 0x21011020, 0x21011121, 0x21011221, 0x21011222,
0x21021021, 0x21021122, 0x21021222, 0x22001121, 0x22011021, 0x22011222, 0x22021120, 0x20002000,
0x20002002, 0x20002200, 0x20002202, 0x20012101, 0x20022000, 0x20022002, 0x20022200, 0x20022202,
0x21002001, 0x21002101, 0x21012001, 0x21012100, 0x21012201, 0x21022101, 0x21022201, 0x22002000,
0x22002002, 0x22002200, 0x22002202, 0x22012101, 0x22022000, 0x22022002, 0x22022200, 0x22022202,
0x20002111, 0x20002112, 0x20012011, 0x20012110, 0x20012112, 0x20022111, 0x21002011, 0x21002110,
0x21002112, 0x21002211, 0x21012010, 0x21012012, 0x21012111, 0x21012212, 0x21022011, 0x21022110,
0x22002111, 0x22012112, 0x22012211, 0x22022111, 0x20002020, 0x20002022, 0x20002220, 0x20002222,
0x20012121, 0x20022020, 0x20022022, 0x20022220, 0x20022222, 0x21002121, 0x21012021, 0x21012120,
0x21012122, 0x22002020, 0x22002022, 0x22002220, 0x22002222, 0x22012121, 0x22022020, 0x22022022,
0x22022220, 0x22022222, 0x20100101, 0x20110001, 0x20110102, 0x20110200, 0x20110201, 0x20120101,
0x21100001, 0x21100102, 0x21100201, 0x21110101, 0x21110200, 0x21110202, 0x21120201, 0x21120202,
0x22100101, 0x22110001, 0x22110100, 0x22110102, 0x22110201, 0x22120101, 0x20100011, 0x20100110,
0x20100112, 0x20100211, 0x20110010, 0x20110111, 0x20110210, 0x20110212, 0x20120011, 0x20120110,
0x20120112, 0x20120211, 0x21100010, 0x21100111, 0x21110010, 0x21110011, 0x21110110, 0x21110111,
0x21110112, 0x21110211, 0x21120012, 0x21120111, 0x22100110, 0x22100112, 0x22110012, 0x22110111,
0x22110210, 0x22120011, 0x22120110, 0x22120112, 0x22120211, 0x20100121, 0x20110021, 0x20110120,
0x20110221, 0x20120121, 0x21100120, 0x21100122, 0x21100221, 0x21110020, 0x21110022, 0x21110121,
0x21110220, 0x21120122, 0x21120221, 0x22100121, 0x22110120, 0x22110122, 0x22120221, 0x20101001,
0x20101100, 0x20101102, 0x20111000, 0x20111101, 0x20111200, 0x20121102, 0x21101000, 0x21101202,
0x21111001, 0x21111100, 0x21111101, 0x21111102, 0x21111200, 0x21111201, 0x21121000, 0x21121001,
0x21121002, 0x21121101, 0x22101100, 0x22101102, 0x22111002, 0x22111100, 0x22111101, 0x22111200,
0x22121001, 0x22121201, 0x20101010, 0x20101111, 0x20101210, 0x20101212, 0x20111010, 0x20111011,
0x20111110, 0x20111111, 0x20111112, 0x20111211, 0x20121011, 0x20121111, 0x20121211, 0x20121212,
0x21101011, 0x21101110, 0x21101111, 0x21101112, 0x21101211, 0x21111010, 0x21111011, 0x21111012,
0x21111110, 0x21111111, 0x21111112, 0x21111210, 0x21111211, 0x21111212, 0x21121011, 0x21121110,
0x21121111, 0x21121112, 0x21121211, 0x22101011, 0x22101111, 0x22101210, 0x22111011, 0x22111012,
0x22111110, 0x22111111, 0x22111112, 0x22111211, 0x22111212, 0x22121010, 0x22121012, 0x22121111,
0x22121210, 0x22121212, 0x20101021, 0x20101120, 0x20111020, 0x20111121, 0x20111221, 0x20121020,
0x20121122, 0x20121221, 0x21101121, 0x21101220, 0x21101221, 0x21111021, 0x21111022, 0x21111121,
0x21111122, 0x21111221, 0x21121121, 0x21121220, 0x22101022, 0x22101120, 0x22101221, 0x22101222,
0x22111022, 0x22111120, 0x22111121, 0x22121120, 0x22121122, 0x22121221, 0x20102101, 0x20112102,
0x20112201, 0x20122101, 0x21102001, 0x21102102, 0x21112000, 0x21112002, 0x21112101, 0x21112102,
0x21112202, 0x21122100, 0x21122101, 0x22102101, 0x22112001, 0x22112102, 0x22112201, 0x22122101,
0x20102110, 0x20102112, 0x20102211, 0x20112010, 0x20112012, 0x20112111, 0x20112210, 0x20112212,
0x20122010, 0x20122011, 0x20122110, 0x20122112, 0x21102010, 0x21102012, 0x21102111, 0x21102210,
0x21102212, 0x21112011, 0x21112110, 0x21112111, 0x21112112, 0x21112211, 0x21122012, 0x21122111,
0x21122112, 0x21122212, 0x22102011, 0x22102110, 0x22112010, 0x22112012, 0x22112111, 0x22112212,
0x22122011, 0x22122112, 0x20102121, 0x20112121, 0x20122121, 0x21102120, 0x21102122, 0x21102221,
0x21112020, 0x21112121, 0x21112220, 0x21122021, 0x22102121, 0x22112021, 0x22112120, 0x22112121,
0x22112122, 0x20200000, 0x20200002, 0x20200200, 0x20200202, 0x20210101, 0x20220000, 0x20220002,
0x20220200, 0x20220202, 0x21200101, 0x21210001, 0x21210100, 0x21210102, 0x21210201, 0x22200000,
0x22200002, 0x22200200, 0x22200202, 0x22210101, 0x22220000, 0x22220002, 0x22220200, 0x22220202,
0x20200111, 0x20200211, 0x20210011, 0x20210110, 0x20210112, 0x20210211, 0x20210212, 0x21200112,
0x21200211, 0x21210011, 0x21210111, 0x21210210, 0x21210212, 0x21220011, 0x21220110, 0x22200111,
0x22210010, 0x22210012, 0x22210112, 0x22210211, 0x20200022, 0x20200220, 0x20200222, 0x20210020,
0x20210221, 0x20220022, 0x20220220, 0x20220222, 0x21200121, 0x21210021, 0x21210122, 0x21210221,
0x21220121, 0x22200020, 0x22200022, 0x22200220, 0x22200222, 0x22210121, 0x22220020, 0x22220022,
0x22220220, 0x22220222, 0x20211201, 0x20221101, 0x21201001, 0x21201100, 0x21211000, 0x21211100,
0x21211101, 0x21211200, 0x21211202, 0x21221001, 0x21221101, 0x21221102, 0x21221200, 0x21221201,
0x22201101, 0x20201112, 0x20201211, 0x20211010, 0x20211012, 0x20211111, 0x20211210, 0x20221112,
0x20221211, 0x21201012, 0x21201111, 0x21211011, 0x21211110, 0x21211111, 0x21211112, 0x21211211,
0x21221111, 0x21221212, 0x22201011, 0x22201110, 0x22201111, 0x22201112, 0x22201211, 0x22211012,
0x22211111, 0x22211210, 0x20201121, 0x20211021, 0x20211122, 0x20211222, 0x20221021, 0x20221121,
0x21201120, 0x21201122, 0x21201222, 0x21211022, 0x21211121, 0x21211122, 0x21211220, 0x21221020,
0x21221022, 0x22201122, 0x22211020, 0x22211121, 0x22211122, 0x22211221, 0x22221021, 0x22221120,
0x22221122, 0x20202000, 0x20202002, 0x20202200, 0x20202202, 0x20222000, 0x20222002, 0x20222200,
0x20222202, 0x21212001, 0x21212100, 0x21212102, 0x21212201, 0x22202000, 0x22202002, 0x22202200,
0x22202202, 0x22212101, 0x22222000, 0x22222002, 0x22222200, 0x22222202, 0x20202111, 0x20212110,
0x20212211, 0x20222011, 0x20222111, 0x21202011, 0x21212010, 0x21212111, 0x21212212, 0x21222011,
0x21222112, 0x21222211, 0x22212010, 0x22212112, 0x20202020, 0x20202022, 0x20202220, 0x20202222,
0x20222020, 0x20222022, 0x20222220, 0x20222222, 0x21212021, 0x21212120, 0x21212122, 0x22202020,
0x22202022, 0x22202220, 0x22202222, 0x22212121, 0x22222020, 0x22222022, 0x22222220, 0x22222222,
};
#endif
#ifndef HAVE_FANCY_SIMD
const uint64_t keven_signs[128] = {
0x0101010101010101, 0xff010101010101ff, 0xff0101010101ff01, 0x010101010101ffff,
0xff01010101ff0101, 0x0101010101ff01ff, 0x0101010101ffff01, 0xff01010101ffffff,
0xff010101ff010101, 0x01010101ff0101ff, 0x01010101ff01ff01, 0xff010101ff01ffff,
0x01010101ffff0101, 0xff010101ffff01ff, 0xff010101ffffff01, 0x01010101ffffffff,
0xff0101ff01010101, 0x010101ff010101ff, 0x010101ff0101ff01, 0xff0101ff0101ffff,
0x010101ff01ff0101, 0xff0101ff01ff01ff, 0xff0101ff01ffff01, 0x010101ff01ffffff,
0x010101ffff010101, 0xff0101ffff0101ff, 0xff0101ffff01ff01, 0x010101ffff01ffff,
0xff0101ffffff0101, 0x010101ffffff01ff, 0x010101ffffffff01, 0xff0101ffffffffff,
0xff01ff0101010101, 0x0101ff01010101ff, 0x0101ff010101ff01, 0xff01ff010101ffff,
0x0101ff0101ff0101, 0xff01ff0101ff01ff, 0xff01ff0101ffff01, 0x0101ff0101ffffff,
0x0101ff01ff010101, 0xff01ff01ff0101ff, 0xff01ff01ff01ff01, 0x0101ff01ff01ffff,
0xff01ff01ffff0101, 0x0101ff01ffff01ff, 0x0101ff01ffffff01, 0xff01ff01ffffffff,
0x0101ffff01010101, 0xff01ffff010101ff, 0xff01ffff0101ff01, 0x0101ffff0101ffff,
0xff01ffff01ff0101, 0x0101ffff01ff01ff, 0x0101ffff01ffff01, 0xff01ffff01ffffff,
0xff01ffffff010101, 0x0101ffffff0101ff, 0x0101ffffff01ff01, 0xff01ffffff01ffff,
0x0101ffffffff0101, 0xff01ffffffff01ff, 0xff01ffffffffff01, 0x0101ffffffffffff,
0xffff010101010101, 0x01ff0101010101ff, 0x01ff01010101ff01, 0xffff01010101ffff,
0x01ff010101ff0101, 0xffff010101ff01ff, 0xffff010101ffff01, 0x01ff010101ffffff,
0x01ff0101ff010101, 0xffff0101ff0101ff, 0xffff0101ff01ff01, 0x01ff0101ff01ffff,
0xffff0101ffff0101, 0x01ff0101ffff01ff, 0x01ff0101ffffff01, 0xffff0101ffffffff,
0x01ff01ff01010101, 0xffff01ff010101ff, 0xffff01ff0101ff01, 0x01ff01ff0101ffff,
0xffff01ff01ff0101, 0x01ff01ff01ff01ff, 0x01ff01ff01ffff01, 0xffff01ff01ffffff,
0xffff01ffff010101, 0x01ff01ffff0101ff, 0x01ff01ffff01ff01, 0xffff01ffff01ffff,
0x01ff01ffffff0101, 0xffff01ffffff01ff, 0xffff01ffffffff01, 0x01ff01ffffffffff,
0x01ffff0101010101, 0xffffff01010101ff, 0xffffff010101ff01, 0x01ffff010101ffff,
0xffffff0101ff0101, 0x01ffff0101ff01ff, 0x01ffff0101ffff01, 0xffffff0101ffffff,
0xffffff01ff010101, 0x01ffff01ff0101ff, 0x01ffff01ff01ff01, 0xffffff01ff01ffff,
0x01ffff01ffff0101, 0xffffff01ffff01ff, 0xffffff01ffffff01, 0x01ffff01ffffffff,
0xffffffff01010101, 0x01ffffff010101ff, 0x01ffffff0101ff01, 0xffffffff0101ffff,
0x01ffffff01ff0101, 0xffffffff01ff01ff, 0xffffffff01ffff01, 0x01ffffff01ffffff,
0x01ffffffff010101, 0xffffffffff0101ff, 0xffffffffff01ff01, 0x01ffffffff01ffff,
0xffffffffffff0101, 0x01ffffffffff01ff, 0x01ffffffffffff01, 0xffffffffffffffff,
};
#endif
}
/* moonll change mulmat
add typeB and strideB
}*/
bool iqk_mul_mat(long Nx, long Ny, long ne00,
int typeA, const void * A, long strideA,
int typeB, const void * B, long strideB,
float * C, long stride_C, int ith, int nth) {
MulMat mm;
if (!MulMat::set_mul_mat(typeA, typeB, ne00, mm, Ny)) {
return false;
}
size_t row_size_qx = strideA*ggml_type_size(ggml_type(typeA));
size_t row_size_qy = strideB*ggml_type_size(ggml_type(typeB));
auto nrc_x = (Nx + nth - 1)/nth;
auto first_x = ith*nrc_x;
if (first_x + nrc_x > Nx) nrc_x = Nx - first_x;
DataInfo info{C + first_x, (const char *)B, (size_t)stride_C, row_size_qy, 0, 1, nullptr, 0};
mm.mul_mat_NxM(ne00, (const char *)A + row_size_qx*first_x, row_size_qx, info, nrc_x, Ny);
return true;
}
bool iqk_mul_mat_moe(long Nx, long Ny, long ne00, int ne11, int typeA, const void * A, const void * B,
float * C, long nb1, long nb2, const void * vrow_mapping, int ith, int nth) {
const mmid_row_mapping * row_mapping = (const mmid_row_mapping *)vrow_mapping;
assert(row_mapping != nullptr);
MulMat mm;
int row_size_q8;
/* moonll
if (!MulMat::set_mul_mat(typeA, ne00, mm, row_size_q8, Ny)) {
return false;
}*/
int row_size_qx = ggml_row_size((ggml_type)typeA, ne00);
int nrc_x = (Nx + nth - 1)/nth;
int first_x = ith*nrc_x;
if (first_x + nrc_x > Nx) nrc_x = Nx - first_x;
DataInfo info{C + first_x, (const char *)B, nb1/sizeof(float), (size_t)row_size_q8, 0, ne11, row_mapping, nb2/sizeof(float)};
mm.mul_mat_NxM(ne00, (const char *)A + row_size_qx*first_x, row_size_qx, info, nrc_x, Ny);
return true;
}
#if defined __x86_64__ || defined(_M_X64)
#if defined HAVE_FANCY_SIMD
#undef HAVE_FANCY_SIMD
#endif
#if defined(__AVX512F__) && defined(__AVX512VNNI__) && defined(__AVX512VL__) && defined(__AVX512BW__) && defined(__AVX512DQ__)
#define HAVE_FANCY_SIMD
#endif
//#define HAVE_FANCY_SIMD
namespace {
inline float hsum_float_4(__m128 x) {
x = _mm_add_ps(x, _mm_movehl_ps(x, x));
x = _mm_add_ss(x, _mm_movehdup_ps(x));
return _mm_cvtss_f32(x);
}
inline float hsum_float_8(__m256 x) {
return hsum_float_4(_mm_add_ps(_mm256_castps256_ps128(x), _mm256_extractf128_ps(x, 1)));
}
#define MM256_SET_M128I(a, b) _mm256_insertf128_si256(_mm256_castsi128_si256(b), (a), 1)
template <int nrc, typename block_q8 = block_q8_K> struct Q8 {
constexpr static int nrc_y = nrc;
Q8(const DataInfo& info) {
for (int iy = 0; iy < nrc_y; ++iy) y[iy] = (const block_q8 *)info.src1_row(iy);
}
#ifdef HAVE_FANCY_SIMD
inline __m512i load_quants64(int iy, int i, int j) const { return _mm512_loadu_si512((const __m512i*)y[iy][i].qs + j); }
#endif
inline __m256i load_quants(int iy, int i, int j) const { return _mm256_loadu_si256((const __m256i*)y[iy][i].qs + j); }
inline __m256i load_bsums(int iy, int i) const { return _mm256_loadu_si256((const __m256i*)y[iy][i].bsums); }
inline float scale(int iy, int i) const { return y[iy][i].d; }
const block_q8 * y[nrc_y];
};
// Handles q4_K and q5_K scales/mins
struct Scales8K {
template <typename Q8>
inline __m256i process_mins_and_scales(const uint8_t * data, float c, int i, const Q8& q8, __m256 * accd) {
make_q4_scales(data, utmp);
const __m256i mins_and_scales = _mm256_cvtepu8_epi16(_mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]));
const __m128i mins128 = _mm256_extracti128_si256(mins_and_scales, 1);
accum_mins(mins128, q8, i, c, accd);
const __m128i sc128 = _mm256_extracti128_si256(mins_and_scales, 0);
return MM256_SET_M128I(sc128, sc128);
}
#ifdef HAVE_FANCY_SIMD
template <typename Q8>
inline __m512i process_mins_and_scales_64(const uint8_t * data, float c, int i, const Q8& q8, __m256 * accd) {
auto scales = process_mins_and_scales(data, c, i, q8, accd);
return _mm512_inserti32x8(_mm512_castsi256_si512(scales), scales, 1);
}
#endif
template <typename Q8>
inline void accum_mins(const __m128i& mins128, const Q8& q8, int i, float c, __m256 * accd) const {
const __m256i mins = MM256_SET_M128I(_mm_shuffle_epi8(mins128, shuffles[1]), _mm_shuffle_epi8(mins128, shuffles[0]));
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i q8s = q8.load_bsums(iy, i);
const __m256i prod = _mm256_madd_epi16(mins, q8s);
accd[iy] = _mm256_fmadd_ps(_mm256_set1_ps(c*q8.scale(iy, i)), _mm256_cvtepi32_ps(prod), accd[iy]);
}
}
#ifdef HAVE_FANCY_SIMD
const __m512i shuffles512[2] = {
_mm512_set_epi64(0x0706070607060706, 0x0302030203020302, 0x0706070607060706, 0x0302030203020302,
0x0504050405040504, 0x0100010001000100, 0x0504050405040504, 0x0100010001000100),
_mm512_set_epi64(0x0f0e0f0e0f0e0f0e, 0x0b0a0b0a0b0a0b0a, 0x0f0e0f0e0f0e0f0e, 0x0b0a0b0a0b0a0b0a,
0x0d0c0d0c0d0c0d0c, 0x0908090809080908, 0x0d0c0d0c0d0c0d0c, 0x0908090809080908)
};
#endif
const __m128i shuffles[2] = {_mm_set_epi32(0x07060706, 0x05040504, 0x03020302, 0x01000100),
_mm_set_epi32(0x0f0e0f0e, 0x0d0c0d0c, 0x0b0a0b0a, 0x09080908)};
uint32_t utmp[4];
};
template <typename Q8>
inline void process_mins_16(const __m256i& all_scales, const Q8& q8, int i, float d, __m256 * accm) {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i prod = _mm256_madd_epi16(all_scales, q8.load_bsums(iy, i));
accm[iy] = _mm256_fmadd_ps(_mm256_set1_ps(d * q8.scale(iy, i)), _mm256_cvtepi32_ps(prod), accm[iy]);
}
}
inline void prepare_scales_16(const __m256i& all_scales, __m256i * scales) {
const __m128i l_scales = _mm256_extracti128_si256(all_scales, 0);
const __m128i h_scales = _mm256_extracti128_si256(all_scales, 1);
scales[0] = MM256_SET_M128I(l_scales, l_scales);
scales[1] = MM256_SET_M128I(h_scales, h_scales);
}
struct ScaleQ3 {
inline __m128i make_scales(const uint16_t * s8) const {
const uint16_t * scales16 = (const uint16_t *)s8;
uint32_t aux0 = scales16[0] | (scales16[1] << 16);
uint32_t aux1 = scales16[2] | (scales16[3] << 16);
uint32_t aux2 = scales16[4] | (scales16[5] << 16);
__m128i scales128 = _mm_set_epi32(
((aux1 >> 4) & 0x0f0f0f0f) | ((aux2 >> 2) & 0x30303030),
((aux0 >> 4) & 0x0f0f0f0f) | ((aux2 >> 0) & 0x30303030),
(aux1 & 0x0f0f0f0f) | ((aux2 << 2) & 0x30303030),
(aux0 & 0x0f0f0f0f) | ((aux2 << 4) & 0x30303030));
return _mm_add_epi8(scales128, m32);
}
const __m128i m32 = _mm_set1_epi8(-32);
};
struct ScaleIQ4XS {
inline __m128i make_scales(const uint32_t scales_l, const uint16_t scales_h) {
uint32_t tmp32 = scales_h | (scales_h << 14);
const __m128i sh = _mm_slli_epi16(_mm_and_si128(_mm_srlv_epi32(_mm_set1_epi32(tmp32), hshift), hmask), 4);
const __m128i sl = _mm_and_si128(_mm_srlv_epi32(_mm_set1_epi32(scales_l), lshift), lmask);
return _mm_add_epi16(_mm_or_si128(sh, _mm_cvtepi8_epi16(_mm_shuffle_epi8(sl, lshuffle))), m32);
}
const __m128i hshift = _mm_set_epi32(12, 8, 4, 0);
const __m128i lshift = _mm_set_epi32(4, 0, 4, 0);
const __m128i hmask = _mm_set1_epi16(0x03);
const __m128i lmask = _mm_set1_epi8(0xf);
const __m128i lshuffle = _mm_set_epi32(0x07030602, 0x05010400, 0x07030602, 0x05010400);
const __m128i m32 = _mm_set1_epi16(-32);
};
struct Scales8KBase {
template <typename Q8>
inline void accum_mins(const __m128i& mins128, const Q8& q8, int i, float c, __m256 * accd) const {
const __m256i mins = MM256_SET_M128I(_mm_shuffle_epi8(mins128, shuffles[1]), _mm_shuffle_epi8(mins128, shuffles[0]));
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i q8s = q8.load_bsums(iy, i);
const __m256i prod = _mm256_madd_epi16(mins, q8s);
accd[iy] = _mm256_fmadd_ps(_mm256_set1_ps(c*q8.scale(iy, i)), _mm256_cvtepi32_ps(prod), accd[iy]);
}
}
inline __m256i shuffle(__m128i mins) const {
return MM256_SET_M128I(_mm_shuffle_epi8(mins, shuffles[1]), _mm_shuffle_epi8(mins, shuffles[0]));
}
const __m128i shuffles[2] = {_mm_set_epi32(0x07060706, 0x05040504, 0x03020302, 0x01000100),
_mm_set_epi32(0x0f0e0f0e, 0x0d0c0d0c, 0x0b0a0b0a, 0x09080908)};
};
template <typename Block>
struct BaseDequantizer {
BaseDequantizer(const void * vx, size_t bx) : vx(vx), bx(bx) {}
inline void new_row(int ix) {
x = (const Block *)((const char *)vx + bx*ix);
}
const void * vx;
size_t bx;
const Block * x;
float d;
};
__m128i inline load_iq4nl_values_128() {
static const uint8_t kvalues_iq4nl[16] = {1, 24, 45, 63, 79, 93, 106, 118, 129, 141, 153, 166, 181, 197, 217, 241};
return _mm_loadu_si128((const __m128i *)kvalues_iq4nl);
}
__m256i inline load_iq4nl_values_256() {
auto val128 = load_iq4nl_values_128();
return MM256_SET_M128I(val128, val128);
}
#ifdef HAVE_FANCY_SIMD
//====================================== Zen4 ==================================================
struct BlockPermuter {
const __m512i permute1 = _mm512_set_epi64(11, 10, 9, 8, 3, 2, 1, 0);
const __m512i permute2 = _mm512_set_epi64(15, 14, 13, 12, 7, 6, 5, 4);
};
struct Q4Bits {
inline void prepare(const uint8_t * q4) {
auto q4bits = _mm512_loadu_si512((const __m512i*)q4 + 0);
auto tmp1 = _mm512_and_si512(q4bits, ml);
auto tmp2 = _mm512_and_si512(_mm512_srli_epi16(q4bits, 4), ml);
values[0] = _mm512_permutex2var_epi64(tmp1, perm.permute1, tmp2);
values[1] = _mm512_permutex2var_epi64(tmp1, perm.permute2, tmp2);
q4bits = _mm512_loadu_si512((const __m512i*)q4 + 1);
tmp1 = _mm512_and_si512(q4bits, ml);
tmp2 = _mm512_and_si512(_mm512_srli_epi16(q4bits, 4), ml);
values[2] = _mm512_permutex2var_epi64(tmp1, perm.permute1, tmp2);
values[3] = _mm512_permutex2var_epi64(tmp1, perm.permute2, tmp2);
}
inline void prepare64(const uint8_t * q4) {
auto q4bits = _mm512_loadu_si512((const __m512i*)q4 + 0);
values[0] = _mm512_and_si512(q4bits, ml);
values[1] = _mm512_and_si512(_mm512_srli_epi16(q4bits, 4), ml);
q4bits = _mm512_loadu_si512((const __m512i*)q4 + 1);
values[2] = _mm512_and_si512(q4bits, ml);
values[3] = _mm512_and_si512(_mm512_srli_epi16(q4bits, 4), ml);
}
__m512i values[4];
const __m512i ml = _mm512_set1_epi8(0xf);
BlockPermuter perm;
};
struct Q2Bits {
inline void prepare(const uint8_t * q2) {
auto q2bits = _mm512_loadu_si512((const __m512i*)q2);
auto tmp = _mm512_srli_epi16(q2bits, 2);
values[0] = _mm512_permutex2var_epi64(q2bits, perm.permute1, tmp);
values[2] = _mm512_permutex2var_epi64(q2bits, perm.permute2, tmp);
values[1] = _mm512_and_si512(_mm512_srli_epi16(values[0], 4), ml);
values[3] = _mm512_and_si512(_mm512_srli_epi16(values[2], 4), ml);
values[0] = _mm512_and_si512(values[0], ml);
values[2] = _mm512_and_si512(values[2], ml);
}
__m512i values[4];
const __m512i ml = _mm512_set1_epi8(0x03);
BlockPermuter perm;
};
struct DequantizerQ4K final : public BaseDequantizer<block_q4_K> {
DequantizerQ4K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accd, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
bits.prepare(x[i].qs);
auto all_scales = s8k.process_mins_and_scales_64(x[i].scales, -GGML_FP16_TO_FP32(x[i].dmin), i, q8, accd);
scales[0] = _mm512_shuffle_epi8(all_scales, s8k.shuffles512[0]);
scales[1] = _mm512_shuffle_epi8(all_scales, s8k.shuffles512[1]);
}
Q4Bits bits;
Scales8K s8k;
};
/*
moonll DequantizerIQ4XS
*/
__m512i inline load_iq4nl_values_512() {
auto val256 = load_iq4nl_values_256();
return _mm512_inserti32x8(_mm512_castsi256_si512(val256), val256, 1);
}
struct DequantizerIQ4XS final : public BaseDequantizer<block_iq4_xs> {
DequantizerIQ4XS(const void * vx, size_t bx) : BaseDequantizer(vx, bx), values(load_iq4nl_values_512()) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accd, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
prepare(x[i].qs);
auto scales128 = siq4.make_scales(*(const uint32_t *)x[i].scales_l, x[i].scales_h);
s8k.accum_mins(scales128, q8, i, -128.f*d, accd);
auto scales256 = MM256_SET_M128I(scales128, scales128);
auto all_scales = _mm512_inserti32x8(_mm512_castsi256_si512(scales256), scales256, 1);
scales[0] = _mm512_shuffle_epi8(all_scales, shuffles[0]);
scales[1] = _mm512_shuffle_epi8(all_scales, shuffles[1]);
scales[2] = _mm512_shuffle_epi8(all_scales, shuffles[2]);
scales[3] = _mm512_shuffle_epi8(all_scales, shuffles[3]);
}
inline void prepare(const uint8_t * q4) {
bits.prepare64(q4);
// We now have in bits.valuse[0]: 0...15, 32...47, 64...79, 96...111
// bits.valuse[1]: 16..31, 48...63, 80...95, 112..127
// etc.
auto tmp = _mm512_permutex2var_epi64(bits.values[0], permute1, bits.values[1]);
bits.values[1] = _mm512_shuffle_epi8(values, _mm512_permutex2var_epi64(bits.values[0], permute2, bits.values[1]));
bits.values[0] = _mm512_shuffle_epi8(values, tmp);
tmp = _mm512_permutex2var_epi64(bits.values[2], permute1, bits.values[3]);
bits.values[3] = _mm512_shuffle_epi8(values, _mm512_permutex2var_epi64(bits.values[2], permute2, bits.values[3]));
bits.values[2] = _mm512_shuffle_epi8(values, tmp);
}
Q4Bits bits;
Scales8KBase s8k;
ScaleIQ4XS siq4;
const __m512i values;
const __m512i permute1 = _mm512_set_epi64(11, 10, 3, 2, 9, 8, 1, 0);
const __m512i permute2 = _mm512_set_epi64(15, 14, 7, 6, 13, 12, 5, 4);
const __m512i shuffles[4] = {
_mm512_inserti32x8(_mm512_set1_epi16(0x0100), _mm256_set1_epi16(0x0302), 1),
_mm512_inserti32x8(_mm512_set1_epi16(0x0504), _mm256_set1_epi16(0x0706), 1),
_mm512_inserti32x8(_mm512_set1_epi16(0x0908), _mm256_set1_epi16(0x0b0a), 1),
_mm512_inserti32x8(_mm512_set1_epi16(0x0d0c), _mm256_set1_epi16(0x0f0e), 1),
};
};
struct HighBit5 {
inline void apply(const uint8_t * h, Q4Bits& bits) {
auto hbits256 = _mm256_loadu_si256((const __m256i *)h);
auto hbits = _mm512_inserti32x8(_mm512_castsi256_si512(hbits256), _mm256_srli_epi16(hbits256, 1), 1);
bits.values[0] = _mm512_or_si512(bits.values[0], _mm512_and_si512(_mm512_slli_epi16(hbits, 4), mh));
bits.values[1] = _mm512_or_si512(bits.values[1], _mm512_and_si512(_mm512_slli_epi16(hbits, 2), mh));
bits.values[2] = _mm512_or_si512(bits.values[2], _mm512_and_si512(hbits, mh));
bits.values[3] = _mm512_or_si512(bits.values[3], _mm512_and_si512(_mm512_srli_epi16(hbits, 2), mh));
}
const __m512i mh = _mm512_set1_epi8(0x10);
};
struct HighBit3 {
inline void apply(const uint8_t * h, Q2Bits& bits) {
auto hbits256 = _mm256_loadu_si256((const __m256i *)h);
auto hbits = _mm512_inserti32x8(_mm512_castsi256_si512(hbits256), _mm256_srli_epi16(hbits256, 1), 1);
bits.values[0] = _mm512_or_si512(bits.values[0], _mm512_and_si512(_mm512_slli_epi16(hbits, 2), mh));
bits.values[1] = _mm512_or_si512(bits.values[1], _mm512_and_si512(hbits, mh));
bits.values[2] = _mm512_or_si512(bits.values[2], _mm512_and_si512(_mm512_srli_epi16(hbits, 2), mh));
bits.values[3] = _mm512_or_si512(bits.values[3], _mm512_and_si512(_mm512_srli_epi16(hbits, 4), mh));
}
const __m512i mh = _mm512_set1_epi8(0x04);
};
struct DequantizerQ5K final : public BaseDequantizer<block_q5_K> {
DequantizerQ5K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accd, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
bits.prepare(x[i].qs);
hbits.apply(x[i].qh, bits);
auto all_scales = s8k.process_mins_and_scales_64(x[i].scales, -GGML_FP16_TO_FP32(x[i].dmin), i, q8, accd);
scales[0] = _mm512_shuffle_epi8(all_scales, s8k.shuffles512[0]);
scales[1] = _mm512_shuffle_epi8(all_scales, s8k.shuffles512[1]);
}
Q4Bits bits;
HighBit5 hbits;
Scales8K s8k;
};
struct Scale16 {
inline void make_scales(const __m128i& scales8, __m512i * scales) const {
auto all_scales8 = MM256_SET_M128I(scales8, scales8);
auto scales1 = _mm256_shuffle_epi8(all_scales8, shuffle1);
auto scales2 = _mm256_shuffle_epi8(all_scales8, shuffle2);
scales[0] = _mm512_cvtepi8_epi16(scales1);
scales[1] = _mm512_cvtepi8_epi16(scales2);
}
template <typename Q8>
inline void process_mins_and_scales(int i, float c, const __m128i& mins8, const __m128i& scales8,
const Q8& q8, __m256 * accm, __m512i * scales) const {
process_mins_16(_mm256_cvtepi8_epi16(mins8), q8, i, c, accm);
make_scales(scales8, scales);
}
const __m256i shuffle1 = _mm256_set_epi32(0x07070707, 0x03030303, 0x06060606, 0x02020202,
0x05050505, 0x01010101, 0x04040404, 0x00000000);
const __m256i shuffle2 = _mm256_set_epi32(0x0f0f0f0f, 0x0b0b0b0b, 0x0e0e0e0e, 0x0a0a0a0a,
0x0d0d0d0d, 0x09090909, 0x0c0c0c0c, 0x08080808);
};
struct DequantizerQ2K final : public BaseDequantizer<block_q2_K> {
DequantizerQ2K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
bits.prepare(x[i].qs);
const __m128i mins_and_scales = _mm_loadu_si128((const __m128i*)x[i].scales);
const __m128i scales8 = _mm_and_si128(mins_and_scales, m4);
const __m128i mins8 = _mm_and_si128(_mm_srli_epi16(mins_and_scales, 4), m4);
sc16.process_mins_and_scales(i, -GGML_FP16_TO_FP32(x[i].dmin), mins8, scales8, q8, accm, scales);
}
Q2Bits bits;
Scale16 sc16;
const __m128i m4 = _mm_set1_epi8(0xf);
};
struct DequantizerQ3K final : public BaseDequantizer<block_q3_K> {
DequantizerQ3K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
bits.prepare(x[i].qs);
hbits.apply(x[i].hmask, bits);
auto scales128 = sc3.make_scales((const uint16_t *)x[i].scales);
sc16.process_mins_and_scales(i, -4.f*d, scales128, scales128, q8, accm, scales);
}
Q2Bits bits;
HighBit3 hbits;
ScaleQ3 sc3;
Scale16 sc16;
const __m128i m4 = _mm_set1_epi8(0xf);
const __m128i m32 = _mm_set1_epi8(-32);
};
struct DequantizerQ6K final : public BaseDequantizer<block_q6_K> {
DequantizerQ6K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m512i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
bits.prepare64(x[i].ql);
add_high_bits(x[i].qh, bits);
auto scales128 = _mm_loadu_si128((const __m128i *)x[i].scales);
sc16.process_mins_and_scales(i, -32.f*d, scales128, scales128, q8, accm, scales);
}
inline void add_high_bits(const uint8_t * qh, Q4Bits& bits) const {
auto hbits = _mm512_loadu_si512((const __m512i *)qh);
auto tmp1 = _mm512_and_si512(_mm512_slli_epi16(hbits, 4), mh);
auto tmp2 = _mm512_and_si512(_mm512_slli_epi16(hbits, 2), mh);
bits.values[0] = _mm512_or_si512(bits.values[0], _mm512_permutex2var_epi64(tmp1, bits.perm.permute1, tmp2));
bits.values[2] = _mm512_or_si512(bits.values[2], _mm512_permutex2var_epi64(tmp1, bits.perm.permute2, tmp2));
tmp1 = _mm512_and_si512(hbits, mh);
tmp2 = _mm512_and_si512(_mm512_srli_epi16(hbits, 2), mh);
bits.values[1] = _mm512_or_si512(bits.values[1], _mm512_permutex2var_epi64(tmp1, bits.perm.permute1, tmp2));
bits.values[3] = _mm512_or_si512(bits.values[3], _mm512_permutex2var_epi64(tmp1, bits.perm.permute2, tmp2));
}
Q4Bits bits;
HighBit3 hbits;
Scale16 sc16;
const __m512i mh = _mm512_set1_epi8(0x30);
};
template <typename Dequantizer, int nrc_y>
static void mul_mat_qX_K_q8_K_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y> q8(info);
Dequantizer deq(vx, bx);
__m256 accm[nrc_y];
__m512 accd[nrc_y];
__m512i scales[2];
for (int ix = 0; ix < nrc_x; ++ix) {
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm512_setzero_ps();
for (int iy = 0; iy < nrc_y; ++iy) accm[iy] = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
deq.new_block(i, q8, accm, scales);
for (int iy = 0; iy < nrc_y; ++iy) {
const __m512i p1 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[0], q8.load_quants(iy, i, 0));
const __m512i p2 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[1], q8.load_quants(iy, i, 1));
const __m512i p3 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[2], q8.load_quants(iy, i, 2));
const __m512i p4 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[3], q8.load_quants(iy, i, 3));
auto sumi = _mm512_dpwssd_epi32(_mm512_setzero_si512(), scales[0], _mm512_packs_epi32(p1, p2));
sumi = _mm512_dpwssd_epi32(sumi, scales[1], _mm512_packs_epi32(p3, p4));
accd[iy] = _mm512_fmadd_ps(_mm512_set1_ps(deq.d*q8.scale(iy, i)), _mm512_cvtepi32_ps(sumi), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
auto sum256 = _mm256_add_ps(_mm512_castps512_ps256(accd[iy]), _mm512_extractf32x8_ps(accd[iy], 1));
info.store(ix, iy, hsum_float_8(_mm256_add_ps(accm[iy], sum256)));
}
}
}
template <typename Q8>
inline void compute_block(int iy, int i, float d, const Q8& q8, const __m512i * values, const __m512i * scales, __m512 * accd) {
const __m512i p1 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), values[0], q8.load_quants64(iy, i, 0));
const __m512i p2 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), values[1], q8.load_quants64(iy, i, 1));
const __m512i p3 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), values[2], q8.load_quants64(iy, i, 2));
const __m512i p4 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), values[3], q8.load_quants64(iy, i, 3));
auto sumi = _mm512_dpwssd_epi32(_mm512_setzero_si512(), scales[0], _mm512_packs_epi32(p1, p2));
sumi = _mm512_dpwssd_epi32(sumi, scales[1], _mm512_packs_epi32(p3, p4));
accd[iy] = _mm512_fmadd_ps(_mm512_set1_ps(d*q8.scale(iy, i)), _mm512_cvtepi32_ps(sumi), accd[iy]);
}
template <typename Dequantizer, int nrc_y>
static void mul_mat_qX_K_q8_K_AVX512(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y> q8(info);
Dequantizer deq(vx, bx);
__m256 accm[nrc_y];
__m512 accd[nrc_y];
__m512i scales[2];
for (int ix = 0; ix < nrc_x; ++ix) {
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm512_setzero_ps();
for (int iy = 0; iy < nrc_y; ++iy) accm[iy] = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
deq.new_block(i, q8, accm, scales);
for (int iy = 0; iy < nrc_y; ++iy) {
const __m512i p1 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[0], q8.load_quants64(iy, i, 0));
const __m512i p2 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[1], q8.load_quants64(iy, i, 1));
const __m512i p3 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[2], q8.load_quants64(iy, i, 2));
const __m512i p4 = _mm512_dpbusd_epi32(_mm512_setzero_si512(), deq.bits.values[3], q8.load_quants64(iy, i, 3));
auto sumi = _mm512_dpwssd_epi32(_mm512_setzero_si512(), scales[0], _mm512_packs_epi32(p1, p2));
sumi = _mm512_dpwssd_epi32(sumi, scales[1], _mm512_packs_epi32(p3, p4));
accd[iy] = _mm512_fmadd_ps(_mm512_set1_ps(deq.d*q8.scale(iy, i)), _mm512_cvtepi32_ps(sumi), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
auto sum256 = _mm256_add_ps(_mm512_castps512_ps256(accd[iy]), _mm512_extractf32x8_ps(accd[iy], 1));
info.store(ix, iy, hsum_float_8(_mm256_add_ps(accm[iy], sum256)));
}
}
}
template <typename Dequantizer, int nrc_y>
static void mul_mat_iqX_k_q8_K_AVX512(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y> q8(info);
Dequantizer deq(vx, bx);
__m256 accm[nrc_y];
__m512 accd[nrc_y];
__m512i scales[4];
for (int ix = 0; ix < nrc_x; ++ix) {
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm512_setzero_ps();
for (int iy = 0; iy < nrc_y; ++iy) accm[iy] = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
deq.new_block(i, q8, accm, scales);
for (int iy = 0; iy < nrc_y; ++iy) {
const __m512i p1 = _mm512_maddubs_epi16(deq.bits.values[0], q8.load_quants64(iy, i, 0));
const __m512i p2 = _mm512_maddubs_epi16(deq.bits.values[1], q8.load_quants64(iy, i, 1));
const __m512i p3 = _mm512_maddubs_epi16(deq.bits.values[2], q8.load_quants64(iy, i, 2));
const __m512i p4 = _mm512_maddubs_epi16(deq.bits.values[3], q8.load_quants64(iy, i, 3));
auto sumi = _mm512_dpwssd_epi32(_mm512_dpwssd_epi32(_mm512_dpwssd_epi32(_mm512_dpwssd_epi32(_mm512_setzero_si512(),
p1, scales[0]), p2, scales[1]), p3, scales[2]), p4, scales[3]);
accd[iy] = _mm512_fmadd_ps(_mm512_set1_ps(deq.d*q8.scale(iy, i)), _mm512_cvtepi32_ps(sumi), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
auto sum256 = _mm256_add_ps(_mm512_castps512_ps256(accd[iy]), _mm512_extractf32x8_ps(accd[iy], 1));
info.store(ix, iy, hsum_float_8(_mm256_add_ps(accm[iy], sum256)));
}
}
}
template <typename Dequantizer>
static void mul_mat_qX_K_q8_K_AVX512_1(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
constexpr int k_nx = 2;
Q8<1> q8(info);
Dequantizer deq1(vx, bx);
Dequantizer deq2(vx, bx);
Dequantizer * deq[k_nx];
deq[0] = &deq1;
deq[1] = &deq2;
__m512i scales[2*k_nx];
for (int ix = 0; ix < nrc_x; ++ix) {
auto accd = _mm512_setzero_ps();
auto accm = _mm256_setzero_ps();
for (int kx = 0; kx < k_nx; ++kx) deq[kx]->new_row(ix);
for (int i = 0; i < nb/k_nx; ++i) {
for (int kx = 0; kx < k_nx; ++kx) deq[kx]->new_block(k_nx*i+kx, q8, &accm, scales+2*kx);
for (int kx = 0; kx < k_nx; ++kx) {
compute_block(0, k_nx*i+kx, deq[kx]->d, q8, deq[kx]->bits.values, scales+2*kx, &accd);
}
}
if (2*(nb/2) < nb) {
int i0 = 2*(nb/2);
deq[0]->new_block(i0, q8, &accm, scales);
compute_block(0, i0, deq[0]->d, q8, deq[0]->bits.values, scales, &accd);
}
auto sum256 = _mm256_add_ps(_mm512_castps512_ps256(accd), _mm512_extractf32x8_ps(accd, 1));
info.store(ix, 0, hsum_float_8(_mm256_add_ps(accm, sum256)));
}
}
#else
// ===================================== Vanilla AVX2 =====================================
struct Q4Bits {
inline void prepare(const uint8_t * q4, int j) {
auto q4bits = _mm256_loadu_si256((const __m256i*)q4 + 2*j+0);
values[0] = _mm256_and_si256(q4bits, ml);
values[1] = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), ml);
q4bits = _mm256_loadu_si256((const __m256i*)q4 + 2*j+1);
values[2] = _mm256_and_si256(q4bits, ml);
values[3] = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), ml);
}
inline void prepare64(const uint8_t * q4, int j) {
auto q4bits = _mm256_loadu_si256((const __m256i*)q4 + 2*j+0);
values[0] = _mm256_and_si256(q4bits, ml);
values[2] = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), ml);
q4bits = _mm256_loadu_si256((const __m256i*)q4 + 2*j+1);
values[1] = _mm256_and_si256(q4bits, ml);
values[3] = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), ml);
}
inline void prepare16(const uint8_t * q4, int j) {
values[0] = dequant16(q4 + 64*j + 0);
values[1] = dequant16(q4 + 64*j + 16);
values[2] = dequant16(q4 + 64*j + 32);
values[3] = dequant16(q4 + 64*j + 48);
}
inline __m256i dequant16(const uint8_t * qs) const {
const __m128i aux128 = _mm_loadu_si128((const __m128i *)qs);
const __m256i aux256 = MM256_SET_M128I(_mm_srli_epi16(aux128, 4), aux128);
return _mm256_and_si256(ml, aux256);
};
__m256i values[4];
const __m256i ml = _mm256_set1_epi8(0xf);
};
struct Q2Bits {
inline void prepare(const uint8_t * q2, int j) {
auto q2bits = _mm256_loadu_si256((const __m256i *)q2 + j);
values[0] = _mm256_and_si256(q2bits, ml);
values[1] = _mm256_and_si256(_mm256_srli_epi16(q2bits, 2), ml);
values[2] = _mm256_and_si256(_mm256_srli_epi16(q2bits, 4), ml);
values[3] = _mm256_and_si256(_mm256_srli_epi16(q2bits, 6), ml);
}
__m256i values[4];
const __m256i ml = _mm256_set1_epi8(0x03);
};
struct HighBit5 {
inline void load(const uint8_t * h) { hbits = _mm256_loadu_si256((const __m256i *)h); }
inline void apply(Q4Bits& bits, bool do_shift) {
bits.values[0] = _mm256_or_si256(bits.values[0], _mm256_and_si256(_mm256_slli_epi16(hbits, 4), mh));
bits.values[1] = _mm256_or_si256(bits.values[1], _mm256_and_si256(_mm256_slli_epi16(hbits, 3), mh));
bits.values[2] = _mm256_or_si256(bits.values[2], _mm256_and_si256(_mm256_slli_epi16(hbits, 2), mh));
bits.values[3] = _mm256_or_si256(bits.values[3], _mm256_and_si256(_mm256_slli_epi16(hbits, 1), mh));
if (do_shift) {
hbits = _mm256_srli_epi16(hbits, 4);
}
}
const __m256i mh = _mm256_set1_epi8(0x10);
__m256i hbits;
};
struct HighBit3 {
inline void load(const uint8_t * h) { hbits = _mm256_loadu_si256((const __m256i *)h); }
inline void apply(Q2Bits& bits, bool do_shift) {
bits.values[0] = _mm256_or_si256(bits.values[0], _mm256_and_si256(_mm256_slli_epi16(hbits, 2), mh));
bits.values[1] = _mm256_or_si256(bits.values[1], _mm256_and_si256(_mm256_slli_epi16(hbits, 1), mh));
bits.values[2] = _mm256_or_si256(bits.values[2], _mm256_and_si256(hbits, mh));
bits.values[3] = _mm256_or_si256(bits.values[3], _mm256_and_si256(_mm256_srli_epi16(hbits, 1), mh));
if (do_shift) {
hbits = _mm256_srli_epi16(hbits, 4);
}
}
const __m256i mh = _mm256_set1_epi8(0x04);
__m256i hbits;
};
/*
template <typename Q8, typename Bits>
inline void multiply_add(const Bits& bits, const __m256i * scales, int j, int i, const Q8& q8, __m256i * sumi) {
if (j == 0) {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 0)));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 1)));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 2)));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 3)));
sumi[iy] = _mm256_add_epi32(_mm256_add_epi32(p1, p3), _mm256_add_epi32(p2, p4));
}
} else {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 4)));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 5)));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 6)));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 7)));
sumi[iy] = _mm256_add_epi32(sumi[iy], _mm256_add_epi32(p1, p3));
sumi[iy] = _mm256_add_epi32(sumi[iy], _mm256_add_epi32(p2, p4));
}
}
}*/
struct DequantizerQ4K final : public BaseDequantizer<block_q4_K> {
DequantizerQ4K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline __m256i new_block(int i, const Q8& q8, __m256 * accd) {
d = GGML_FP16_TO_FP32(x[i].d);
return s8k.process_mins_and_scales(x[i].scales, -GGML_FP16_TO_FP32(x[i].dmin), i, q8, accd);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs, j);
}
Q4Bits bits;
Scales8K s8k;
};
struct DequantizerIQ4XS final : public BaseDequantizer<block_iq4_xs> {
DequantizerIQ4XS(const void * vx, size_t bx) : BaseDequantizer(vx, bx), values(load_values()) {}
template <typename Q8>
inline __m256i new_block(int i, const Q8& q8, __m256 * accd) {
d = GGML_FP16_TO_FP32(x[i].d);
auto scales128 = siq4.make_scales(*(const uint32_t *)x[i].scales_l, x[i].scales_h);
s8k.accum_mins(scales128, q8, i, -128.f*d, accd);
return MM256_SET_M128I(scales128, scales128);
}
inline void prepare(int i, int j) {
bits.prepare16(x[i].qs, j);
bits.values[0] = _mm256_shuffle_epi8(values, bits.values[0]);
bits.values[1] = _mm256_shuffle_epi8(values, bits.values[1]);
bits.values[2] = _mm256_shuffle_epi8(values, bits.values[2]);
bits.values[3] = _mm256_shuffle_epi8(values, bits.values[3]);
}
static __m256i load_values() {
static const uint8_t kvalues_iq4nl[16] = {1, 24, 45, 63, 79, 93, 106, 118, 129, 141, 153, 166, 181, 197, 217, 241};
auto val128 = _mm_loadu_si128((const __m128i *)kvalues_iq4nl);
return MM256_SET_M128I(val128, val128);
}
Q4Bits bits;
Scales8K s8k;
ScaleIQ4XS siq4;
const __m256i values;
};
struct DequantizerQ5K final : public BaseDequantizer<block_q5_K> {
DequantizerQ5K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline __m256i new_block(int i, const Q8& q8, __m256 * accd) {
d = GGML_FP16_TO_FP32(x[i].d);
hbits.load(x[i].qh);
return s8k.process_mins_and_scales(x[i].scales, -GGML_FP16_TO_FP32(x[i].dmin), i, q8, accd);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs, j);
hbits.apply(bits, j == 0);
}
Q4Bits bits;
HighBit5 hbits;
Scales8K s8k;
};
template <typename Q8>
inline void process_mins_and_scales_16(const __m128i& scales128, const Q8& q8, int i, float d,
__m256 * accm, __m256i * scales) {
const __m256i all_scales = _mm256_cvtepi8_epi16(scales128);
process_mins_16(all_scales, q8, i, d, accm);
prepare_scales_16(all_scales, scales);
}
struct DequantizerQ3K final : public BaseDequantizer<block_q3_K> {
DequantizerQ3K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m256i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
hbits.load(x[i].hmask);
process_mins_and_scales_16(sc3.make_scales((const uint16_t *)x[i].scales), q8, i, -4.f*d, accm, scales);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs, j);
hbits.apply(bits, j == 0);
}
Q2Bits bits;
HighBit3 hbits;
ScaleQ3 sc3;
const __m128i m32 = _mm_set1_epi8(-32);
};
struct DequantizerQ2K final : public BaseDequantizer<block_q2_K> {
DequantizerQ2K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m256i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
const __m128i mins_and_scales = _mm_loadu_si128((const __m128i*)x[i].scales);
const __m128i scales8 = _mm_and_si128(mins_and_scales, m4);
const __m128i mins8 = _mm_and_si128(_mm_srli_epi16(mins_and_scales, 4), m4);
process_mins_16(_mm256_cvtepi8_epi16(mins8), q8, i, -GGML_FP16_TO_FP32(x[i].dmin), accm);
prepare_scales_16(_mm256_cvtepi8_epi16(scales8), scales);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs, j);
}
Q2Bits bits;
const __m128i m4 = _mm_set1_epi8(0xf);
};
struct DequantizerQ6K final : public BaseDequantizer<block_q6_K> {
DequantizerQ6K(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
template <typename Q8>
inline void new_block(int i, const Q8& q8, __m256 * accm, __m256i * scales) {
d = GGML_FP16_TO_FP32(x[i].d);
process_mins_and_scales_16(_mm_loadu_si128((const __m128i *)x[i].scales), q8, i, -32.f*d, accm, scales);
}
inline void prepare(int i, int j) {
bits.prepare64(x[i].ql, j);
auto hbits = _mm256_loadu_si256((const __m256i *)x[i].qh + j);
bits.values[0] = _mm256_or_si256(bits.values[0], _mm256_and_si256(_mm256_slli_epi16(hbits, 4), mh));
bits.values[1] = _mm256_or_si256(bits.values[1], _mm256_and_si256(_mm256_slli_epi16(hbits, 2), mh));
bits.values[2] = _mm256_or_si256(bits.values[2], _mm256_and_si256(hbits, mh));
bits.values[3] = _mm256_or_si256(bits.values[3], _mm256_and_si256(_mm256_srli_epi16(hbits, 2), mh));
}
Q4Bits bits;
const __m256i mh = _mm256_set1_epi8(0x30);
};
inline __m256i get_scale_shuffle_8(int i);
inline void set_scales_8(const __m256i& all_scales, int j, __m256i* scales);
inline __m256i get_scale_shuffle_16(int i);
inline void set_scales_16(const __m256i& all_scales, __m256i* scales);
template <typename Dequantizer, int nrc_y>
static void mul_mat_qY_K_q8_K_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n%QK_K == 0);
const int nb = n/QK_K;
Q8<nrc_y> q8(info);
__m256i all_scales[2];
__m256i scales[4];
__m256 accd[nrc_y];
Dequantizer deq(vx, bx);
for (int ix = 0; ix < nrc_x; ++ix) {
deq.new_row(ix);
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm256_setzero_ps();
for (int i = 0; i < nb; ++i) {
deq.new_block(i, q8, accd, all_scales);
__m256i sumi[nrc_y];
for (int j = 0; j < QK_K/128; ++j) {
deq.prepare(i, j);
set_scales_16(all_scales[j], scales);
multiply_add(deq.bits, scales, j, i, q8, sumi);
}
for (int iy = 0; iy < nrc_y; ++iy) {
accd[iy] = _mm256_fmadd_ps(_mm256_set1_ps(deq.d*q8.scale(iy, i)), _mm256_cvtepi32_ps(sumi[iy]), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, hsum_float_8(accd[iy]));
}
}
}
template <typename Dequantizer, int nrc_y>
static void mul_mat_qX_K_q8_K_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y> q8(info);
Dequantizer deq(vx, bx);
__m256 accd[nrc_y];
__m256i scales[4];
for (int ix = 0; ix < nrc_x; ++ix) {
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
auto all_scales = deq.new_block(i, q8, accd);
__m256i sumi[nrc_y];
for (int j = 0; j < QK_K/128; ++j) {
deq.prepare(i, j);
set_scales_8(all_scales, j, scales);
multiply_add(deq.bits, scales, j, i, q8, sumi);
}
for (int iy = 0; iy < nrc_y; ++iy) {
const __m256 vd = _mm256_set1_ps(deq.d*q8.scale(iy, i));
accd[iy] = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(sumi[iy]), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, hsum_float_8(accd[iy]));
}
}
}
#endif // Zen4 or vanilla AVX2
//
// ============================== Legacy quants
//
struct DotHelper {
const __m256i m1 = _mm256_set1_epi16(1);
#if defined(__AVX512VNNI__) && defined(__AVX512VL__)
inline __m256i dot(__m256i x, __m256i y) const {
return _mm256_dpbusd_epi32(_mm256_setzero_si256(), x, y);
}
#else
inline __m256i dot(__m256i x, __m256i y) const {
return _mm256_madd_epi16(m1, _mm256_maddubs_epi16(x, y));
}
#endif
};
struct SignedDot {
DotHelper helper;
inline __m256i compute(__m256i x, __m256i y) const {
return helper.dot(_mm256_sign_epi8(x, x), _mm256_sign_epi8(y, x));
}
};
struct UnsignedDot {
DotHelper helper;
inline __m256i compute(__m256i x, __m256i y) const {
return helper.dot(x, y);
}
};
template <typename Q8, typename Dot> struct Sum4 {
Dot dot;
inline __m256i compute(const __m256i * qx, const Q8 * y) const {
const __m256i p0 = dot.compute(qx[0], _mm256_loadu_si256((const __m256i *)y[0].qs));
const __m256i p1 = dot.compute(qx[1], _mm256_loadu_si256((const __m256i *)y[1].qs));
const __m256i p2 = dot.compute(qx[2], _mm256_loadu_si256((const __m256i *)y[2].qs));
const __m256i p3 = dot.compute(qx[3], _mm256_loadu_si256((const __m256i *)y[3].qs));
const __m256i p01 = _mm256_madd_epi16(dot.helper.m1, _mm256_packs_epi32(p0, p1)); // 0,0, 1,1, 0,0, 1,1
const __m256i p23 = _mm256_madd_epi16(dot.helper.m1, _mm256_packs_epi32(p2, p3)); // 2,2, 3,3, 2,2, 3,3
return _mm256_madd_epi16(dot.helper.m1, _mm256_packs_epi32(p01, p23)); // 0,1,2,3, 0,1,2,3
}
};
struct Sum4_Q8 {
SignedDot dot;
static inline __m256i add1(__m256i a, __m256i b) {
return _mm256_add_epi32(_mm256_unpacklo_epi32(a, b), _mm256_unpackhi_epi32(a, b));
}
static inline __m256i add2(__m256i a, __m256i b) {
return _mm256_add_epi32(_mm256_unpacklo_epi64(a, b), _mm256_unpackhi_epi64(a, b));
}
inline __m256i compute(const __m256i * qx, const block_q8_0 * y) const {
const __m256i p0 = dot.compute(qx[0], _mm256_loadu_si256((const __m256i *)y[0].qs));
const __m256i p1 = dot.compute(qx[1], _mm256_loadu_si256((const __m256i *)y[1].qs));
const __m256i p2 = dot.compute(qx[2], _mm256_loadu_si256((const __m256i *)y[2].qs));
const __m256i p3 = dot.compute(qx[3], _mm256_loadu_si256((const __m256i *)y[3].qs));
const __m256i p01 = add1(p0, p1); // 0,1, 0,1, 0,1, 0,1
const __m256i p23 = add1(p2, p3); // 2,3, 2,3, 2,3, 2,3
return add2(p01, p23); // returns 0,1,2,3, 0,1,2,3
}
};
struct ScaleHelperQ_0 {
ggml_half scales8[4];
template <typename Q>
inline __m128 prepare4(const Q * y) {
for (int j = 0; j < 4; ++j) scales8[j] = y[j].d;
return _mm_cvtph_ps(_mm_loadl_epi64((const __m128i *)scales8));
}
template <typename Q>
inline __m128 prepare4(__m128 other_scales, const Q * y) {
return _mm_mul_ps(other_scales, prepare4<Q>(y));
}
template <typename Q> inline float prepare1(const Q * y) const { return GGML_FP16_TO_FP32(y->d); }
template <typename Q> inline float prepare1(float d, const Q * y) const { return d*prepare1(y); }
};
template <int min_value>
struct ScaleHelperQ_0_1 {
ggml_half scales8[4];
template <typename Q>
inline __m256 prepare4(const Q * y) {
for (int j = 0; j < 4; ++j) scales8[j] = y[j].d;
auto s4 = _mm_cvtph_ps(_mm_loadl_epi64((const __m128i *)scales8));
return _mm256_set_m128(_mm_mul_ps(s4, min), s4);
}
template <typename Q>
inline __m256 prepare4(__m256 other_scales, const Q * y) {
return _mm_mul256_ps(other_scales, prepare4<Q>(y));
}
template <typename Q> inline std::pair<float, float> prepare1(const Q * y) const {
float d = GGML_FP16_TO_FP32(y->d);
return std::make_pair(d, -d*float(min_value));
}
std::pair<float, float> inline prepare1(const std::pair<float, float>& dm, const block_q8_1 * y) const {
return std::make_pair(dm.first*GGML_FP16_TO_FP32(y->d), dm.second*GGML_FP16_TO_FP32(y->s));
}
const __m128 min = _mm_set1_ps(float(-min_value));
};
struct ScaleHelperQ_1 {
uint32_t scales8[4];
const __m128i shuffle = _mm_set_epi16(0x0f0e, 0x0b0a, 0x0706, 0x0302, 0x0d0c, 0x0908, 0x0504, 0x0100);
template <typename Q>
inline __m256 prepare4(const Q * y) {
for (int j = 0; j < 4; ++j) {
// it is slightly faster to directly dereference (const uint32 *)&y[j].d, but some compilers
// complain that this breaks strict-aliasing rules.
memcpy(scales8 + j, &y[j].d, sizeof(uint32_t));
}
return _mm256_cvtph_ps(_mm_shuffle_epi8(_mm_loadu_si128((const __m128i *)scales8), shuffle));
}
template <typename Q>
inline __m256 prepare4(__m256 other_scales, const Q * y) {
return _mm256_mul_ps(other_scales, prepare4<Q>(y));
}
template <typename Q> inline std::pair<float, float> prepare1(const Q * y) const {
return std::make_pair(GGML_FP16_TO_FP32(y->d), GGML_FP16_TO_FP32(y->m));
}
template <typename Q> inline std::pair<float, float> prepare1(const std::pair<float, float>& dm, const Q * y) const {
return std::make_pair(dm.first*GGML_FP16_TO_FP32(y->d), dm.second*GGML_FP16_TO_FP32(y->m));
}
std::pair<float, float> inline prepare1(const std::pair<float, float>& dm, const block_q8_1 * y) const {
return std::make_pair(dm.first*GGML_FP16_TO_FP32(y->d), dm.second*GGML_FP16_TO_FP32(y->s));
}
};
struct MinusType0 {
inline __m256 compute(__m128 d, int) const { return _mm256_set_m128(d, d); }
inline float compute(float d, int) const { return d; }
inline float result(__m256 acc, int) const { return hsum_float_8(acc); }
};
template <int nrc_y> struct MinusType1 {
__m128 accm[nrc_y];
MinusType1() { for (int iy = 0; iy < nrc_y; ++iy) accm[iy] = _mm_setzero_ps(); }
inline __m256 compute(__m256 dm, int iy) {
const __m128 d = _mm256_castps256_ps128(dm);
const __m128 m = _mm256_extractf128_ps(dm, 1);
accm[iy] = _mm_add_ps(accm[iy], m);
return _mm256_set_m128(d, d);
}
inline float compute(const std::pair<float, float>& dm, int iy) {
accm[iy] = _mm_add_ps(accm[iy], _mm_set1_ps(dm.second*0.25f));
return dm.first;
}
inline float result(__m256 acc, int iy) const {
const __m128 sum = _mm_add_ps(_mm256_castps256_ps128(acc), _mm256_extractf128_ps(acc, 1));
return hsum_float_4(_mm_add_ps(sum, accm[iy]));
}
};
template <typename Minus, int nrc_y, bool is_multiple_of_4> struct AccumT {
__m256 acc[nrc_y];
Minus accm;
AccumT() { for (int iy = 0; iy < nrc_y; ++iy) acc[iy] = _mm256_setzero_ps(); }
template <typename Unpacker, typename Scales, typename Sum, typename Q8>
inline void compute(int nb, Unpacker& unp, Scales& scales, Sum& sum, const Q8 ** y, const DataInfo& info, int ix) {
auto qx = unp.quants();
__m256 dall[nrc_y];
for (int i = 0; i < nb/4; ++i) {
auto other_scales = unp.set_block_4(i);
for (int iy = 0; iy < nrc_y; ++iy) {
auto s12 = scales.prepare4(other_scales, y[iy] + 4*i);
dall[iy] = accm.compute(s12, iy);
}
for (int iy = 0; iy < nrc_y; ++iy) {
auto pall = sum.compute(qx, y[iy] + 4*i);
acc[iy] = _mm256_fmadd_ps(dall[iy], _mm256_cvtepi32_ps(pall), acc[iy]);
}
}
if (!is_multiple_of_4) {
for (int i = 4*(nb/4); i < nb; ++i) {
auto other_scales = unp.set_block(i);
for (int iy = 0; iy < nrc_y; ++iy) {
auto s12 = scales.prepare1(other_scales, y[iy] + i);
auto d = accm.compute(s12, iy);
const __m256i p0 = sum.dot.compute(qx[0], _mm256_loadu_si256((const __m256i *)y[iy][i].qs));
acc[iy] = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(p0), acc[iy]);
}
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, accm.result(acc[iy], iy));
//s[iy*bs] = accm.result(acc[iy], iy);
}
}
};
template <int nrc_y, bool is_multiple_of_4>
using AccumType0 = AccumT<MinusType0, nrc_y, is_multiple_of_4>;
template <int nrc_y, bool is_multiple_of_4>
using AccumType1 = AccumT<MinusType1<nrc_y>, nrc_y, is_multiple_of_4>;
using Sum4Type0 = Sum4<block_q8_0, SignedDot>;
using Sum4Type1 = Sum4<block_q8_1, UnsignedDot>;
template <typename Unpacker, typename Sum4Type, typename AccumType, typename Scales, typename Q8, int nrc_y>
void mul_mat_qX_q8_Helper(int nb, const void * vx, size_t bx, const DataInfo& info, const Q8 ** y, int nrc_x) {
Unpacker unp(vx, bx);
Sum4Type sum4;
Scales scales;
for (int ix = 0; ix < nrc_x; ++ix) {
unp.set_row(ix);
AccumType accum;
accum.compute(nb, unp, scales, sum4, y, info, ix);
}
}
template <typename Unpacker, int nrc_y>
void mul_mat_qX_0_q8_0_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n%Unpacker::block_size() == 0);
Q8<nrc_y, block_q8_0> q8(info);
int nb = n/Unpacker::block_size();
if (nb%4 == 0) {
mul_mat_qX_q8_Helper<Unpacker, Sum4Type0, AccumType0<nrc_y, true>, ScaleHelperQ_0, block_q8_0, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
} else {
mul_mat_qX_q8_Helper<Unpacker, Sum4Type0, AccumType0<nrc_y, false>, ScaleHelperQ_0, block_q8_0, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
}
}
template <typename Unpacker, int nrc_y>
void mul_mat_qX_1_q8_1_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n%Unpacker::block_size() == 0);
Q8<nrc_y, block_q8_1> q8(info);
int nb = n/Unpacker::block_size();
if (nb%4 == 0) {
mul_mat_qX_q8_Helper<Unpacker, Sum4Type1, AccumType1<nrc_y, true>, ScaleHelperQ_1, block_q8_1, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
} else {
mul_mat_qX_q8_Helper<Unpacker, Sum4Type1, AccumType1<nrc_y, false>, ScaleHelperQ_1, block_q8_1, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
}
}
struct Dequantizer4bit {
const __m256i m4 = _mm256_set1_epi8(0xf);
inline __m256i dequant(const uint8_t * qs) const {
const __m128i aux128 = _mm_loadu_si128((const __m128i *)qs);
return _mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(aux128, 4), aux128), m4);
}
};
struct Q8_0_Dequantizer {
inline __m256i dequant(const block_q8_0 * x) const {
return _mm256_loadu_si256((const __m256i *)x->qs);
}
};
struct Q8_0_1_Dequantizer {
inline __m256i dequant(const block_q8_0 * x) const {
return _mm256_add_epi8(_mm256_set1_epi8(127), _mm256_loadu_si256((const __m256i *)x->qs));
}
};
struct Q4_0_Dequantizer {
Dequantizer4bit b4;
const __m256i m8 = _mm256_set1_epi8(-8);
inline __m256i dequant(const block_q4_0 * x) const {
return _mm256_add_epi8(b4.dequant(x->qs), m8);
}
};
struct Q4_1_Dequantizer {
Dequantizer4bit b4;
inline __m256i dequant(const block_q4_1 * x) const {
return b4.dequant(x->qs);
}
};
struct HBitDequantizer {
const __m256i shuffle = _mm256_set_epi64x(0x0303030303030303, 0x0202020202020202, 0x0101010101010101, 0x0000000000000000);
const __m256i mask = _mm256_set1_epi64x(0x7fbfdfeff7fbfdfe);
const __m256i minus1 = _mm256_set1_epi64x(-1);
inline __m256i to_bytes(const uint8_t * bits) const {
// Note: Data in all ggml quants is at least 2-byte aligned.
// => we can cast to uint16_t and use or on two consecutive entries
// which is faster than memcpy
const uint16_t * aux16 = (const uint16_t *)bits;
const uint32_t aux32 = aux16[0] | (aux16[1] << 16);
//uint32_t aux32; memcpy(&aux32, bits, sizeof(uint32_t));
__m256i bytes = _mm256_shuffle_epi8(_mm256_set1_epi32(aux32), shuffle);
bytes = _mm256_or_si256(bytes, mask);
return _mm256_cmpeq_epi8(bytes, minus1);
}
};
struct Q5_0_Dequantizer {
Dequantizer4bit b4;
HBitDequantizer hbit;
const __m256i mh = _mm256_set1_epi8((char)0xF0);
inline __m256i dequant(const block_q5_0 * x) const {
const __m256i vqh = _mm256_andnot_si256(hbit.to_bytes(x->qh), mh);
return _mm256_or_si256(b4.dequant(x->qs), vqh);
}
};
struct Q5_1_Dequantizer {
Dequantizer4bit b4;
HBitDequantizer hbit;
const __m256i mh = _mm256_set1_epi8(0x10);
inline __m256i dequant(const block_q5_1 * x) const {
const __m256i vqh = _mm256_and_si256(hbit.to_bytes(x->qh), mh);
return _mm256_or_si256(b4.dequant(x->qs), vqh);
}
};
template <typename Q, typename Scales, typename Dequantizer>
struct Q_Unpacker {
Q_Unpacker(const void * vx, size_t bx) : cx_0((const char *)vx), x((const Q*)cx_0), bx(bx) {}
const char * cx_0;
const Q * x;
size_t bx;
Scales scales;
Dequantizer deq;
__m256i qx[4];
inline const __m256i* quants() const { return qx; }
inline void set_row(int ix) { x = (const Q*)(cx_0 + ix*bx); }
inline auto set_block_4(int i) {
for (int j = 0; j < 4; ++j) {
qx[j] = deq.dequant(x + 4*i + j);
}
return scales.prepare4(x + 4*i);
}
inline auto set_block(int i) {
qx[0] = deq.dequant(x + i);
return scales.prepare1(x + i);
}
};
struct Q8_0_Unpacker final : public Q_Unpacker<block_q8_0, ScaleHelperQ_0, Q8_0_Dequantizer> {
Q8_0_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
inline static int block_size() { return QK4_0; }
};
struct Q8_0_1_Unpacker final : public Q_Unpacker<block_q8_0, ScaleHelperQ_0_1<127>, Q8_0_1_Dequantizer> {
Q8_0_1_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
// using Sum4T = Sum4TypeQ81;
inline static int block_size() { return QK8_0; }
};
struct Q4_0_Unpacker final : public Q_Unpacker<block_q4_0, ScaleHelperQ_0, Q4_0_Dequantizer> {
Q4_0_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
inline static int block_size() { return QK4_0; }
};
struct Q5_0_Unpacker final : public Q_Unpacker<block_q5_0, ScaleHelperQ_0, Q5_0_Dequantizer> {
Q5_0_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
inline static int block_size() { return QK5_0; }
};
struct Q4_1_Unpacker final : public Q_Unpacker<block_q4_1, ScaleHelperQ_1, Q4_1_Dequantizer> {
Q4_1_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
inline static int block_size() { return QK4_1; }
};
struct Q5_1_Unpacker final : public Q_Unpacker<block_q5_1, ScaleHelperQ_1, Q5_1_Dequantizer> {
Q5_1_Unpacker(const void * vx, size_t bx) : Q_Unpacker(vx, bx) {}
inline static int block_size() { return QK4_1; }
};
template <int nrc_y>
void mul_mat_q8_0_q8_0_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n%Q8_0_Unpacker::block_size() == 0);
Q8<nrc_y, block_q8_0> q8(info);
int nb = n/Q8_0_Unpacker::block_size();
if (nb%4 == 0) {
mul_mat_qX_q8_Helper<Q8_0_Unpacker, Sum4_Q8, AccumType0<nrc_y, true>, ScaleHelperQ_0, block_q8_0, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
} else {
mul_mat_qX_q8_Helper<Q8_0_Unpacker, Sum4_Q8, AccumType0<nrc_y, false>, ScaleHelperQ_0, block_q8_0, nrc_y>(
nb, vx, bx, info, q8.y, nrc_x
);
}
}
/*
moonll
add some structs for DequantizerIQ2XXS
SimpleBits
EvenSignHelper
*/
struct SimpleBits {
__m256i values[4];
};
struct EvenSignHelper {
#if defined HAVE_FANCY_SIMD
// #pragma message("Using AVX512VPOPCNTDQ in even sign helper")
union sbits_t {
__m128i vec;
__mmask32 mask[4];
};
IQK_ALWAYS_INLINE void sign_2_values(__m256i aux, __m256i * values) const {
aux = _mm256_and_si256(_mm256_srlv_epi32(aux, shifts), mask);
auto pcnt = _mm256_popcnt_epi32(aux);
sbits_t sbits;
sbits.vec = _mm256_cvtepi32_epi8(_mm256_or_si256(aux, _mm256_slli_epi32(_mm256_and_si256(pcnt, mone), 7)));
values[0] = _mm256_mask_sub_epi8(values[0], sbits.mask[0], _mm256_setzero_si256(), values[0]);
values[1] = _mm256_mask_sub_epi8(values[1], sbits.mask[1], _mm256_setzero_si256(), values[1]);
//auto sign_bits = _mm256_cvtepi32_epi8(_mm256_or_si256(aux, _mm256_slli_epi32(_mm256_and_si256(pcnt, mone), 7)));
//const __mmask32 * m32 = (const __mmask32 *)&sign_bits;
//values[0] = _mm256_mask_sub_epi8(values[0], m32[0], _mm256_setzero_si256(), values[0]);
//values[1] = _mm256_mask_sub_epi8(values[1], m32[1], _mm256_setzero_si256(), values[1]);
}
const __m256i shifts = _mm256_set_epi32(21, 14, 7, 0, 21, 14, 7, 0);
const __m256i mask = _mm256_set1_epi32(127);
const __m256i mone = _mm256_set1_epi32(1);
#else
inline void sign_value(uint32_t aux32, __m256i& value) const {
auto signs = _mm256_set_epi64x(keven_signs[(aux32 >> 21) & 127], keven_signs[(aux32 >> 14) & 127],
keven_signs[(aux32 >> 7) & 127], keven_signs[(aux32 >> 0) & 127]);
value = _mm256_sign_epi8(value, signs);
}
#endif
};
/*
moonll ad multiply_add for mul_mat_qX_K_q8_K_IQ_1
add func
get_scale_shuffle_8
get_scale_shuffle_16
set_scales_16
*/
inline __m256i get_scale_shuffle_8(int i) {
return _mm256_set1_epi16((2*i) | ((2*i+1) << 8));
}
inline void set_scales_8(const __m256i& all_scales, int j, __m256i * scales) {
scales[0] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_8(4*j+0));
scales[1] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_8(4*j+1));
scales[2] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_8(4*j+2));
scales[3] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_8(4*j+3));
}
inline __m256i get_scale_shuffle_16(int i) {
static const uint8_t k_shuffle[128] = {
0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3,
4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7, 6, 7,
8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,
12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13, 14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,
};
return _mm256_loadu_si256((const __m256i*)k_shuffle + i);
}
inline void set_scales_16(const __m256i& all_scales, __m256i * scales) {
scales[0] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_16(0));
scales[1] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_16(1));
scales[2] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_16(2));
scales[3] = _mm256_shuffle_epi8(all_scales, get_scale_shuffle_16(3));
}
template <typename Q8, typename Bits>
inline void multiply_add(const Bits& bits, const __m256i * scales, int j, int i, const Q8& q8, __m256i * sumi) {
if (j == 0) {
#ifdef HAVE_FANCY_SIMD
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
sumi[iy] = _mm256_dpwssd_epi32(_mm256_setzero_si256(), scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 0)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 1)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 2)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 3)));
}
#else
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 0)));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 1)));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 2)));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 3)));
sumi[iy] = _mm256_add_epi32(_mm256_add_epi32(p1, p3), _mm256_add_epi32(p2, p4));
}
#endif
} else {
#ifdef HAVE_FANCY_SIMD
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 4)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 5)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 6)));
sumi[iy] = _mm256_dpwssd_epi32(sumi[iy], scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 7)));
}
#else
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8.load_quants(iy, i, 4)));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8.load_quants(iy, i, 5)));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8.load_quants(iy, i, 6)));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8.load_quants(iy, i, 7)));
sumi[iy] = _mm256_add_epi32(sumi[iy], _mm256_add_epi32(p1, p3));
sumi[iy] = _mm256_add_epi32(sumi[iy], _mm256_add_epi32(p2, p4));
}
#endif
}
}
/*
moonll ad multiply_add_1 for mul_mat_qX_K_q8_K_IQ_1
add func
set_scales_8_iq
set_scales_16_iq
add MUL_MAT
mul_mat_qX_K_q8_K_IQ_1
mul_mat_qX_K_q8_K_IQ_N
mul_mat_qX_K_q8_K_IQ
*/
template <typename Bits>
inline void multiply_add_1(int j, const Bits& bits, const __m256i * scales, const __m256i * q8, __m256i * sumi) {
if (j == 0) {
#ifdef HAVE_FANCY_SIMD
auto p1 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[0], q8[0]);
auto p2 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[1], q8[1]);
auto p3 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[2], q8[2]);
auto p4 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[3], q8[3]);
sumi[0] = _mm256_dpwssd_epi32(_mm256_setzero_si256(), scales[0], _mm256_packs_epi32(p1, p2));
sumi[1] = _mm256_dpwssd_epi32(_mm256_setzero_si256(), scales[1], _mm256_packs_epi32(p3, p4));
#else
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8[0]));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8[1]));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8[2]));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8[3]));
sumi[0] = _mm256_add_epi32(p1, p3);
sumi[1] = _mm256_add_epi32(p2, p4);
#endif
} else {
#ifdef HAVE_FANCY_SIMD
auto p1 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[0], q8[0]);
auto p2 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[1], q8[1]);
auto p3 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[2], q8[2]);
auto p4 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), bits.values[3], q8[3]);
sumi[0] = _mm256_dpwssd_epi32(sumi[0], scales[0], _mm256_packs_epi32(p1, p2));
sumi[1] = _mm256_dpwssd_epi32(sumi[1], scales[1], _mm256_packs_epi32(p3, p4));
#else
const __m256i p1 = _mm256_madd_epi16(scales[0], _mm256_maddubs_epi16(bits.values[0], q8[0]));
const __m256i p2 = _mm256_madd_epi16(scales[1], _mm256_maddubs_epi16(bits.values[1], q8[1]));
const __m256i p3 = _mm256_madd_epi16(scales[2], _mm256_maddubs_epi16(bits.values[2], q8[2]));
const __m256i p4 = _mm256_madd_epi16(scales[3], _mm256_maddubs_epi16(bits.values[3], q8[3]));
sumi[0] = _mm256_add_epi32(sumi[0], _mm256_add_epi32(p1, p3));
sumi[1] = _mm256_add_epi32(sumi[1], _mm256_add_epi32(p2, p4));
#endif
}
}
inline void set_scales_8_iq(int j, const __m256i& all_scales, __m256i * scales) {
//#ifdef HAVE_FANCY_SIMD
auto shuffle = j == 0 ? _mm256_set_epi64x(0x0302030203020302, 0x0100010001000100, 0x0302030203020302, 0x0100010001000100)
: _mm256_set_epi64x(0x0b0a0b0a0b0a0b0a, 0x0908090809080908, 0x0b0a0b0a0b0a0b0a, 0x0908090809080908);
scales[0] = _mm256_shuffle_epi8(all_scales, shuffle);
scales[1] = _mm256_shuffle_epi8(all_scales, _mm256_add_epi8(shuffle, _mm256_set1_epi8(4)));
//#else
// set_scales_8(all_scales, j, scales);
//#endif
}
inline void set_scales_16_iq(const __m256i& all_scales, __m256i * scales) {
#ifdef HAVE_FANCY_SIMD
auto shuffle = _mm256_set_epi64x(0x0706070607060706, 0x0302030203020302, 0x0504050405040504, 0x0100010001000100);
scales[0] = _mm256_shuffle_epi8(all_scales, shuffle);
scales[1] = _mm256_shuffle_epi8(all_scales, _mm256_add_epi8(shuffle, _mm256_set1_epi8(8)));
#else
set_scales_16(all_scales, scales);
#endif
}
template <typename Dequantizer>
static void mul_mat_qX_K_q8_K_IQ_1(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
const int nb = n / QK_K;
Q8<1> q8(info);
Dequantizer deq(vx, bx);
__m256i scales[2];
__m256i q8_quants[4];
for (int ix = 0; ix < nrc_x; ++ix) {
__m256 accd = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
__m256i sumi[2], all_scales[Dequantizer::num_blocks/8];
deq.new_block(i, all_scales);
for (int j = 0; j < QK_K/128; ++j) {
deq.prepare(i, j, q8, q8_quants);
if constexpr (Dequantizer::num_blocks == 8) {
set_scales_8_iq(j, all_scales[0], scales);
} else {
set_scales_16_iq(all_scales[j], scales);
}
multiply_add_1(j, deq.bits, scales, q8_quants, sumi);
}
accd = _mm256_fmadd_ps(_mm256_set1_ps(deq.d*q8.scale(0, i)), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi[0], sumi[1])), accd);
}
info.store(ix, 0, hsum_float_8(accd));
}
}
template <typename Dequantizer, int nrc_y>
static void mul_mat_qX_K_q8_K_IQ_N(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
const int nb = n / QK_K;
Q8<nrc_y> q8(info);
Dequantizer deq(vx, bx);
__m256i scales[4];
__m256 accd[nrc_y];
for (int ix = 0; ix < nrc_x; ++ix) {
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm256_setzero_ps();
deq.new_row(ix);
for (int i = 0; i < nb; ++i) {
__m256i sumi[nrc_y], all_scales[Dequantizer::num_blocks/8];
//for (int iy = 0; iy < nrc_y; ++iy) sumi[iy] = _mm256_setzero_si256();
__m256i mins;
float dmin = deq.new_block(i, all_scales, mins);
for (int iy = 0; iy < nrc_y; ++iy) {
auto bsums = q8.load_bsums(iy, i);
auto prod = _mm256_madd_epi16(mins, bsums);
accd[iy] = _mm256_fmadd_ps(_mm256_set1_ps(dmin*q8.scale(iy, i)), _mm256_cvtepi32_ps(prod), accd[iy]);
}
for (int j = 0; j < QK_K/128; ++j) {
deq.prepare(i, j);
if constexpr (Dequantizer::num_blocks == 8) {
set_scales_8(all_scales[0], j, scales);
} else {
set_scales_16(all_scales[j], scales);
}
//multiply_add_iq(deq.bits, scales, j, i, q8, sumi);
multiply_add(deq.bits, scales, j, i, q8, sumi);
}
for (int iy = 0; iy < nrc_y; ++iy) {
const __m256 vd = _mm256_set1_ps(deq.d*q8.scale(iy, i));
accd[iy] = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(sumi[iy]), accd[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, hsum_float_8(accd[iy]));
}
}
}
template <typename Dequantizer, int nrc_y>
static void mul_mat_qX_K_q8_K_IQ(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
#ifdef HAVE_FANCY_SIMD
if constexpr (nrc_y == 1) {
mul_mat_qX_K_q8_K_IQ_1<Dequantizer>(n, vx, bx, info, nrc_x);
} else {
mul_mat_qX_K_q8_K_IQ_N<Dequantizer, nrc_y>(n, vx, bx, info, nrc_x);
}
#else
mul_mat_qX_K_q8_K_IQ_N<Dequantizer, nrc_y>(n, vx, bx, info, nrc_x);
#endif
}
/*
moonll iq1s
core func for iq1s mul_mat_iq1_s_q8_K
*/
template <int nrc_y>
static void mul_mat_iq1_s_q8_K(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
GGML_ASSERT(n%QK_K == 0);
Q8<nrc_y, block_q8_K> q8(info);
__m256i qx[8];
__m256i scales[4];
__m256 acc[nrc_y] = {};
auto delta_mask = _mm_set1_epi16(-32768); // to avoid stupid overflow warnings when using 0x8000
__m256i shuffle0 = _mm256_set_epi64x(0x0302030203020302, 0x0100010001000100, 0x0302030203020302, 0x0100010001000100);
for (int ix = 0; ix < nrc_x; ++ix) {
auto iq1s = (const block_iq1_s *)((const char *)vx + ix*bx);
for (int ibl = 0; ibl < n/QK_K; ++ibl) {
float d = GGML_FP16_TO_FP32(iq1s[ibl].d);
auto qhb = _mm_loadu_si128((const __m128i *)iq1s[ibl].qh);
auto scales128 = _mm_and_si128(_mm_srli_epi16(qhb, 12), _mm_set1_epi16(7));
scales128 = _mm_add_epi16(_mm_slli_epi16(scales128, 1), _mm_set1_epi16(1));
#ifdef HAVE_FANCY_SIMD
auto mask = _mm_cmpeq_epi16_mask(_mm_and_si128(qhb, delta_mask), delta_mask);
auto deltas128 = _mm_mask_blend_epi16(mask, _mm_set1_epi16(-7), _mm_set1_epi16(-9));
#else
auto mask = _mm_cmpeq_epi16(_mm_and_si128(qhb, delta_mask), delta_mask);
auto deltas128 = _mm_or_si128(_mm_and_si128(mask, _mm_set1_epi16(-9)), _mm_andnot_si128(mask, _mm_set1_epi16(-7)));
#endif
deltas128 = _mm_mullo_epi16(scales128, deltas128);
scales128 = _mm_slli_epi16(scales128, 3);
auto deltas_l = _mm_unpacklo_epi16(deltas128, deltas128);
auto deltas_h = _mm_unpackhi_epi16(deltas128, deltas128);
auto deltas = MM256_SET_M128I(deltas_h, deltas_l); // blocks 0,0, 1,1, 2,2, ..., 7,7
auto all_scales = MM256_SET_M128I(scales128, scales128);
auto shuffle = shuffle0;
for (int ib64 = 0; ib64 < QK_K/64; ++ib64) {
scales[ib64] = _mm256_shuffle_epi8(all_scales, shuffle);
shuffle = _mm256_add_epi8(shuffle, _mm256_set1_epi8(4));
}
const uint8_t * qs = iq1s[ibl].qs;
const uint16_t * qh = iq1s[ibl].qh;
for (int ib = 0; ib < QK_K/32; ib += 2) {
qx[ib+0] = _mm256_set_epi64x(iq1s_grid_us[qs[3] | ((qh[ib+0] >> 1) & 0x700)], iq1s_grid_us[qs[2] | ((qh[ib+0] << 2) & 0x700)],
iq1s_grid_us[qs[1] | ((qh[ib+0] << 5) & 0x700)], iq1s_grid_us[qs[0] | ((qh[ib+0] << 8) & 0x700)]);
qx[ib+1] = _mm256_set_epi64x(iq1s_grid_us[qs[7] | ((qh[ib+1] >> 1) & 0x700)], iq1s_grid_us[qs[6] | ((qh[ib+1] << 2) & 0x700)],
iq1s_grid_us[qs[5] | ((qh[ib+1] << 5) & 0x700)], iq1s_grid_us[qs[4] | ((qh[ib+1] << 8) & 0x700)]);
qs += 8;
}
for (int iy = 0; iy < nrc_y; ++iy) {
auto bsums = q8.load_bsums(iy, ibl);
auto sumi = _mm256_setzero_si256();
for (int ib64 = 0; ib64 < QK_K/64; ++ib64) {
auto qy1 = q8.load_quants(iy, ibl, 2*ib64+0);
auto qy2 = q8.load_quants(iy, ibl, 2*ib64+1);
#ifdef HAVE_FANCY_SIMD
auto dot1 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), qx[2*ib64+0], qy1);
auto dot2 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), qx[2*ib64+1], qy2);
sumi = _mm256_dpwssd_epi32(sumi, scales[ib64], _mm256_packs_epi32(dot1, dot2));
#else
auto dot1 = _mm256_maddubs_epi16(qx[2*ib64+0], qy1);
auto dot2 = _mm256_maddubs_epi16(qx[2*ib64+1], qy2);
auto dot = _mm256_add_epi16(_mm256_unpacklo_epi64(dot1, dot2), _mm256_unpackhi_epi64(dot1, dot2));
sumi = _mm256_add_epi32(sumi, _mm256_madd_epi16(scales[ib64], dot));
#endif
}
#ifdef HAVE_FANCY_SIMD
sumi = _mm256_dpwssd_epi32(sumi, bsums, deltas);
#else
sumi = _mm256_add_epi32(sumi, _mm256_madd_epi16(bsums, deltas));
#endif
acc[iy] = _mm256_fmadd_ps(_mm256_set1_ps(d*q8.scale(iy, ibl)), _mm256_cvtepi32_ps(sumi), acc[iy]);
}
}
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, 0.125f*hsum_float_8(acc[iy]));
acc[iy] = _mm256_setzero_ps();
}
}
}
/*
moonll iq1s
DequantizerIQ2XXS
DequantizerIQ2XXS is important Dequantizer for DequantizerIQ1_S
*/
struct DequantizerIQ2XXS final : public BaseDequantizer<block_iq2_xxs> {
DequantizerIQ2XXS(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
constexpr static int num_blocks = 8;
union Data {
__m256i vec;
uint32_t val[8];
};
inline __m128i load_scales(int i) {
d = 0.125f * GGML_FP16_TO_FP32(x[i].d);
const uint16_t * a16 = (const uint16_t *)x[i].qs;
auto scales = _mm_srli_epi16(_mm_set_epi16(a16[31], a16[27], a16[23], a16[19], a16[15], a16[11], a16[7], a16[3]), 12);
return _mm_or_si128(_mm_slli_epi16(scales, 1), _mm_set1_epi16(1));
}
inline void new_block(int i, __m256i * scales) {
auto sc16 = load_scales(i);
scales[0] = MM256_SET_M128I(sc16, sc16);
}
inline float new_block(int i, __m256i * scales, __m256i& mins) {
auto sc16 = load_scales(i);
mins = scb.shuffle(sc16);
scales[0] = MM256_SET_M128I(sc16, sc16);
return -d*minv;
}
inline static void make4(const uint32_t * aux32, __m256i * values) {
const uint8_t * aux8 = (const uint8_t *)aux32;
values[0] = _mm256_set_epi64x(iq2xxs_grid[aux8[ 3]], iq2xxs_grid[aux8[ 2]], iq2xxs_grid[aux8[ 1]], iq2xxs_grid[aux8[ 0]]);
values[1] = _mm256_set_epi64x(iq2xxs_grid[aux8[11]], iq2xxs_grid[aux8[10]], iq2xxs_grid[aux8[ 9]], iq2xxs_grid[aux8[ 8]]);
values[2] = _mm256_set_epi64x(iq2xxs_grid[aux8[19]], iq2xxs_grid[aux8[18]], iq2xxs_grid[aux8[17]], iq2xxs_grid[aux8[16]]);
values[3] = _mm256_set_epi64x(iq2xxs_grid[aux8[27]], iq2xxs_grid[aux8[26]], iq2xxs_grid[aux8[25]], iq2xxs_grid[aux8[24]]);
}
IQK_ALWAYS_INLINE void sign_values(const uint32_t * aux32, __m256i * values) const {
#ifdef HAVE_FANCY_SIMD
esh.sign_2_values(MM256_SET_M128I(_mm_set1_epi32(aux32[3]), _mm_set1_epi32(aux32[1])), values+0);
esh.sign_2_values(MM256_SET_M128I(_mm_set1_epi32(aux32[7]), _mm_set1_epi32(aux32[5])), values+2);
#else
esh.sign_value(aux32[1], values[0]);
esh.sign_value(aux32[3], values[1]);
esh.sign_value(aux32[5], values[2]);
esh.sign_value(aux32[7], values[3]);
#endif
}
inline void make4_signed(const uint32_t * aux32, const __m256i& min_value, __m256i * values) const {
make4(aux32, values);
sign_values(aux32, values);
for (int k = 0; k < 4; ++k) values[k] = _mm256_add_epi8(values[k], min_value);
}
inline void make4(const uint32_t * aux32, __m256i * values, __m256i * q8) const {
make4(aux32, values);
sign_values(aux32, q8);
}
inline void prepare(int i, int j) {
Data data; data.vec = _mm256_loadu_si256((const __m256i *)x[i].qs + j);
make4_signed(data.val, min_value, bits.values);
}
inline void prepare(int i, int j, const Q8<1>& q8, __m256i * q8_quants) {
for (int k = 0; k < 4; ++k) q8_quants[k] = q8.load_quants(0, i, 4*j+k);
Data data; data.vec = _mm256_loadu_si256((const __m256i *)x[i].qs + j);
make4(data.val, bits.values, q8_quants);
}
constexpr static int minv = 43;
SimpleBits bits;
Scales8KBase scb;
EvenSignHelper esh;
const __m256i min_value = _mm256_set1_epi8(minv);
const __m256i shuffle = _mm256_set_epi32(7, 5, 3, 1, 7, 5, 3, 1);
};
/*
moonll
add Q8_0_Unpacker && DequantizerIQ2XXS support
add func mul_mat_qX_K_q8_K_IQ
*/
template <typename Dequantizer> void MulMat::set_functions(MulMat& m) {
if constexpr (std::is_same_v<Dequantizer, Q4_0_Unpacker> || std::is_same_v<Dequantizer, Q5_0_Unpacker> ||
std::is_same_v<Dequantizer, Q8_0_Unpacker>) {
m.funcs[0] = mul_mat_qX_0_q8_0_T<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_0_q8_0_T<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_0_q8_0_T<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_0_q8_0_T<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_0_q8_0_T<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_0_q8_0_T<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_0_q8_0_T<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_0_q8_0_T<Dequantizer, 8>;
}
else if constexpr (std::is_same_v<Dequantizer, Q4_1_Unpacker> || std::is_same_v<Dequantizer, Q5_1_Unpacker>|| std::is_same_v<Dequantizer, Q8_0_1_Unpacker>) {
m.funcs[0] = mul_mat_qX_1_q8_1_T<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_1_q8_1_T<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_1_q8_1_T<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_1_q8_1_T<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_1_q8_1_T<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_1_q8_1_T<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_1_q8_1_T<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_1_q8_1_T<Dequantizer, 8>;
}
else if constexpr (std::is_same_v<Dequantizer, DequantizerIQ2XXS>) {
m.funcs[0] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_K_q8_K_IQ<Dequantizer, 8>;
}
else {
#ifdef HAVE_FANCY_SIMD
if constexpr (std::is_same_v<Dequantizer, DequantizerIQ4XS>) {
m.funcs[0] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 1>;
m.funcs[1] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 2>;
m.funcs[2] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 3>;
m.funcs[3] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 4>;
m.funcs[4] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 5>;
m.funcs[5] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 6>;
m.funcs[6] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 7>;
m.funcs[7] = mul_mat_iqX_k_q8_K_AVX512<Dequantizer, 8>;
} else {
m.funcs[0] = mul_mat_qX_K_q8_K_AVX512_1<Dequantizer>;
m.funcs[1] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_K_q8_K_AVX512<Dequantizer, 8>;
}
#else
if constexpr (std::is_same_v<Dequantizer, DequantizerQ2K> ||
std::is_same_v<Dequantizer, DequantizerQ3K> ||
std::is_same_v<Dequantizer, DequantizerQ6K>) {
m.funcs[0] = mul_mat_qY_K_q8_K_T<Dequantizer, 1>;
m.funcs[1] = mul_mat_qY_K_q8_K_T<Dequantizer, 2>;
m.funcs[2] = mul_mat_qY_K_q8_K_T<Dequantizer, 3>;
m.funcs[3] = mul_mat_qY_K_q8_K_T<Dequantizer, 4>;
m.funcs[4] = mul_mat_qY_K_q8_K_T<Dequantizer, 5>;
m.funcs[5] = mul_mat_qY_K_q8_K_T<Dequantizer, 6>;
m.funcs[6] = mul_mat_qY_K_q8_K_T<Dequantizer, 7>;
m.funcs[7] = mul_mat_qY_K_q8_K_T<Dequantizer, 8>;
} else {
m.funcs[0] = mul_mat_qX_K_q8_K_T<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_K_q8_K_T<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_K_q8_K_T<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_K_q8_K_T<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_K_q8_K_T<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_K_q8_K_T<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_K_q8_K_T<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_K_q8_K_T<Dequantizer, 8>;
}
#endif
}
}
struct QFBase {
#ifdef __AVX512F__
constexpr static int k_step = 16;
using Data = __m512;
using Acc = __m512;
static inline Data load(const ggml_half * x) { return _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)x)); }
static inline Data load(const float * x) { return _mm512_loadu_ps(x); }
static inline Data load(const ggml_bf16_t * x) {
return _mm512_castsi512_ps(_mm512_slli_epi32(_mm512_cvtepu16_epi32(_mm256_loadu_si256((const __m256i*)x)), 16));
}
static inline Acc acc(Acc prev, const Data& y, const Data& x) {
return _mm512_fmadd_ps(y, x, prev);
}
static inline Acc acc_first(const Data& y, const Data& x) {
return _mm512_mul_ps(y, x);
}
static inline Acc add(Acc x, Acc y) { return _mm512_add_ps(x, y); }
static inline float hsum(Acc acc) {
return _mm512_reduce_add_ps(acc);
}
template <typename Float>
static inline Data load4Floats(const Float * x) {
return _mm512_insertf32x4(_mm512_setzero_ps(), load128(x), 0);
}
static inline Acc acc_r4(Acc acc, const Data * xv, const Data& yv) {
acc = _mm512_fmadd_ps(xv[0], _mm512_shuffle_ps(yv, yv, 0x00), acc);
acc = _mm512_fmadd_ps(xv[1], _mm512_shuffle_ps(yv, yv, 0x55), acc);
acc = _mm512_fmadd_ps(xv[2], _mm512_shuffle_ps(yv, yv, 0xaa), acc);
acc = _mm512_fmadd_ps(xv[3], _mm512_shuffle_ps(yv, yv, 0xff), acc);
return acc;
}
static inline Acc acc_r4_first(const Data * xv, const Data& yv) {
auto acc = _mm512_mul_ps(xv[0], _mm512_shuffle_ps(yv, yv, 0x00));
acc = _mm512_fmadd_ps(xv[1], _mm512_shuffle_ps(yv, yv, 0x55), acc);
acc = _mm512_fmadd_ps(xv[2], _mm512_shuffle_ps(yv, yv, 0xaa), acc);
acc = _mm512_fmadd_ps(xv[3], _mm512_shuffle_ps(yv, yv, 0xff), acc);
return acc;
}
static inline __m128 hsum_r4(Acc acc) {
auto sum1 = _mm_add_ps(_mm512_extractf32x4_ps(acc, 0), _mm512_extractf32x4_ps(acc, 1));
auto sum2 = _mm_add_ps(_mm512_extractf32x4_ps(acc, 2), _mm512_extractf32x4_ps(acc, 3));
return _mm_add_ps(sum1, sum2);
}
#else
constexpr static int k_step = 8;
using Data = __m256;
using Acc = __m256;
static inline Data load(const ggml_half * x) { return _mm256_cvtph_ps(_mm_loadu_si128((const __m128i *)x)); }
static inline Data load(const float * x) { return _mm256_loadu_ps(x); }
static inline Data load(const ggml_bf16_t * x) {
return _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_cvtepu16_epi32(_mm_loadu_si128((const __m128i*)x)), 16));
}
static inline Acc acc(Acc prev, const Data& y, const Data& x) {
return _mm256_fmadd_ps(y, x, prev);
}
static inline Acc add(Acc x, Acc y) { return _mm256_add_ps(x, y); }
static inline Acc acc_r4(Acc acc, const Data * xv, const Data& yv) {
acc = _mm256_fmadd_ps(xv[0], _mm256_shuffle_ps(yv, yv, 0x00), acc);
acc = _mm256_fmadd_ps(xv[1], _mm256_shuffle_ps(yv, yv, 0x55), acc);
acc = _mm256_fmadd_ps(xv[2], _mm256_shuffle_ps(yv, yv, 0xaa), acc);
acc = _mm256_fmadd_ps(xv[3], _mm256_shuffle_ps(yv, yv, 0xff), acc);
return acc;
}
static inline Acc acc_r4_first(const Data * xv, const Data& yv) {
auto acc = _mm256_mul_ps(xv[0], _mm256_shuffle_ps(yv, yv, 0x00));
acc = _mm256_fmadd_ps(xv[1], _mm256_shuffle_ps(yv, yv, 0x55), acc);
acc = _mm256_fmadd_ps(xv[2], _mm256_shuffle_ps(yv, yv, 0xaa), acc);
acc = _mm256_fmadd_ps(xv[3], _mm256_shuffle_ps(yv, yv, 0xff), acc);
return acc;
}
static inline Acc acc_first(const Data& y, const Data& x) {
return _mm256_mul_ps(y, x);
}
static inline float hsum(Acc acc) {
return hsum_float_8(acc);
}
static inline __m128 hsum_r4(Acc acc) {
return _mm_add_ps(_mm256_castps256_ps128(acc), _mm256_extractf128_ps(acc, 1));
}
template <typename Float>
static inline Data load4Floats(const Float * x) {
return _mm256_insertf128_ps(_mm256_setzero_ps(), load128(x), 0);
}
#endif
static inline __m128 load128(const ggml_half * x) { return _mm_cvtph_ps(_mm_loadl_epi64((const __m128i *)x)); }
static inline __m128 load128(const float * x) { return _mm_loadu_ps(x); }
static inline __m128 load128(const ggml_bf16_t * x) {
return _mm_castsi128_ps(_mm_slli_epi32(_mm_cvtepu16_epi32(_mm_loadl_epi64((const __m128i*)x)), 16));
}
};
template <typename Float, int nrc_in> struct QFT final : public QFBase {
constexpr static int nrc = nrc_in;
QFT(const DataInfo& info) {
for (int iy = 0; iy < nrc; ++iy) y[iy] = (const Float *)info.src1_row(iy);
}
QFT(const char * cx, size_t bx) {
for (int iy = 0; iy < nrc; ++iy) y[iy] = (const Float *)(cx + iy*bx);
}
IQK_ALWAYS_INLINE Data load1(int iy, int i) const { return load(y[iy] + k_step*i); }
IQK_ALWAYS_INLINE Data load_tail(int iy, int i) const { return load4Floats(y[iy] + 4*i); }
IQK_ALWAYS_INLINE void load_r4(int ix, int i, Data * xv) const {
xv[0] = load1(ix+0, i);
xv[1] = load1(ix+1, i);
xv[2] = load1(ix+2, i);
xv[3] = load1(ix+3, i);
#ifdef __AVX512F__
auto t0 = _mm512_unpacklo_ps(xv[0], xv[1]);
auto t1 = _mm512_unpacklo_ps(xv[2], xv[3]);
auto t2 = _mm512_unpackhi_ps(xv[0], xv[1]);
auto t3 = _mm512_unpackhi_ps(xv[2], xv[3]);
xv[0] = _mm512_castpd_ps(_mm512_unpacklo_pd(_mm512_castps_pd(t0), _mm512_castps_pd(t1)));
xv[1] = _mm512_castpd_ps(_mm512_unpackhi_pd(_mm512_castps_pd(t0), _mm512_castps_pd(t1)));
xv[2] = _mm512_castpd_ps(_mm512_unpacklo_pd(_mm512_castps_pd(t2), _mm512_castps_pd(t3)));
xv[3] = _mm512_castpd_ps(_mm512_unpackhi_pd(_mm512_castps_pd(t2), _mm512_castps_pd(t3)));
#else
auto t0 = _mm256_unpacklo_ps(xv[0], xv[1]);
auto t1 = _mm256_unpacklo_ps(xv[2], xv[3]);
auto t2 = _mm256_unpackhi_ps(xv[0], xv[1]);
auto t3 = _mm256_unpackhi_ps(xv[2], xv[3]);
xv[0] = _mm256_castpd_ps(_mm256_unpacklo_pd(_mm256_castps_pd(t0), _mm256_castps_pd(t1)));
xv[1] = _mm256_castpd_ps(_mm256_unpackhi_pd(_mm256_castps_pd(t0), _mm256_castps_pd(t1)));
xv[2] = _mm256_castpd_ps(_mm256_unpacklo_pd(_mm256_castps_pd(t2), _mm256_castps_pd(t3)));
xv[3] = _mm256_castpd_ps(_mm256_unpackhi_pd(_mm256_castps_pd(t2), _mm256_castps_pd(t3)));
#endif
}
const Float * y[nrc];
};
template <typename Qy, typename Qx>
IQK_NOINLINE void mul_mat_Qx_Qy_MxN(int n, const char * cx, size_t bx, int ix0, const DataInfo& info) {
int nb = n/QFBase::k_step;
int nb4 = n/4;
Qy y(info);
Qx x(cx + ix0*bx, bx);
QFBase::Data xv[Qx::nrc];
QFBase::Acc acc[Qx::nrc*Qy::nrc];
auto yv = y.load1(0, 0);
for (int ix = 0; ix < Qx::nrc; ++ix) {
xv[ix] = x.load1(ix, 0);
acc[ix] = QFBase::acc_first(yv, xv[ix]);
}
for (int iy = 1; iy < Qy::nrc; ++iy) {
yv = y.load1(iy, 0);
for (int ix = 0; ix < Qx::nrc; ++ix) acc[Qx::nrc*iy + ix] = QFBase::acc_first(yv, xv[ix]);
}
for (int i = 1; i < nb; ++i) {
yv = y.load1(0, i);
for (int ix = 0; ix < Qx::nrc; ++ix) {
xv[ix] = x.load1(ix, i);
acc[ix] = QFBase::acc(acc[ix], yv, xv[ix]);
}
for (int iy = 1; iy < Qy::nrc; ++iy) {
yv = y.load1(iy, i);
for (int ix = 0; ix < Qx::nrc; ++ix) acc[Qx::nrc*iy + ix] = QFBase::acc(acc[Qx::nrc*iy + ix], yv, xv[ix]);
}
}
for (int i = (QFBase::k_step/4)*nb; i < nb4; ++i) {
yv = y.load_tail(0, i);
for (int ix = 0; ix < Qx::nrc; ++ix) {
xv[ix] = x.load_tail(ix, i);
acc[ix] = QFBase::acc(acc[ix], yv, xv[ix]);
}
for (int iy = 1; iy < Qy::nrc; ++iy) {
yv = y.load_tail(iy, i);
for (int ix = 0; ix < Qx::nrc; ++ix) acc[Qx::nrc*iy + ix] = QFBase::acc(acc[Qx::nrc*iy + ix], yv, xv[ix]);
}
}
for (int iy = 0; iy < Qy::nrc; ++iy) for (int ix = 0; ix < Qx::nrc; ++ix) info.store(ix0+ix, iy, QFBase::hsum(acc[Qx::nrc*iy+ix]));
}
// This will handle any of f16 x f32, f32 x f16, f16 x f16, f32 x f32, with computations done
// in f32 (i.e., f16 is first converted to f32). It is easy to extend to computations done in
// f16, but I don't have a CPU capable of f16 vector arithmetic, so not doing it for now.
template <int nrc_y, typename FloatX, typename FloatY>
void mul_mat_fX_fY_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
const char * cx = (const char *)vx;
// TBD if we want this
//if constexpr (nrc_y == 1) {
// constexpr int k_nx = 2;
// for (int ix = 0; ix < nrc_x/k_nx; ++ix) {
// mul_mat_Qx_Qy_Mx1<QFT<FloatY, nrc_y>, QFT<FloatX, k_nx>>(n, cx, bx, ix*k_nx, info);
// }
// if (int lastx = k_nx*(nrc_x/k_nx); lastx < nrc_x) {
// int nx = nrc_x - lastx;
// switch (nx) {
// case 1: mul_mat_Qx_Qy_Mx1<QFT<FloatY, nrc_y>, QFT<FloatX, 1>>(n, cx, bx, lastx, info); break;
// case 2: mul_mat_Qx_Qy_Mx1<QFT<FloatY, nrc_y>, QFT<FloatX, 2>>(n, cx, bx, lastx, info); break;
// case 3: mul_mat_Qx_Qy_Mx1<QFT<FloatY, nrc_y>, QFT<FloatX, 3>>(n, cx, bx, lastx, info); break;
// }
// //mul_mat_Qx_Qy_Mx1<QFT<FloatY, nrc_y>, QFT<FloatX, 1>>(n, cx, bx, lastx, info);
// }
// return;
//}
#ifdef __AVX512F__
constexpr int k_nx = 5;
#else
constexpr int k_nx = nrc_y == 1 ? 4 : 2;
#endif
for (int ix = 0; ix < nrc_x/k_nx; ++ix) {
mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, k_nx>>(n, cx, bx, ix*k_nx, info);
}
int last_x = k_nx*(nrc_x/k_nx);
if (last_x == nrc_x) return;
int nx = nrc_x - last_x;
#ifdef __AVX512F__
switch (nx) {
case 1: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 1>>(n, cx, bx, last_x, info); break;
case 2: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 2>>(n, cx, bx, last_x, info); break;
case 3: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 3>>(n, cx, bx, last_x, info); break;
case 4: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 4>>(n, cx, bx, last_x, info); break;
}
#else
if constexpr (nrc_y == 1) {
switch (nx) {
case 1: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 1>>(n, cx, bx, last_x, info); break;
case 2: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 2>>(n, cx, bx, last_x, info); break;
case 3: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 3>>(n, cx, bx, last_x, info); break;
}
} else {
switch (nx) {
case 1: mul_mat_Qx_Qy_MxN<QFT<FloatY, nrc_y>, QFT<FloatX, 1>>(n, cx, bx, last_x, info); break;
}
}
#endif
}
template <typename FloatX, typename FloatY>
void set_mul_mat_f(MulMat& mm) {
for (auto& f : mm.funcs) f = nullptr;
mm.funcs[0] = mul_mat_fX_fY_T<1, FloatX, FloatY>;
mm.funcs[1] = mul_mat_fX_fY_T<2, FloatX, FloatY>;
mm.funcs[2] = mul_mat_fX_fY_T<3, FloatX, FloatY>;
mm.funcs[3] = mul_mat_fX_fY_T<4, FloatX, FloatY>;
mm.funcs[4] = mul_mat_fX_fY_T<5, FloatX, FloatY>;
#ifndef __AVX512F__
mm.funcs[5] = mul_mat_fX_fY_T<6, FloatX, FloatY>;
#endif
}
/*
moonll
add typeb TO compare return not expected type of weight matrix
add IQ2XSS
add IQ1_S
add GGML_TYPE_IQ4_XS
*/
bool MulMat::set_mul_mat(int typeA, int typeB, int ne00, MulMat& mm, int Ny) {
(void)Ny;
auto expected_typeB = GGML_TYPE_Q8_K;
switch (typeA) {
case GGML_TYPE_Q2_K:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerQ2K>(mm);
break;
case GGML_TYPE_Q3_K:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerQ3K>(mm);
break;
case GGML_TYPE_Q4_K:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerQ4K>(mm);
break;
case GGML_TYPE_Q5_K:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerQ5K>(mm);
break;
case GGML_TYPE_Q6_K:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerQ6K>(mm);
break;
case GGML_TYPE_IQ4_XS:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerIQ4XS>(mm);
break;
case GGML_TYPE_IQ2_XXS:
assert (ne00 % QK_K == 0);
MulMat::set_functions<DequantizerIQ2XXS>(mm);
break;
case GGML_TYPE_Q4_0:
assert (ne00 % QK4_0 == 0);
MulMat::set_functions<Q4_0_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_0;
break;
case GGML_TYPE_Q4_1:
assert (ne00 % QK4_1 == 0);
MulMat::set_functions<Q4_1_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_1_X4;
break;
case GGML_TYPE_Q5_0:
assert (ne00 % QK5_0 == 0);
MulMat::set_functions<Q5_0_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_0;
break;
case GGML_TYPE_Q5_1:
assert (ne00 % QK5_1 == 0);
MulMat::set_functions<Q5_1_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_1_X4;
break;
case GGML_TYPE_Q8_0:
assert (ne00 % QK8_0 == 0);
#ifdef HAVE_FANCY_SIMD
MulMat::set_functions<Q8_0_1_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_1_X4;
#else
MulMat::set_functions<Q8_0_Unpacker>(mm);
expected_typeB = GGML_TYPE_Q8_0_X4;
#endif
break;
case GGML_TYPE_IQ1_S:
mm.funcs[0] = mul_mat_iq1_s_q8_K<1>;
mm.funcs[1] = mul_mat_iq1_s_q8_K<2>;
mm.funcs[2] = mul_mat_iq1_s_q8_K<3>;
mm.funcs[3] = mul_mat_iq1_s_q8_K<4>;
mm.funcs[4] = mul_mat_iq1_s_q8_K<5>;
mm.funcs[5] = mul_mat_iq1_s_q8_K<6>;
mm.funcs[6] = mul_mat_iq1_s_q8_K<7>;
mm.funcs[7] = mul_mat_iq1_s_q8_K<8>;
#ifdef HAVE_FANCY_SIMD
mm.func16 = mul_mat_iq1_s_q8_K<16>;
#endif
// row_size_q8 = ggml_row_size(GGML_TYPE_Q8_K, ne00);
expected_typeB = GGML_TYPE_Q8_K;
break;
default:
{
printf("case:%d",typeA);
return false;
}
}
return ggml_type(typeB) == expected_typeB;
}
} // namespace
/*
iq1_s is not support for arm
*/
#else // __aarch64__
namespace {
template <int nrc, typename block_q8 = block_q8_K> struct Q8 {
constexpr static int nrc_y = nrc;
Q8(const DataInfo& info) {
for (int iy = 0; iy < nrc_y; ++iy) y[iy] = (const block_q8 *)info.src1_row(iy);
}
inline int8x16_t load_quants_16(int iy, int i, int j) const { return vld1q_s8(y[iy][i].qs + 16*j); }
inline int8x16x2_t load_quants(int iy, int i, int j) const { return vld1q_s8_x2(y[iy][i].qs + 32*j); }
inline int8x16x4_t load_quants_64(int iy, int i, int j) const { return vld1q_s8_x4(y[iy][i].qs + 64*j); }
inline int16x8x2_t load_bsums(int iy, int i) const { return vld1q_s16_x2(y[iy][i].bsums); }
inline int16x8_t load_bsums8(int iy, int i) const {
auto q8s = vld1q_s16_x2(y[iy][i].bsums);
return vpaddq_s16(q8s.val[0], q8s.val[1]);
}
inline float scale(int iy, int i) const { return y[iy][i].d; }
const block_q8 * y[nrc_y];
};
template <int nrc_y, typename Dequantizer>
IQK_NOINLINE void mul_mat_qX_K_q8_K_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y, block_q8_K> q8(info);
Dequantizer deq(vx, bx, nrc_y);
for (int ix = 0; ix < nrc_x; ++ix) {
deq.new_row(ix);
float32x4_t acc[nrc_y];
for (int iy = 0; iy < nrc_y; ++iy) acc[iy] = vdupq_n_f32(0.f);
//#pragma GCC unroll 4
for (int i = 0; i < nb; ++i) {
int32x4_t sumi[nrc_y];
for (int iy = 0; iy < nrc_y; ++iy) sumi[iy] = vdupq_n_s32(0);
if constexpr (nrc_y > 1 && Dequantizer::should_scale_quants()) {
deq.process_scales(i, q8, acc);
deq.prepare(i, 0);
deq.compute(q8, i, 0, sumi);
deq.prepare(i, 1);
deq.compute(q8, i, 1, sumi);
} else {
if constexpr (Dequantizer::num_blocks() == 8) {
auto scales = deq.new_block(i, q8, acc);
deq.prepare(i, 0);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_8_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 0, sumi[iy]);
deq.prepare(i, 1);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_8_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 1, sumi[iy]);
}
else if constexpr (Dequantizer::num_blocks() == 16) {
auto scales = deq.new_block(i, q8, acc);
deq.prepare(i, 0);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_16_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 0, sumi[iy]);
deq.prepare(i, 1);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_16_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 1, sumi[iy]);
}
else {
GGML_ASSERT(false);
}
}
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
acc[iy] = vmlaq_f32(acc[iy], vcvtq_f32_s32(sumi[iy]), vdupq_n_f32(deq.d*q8.scale(iy, i)));
}
}
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, vaddvq_f32(acc[iy]));
}
}
}
template <int nrc_y, typename Dequantizer>
IQK_NOINLINE void mul_mat_qX_K_q8_K_IQ(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y, block_q8_K> q8(info);
Dequantizer deq(vx, bx, nrc_y);
for (int ix = 0; ix < nrc_x; ++ix) {
deq.new_row(ix);
float32x4_t acc[nrc_y];
for (int iy = 0; iy < nrc_y; ++iy) acc[iy] = vdupq_n_f32(0.f);
for (int i = 0; i < nb; ++i) {
int32x4_t sumi[nrc_y];
for (int iy = 0; iy < nrc_y; ++iy) sumi[iy] = vdupq_n_s32(0);
if constexpr (Dequantizer::num_blocks() == 8) {
auto scales = deq.new_block(i);
deq.prepare(i, 0);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_8_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 0, sumi[iy]);
deq.prepare(i, 1);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_8_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 1, sumi[iy]);
}
else if constexpr (Dequantizer::num_blocks() == 16) {
auto scales = deq.new_block(i);
deq.prepare(i, 0);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_16_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 0, sumi[iy]);
deq.prepare(i, 1);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) compute_16_blocks(deq.bits.b1, deq.bits.b2, q8, scales, iy, i, 1, sumi[iy]);
}
else {
GGML_ASSERT(false);
}
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
acc[iy] = vmlaq_f32(acc[iy], vcvtq_f32_s32(sumi[iy]), vdupq_n_f32(deq.d*q8.scale(iy, i)));
}
}
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, vaddvq_f32(acc[iy]));
}
}
}
template <typename Q8>
IQK_ALWAYS_INLINE void compute_8_blocks(const uint8x16x4_t& qx_1, const uint8x16x4_t& qx_2, const Q8& q8,
const int32x4x2_t& scales, int iy, int i, int j, int32x4_t& sumi) {
auto mzero = vdupq_n_s32(0);
const int8x16_t * qs_1 = (const int8x16_t *)qx_1.val;
const int8x16_t * qs_2 = (const int8x16_t *)qx_2.val;
auto q8b_1 = q8.load_quants(iy, i, 4*j+0);
auto p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qs_1[0], q8b_1.val[0]), qs_1[1], q8b_1.val[1]); // block 1
auto q8b_2 = q8.load_quants(iy, i, 4*j+1);
auto p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qs_1[2], q8b_2.val[0]), qs_1[3], q8b_2.val[1]); // block 2
auto p12 = vpaddq_s32(p1, p2);
auto q8b_3 = q8.load_quants(iy, i, 4*j+2);
auto p3 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qs_2[0], q8b_3.val[0]), qs_2[1], q8b_3.val[1]); // block 3
auto q8b_4 = q8.load_quants(iy, i, 4*j+3);
auto p4 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qs_2[2], q8b_4.val[0]), qs_2[3], q8b_4.val[1]); // block 4
auto p34 = vpaddq_s32(p3, p4);
auto pall = vpaddq_s32(p12, p34);
sumi = vmlaq_s32(sumi, scales.val[j], pall);
}
template <typename Q8>
IQK_ALWAYS_INLINE void compute_8_blocks(const int8x16_t * qx, const Q8& q8,
const int32x4_t& scales, int iy, int i, int j, int32x4_t& sumi) {
auto mzero = vdupq_n_s32(0);
auto q8b_1 = q8.load_quants(iy, i, 4*j+0);
auto p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qx[0], q8b_1.val[0]), qx[1], q8b_1.val[1]); // block 1
auto q8b_2 = q8.load_quants(iy, i, 4*j+1);
auto p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qx[2], q8b_2.val[0]), qx[3], q8b_2.val[1]); // block 2
auto p12 = vpaddq_s32(p1, p2);
auto q8b_3 = q8.load_quants(iy, i, 4*j+2);
auto p3 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qx[4], q8b_3.val[0]), qx[5], q8b_3.val[1]); // block 3
auto q8b_4 = q8.load_quants(iy, i, 4*j+3);
auto p4 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, qx[6], q8b_4.val[0]), qx[7], q8b_4.val[1]); // block 4
auto p34 = vpaddq_s32(p3, p4);
auto pall = vpaddq_s32(p12, p34);
sumi = vmlaq_s32(sumi, scales, pall);
}
template <typename Q8>
IQK_ALWAYS_INLINE void compute_16_blocks(const uint8x16x4_t& qx_1, const uint8x16x4_t& qx_2, const Q8& q8,
const int32x4x4_t& scales, int iy, int i, int j, int32x4_t& sumi) {
auto mzero = vdupq_n_s32(0);
auto q8b_1 = q8.load_quants(iy, i, 4*j+0);
auto p1 = vpaddq_s32(ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_1.val[0]), q8b_1.val[0]),
ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_1.val[1]), q8b_1.val[1])); // blocks 0, 0, 1, 1,
auto q8b_2 = q8.load_quants(iy, i, 4*j+1);
auto p2 = vpaddq_s32(ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_1.val[2]), q8b_2.val[0]),
ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_1.val[3]), q8b_2.val[1])); // blocks 3, 3, 4, 4,
auto p12 = vpaddq_s32(p1, p2); // blocks 0, 1, 2, 3
sumi = vmlaq_s32(sumi, scales.val[2*j+0], p12);
auto q8b_3 = q8.load_quants(iy, i, 4*j+2);
auto p3 = vpaddq_s32(ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_2.val[0]), q8b_3.val[0]),
ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_2.val[1]), q8b_3.val[1])); // block 4, 4, 5, 5,
auto q8b_4 = q8.load_quants(iy, i, 4*j+3);
auto p4 = vpaddq_s32(ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_2.val[2]), q8b_4.val[0]),
ggml_vdotq_s32(mzero, vreinterpretq_s8_u8(qx_2.val[3]), q8b_4.val[1])); // block 6, 6, 7, 7,
auto p34 = vpaddq_s32(p3, p4); // blocks 4, 5, 6, 7
sumi = vmlaq_s32(sumi, scales.val[2*j+1], p34);
}
template <typename Q8>
inline void accum_mins_8(const int16x8_t& mins, const Q8& q8, float32x4_t * acc, int i, float c) {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
auto q8s = q8.load_bsums8(iy, i);
int32x4_t b1 = vmull_s16(vget_low_s16(mins), vget_low_s16(q8s));
int32x4_t b2 = vmull_s16(vget_high_s16(mins), vget_high_s16(q8s));
float32x4_t prod = vcvtq_f32_s32(vaddq_s32(b1, b2));
acc[iy] = vmlaq_f32(acc[iy], prod, vdupq_n_f32(c*q8.scale(iy, i)));
}
}
template <typename Q8>
inline void accum_mins_16(const int16x8x2_t& mins, const Q8& q8, float32x4_t * acc, int i, float c) {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
auto q8s = q8.load_bsums(iy, i);
int32x4_t b1 = vmull_s16(vget_low_s16 (mins.val[0]), vget_low_s16 (q8s.val[0]));
int32x4_t b2 = vmull_s16(vget_high_s16(mins.val[0]), vget_high_s16(q8s.val[0]));
int32x4_t b3 = vmull_s16(vget_low_s16 (mins.val[1]), vget_low_s16 (q8s.val[1]));
int32x4_t b4 = vmull_s16(vget_high_s16(mins.val[1]), vget_high_s16(q8s.val[1]));
float32x4_t prod = vcvtq_f32_s32(vaddq_s32(vaddq_s32(b1, b2), vaddq_s32(b3, b4)));
acc[iy] = vmlaq_f32(acc[iy], prod, vdupq_n_f32(c*q8.scale(iy, i)));
}
}
struct Scales8 {
uint32_t utmp[4];
const uint8_t * sc8 = (const uint8_t *)utmp;
template <typename Q8, typename Qx>
inline int32x4x2_t process_scales_mins(const Qx& x, const Q8& q8, int i, float32x4_t * acc) {
make_q4_scales(x.scales, utmp);
int16x8_t mins = vmovl_s8(vld1_s8((const int8_t *)sc8 + 8));
accum_mins_8(mins, q8, acc, i, -GGML_FP16_TO_FP32(x.dmin));
uint8x8_t scales8 = vld1_u8(sc8);
uint16x8_t scales16 = vmovl_u8(scales8);
int32x4x2_t scales = {vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(scales16))),
vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(scales16)))};
return scales;
}
};
struct Q4bits {
const uint8x16_t m4b = vdupq_n_u8(0xf);
uint8x16x4_t b1, b2;
inline void prepare4(uint8x16x4_t& b, const uint8x16_t * val) const {
b.val[0] = vandq_u8(val[0], m4b);
b.val[2] = vshrq_n_u8(val[0], 4);
b.val[1] = vandq_u8(val[1], m4b);
b.val[3] = vshrq_n_u8(val[1], 4);
}
inline void prepare4_16(uint8x16x4_t& b, const uint8x16_t * val) const {
b.val[0] = vandq_u8(val[0], m4b);
b.val[1] = vshrq_n_u8(val[0], 4);
b.val[2] = vandq_u8(val[1], m4b);
b.val[3] = vshrq_n_u8(val[1], 4);
}
inline void prepare(const uint8_t * qs) {
auto q4bits = vld1q_u8_x2(qs);
prepare4(b1, q4bits.val);
q4bits = vld1q_u8_x2(qs+32);
prepare4(b2, q4bits.val);
}
inline void prepare_v2(const uint8_t * qs) {
auto q4bits = vld1q_u8_x4(qs);
prepare4(b1, q4bits.val+0);
prepare4(b2, q4bits.val+2);
}
inline void prepare64(const uint8_t * qs) {
auto q4bits = vld1q_u8_x4(qs);
b1.val[0] = vandq_u8(q4bits.val[0], m4b);
b1.val[1] = vandq_u8(q4bits.val[1], m4b);
b1.val[2] = vandq_u8(q4bits.val[2], m4b);
b1.val[3] = vandq_u8(q4bits.val[3], m4b);
b2.val[0] = vshrq_n_u8(q4bits.val[0], 4);
b2.val[1] = vshrq_n_u8(q4bits.val[1], 4);
b2.val[2] = vshrq_n_u8(q4bits.val[2], 4);
b2.val[3] = vshrq_n_u8(q4bits.val[3], 4);
}
inline void prepare16(const uint8_t * qs) {
auto q4bits = vld1q_u8_x2(qs);
prepare4_16(b1, q4bits.val);
q4bits = vld1q_u8_x2(qs+32);
prepare4_16(b2, q4bits.val);
}
inline void prepare16_v2(const uint8_t * qs) {
auto q4bits = vld1q_u8_x4(qs);
prepare4_16(b1, q4bits.val+0);
prepare4_16(b2, q4bits.val+2);
}
};
struct Q2bits {
const uint8x16_t m4b = vdupq_n_u8(0x03);
uint8x16x4_t b1, b2;
inline void prepare(const uint8_t * qs) {
auto q2bits = vld1q_u8_x2(qs);
b1.val[0] = vandq_u8(q2bits.val[0], m4b);
b1.val[1] = vandq_u8(q2bits.val[1], m4b);
q2bits.val[0] = vshrq_n_u8(q2bits.val[0], 2);
q2bits.val[1] = vshrq_n_u8(q2bits.val[1], 2);
b1.val[2] = vandq_u8(q2bits.val[0], m4b);
b1.val[3] = vandq_u8(q2bits.val[1], m4b);
q2bits.val[0] = vshrq_n_u8(q2bits.val[0], 2);
q2bits.val[1] = vshrq_n_u8(q2bits.val[1], 2);
b2.val[0] = vandq_u8(q2bits.val[0], m4b);
b2.val[1] = vandq_u8(q2bits.val[1], m4b);
q2bits.val[0] = vshrq_n_u8(q2bits.val[0], 2);
q2bits.val[1] = vshrq_n_u8(q2bits.val[1], 2);
b2.val[2] = vandq_u8(q2bits.val[0], m4b);
b2.val[3] = vandq_u8(q2bits.val[1], m4b);
}
};
template <typename block_q>
struct BaseDequantizer {
BaseDequantizer(const void * vx, size_t bx, int nrc) : vx(vx), x(nullptr), bx(bx), nrc(nrc) {}
inline void new_row(int ix) { x = (const block_q *)((const char *)vx + ix*bx); }
const void * vx;
const block_q * x;
const size_t bx;
const int nrc;
};
struct DequantizerQ4K final : public BaseDequantizer<block_q4_K> {
DequantizerQ4K(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 8; }
constexpr static bool should_scale_quants() { return false; }
template <typename Q8>
inline int32x4x2_t new_block(int i, const Q8& q8, float32x4_t * acc) {
d = GGML_FP16_TO_FP32(x[i].d);
return s8.process_scales_mins(x[i], q8, i, acc);
}
inline void prepare(int i, int j) {
if (nrc == 1) bits.prepare_v2(x[i].qs+64*j);
else bits.prepare(x[i].qs+64*j);
}
Q4bits bits;
Scales8 s8;
float d;
};
struct HighBit5 {
const uint8x16_t mhb = vdupq_n_u8(0x10);
uint8x16x2_t bits;
inline void apply(uint8x16x4_t& b1, uint8x16x4_t& b2, bool do_shift) {
b1.val[0] = vorrq_u8(b1.val[0], vandq_u8(vshlq_n_u8(bits.val[0], 4), mhb));
b1.val[1] = vorrq_u8(b1.val[1], vandq_u8(vshlq_n_u8(bits.val[1], 4), mhb));
b1.val[2] = vorrq_u8(b1.val[2], vandq_u8(vshlq_n_u8(bits.val[0], 3), mhb));
b1.val[3] = vorrq_u8(b1.val[3], vandq_u8(vshlq_n_u8(bits.val[1], 3), mhb));
b2.val[0] = vorrq_u8(b2.val[0], vandq_u8(vshlq_n_u8(bits.val[0], 2), mhb));
b2.val[1] = vorrq_u8(b2.val[1], vandq_u8(vshlq_n_u8(bits.val[1], 2), mhb));
b2.val[2] = vorrq_u8(b2.val[2], vandq_u8(vshlq_n_u8(bits.val[0], 1), mhb));
b2.val[3] = vorrq_u8(b2.val[3], vandq_u8(vshlq_n_u8(bits.val[1], 1), mhb));
if (do_shift) {
bits.val[0] = vshrq_n_u8(bits.val[0], 4);
bits.val[1] = vshrq_n_u8(bits.val[1], 4);
}
}
};
struct HighBit3 {
const uint8x16_t mhb = vdupq_n_u8(0x04);
uint8x16x2_t bits;
inline void apply(uint8x16x4_t& b1, uint8x16x4_t& b2, bool do_shift) {
b1.val[0] = vorrq_u8(b1.val[0], vandq_u8(vshlq_n_u8(bits.val[0], 2), mhb));
b1.val[1] = vorrq_u8(b1.val[1], vandq_u8(vshlq_n_u8(bits.val[1], 2), mhb));
b1.val[2] = vorrq_u8(b1.val[2], vandq_u8(vshlq_n_u8(bits.val[0], 1), mhb));
b1.val[3] = vorrq_u8(b1.val[3], vandq_u8(vshlq_n_u8(bits.val[1], 1), mhb));
b2.val[0] = vorrq_u8(b2.val[0], vandq_u8(bits.val[0], mhb));
b2.val[1] = vorrq_u8(b2.val[1], vandq_u8(bits.val[1], mhb));
b2.val[2] = vorrq_u8(b2.val[2], vandq_u8(vshrq_n_u8(bits.val[0], 1), mhb));
b2.val[3] = vorrq_u8(b2.val[3], vandq_u8(vshrq_n_u8(bits.val[1], 1), mhb));
if (do_shift) {
bits.val[0] = vshrq_n_u8(bits.val[0], 4);
bits.val[1] = vshrq_n_u8(bits.val[1], 4);
}
}
};
struct DequantizerQ5K final : public BaseDequantizer<block_q5_K> {
DequantizerQ5K(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 8; }
constexpr static bool should_scale_quants() { return false; }
template <typename Q8>
inline int32x4x2_t new_block(int i, const Q8& q8, float32x4_t * acc) {
d = GGML_FP16_TO_FP32(x[i].d);
h.bits = vld1q_u8_x2(x[i].qh);
return s8.process_scales_mins(x[i], q8, i, acc);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs+64*j);
h.apply(bits.b1, bits.b2, j == 0);
}
Q4bits bits;
HighBit5 h;
Scales8 s8;
uint8x16x2_t hbits;
float d;
};
inline int32x4x4_t make_wider(const int16x8x2_t& scales16) {
int32x4x4_t scales = {
vmovl_s16(vget_low_s16 (scales16.val[0])),
vmovl_s16(vget_high_s16(scales16.val[0])),
vmovl_s16(vget_low_s16 (scales16.val[1])),
vmovl_s16(vget_high_s16(scales16.val[1])),
};
return scales;
}
template <typename Q8>
inline int32x4x4_t process_scales_mins_16(const int8x16_t& scales8, const Q8& q8, float32x4_t * acc, int i, float c) {
int16x8x2_t scales16;
scales16.val[0] = vmovl_s8(vget_low_s8(scales8));
scales16.val[1] = vmovl_s8(vget_high_s8(scales8));
accum_mins_16(scales16, q8, acc, i, c);
return make_wider(scales16);
}
struct DequantizerQ6K final : public BaseDequantizer<block_q6_K> {
DequantizerQ6K(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 16; }
constexpr static bool should_scale_quants() { return false; }
template <typename Q8>
inline int32x4x4_t new_block(int i, const Q8& q8, float32x4_t * acc) {
d = GGML_FP16_TO_FP32(x[i].d);
return process_scales_mins_16(vld1q_s8(x[i].scales), q8, acc, i, -32.f*d);
}
inline void prepare(int i, int j) {
auto hbits = vld1q_u8_x2(x[i].qh + 32*j);
bits.prepare64(x[i].ql+64*j);
bits.b1.val[0] = vorrq_u8(bits.b1.val[0], vandq_u8(vshlq_n_u8(hbits.val[0], 4), mhb));
bits.b1.val[1] = vorrq_u8(bits.b1.val[1], vandq_u8(vshlq_n_u8(hbits.val[1], 4), mhb));
bits.b1.val[2] = vorrq_u8(bits.b1.val[2], vandq_u8(vshlq_n_u8(hbits.val[0], 2), mhb));
bits.b1.val[3] = vorrq_u8(bits.b1.val[3], vandq_u8(vshlq_n_u8(hbits.val[1], 2), mhb));
bits.b2.val[0] = vorrq_u8(bits.b2.val[0], vandq_u8(hbits.val[0], mhb));
bits.b2.val[1] = vorrq_u8(bits.b2.val[1], vandq_u8(hbits.val[1], mhb));
bits.b2.val[2] = vorrq_u8(bits.b2.val[2], vandq_u8(vshrq_n_u8(hbits.val[0], 2), mhb));
bits.b2.val[3] = vorrq_u8(bits.b2.val[3], vandq_u8(vshrq_n_u8(hbits.val[1], 2), mhb));
}
Q4bits bits;
const uint8x16_t mhb = vdupq_n_u8(0x30);
float d;
};
struct DequantizerQ3K final : public BaseDequantizer<block_q3_K> {
DequantizerQ3K(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 16; }
constexpr static bool should_scale_quants() { return false; }
template <typename Q8>
inline int32x4x4_t new_block(int i, const Q8& q8, float32x4_t * acc) {
d = GGML_FP16_TO_FP32(x[i].d);
h.bits = vld1q_u8_x2(x[i].hmask);
const uint16_t * sc16 = (const uint16_t *)x[i].scales;
uint32_t aux0 = sc16[0] | (sc16[1] << 16);
uint32_t aux1 = sc16[2] | (sc16[3] << 16);
uint32_t aux2 = sc16[4] | (sc16[5] << 16);
aux32[0] = (aux0 & 0x0f0f0f0f) | ((aux2 << 4) & 0x30303030);
aux32[1] = (aux1 & 0x0f0f0f0f) | ((aux2 << 2) & 0x30303030);
aux32[2] = ((aux0 >> 4) & 0x0f0f0f0f) | ((aux2 >> 0) & 0x30303030);
aux32[3] = ((aux1 >> 4) & 0x0f0f0f0f) | ((aux2 >> 2) & 0x30303030);
return process_scales_mins_16(vaddq_s8(vld1q_s8((const int8_t *)aux32), vdupq_n_s8(-32)), q8, acc, i, -4.f*d);
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs+32*j);
h.apply(bits.b1, bits.b2, j == 0);
}
uint32_t aux32[4];
Q2bits bits;
HighBit3 h;
float d;
};
struct DequantizerQ2K final : public BaseDequantizer<block_q2_K> {
DequantizerQ2K(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 16; }
constexpr static bool should_scale_quants() { return true; }
template <typename Q8>
inline void process_scales(int i, const Q8& q8, float32x4_t * acc) {
d = GGML_FP16_TO_FP32(x[i].d);
auto scales_and_mins = vld1q_u8(x[i].scales);
auto mins8 = vreinterpretq_s8_u8(vshrq_n_u8(scales_and_mins, 4));
int16x8x2_t scales16;
scales16.val[0] = vmovl_s8(vget_low_s8(mins8));
scales16.val[1] = vmovl_s8(vget_high_s8(mins8));
accum_mins_16(scales16, q8, acc, i, -GGML_FP16_TO_FP32(x[i].dmin));
scales8 = vandq_u8(scales_and_mins, vdupq_n_u8(0xf));
}
template <typename Q8>
inline int32x4x4_t new_block(int i, const Q8& q8, float32x4_t * acc) {
process_scales(i, q8, acc);
int16x8x2_t scales16;
scales16.val[0] = vmovl_s8(vget_low_s8(vreinterpretq_s8_u8(scales8)));
scales16.val[1] = vmovl_s8(vget_high_s8(vreinterpretq_s8_u8(scales8)));
return make_wider(scales16);
}
template <typename Q8>
inline void compute(const Q8& q8, int i, int j, int32x4_t * sumi) {
auto m1 = vdupq_n_u8(1);
auto shuffle = vdupq_n_u8(8*j);
bits.b1.val[0] = vmulq_u8(bits.b1.val[0], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b1.val[1] = vmulq_u8(bits.b1.val[1], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b1.val[2] = vmulq_u8(bits.b1.val[2], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b1.val[3] = vmulq_u8(bits.b1.val[3], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b2.val[0] = vmulq_u8(bits.b2.val[0], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b2.val[1] = vmulq_u8(bits.b2.val[1], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b2.val[2] = vmulq_u8(bits.b2.val[2], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
bits.b2.val[3] = vmulq_u8(bits.b2.val[3], vqtbl1q_u8(scales8, shuffle)); shuffle = vaddq_u8(shuffle, m1);
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
auto q8b_1 = q8.load_quants(iy, i, 4*j+0);
sumi[iy] = ggml_vdotq_s32(ggml_vdotq_s32(sumi[iy], vreinterpretq_s8_u8(bits.b1.val[0]), q8b_1.val[0]),
vreinterpretq_s8_u8(bits.b1.val[1]), q8b_1.val[1]);
auto q8b_2 = q8.load_quants(iy, i, 4*j+1);
sumi[iy] = ggml_vdotq_s32(ggml_vdotq_s32(sumi[iy], vreinterpretq_s8_u8(bits.b1.val[2]), q8b_2.val[0]),
vreinterpretq_s8_u8(bits.b1.val[3]), q8b_2.val[1]);
auto q8b_3 = q8.load_quants(iy, i, 4*j+2);
sumi[iy] = ggml_vdotq_s32(ggml_vdotq_s32(sumi[iy], vreinterpretq_s8_u8(bits.b2.val[0]), q8b_3.val[0]),
vreinterpretq_s8_u8(bits.b2.val[1]), q8b_3.val[1]);
auto q8b_4 = q8.load_quants(iy, i, 4*j+3);
sumi[iy] = ggml_vdotq_s32(ggml_vdotq_s32(sumi[iy], vreinterpretq_s8_u8(bits.b2.val[2]), q8b_4.val[0]),
vreinterpretq_s8_u8(bits.b2.val[3]), q8b_4.val[1]);
}
}
inline void prepare(int i, int j) {
bits.prepare(x[i].qs+32*j);
}
uint32_t aux32[4];
uint8x16_t scales8;
Q2bits bits;
float d;
};
// ============================= i-quants
struct DequantizerIQ4XS final : public BaseDequantizer<block_iq4_xs> {
static int8x16_t load_values() {
static const int8_t iq4nl_values[16] = {-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
return vld1q_s8(iq4nl_values);
}
DequantizerIQ4XS(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc), values(load_values()) {}
constexpr static int num_blocks() { return 8; }
constexpr static bool should_scale_quants() { return false; }
inline void new_row(int ix) { x = (const block_iq4_xs *)((const char *)vx + bx*ix); }
template <typename Q8>
inline int32x4x2_t new_block(int i, const Q8& q8, float32x4_t * acc) {
(void)q8;
(void)acc;
d = GGML_FP16_TO_FP32(x[i].d);
const uint16_t scales_h = x[i].scales_h;
const uint16_t * scales_l = (const uint16_t *)x[i].scales_l;
aux32[0] = scales_l[0] | (scales_l[1] << 16);
aux32[1] = aux32[0] >> 4;
// scl is ordered as 0, 2, 4, 6, 1, 3, 5, 7
uint8x8_t scl8 = vand_u8(vld1_u8((const uint8_t *)aux32), vdup_n_u8(0xf));
uint16_t * aux16 = (uint16_t *)aux32;
aux16[0] = scales_h << 4; aux16[1] = scales_h << 2; aux16[2] = scales_h; aux16[3] = scales_h >> 2;
// sch is ordered as 0, 4, 1, 5, 2, 6, 3, 7
uint8x8_t sch8 = vand_u8(vld1_u8((const uint8_t *)aux16), vdup_n_u8(0x30));
int8x8_t scales8 = vadd_s8(vreinterpret_s8_u8(vorr_u8(scl8, vtbl1_u8(sch8, vreinterpret_u8_u32(hshuff)))), vdup_n_s8(-32));
// shuffle 0, 2, 4, 6, 1, 3, 5, 7 -> 0, 1, 2, 3, 4, 5, 6, 7
scales8 = vtbl1_s8(scales8, vreinterpret_s8_u32(hshuff));
int16x8_t scales16 = vmovl_s8(scales8);
int32x4x2_t scales = {vmovl_s16(vget_low_s16(scales16)), vmovl_s16(vget_high_s16(scales16))};
return scales;
}
inline void prepare(int i, int j) {
bits.prepare16(x[i].qs+64*j);
for (int k = 0; k < 4; ++k) {
bits.b1.val[k] = vreinterpretq_u8_s8(vqtbl1q_s8(values, bits.b1.val[k]));
bits.b2.val[k] = vreinterpretq_u8_s8(vqtbl1q_s8(values, bits.b2.val[k]));
}
}
Q4bits bits;
const int8x16_t values;
uint32_t aux32[2];
constexpr static uint32x2_t hshuff = {0x05010400, 0x07030602};
float d;
};
struct SimpleBits {
uint8x16x4_t b1;
uint8x16x4_t b2;
};
IQK_ALWAYS_INLINE int32x4x2_t prepare_scales_8(const uint32x4_t& v1, const uint32x4_t& v2) {
int32x4x2_t scales;
auto one = vdupq_n_u32(1);
scales.val[0] = vreinterpretq_s32_u32(vsliq_n_u32(one, vshrq_n_u32(v1, 28), 1));
scales.val[1] = vreinterpretq_s32_u32(vsliq_n_u32(one, vshrq_n_u32(v2, 28), 1));
return scales;
}
inline void apply_signs_2(uint8x16_t * b, const uint64_t * signs, uint32_t sidx) {
auto s1 = vcombine_s8(vld1_s8((const int8_t *)(signs + ((sidx >> 0) & 127))), vld1_s8((const int8_t *)(signs + ((sidx >> 7) & 127))));
auto s2 = vcombine_s8(vld1_s8((const int8_t *)(signs + ((sidx >>14) & 127))), vld1_s8((const int8_t *)(signs + ((sidx >>21) & 127))));
b[0] = vreinterpretq_u8_s8(vmulq_s8(vreinterpretq_s8_u8(b[0]), s1));
b[1] = vreinterpretq_u8_s8(vmulq_s8(vreinterpretq_s8_u8(b[1]), s2));
}
IQK_ALWAYS_INLINE int32x4_t prepare_scales_8(const uint32x4_t& v1) {
return vreinterpretq_s32_u32(vsliq_n_u32(vdupq_n_u32(1), vshrq_n_u32(v1, 28), 1));
}
struct DequantizerIQ2XXS final : public BaseDequantizer<block_iq2_xxs> {
DequantizerIQ2XXS(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
IQK_ALWAYS_INLINE float new_block(int i) const { return 0.125f * GGML_FP16_TO_FP32(x[i].d); }
inline int32x4_t unpack(int i, int j, uint8x16_t * q) const {
auto data = vld1q_u32_x2((const uint32_t *)(x[i].qs + 16*j));
prepare_all(data, q);
return prepare_scales_8(vuzp2q_u32(data.val[0], data.val[1]));
}
private:
static inline void prepare2(uint8x16_t * b, const uint32_t * bits, const uint64_t * signs) {
const uint8_t * idx = (const uint8_t *)bits;
b[0] = vreinterpretq_u8_u64(uint64x2_t{iq2xxs_grid[idx[0]], iq2xxs_grid[idx[1]]});
b[1] = vreinterpretq_u8_u64(uint64x2_t{iq2xxs_grid[idx[2]], iq2xxs_grid[idx[3]]});
apply_signs_2(b, signs, bits[1]);
}
inline static void prepare_all(const uint32x4x2_t& data, uint8x16_t * quants) {
const uint32_t * q2 = (const uint32_t *)data.val;
prepare2(quants+0, q2+0, keven_signs);
prepare2(quants+2, q2+2, keven_signs);
prepare2(quants+4, q2+4, keven_signs);
prepare2(quants+6, q2+6, keven_signs);
}
};
inline int32x4x4_t prepare_4bit_scales16(const uint8_t * sc) {
auto aux = vld1_u8(sc);
auto scales_l = vand_u8(aux, vdup_n_u8(0xf));
auto scales_h = vshr_n_u8(aux, 4);
auto aux1 = vcombine_u8(vzip1_u8(scales_l, scales_h), vzip2_u8(scales_l, scales_h));
auto scales8 = vreinterpretq_s8_u8(vorrq_u8(vshlq_n_u8(aux1, 1), vdupq_n_u8(1)));
int16x8x2_t scales16 = { vmovl_s8(vget_low_s8(scales8)), vmovl_s8(vget_high_s8(scales8)) };
return make_wider(scales16);
}
struct DequantizerIQ2XS final : public BaseDequantizer<block_iq2_xs> {
DequantizerIQ2XS(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 16; }
constexpr static bool should_scale_quants() { return false; }
SimpleBits bits;
float d;
inline int32x4x4_t new_block(int i) {
d = 0.125f * GGML_FP16_TO_FP32(x[i].d);
prepare_internal(i, 0);
return prepare_4bit_scales16(x[i].scales);
}
inline void prepare(int i, int j) {
if (j == 1) prepare_internal(i, 1);
}
private:
static void make2(const uint16_t * qs, uint8x16_t * b) {
auto v1 = vcombine_s8(vld1_s8((const int8_t *)(iq2xs_grid + (qs[0] & 511))), vld1_s8((const int8_t *)(iq2xs_grid + (qs[1] & 511))));
auto v2 = vcombine_s8(vld1_s8((const int8_t *)(iq2xs_grid + (qs[2] & 511))), vld1_s8((const int8_t *)(iq2xs_grid + (qs[3] & 511))));
auto s1 = vcombine_s8(vld1_s8((const int8_t *)(keven_signs + (qs[0] >> 9))), vld1_s8((const int8_t *)(keven_signs + (qs[1] >> 9))));
auto s2 = vcombine_s8(vld1_s8((const int8_t *)(keven_signs + (qs[2] >> 9))), vld1_s8((const int8_t *)(keven_signs + (qs[3] >> 9))));
b[0] = vreinterpretq_u8_s8(vmulq_s8(v1, s1));
b[1] = vreinterpretq_u8_s8(vmulq_s8(v2, s2));
}
inline static void make4(const uint16_t * qs, uint8x16_t * b) {
make2(qs + 0, b + 0);
make2(qs + 4, b + 2);
}
IQK_ALWAYS_INLINE void prepare_internal(int i, int j) {
make4(x[i].qs + 16*j + 0, bits.b1.val);
make4(x[i].qs + 16*j + 8, bits.b2.val);
}
};
// So, I hate to include this table, but with the GCC 12.3 compiler
// bundled in the Cosmopolitan tools, loading the unpacked sign bytes
// from this table using the packed 8 sign bits as index is faster than
// using the standard trick of vceqq_u8(vandq_u8(bits, mask), mask) to
// expand the bits to bytes.
static const uint64_t kall_signs[256] = {
0x0101010101010101, 0x01010101010101ff, 0x010101010101ff01, 0x010101010101ffff,
0x0101010101ff0101, 0x0101010101ff01ff, 0x0101010101ffff01, 0x0101010101ffffff,
0x01010101ff010101, 0x01010101ff0101ff, 0x01010101ff01ff01, 0x01010101ff01ffff,
0x01010101ffff0101, 0x01010101ffff01ff, 0x01010101ffffff01, 0x01010101ffffffff,
0x010101ff01010101, 0x010101ff010101ff, 0x010101ff0101ff01, 0x010101ff0101ffff,
0x010101ff01ff0101, 0x010101ff01ff01ff, 0x010101ff01ffff01, 0x010101ff01ffffff,
0x010101ffff010101, 0x010101ffff0101ff, 0x010101ffff01ff01, 0x010101ffff01ffff,
0x010101ffffff0101, 0x010101ffffff01ff, 0x010101ffffffff01, 0x010101ffffffffff,
0x0101ff0101010101, 0x0101ff01010101ff, 0x0101ff010101ff01, 0x0101ff010101ffff,
0x0101ff0101ff0101, 0x0101ff0101ff01ff, 0x0101ff0101ffff01, 0x0101ff0101ffffff,
0x0101ff01ff010101, 0x0101ff01ff0101ff, 0x0101ff01ff01ff01, 0x0101ff01ff01ffff,
0x0101ff01ffff0101, 0x0101ff01ffff01ff, 0x0101ff01ffffff01, 0x0101ff01ffffffff,
0x0101ffff01010101, 0x0101ffff010101ff, 0x0101ffff0101ff01, 0x0101ffff0101ffff,
0x0101ffff01ff0101, 0x0101ffff01ff01ff, 0x0101ffff01ffff01, 0x0101ffff01ffffff,
0x0101ffffff010101, 0x0101ffffff0101ff, 0x0101ffffff01ff01, 0x0101ffffff01ffff,
0x0101ffffffff0101, 0x0101ffffffff01ff, 0x0101ffffffffff01, 0x0101ffffffffffff,
0x01ff010101010101, 0x01ff0101010101ff, 0x01ff01010101ff01, 0x01ff01010101ffff,
0x01ff010101ff0101, 0x01ff010101ff01ff, 0x01ff010101ffff01, 0x01ff010101ffffff,
0x01ff0101ff010101, 0x01ff0101ff0101ff, 0x01ff0101ff01ff01, 0x01ff0101ff01ffff,
0x01ff0101ffff0101, 0x01ff0101ffff01ff, 0x01ff0101ffffff01, 0x01ff0101ffffffff,
0x01ff01ff01010101, 0x01ff01ff010101ff, 0x01ff01ff0101ff01, 0x01ff01ff0101ffff,
0x01ff01ff01ff0101, 0x01ff01ff01ff01ff, 0x01ff01ff01ffff01, 0x01ff01ff01ffffff,
0x01ff01ffff010101, 0x01ff01ffff0101ff, 0x01ff01ffff01ff01, 0x01ff01ffff01ffff,
0x01ff01ffffff0101, 0x01ff01ffffff01ff, 0x01ff01ffffffff01, 0x01ff01ffffffffff,
0x01ffff0101010101, 0x01ffff01010101ff, 0x01ffff010101ff01, 0x01ffff010101ffff,
0x01ffff0101ff0101, 0x01ffff0101ff01ff, 0x01ffff0101ffff01, 0x01ffff0101ffffff,
0x01ffff01ff010101, 0x01ffff01ff0101ff, 0x01ffff01ff01ff01, 0x01ffff01ff01ffff,
0x01ffff01ffff0101, 0x01ffff01ffff01ff, 0x01ffff01ffffff01, 0x01ffff01ffffffff,
0x01ffffff01010101, 0x01ffffff010101ff, 0x01ffffff0101ff01, 0x01ffffff0101ffff,
0x01ffffff01ff0101, 0x01ffffff01ff01ff, 0x01ffffff01ffff01, 0x01ffffff01ffffff,
0x01ffffffff010101, 0x01ffffffff0101ff, 0x01ffffffff01ff01, 0x01ffffffff01ffff,
0x01ffffffffff0101, 0x01ffffffffff01ff, 0x01ffffffffffff01, 0x01ffffffffffffff,
0xff01010101010101, 0xff010101010101ff, 0xff0101010101ff01, 0xff0101010101ffff,
0xff01010101ff0101, 0xff01010101ff01ff, 0xff01010101ffff01, 0xff01010101ffffff,
0xff010101ff010101, 0xff010101ff0101ff, 0xff010101ff01ff01, 0xff010101ff01ffff,
0xff010101ffff0101, 0xff010101ffff01ff, 0xff010101ffffff01, 0xff010101ffffffff,
0xff0101ff01010101, 0xff0101ff010101ff, 0xff0101ff0101ff01, 0xff0101ff0101ffff,
0xff0101ff01ff0101, 0xff0101ff01ff01ff, 0xff0101ff01ffff01, 0xff0101ff01ffffff,
0xff0101ffff010101, 0xff0101ffff0101ff, 0xff0101ffff01ff01, 0xff0101ffff01ffff,
0xff0101ffffff0101, 0xff0101ffffff01ff, 0xff0101ffffffff01, 0xff0101ffffffffff,
0xff01ff0101010101, 0xff01ff01010101ff, 0xff01ff010101ff01, 0xff01ff010101ffff,
0xff01ff0101ff0101, 0xff01ff0101ff01ff, 0xff01ff0101ffff01, 0xff01ff0101ffffff,
0xff01ff01ff010101, 0xff01ff01ff0101ff, 0xff01ff01ff01ff01, 0xff01ff01ff01ffff,
0xff01ff01ffff0101, 0xff01ff01ffff01ff, 0xff01ff01ffffff01, 0xff01ff01ffffffff,
0xff01ffff01010101, 0xff01ffff010101ff, 0xff01ffff0101ff01, 0xff01ffff0101ffff,
0xff01ffff01ff0101, 0xff01ffff01ff01ff, 0xff01ffff01ffff01, 0xff01ffff01ffffff,
0xff01ffffff010101, 0xff01ffffff0101ff, 0xff01ffffff01ff01, 0xff01ffffff01ffff,
0xff01ffffffff0101, 0xff01ffffffff01ff, 0xff01ffffffffff01, 0xff01ffffffffffff,
0xffff010101010101, 0xffff0101010101ff, 0xffff01010101ff01, 0xffff01010101ffff,
0xffff010101ff0101, 0xffff010101ff01ff, 0xffff010101ffff01, 0xffff010101ffffff,
0xffff0101ff010101, 0xffff0101ff0101ff, 0xffff0101ff01ff01, 0xffff0101ff01ffff,
0xffff0101ffff0101, 0xffff0101ffff01ff, 0xffff0101ffffff01, 0xffff0101ffffffff,
0xffff01ff01010101, 0xffff01ff010101ff, 0xffff01ff0101ff01, 0xffff01ff0101ffff,
0xffff01ff01ff0101, 0xffff01ff01ff01ff, 0xffff01ff01ffff01, 0xffff01ff01ffffff,
0xffff01ffff010101, 0xffff01ffff0101ff, 0xffff01ffff01ff01, 0xffff01ffff01ffff,
0xffff01ffffff0101, 0xffff01ffffff01ff, 0xffff01ffffffff01, 0xffff01ffffffffff,
0xffffff0101010101, 0xffffff01010101ff, 0xffffff010101ff01, 0xffffff010101ffff,
0xffffff0101ff0101, 0xffffff0101ff01ff, 0xffffff0101ffff01, 0xffffff0101ffffff,
0xffffff01ff010101, 0xffffff01ff0101ff, 0xffffff01ff01ff01, 0xffffff01ff01ffff,
0xffffff01ffff0101, 0xffffff01ffff01ff, 0xffffff01ffffff01, 0xffffff01ffffffff,
0xffffffff01010101, 0xffffffff010101ff, 0xffffffff0101ff01, 0xffffffff0101ffff,
0xffffffff01ff0101, 0xffffffff01ff01ff, 0xffffffff01ffff01, 0xffffffff01ffffff,
0xffffffffff010101, 0xffffffffff0101ff, 0xffffffffff01ff01, 0xffffffffff01ffff,
0xffffffffffff0101, 0xffffffffffff01ff, 0xffffffffffffff01, 0xffffffffffffffff,
};
struct SignHelper {
IQK_ALWAYS_INLINE void apply_signs_1x(uint8x16_t * b, const uint8_t * sign_bits) const {
auto s = vreinterpretq_s8_u64(uint64x2_t{kall_signs[sign_bits[0]], kall_signs[sign_bits[1]]});
// Normally we would expect this to be faster, but it isn't.
// auto aux = vcombine_u8(vdup_n_u8(sign_bits[0]), vdup_n_u8(sign_bits[1]));
// auto s = vreinterpretq_s8_u8(vorrq_u8(vceqq_u8(vandq_u8(aux, smask), smask), m1));
b[0] = vreinterpretq_u8_s8(vmulq_s8(vreinterpretq_s8_u8(b[0]), s));
}
// We would need these two if we weren't loading from the unpacked sign table.
//const uint8x16_t smask = vreinterpretq_u8_u64(vdupq_n_u64(0x8040201008040201));
//const uint8x16_t m1 = vdupq_n_u8(1);
};
struct DequantizerIQ2S final : public BaseDequantizer<block_iq2_s> {
DequantizerIQ2S(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 16; }
constexpr static bool should_scale_quants() { return false; }
SimpleBits bits;
float d;
inline int32x4x4_t new_block(int i) {
d = 0.125f * GGML_FP16_TO_FP32(x[i].d);
prepare_internal(i, 0, bits);
return prepare_4bit_scales16(x[i].scales);
}
inline void prepare(int i, int j) {
if (j == 1) prepare_internal(i, 1, bits);
}
private:
static void make4(const SignHelper& sh, const uint8_t * sign_bits, const uint8_t * qs, const uint8_t * qh, uint8x16_t * b) {
uint32_t aux32[2];
const uint16_t * aux16 = (const uint16_t *)aux32;
for (int k = 0; k < 2; ++k) {
aux32[1] = (qh[k] << 4) | (qh[k] << 18);
aux32[0] = (aux32[1] << 4) & 0x03000300;
aux32[1] &= 0x03000300;
b[2*k+0] = vcombine_u8(vld1_u8((const uint8_t *)(iq2s_grid + (qs[4*k+0] | aux16[0]))),
vld1_u8((const uint8_t *)(iq2s_grid + (qs[4*k+1] | aux16[1]))));
b[2*k+1] = vcombine_u8(vld1_u8((const uint8_t *)(iq2s_grid + (qs[4*k+2] | aux16[2]))),
vld1_u8((const uint8_t *)(iq2s_grid + (qs[4*k+3] | aux16[3]))));
sh.apply_signs_1x(b+2*k+0, sign_bits); sign_bits += 2;
sh.apply_signs_1x(b+2*k+1, sign_bits); sign_bits += 2;
}
}
void prepare_internal(int i, int j, SimpleBits& sb) {
const auto * qs = x[i].qs + 16*j;
const auto * qh = x[i].qh + 4*j;
const auto * sign_bits = qs + QK_K/8;
make4(sh, sign_bits+0, qs+0, qh+0, sb.b1.val);
make4(sh, sign_bits+8, qs+8, qh+2, sb.b2.val);
}
SignHelper sh;
};
struct DequantizerIQ3XXS final : public BaseDequantizer<block_iq3_xxs> {
DequantizerIQ3XXS(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
IQK_ALWAYS_INLINE float new_block(int i) const { return 0.25f * GGML_FP16_TO_FP32(x[i].d); }
inline int32x4_t unpack(int i, int j, uint8x16_t * q) const {
auto q3data = vld1q_u8_x2(x[i].qs + 32*j);
auto gas = vld1q_u32((const uint32_t *)(x[i].qs + QK_K/4 + 16*j));
prepare_block((const uint8_t *)q3data.val, (const uint32_t *)&gas, q);
return prepare_scales_8(gas);
}
private:
inline static void make2(const uint8_t * q3, const uint32_t sidx, uint8x16_t * b) {
b[0] = vreinterpretq_u8_u32(uint32x4_t{iq3xxs_grid[q3[0]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[3]]});
b[1] = vreinterpretq_u8_u32(uint32x4_t{iq3xxs_grid[q3[4]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[7]]});
apply_signs_2(b, keven_signs, sidx);
}
inline static void prepare_block(const uint8_t * q3, const uint32_t * signs, uint8x16_t * quants) {
make2(q3+ 0, signs[0], quants + 0);
make2(q3+ 8, signs[1], quants + 2);
make2(q3+16, signs[2], quants + 4);
make2(q3+24, signs[3], quants + 6);
}
};
struct DequantizerIQ3S final : public BaseDequantizer<block_iq3_s> {
DequantizerIQ3S(const void * vx, size_t bx, int nrc) : BaseDequantizer(vx, bx, nrc) {}
constexpr static int num_blocks() { return 8; }
constexpr static bool should_scale_quants() { return false; }
SimpleBits bits;
float d;
inline int32x4x2_t new_block(int i) {
d = GGML_FP16_TO_FP32(x[i].d);
uint32_t scales32[2];
auto qs = vld1q_u8_x2(x[i].qs);
auto signs = vld1q_u8(x[i].signs);
prepare_block((const uint8_t *)qs.val, x[i].qh, (const uint8_t *)&signs);
std::memcpy(scales32, x[i].scales, 4);
scales32[1] = (((scales32[0] >> 4) & 0x0f0f0f0f) << 1) | 0x01010101;
scales32[0] = ((scales32[0] & 0x0f0f0f0f) << 1) | 0x01010101;
auto scales8 = vld1_u8((const uint8_t *)scales32); // 0, 2, 4, 6, 1, 3, 5, 7
scales8 = vtbl1_u8(scales8, vreinterpret_u8_u64(vdup_n_u64(0x0703060205010400)));
auto scales16 = vreinterpretq_s16_u16(vmovl_u8(scales8));
int32x4x2_t scales;
scales.val[0] = vmovl_s16(vget_low_s16(scales16));
scales.val[1] = vmovl_s16(vget_high_s16(scales16));
return scales;
}
inline void prepare(int i, int j) {
if (j == 1) {
auto qs = vld1q_u8_x2(x[i].qs + 32);
auto signs = vld1q_u8(x[i].signs + 16);
prepare_block((const uint8_t *)qs.val, x[i].qh + 4, (const uint8_t *)&signs);
}
}
private:
static inline void make2(const SignHelper& sh, const uint8_t * sign_bits, const uint16x8_t& idx_l, uint8_t qh,
const int16x8_t& hshift, uint8x16_t * b) {
auto vindex = vorrq_u16(idx_l, vandq_u16(vshlq_u16(vdupq_n_u16(qh), hshift), vdupq_n_u16(256)));
const uint16_t * idx = (const uint16_t *)&vindex;
b[0] = vreinterpretq_u8_u32(uint32x4_t{iq3s_grid[idx[0]], iq3s_grid[idx[1]], iq3s_grid[idx[2]], iq3s_grid[idx[3]]});
sh.apply_signs_1x(b+0, sign_bits+0);
b[1] = vreinterpretq_u8_u32(uint32x4_t{iq3s_grid[idx[4]], iq3s_grid[idx[5]], iq3s_grid[idx[6]], iq3s_grid[idx[7]]});
sh.apply_signs_1x(b+1, sign_bits+2);
}
static inline void make4(const SignHelper& sh, const uint8_t * sign_bits, const uint8_t * qs, const uint8_t * qh,
const int16x8_t& hshift, uint8x16_t * b) {
auto idx_l = vld1q_u8(qs);
make2(sh, sign_bits+0, vmovl_u8(vget_low_u8 (idx_l)), qh[0], hshift, b+0);
make2(sh, sign_bits+4, vmovl_u8(vget_high_u8(idx_l)), qh[1], hshift, b+2);
}
static int16x8_t load_shift() {
static const int16_t k_shift[8] = {8, 7, 6, 5, 4, 3, 2, 1};
return vld1q_s16(k_shift);
}
inline void prepare_block(const uint8_t * qs, const uint8_t * qh, const uint8_t * sign_bits) {
auto signs = vld1q_u8(sign_bits);
auto s = (const uint8_t *)&signs;
make4(sh, s + 0, qs+ 0, qh+0, hshift, bits.b1.val);
make4(sh, s + 8, qs+16, qh+2, hshift, bits.b2.val);
}
SignHelper sh;
const int16x8_t hshift = load_shift();
};
template <int nrc_y, typename Dequantizer>
IQK_NOINLINE void mul_mat_qX_K_q8_K_IQXXS(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
assert(n % QK_K == 0);
const int nb = n / QK_K;
Q8<nrc_y, block_q8_K> q8(info);
Dequantizer deq(vx, bx, nrc_y);
uint8x16_t qx[8];
int32x4_t sumi[nrc_y];
float32x4_t acc[nrc_y];
for (int ix = 0; ix < nrc_x; ++ix) {
deq.new_row(ix);
for (int iy = 0; iy < nrc_y; ++iy) acc[iy] = vdupq_n_f32(0.f);
for (int i = 0; i < nb; ++i) {
float d = deq.new_block(i);
auto scales = deq.unpack(i, 0, qx);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
sumi[iy] = vdupq_n_s32(0);
compute_8_blocks((const int8x16_t *)qx, q8, scales, iy, i, 0, sumi[iy]);
}
scales = deq.unpack(i, 1, qx);
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
compute_8_blocks((const int8x16_t *)qx, q8, scales, iy, i, 1, sumi[iy]);
acc[iy] = vmlaq_f32(acc[iy], vdupq_n_f32(d*q8.scale(iy, i)), vcvtq_f32_s32(sumi[iy]));
}
}
#pragma GCC unroll 8
for (int iy = 0; iy < nrc_y; ++iy) {
info.store(ix, iy, vaddvq_f32(acc[iy]));
}
}
}
// =========================================== Legacy quants
template <typename Block>
inline float16x4_t load_scales_q0(const Block * x, ggml_half * aux) {
for (int k = 0; k < 4; ++k) aux[k] = x[k].d;
return vld1_f16((const float16_t *)aux);
}
template <typename Block>
inline float16x8_t load_scales_q1(const Block * x, ggml_half * aux) {
if constexpr (std::is_same_v<Block, block_q8_1>) {
for (int k = 0; k < 4; ++k) { aux[k] = x[k].d; aux[k+4] = x[k].s; }
} else {
for (int k = 0; k < 4; ++k) { aux[k] = x[k].d; aux[k+4] = x[k].m; }
}
return vld1q_f16((const float16_t *)aux);
}
struct Q4LegacyBits {
template <typename Block>
inline void prepare(const Block * x) {
for (int i = 0; i < 4; ++i) {
auto q4bits = vld1q_u8(x[i].qs);
b[2*i+0] = vreinterpretq_s8_u8(vandq_u8(q4bits, m4b));
b[2*i+1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits, 4));
}
}
inline void prepare1(const uint8_t * qs, int8x16_t * q) const {
auto q4bits = vld1q_u8(qs);
q[0] = vreinterpretq_s8_u8(vandq_u8(q4bits, m4b));
q[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits, 4));
}
inline void prepare1(const uint8_t * qs) {
prepare1(qs, b);
}
const uint8x16_t m4b = vdupq_n_u8(0xf);
int8x16_t b[8];
};
// One would think this commented out version would do better than the one below
// because it offers more opportunities to execute instructions in parallel.
// Instead, it runs significantly slower. Why? If the compiler is running out of vector registers
// cannot it just do the sequential version below on its own?
//inline int32x4_t sum_4_blocks(const int8x16_t * b, const int8_t * qs) {
// const auto q8b_1 = vld1q_s8_x2(qs + 0);
// auto p12 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[0], q8b_1.val[0]), b[1], q8b_1.val[1]);
// const auto q8b_2 = vld1q_s8_x2(qs + 32);
// auto p34 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[2], q8b_2.val[0]), b[3], q8b_2.val[1]);
// auto p1234 = vpaddq_s32(p12, p34);
// const auto q8b_3 = vld1q_s8_x2(qs + 64);
// auto p56 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[4], q8b_3.val[0]), b[5], q8b_3.val[1]);
// const auto q8b_4 = vld1q_s8_x2(qs + 96);
// auto p78 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[6], q8b_4.val[0]), b[7], q8b_4.val[1]);
// return vpaddq_s32(p1234, vpaddq_s32(p56, p78));
//}
inline int32x4_t sum_4_blocks(const int8x16_t * b, const int8_t * qs) {
auto q8b = vld1q_s8_x2(qs + 0);
auto p12 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[0], q8b.val[0]), b[1], q8b.val[1]);
q8b = vld1q_s8_x2(qs + 32);
auto p34 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[2], q8b.val[0]), b[3], q8b.val[1]);
auto p1234 = vpaddq_s32(p12, p34);
q8b = vld1q_s8_x2(qs + 64);
auto p56 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[4], q8b.val[0]), b[5], q8b.val[1]);
q8b = vld1q_s8_x2(qs + 96);
auto p78 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), b[6], q8b.val[0]), b[7], q8b.val[1]);
return vpaddq_s32(p1234, vpaddq_s32(p56, p78));
}
template <int nrc> struct Q80 {
constexpr static int nrc_y = nrc;
Q80(const DataInfo& info) {
for (int iy = 0; iy < nrc_y; ++iy) y[iy] = (const block_q8_0 *)info.src1_row(iy);
}
inline const int8_t * quant_data(int iy, int i) const {
const block_q8_0_x4 * y4 = (const block_q8_0_x4 *)y[iy] + i;
return y4->qs;
}
inline float16x4_t load_scales(int iy, int i) const {
const block_q8_0_x4 * y4 = (const block_q8_0_x4 *)y[iy] + i;
return vld1_f16((const float16_t *)y4->d);
}
template <typename Dequantizer>
inline void process_scales(int i, Dequantizer& deq, float16x4_t * sc16, float32x4_t * /*acc*/) const {
auto qx_scales = deq.new_block(i);
for (int iy = 0; iy < nrc; ++iy) {
auto q8_scales = load_scales(iy, i);
sc16[iy] = vmul_f16(qx_scales, q8_scales);
}
}
template <typename Dequantizer>
inline void process_1_block(int i, Dequantizer& deq, float32x4_t * acc) const {
deq.prepare1(i);
float d = GGML_FP16_TO_FP32(deq.x[i].d);
for (int iy = 0; iy < nrc; ++iy) {
auto q8b = vld1q_s8_x2(y[iy][i].qs);
auto p = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), deq.bits.b[0], q8b.val[0]), deq.bits.b[1], q8b.val[1]);
acc[iy] = vmlaq_f32(acc[iy], vdupq_n_f32(d*GGML_FP16_TO_FP32(y[iy][i].d)), vcvtq_f32_s32(p));
}
}
const block_q8_0 * y[nrc_y];
};
template <int nrc> struct Q81 {
constexpr static int nrc_y = nrc;
Q81(const DataInfo& info) {
for (int iy = 0; iy < nrc_y; ++iy) y[iy] = (const block_q8_1 *)info.src1_row(iy);
}
inline const int8_t * quant_data(int iy, int i) const {
const block_q8_1_x4 * y4 = (const block_q8_1_x4 *)y[iy] + i;
return y4->qs;
}
inline float16x8_t load_scales(int iy, int i) const {
const block_q8_1_x4 * y4 = (const block_q8_1_x4 *)y[iy] + i;
return vld1q_f16((const float16_t *)y4->d);
}
template <typename Dequantizer>
inline void process_scales(int i, Dequantizer& deq, float16x4_t * sc16, float32x4_t * acc) const {
auto qx_scales = deq.new_block(i);
for (int iy = 0; iy < nrc; ++iy) {
auto q8_scales = load_scales(iy, i);
auto m = vmul_f16(vget_high_f16(qx_scales), vget_high_f16(q8_scales));
acc[iy] = vaddq_f32(acc[iy], vcvt_f32_f16(m));
sc16[iy] = vmul_f16(vget_low_f16(qx_scales), vget_low_f16(q8_scales));
}
}
template <typename Dequantizer>
inline void process_1_block(int i, Dequantizer& deq, float32x4_t * acc) const {
deq.prepare1(i);
float d = GGML_FP16_TO_FP32(deq.x[i].d), m = 0.25f*GGML_FP16_TO_FP32(deq.x[i].m);
for (int iy = 0; iy < nrc; ++iy) {
auto q8b = vld1q_s8_x2(y[iy][i].qs);
auto p = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), deq.bits.b[0], q8b.val[0]), deq.bits.b[1], q8b.val[1]);
acc[iy] = vmlaq_f32(acc[iy], vdupq_n_f32(d*GGML_FP16_TO_FP32(y[iy][i].d)), vcvtq_f32_s32(p));
acc[iy] = vaddq_f32(acc[iy], vdupq_n_f32(m*GGML_FP16_TO_FP32(y[iy][i].s)));
}
}
const block_q8_1 * y[nrc_y];
};
template <typename block_q>
struct BaseLegacyDequantizer {
BaseLegacyDequantizer(const void * vx, size_t bx) : vx(vx), x(nullptr), bx(bx) {}
inline void new_row(int ix) { x = (const block_q *)((const char *)vx + bx*ix); }
Q4LegacyBits bits;
const void * vx;
const block_q * x;
size_t bx;
};
struct DequantizerQ40 final : public BaseLegacyDequantizer<block_q4_0> {
DequantizerQ40(const void * vx, size_t bx) : BaseLegacyDequantizer(vx, bx) {}
inline void prepare1(int i, int8x16_t * q) const {
bits.prepare1(x[i].qs, q);
q[0] = vaddq_s8(q[0], m8);
q[1] = vaddq_s8(q[1], m8);
}
inline void prepare1(int i) {
prepare1(i, bits.b);
}
inline float16x4_t new_block(int i) {
ggml_half aux[4];
for (int k = 0; k < 4; ++k) {
aux[k] = x[4*i+k].d;
prepare1(4*i+k, bits.b + 2*k);
}
return vld1_f16((const float16_t *)aux);
}
const int8x16_t m8 = vdupq_n_s8(-8);
//ggml_half aux[4];
};
struct DequantizerQ41 : public BaseLegacyDequantizer<block_q4_1> {
DequantizerQ41(const void * vx, size_t bx) : BaseLegacyDequantizer(vx, bx) {}
inline void prepare1(int i) {
bits.prepare1(x[i].qs);
}
inline float16x8_t new_block(int i) {
uint32_t aux32[4];
const uint32_t * s32 = (const uint32_t *)&x[4*i].d;
for (int k = 0; k < 4; ++k) {
aux32[k] = *s32; s32 += sizeof(block_q4_1)/4;
bits.prepare1(x[4*i+k].qs, bits.b + 2*k);
}
return vreinterpretq_f16_u8(vqtbl1q_u8(vld1q_u8((const uint8_t *)aux32), vreinterpretq_u8_u64(shuffle)));
}
// Leaving this commented out attempt to be reminded that I already tried this.
// It has basically the same performance as the version above.
//inline float16x8_t new_block(int i) {
// uint32x4_t scales = {};
// const block_q4_1 * xi = x + 4*i;
// const uint32_t * s32 = (const uint32_t *)&xi->d;
// scales = vsetq_lane_u32(*s32, scales, 0); s32 += sizeof(block_q4_1)/4;
// bits.prepare1(xi[0].qs, bits.b + 0);
// scales = vsetq_lane_u32(*s32, scales, 1); s32 += sizeof(block_q4_1)/4;
// bits.prepare1(xi[1].qs, bits.b + 2);
// scales = vsetq_lane_u32(*s32, scales, 2); s32 += sizeof(block_q4_1)/4;
// bits.prepare1(xi[2].qs, bits.b + 4);
// scales = vsetq_lane_u32(*s32, scales, 3);
// bits.prepare1(xi[3].qs, bits.b + 6);
// return vreinterpretq_f16_u8(vqtbl1q_u8(vreinterpretq_u8_u32(scales), vreinterpretq_u8_u64(shuffle)));
//}
const uint64x2_t shuffle = {0x0d0c090805040100, 0x0f0e0b0a07060302};
};
struct HighBit5Legacy {
inline uint8x16_t to_bytes(const uint8_t * qh) const {
uint8x16_t h = vqtbl1q_u8(vreinterpretq_u8_u16(vdupq_n_u16(*(const uint16_t *)qh)), shuffle);
return vceqq_u8(vandq_u8(h, vreinterpretq_u8_u64(mask)), vreinterpretq_u8_u64(mask));
}
inline uint8x16_t to_negated_bytes(const uint8_t * qh) const {
uint8x16_t h = vqtbl1q_u8(vreinterpretq_u8_u16(vdupq_n_u16(*(const uint16_t *)qh)), shuffle);
return vceqq_u8(vandq_u8(h, vreinterpretq_u8_u64(mask)), vdupq_n_u8(0));
}
const uint64x2_t mask = vdupq_n_u64(0x8040201008040201);
const uint8x16_t shuffle = vcombine_u8(vdup_n_u8(0), vdup_n_u8(1));
};
struct DequantizerQ50 final : public BaseLegacyDequantizer<block_q5_0> {
DequantizerQ50(const void * vx, size_t bx) : BaseLegacyDequantizer(vx, bx) {}
inline void prepare1(int i, int8x16_t * q) const {
bits.prepare1(x[i].qs, q);
auto qh = x[i].qh;
q[0] = vreinterpretq_s8_u8(vorrq_u8(vreinterpretq_u8_s8(q[0]), vandq_u8(mh, hbits.to_negated_bytes(qh+0))));
q[1] = vreinterpretq_s8_u8(vorrq_u8(vreinterpretq_u8_s8(q[1]), vandq_u8(mh, hbits.to_negated_bytes(qh+2))));
}
inline void prepare1(int i) {
prepare1(i, bits.b);
}
inline float16x4_t new_block(int i) {
ggml_half aux[4];
for (int k = 0; k < 4; ++k) {
aux[k] = x[4*i+k].d;
prepare1(4*i+k, bits.b + 2*k);
}
return vld1_f16((const float16_t *)aux);
}
HighBit5Legacy hbits;
const uint8x16_t mh = vdupq_n_u8(0xf0);
};
struct DequantizerQ80 final : public BaseLegacyDequantizer<block_q8_0> {
DequantizerQ80(const void * vx, size_t bx) : BaseLegacyDequantizer(vx, bx) {}
inline void prepare1(int i) {
bits.b[0] = vld1q_s8(x[i].qs);
bits.b[1] = vld1q_s8(x[i].qs+16);
}
inline float16x4_t new_block(int i) {
ggml_half aux[4];
for (int k = 0; k < 4; ++k) {
aux[k] = x[4*i+k].d;
bits.b[2*k+0] = vld1q_s8(x[4*i+k].qs);
bits.b[2*k+1] = vld1q_s8(x[4*i+k].qs+16);
}
return vld1_f16((const float16_t *)aux);
}
};
struct DequantizerQ51 final : public BaseLegacyDequantizer<block_q5_1> {
DequantizerQ51(const void * vx, size_t bx) : BaseLegacyDequantizer(vx, bx) {}
inline void prepare1(int i, int8x16_t * q) const {
bits.prepare1(x[i].qs, q);
auto qh = x[i].qh;
q[0] = vreinterpretq_s8_u8(vorrq_u8(vreinterpretq_u8_s8(q[0]), vandq_u8(mh, hbits.to_bytes(qh+0))));
q[1] = vreinterpretq_s8_u8(vorrq_u8(vreinterpretq_u8_s8(q[1]), vandq_u8(mh, hbits.to_bytes(qh+2))));
}
inline void prepare1(int i) {
bits.prepare1(x[i].qs, bits.b);
}
inline float16x8_t new_block(int i) {
uint32_t aux32[4];
const uint32_t * s32 = (const uint32_t *)&x[4*i].d;
for (int k = 0; k < 4; ++k) {
aux32[k] = *s32; s32 += sizeof(block_q5_1)/4;
prepare1(4*i+k, bits.b + 2*k);
}
return vreinterpretq_f16_u8(vqtbl1q_u8(vld1q_u8((const uint8_t *)aux32), vreinterpretq_u8_u64(shuffle)));
}
HighBit5Legacy hbits;
const uint8x16_t mh = vdupq_n_u8(0x10);
const uint64x2_t shuffle = {0x0d0c090805040100, 0x0f0e0b0a07060302};
};
template <typename Dequantizer, typename Q8>
inline void sum_4(int i, Dequantizer& deq, const Q8& q8, const float16x4_t * sc16, float32x4_t * acc) {
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
auto pall = sum_4_blocks(deq.bits.b, q8.quant_data(iy, i));
auto scale = vcvt_f32_f16(sc16[iy]);
acc[iy] = vmlaq_f32(acc[iy], scale, vcvtq_f32_s32(pall));
}
}
template <typename Dequantizer, typename Q8>
inline void mul_mat_qX_Y_q8_Y(int n, Dequantizer& deq, Q8& q8, const DataInfo& info, int nrc_x) {
const int nb = n / QK4_1;
float16x4_t sc16[Q8::nrc_y];
for (int ix = 0; ix < nrc_x; ++ix) {
deq.new_row(ix);
float32x4_t acc[Q8::nrc_y];
for (int iy = 0; iy < Q8::nrc_y; ++iy) acc[iy] = vdupq_n_f32(0.f);
for (int i = 0; i < nb/4; ++i) {
q8.process_scales(i, deq, sc16, acc);
sum_4(i, deq, q8, sc16, acc);
}
for (int i = 4*(nb/4); i < nb; ++i) {
q8.process_1_block(i, deq, acc);
}
for (int iy = 0; iy < Q8::nrc_y; ++iy) {
info.store(ix, iy, vaddvq_f32(acc[iy]));
}
}
}
template <typename Dequantizer, typename Q8>
inline void mul_mat_qX_Y_q8_Y_1(int n, Dequantizer& deq1, Dequantizer& deq2, Q8& q8, const DataInfo& info, int nrc_x) {
const int nb = n / QK4_1;
float16x4_t sc16[2];
for (int ix = 0; ix < nrc_x; ++ix) {
deq1.new_row(ix);
deq2.new_row(ix);
float32x4_t acc[2] = { vdupq_n_f32(0.f), vdupq_n_f32(0.f) };
for (int i = 0; i < nb/8; ++i) {
q8.process_scales(2*i+0, deq1, sc16+0, acc+0);
q8.process_scales(2*i+1, deq2, sc16+1, acc+1);
sum_4(2*i+0, deq1, q8, sc16+0, acc+0);
sum_4(2*i+1, deq2, q8, sc16+1, acc+1);
}
for (int i = 2*(nb/8); i < nb/4; ++i) {
q8.process_scales(i, deq1, sc16, acc);
sum_4(i, deq1, q8, sc16, acc);
}
for (int i = 4*(nb/4); i < nb; ++i) {
q8.process_1_block(i, deq1, acc);
}
info.store(ix, 0, vaddvq_f32(vaddq_f32(acc[0], acc[1])));
}
}
template <typename Dequantizer, int nrc_y>
static void IQK_NOINLINE mul_mat_qX_1_q8_1(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
Q81<nrc_y> q8(info);
if constexpr (nrc_y == 1) {
Dequantizer deq1(vx, bx), deq2(vx, bx);
mul_mat_qX_Y_q8_Y_1(n, deq1, deq2, q8, info, nrc_x);
} else {
Dequantizer deq(vx, bx);
mul_mat_qX_Y_q8_Y(n, deq, q8, info, nrc_x);
}
}
template <typename Dequantizer, int nrc_y>
static void IQK_NOINLINE mul_mat_qX_0_q8_0(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
Q80<nrc_y> q8(info);
if constexpr (nrc_y == 1) {
Dequantizer deq1(vx, bx), deq2(vx, bx);
mul_mat_qX_Y_q8_Y_1(n, deq1, deq2, q8, info, nrc_x);
} else {
Dequantizer deq(vx, bx);
mul_mat_qX_Y_q8_Y(n, deq, q8, info, nrc_x);
}
}
template <typename Dequantizer>
static void IQK_NOINLINE mul_mat_qX_1_q8_1_1(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
Dequantizer deq1(vx, bx), deq2(vx, bx);
Q81<1> q8(info);
mul_mat_qX_Y_q8_Y_1(n, deq1, deq2, q8, info, nrc_x);
}
template <typename Dequantizer>
static void IQK_NOINLINE mul_mat_qX_0_q8_0_1(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
Dequantizer deq1(vx, bx), deq2(vx, bx);
Q80<1> q8(info);
mul_mat_qX_Y_q8_Y(n, deq1, deq2, q8, info, nrc_x);
}
template <typename Dequantizer> void MulMat::set_functions(MulMat& m) {
if constexpr (std::is_same_v<Dequantizer, DequantizerQ40> || std::is_same_v<Dequantizer, DequantizerQ50> ||
std::is_same_v<Dequantizer, DequantizerQ80>) {
m.funcs[0] = mul_mat_qX_0_q8_0<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_0_q8_0<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_0_q8_0<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_0_q8_0<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_0_q8_0<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_0_q8_0<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_0_q8_0<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_0_q8_0<Dequantizer, 8>;
}
else if constexpr (std::is_same_v<Dequantizer, DequantizerQ41> || std::is_same_v<Dequantizer, DequantizerQ51>) {
m.funcs[0] = mul_mat_qX_1_q8_1<Dequantizer, 1>;
m.funcs[1] = mul_mat_qX_1_q8_1<Dequantizer, 2>;
m.funcs[2] = mul_mat_qX_1_q8_1<Dequantizer, 3>;
m.funcs[3] = mul_mat_qX_1_q8_1<Dequantizer, 4>;
m.funcs[4] = mul_mat_qX_1_q8_1<Dequantizer, 5>;
m.funcs[5] = mul_mat_qX_1_q8_1<Dequantizer, 6>;
m.funcs[6] = mul_mat_qX_1_q8_1<Dequantizer, 7>;
m.funcs[7] = mul_mat_qX_1_q8_1<Dequantizer, 8>;
}
else if constexpr (std::is_same_v<Dequantizer, DequantizerIQ2XXS> || std::is_same_v<Dequantizer, DequantizerIQ3XXS>) {
m.funcs[0] = mul_mat_qX_K_q8_K_IQXXS<1, Dequantizer>;
m.funcs[1] = mul_mat_qX_K_q8_K_IQXXS<2, Dequantizer>;
m.funcs[2] = mul_mat_qX_K_q8_K_IQXXS<3, Dequantizer>;
m.funcs[3] = mul_mat_qX_K_q8_K_IQXXS<4, Dequantizer>;
m.funcs[4] = mul_mat_qX_K_q8_K_IQXXS<5, Dequantizer>;
m.funcs[5] = mul_mat_qX_K_q8_K_IQXXS<6, Dequantizer>;
m.funcs[6] = mul_mat_qX_K_q8_K_IQXXS<7, Dequantizer>;
m.funcs[7] = mul_mat_qX_K_q8_K_IQXXS<8, Dequantizer>;
}
else if constexpr (std::is_same_v<Dequantizer, DequantizerIQ2S> ||
std::is_same_v<Dequantizer, DequantizerIQ3S> ||
std::is_same_v<Dequantizer, DequantizerIQ2XS>) {
m.funcs[0] = mul_mat_qX_K_q8_K_IQ<1, Dequantizer>;
m.funcs[1] = mul_mat_qX_K_q8_K_IQ<2, Dequantizer>;
m.funcs[2] = mul_mat_qX_K_q8_K_IQ<3, Dequantizer>;
m.funcs[3] = mul_mat_qX_K_q8_K_IQ<4, Dequantizer>;
m.funcs[4] = mul_mat_qX_K_q8_K_IQ<5, Dequantizer>;
m.funcs[5] = mul_mat_qX_K_q8_K_IQ<6, Dequantizer>;
m.funcs[6] = mul_mat_qX_K_q8_K_IQ<7, Dequantizer>;
m.funcs[7] = mul_mat_qX_K_q8_K_IQ<8, Dequantizer>;
}
else {
m.funcs[0] = mul_mat_qX_K_q8_K_T<1, Dequantizer>;
m.funcs[1] = mul_mat_qX_K_q8_K_T<2, Dequantizer>;
m.funcs[2] = mul_mat_qX_K_q8_K_T<3, Dequantizer>;
m.funcs[3] = mul_mat_qX_K_q8_K_T<4, Dequantizer>;
m.funcs[4] = mul_mat_qX_K_q8_K_T<5, Dequantizer>;
m.funcs[5] = mul_mat_qX_K_q8_K_T<6, Dequantizer>;
m.funcs[6] = mul_mat_qX_K_q8_K_T<7, Dequantizer>;
m.funcs[7] = mul_mat_qX_K_q8_K_T<8, Dequantizer>;
}
}
bool MulMat::set_mul_mat(int typeA, int ne00, MulMat& m, int& row_size_q8, int Ny) {
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_K, ne00);
(void)Ny;
// Uncommenting out this would disable iqk_mul_mat for matrix x vector multiplications.
//if (Ny == 1 && (typeA == GGML_TYPE_IQ2_XXS || typeA == GGML_TYPE_IQ2_XS || typeA == GGML_TYPE_IQ2_S ||
// typeA == GGML_TYPE_IQ3_XXS || typeA == GGML_TYPE_IQ3_S)) return false;
switch (typeA) {
case GGML_TYPE_Q2_K:
MulMat::set_functions<DequantizerQ2K>(m);
break;
case GGML_TYPE_Q3_K:
MulMat::set_functions<DequantizerQ3K>(m);
break;
case GGML_TYPE_Q4_K:
MulMat::set_functions<DequantizerQ4K>(m);
break;
case GGML_TYPE_Q5_K:
MulMat::set_functions<DequantizerQ5K>(m);
break;
case GGML_TYPE_Q6_K:
MulMat::set_functions<DequantizerQ6K>(m);
break;
case GGML_TYPE_IQ4_XS:
MulMat::set_functions<DequantizerIQ4XS>(m);
break;
case GGML_TYPE_IQ3_S:
MulMat::set_functions<DequantizerIQ3S>(m);
break;
case GGML_TYPE_IQ3_XXS:
MulMat::set_functions<DequantizerIQ3XXS>(m);
break;
case GGML_TYPE_IQ2_S:
MulMat::set_functions<DequantizerIQ2S>(m);
break;
case GGML_TYPE_IQ2_XS:
MulMat::set_functions<DequantizerIQ2XS>(m);
break;
case GGML_TYPE_IQ2_XXS:
MulMat::set_functions<DequantizerIQ2XXS>(m);
break;
case GGML_TYPE_Q4_0:
MulMat::set_functions<DequantizerQ40>(m);
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_0, ne00);
break;
case GGML_TYPE_Q4_1:
MulMat::set_functions<DequantizerQ41>(m);
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_1, ne00);
break;
case GGML_TYPE_Q5_0:
MulMat::set_functions<DequantizerQ50>(m);
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_0, ne00);
break;
case GGML_TYPE_Q5_1:
MulMat::set_functions<DequantizerQ51>(m);
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_1, ne00);
break;
case GGML_TYPE_Q8_0:
MulMat::set_functions<DequantizerQ80>(m);
row_size_q8 = ggml_row_size(GGML_TYPE_Q8_0, ne00);
break;
default:
return false;
}
return true;
}
}
#endif // __x86_64__ or __aarch64__
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