mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-26 03:14:35 +00:00
8cc91dc63c
This change upstreams llamafile's cpu matrix multiplication kernels which improve image and prompt evaluation speed. For starters, Q4_0 and Q8_0 weights should go ~40% faster on CPU. The biggest benefits are with data types like f16 / f32, which process prompts 2x faster thus making them faster than quantized data types for prompt evals. This change also introduces bona fide AVX512 support since tinyBLAS is able to exploit the larger register file. For example, on my CPU llama.cpp llava-cli processes an image prompt at 305 tokens/second, using the Q4_K and Q4_0 types, which has always been faster than if we used f16 LLaVA weights, which at HEAD go 188 tokens/second. With this change, f16 LLaVA performance leap frogs to 464 tokens/second. On Intel Core i9-14900K this change improves F16 prompt perf by 5x. For example, using llama.cpp at HEAD with Mistral 7b f16 to process a 215 token prompt will go 13 tok/sec. This change has fixes making it go 52 tok/sec. It's mostly thanks to my vectorized outer product kernels but also because I added support for correctly counting the number of cores on Alderlake, so the default thread count discounts Intel's new efficiency cores. Only Linux right now can count cores. This work was sponsored by Mozilla who's given permission to change the license of this code from Apache 2.0 to MIT. To read more about what's improved, and how it works, see: https://justine.lol/matmul/
12679 lines
514 KiB
C
12679 lines
514 KiB
C
#define GGML_COMMON_IMPL_C
|
|
#include "ggml-common.h"
|
|
|
|
#include "ggml-quants.h"
|
|
#include "ggml-impl.h"
|
|
|
|
#define GGML_COMMON_IMPL_C
|
|
#include "ggml-common.h"
|
|
|
|
#include <math.h>
|
|
#include <string.h>
|
|
#include <assert.h>
|
|
#include <float.h>
|
|
#include <stdlib.h> // for qsort
|
|
#include <stdio.h> // for GGML_ASSERT
|
|
|
|
#ifdef __ARM_NEON
|
|
|
|
// if YCM cannot find <arm_neon.h>, make a symbolic link to it, for example:
|
|
//
|
|
// $ ln -sfn /Library/Developer/CommandLineTools/usr/lib/clang/13.1.6/include/arm_neon.h ./src/
|
|
//
|
|
#include <arm_neon.h>
|
|
|
|
#else
|
|
|
|
#ifdef __wasm_simd128__
|
|
#include <wasm_simd128.h>
|
|
#else
|
|
#if defined(__POWER9_VECTOR__) || defined(__powerpc64__)
|
|
#include <altivec.h>
|
|
#undef bool
|
|
#define bool _Bool
|
|
#else
|
|
#if defined(_MSC_VER) || defined(__MINGW32__)
|
|
#include <intrin.h>
|
|
#else
|
|
#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__) || defined(__SSE3__)
|
|
#if !defined(__riscv)
|
|
#include <immintrin.h>
|
|
#endif
|
|
#endif
|
|
#endif
|
|
#endif
|
|
#endif
|
|
#endif
|
|
|
|
#ifdef __riscv_v_intrinsic
|
|
#include <riscv_vector.h>
|
|
#endif
|
|
|
|
#undef MIN
|
|
#undef MAX
|
|
|
|
#define MIN(a, b) ((a) < (b) ? (a) : (b))
|
|
#define MAX(a, b) ((a) > (b) ? (a) : (b))
|
|
|
|
#define UNUSED GGML_UNUSED
|
|
|
|
// some compilers don't provide _mm256_set_m128i, e.g. gcc 7
|
|
#define MM256_SET_M128I(a, b) _mm256_insertf128_si256(_mm256_castsi128_si256(b), (a), 1)
|
|
|
|
#if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__)
|
|
// multiply int8_t, add results pairwise twice
|
|
static inline __m128i mul_sum_i8_pairs(const __m128i x, const __m128i y) {
|
|
// Get absolute values of x vectors
|
|
const __m128i ax = _mm_sign_epi8(x, x);
|
|
// Sign the values of the y vectors
|
|
const __m128i sy = _mm_sign_epi8(y, x);
|
|
// Perform multiplication and create 16-bit values
|
|
const __m128i dot = _mm_maddubs_epi16(ax, sy);
|
|
const __m128i ones = _mm_set1_epi16(1);
|
|
return _mm_madd_epi16(ones, dot);
|
|
}
|
|
|
|
#if __AVX__ || __AVX2__ || __AVX512F__
|
|
// horizontally add 8 floats
|
|
static inline float hsum_float_8(const __m256 x) {
|
|
__m128 res = _mm256_extractf128_ps(x, 1);
|
|
res = _mm_add_ps(res, _mm256_castps256_ps128(x));
|
|
res = _mm_add_ps(res, _mm_movehl_ps(res, res));
|
|
res = _mm_add_ss(res, _mm_movehdup_ps(res));
|
|
return _mm_cvtss_f32(res);
|
|
}
|
|
|
|
// horizontally add 8 int32_t
|
|
static inline int hsum_i32_8(const __m256i a) {
|
|
const __m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(a), _mm256_extractf128_si256(a, 1));
|
|
const __m128i hi64 = _mm_unpackhi_epi64(sum128, sum128);
|
|
const __m128i sum64 = _mm_add_epi32(hi64, sum128);
|
|
const __m128i hi32 = _mm_shuffle_epi32(sum64, _MM_SHUFFLE(2, 3, 0, 1));
|
|
return _mm_cvtsi128_si32(_mm_add_epi32(sum64, hi32));
|
|
}
|
|
|
|
// horizontally add 4 int32_t
|
|
static inline int hsum_i32_4(const __m128i a) {
|
|
const __m128i hi64 = _mm_unpackhi_epi64(a, a);
|
|
const __m128i sum64 = _mm_add_epi32(hi64, a);
|
|
const __m128i hi32 = _mm_shuffle_epi32(sum64, _MM_SHUFFLE(2, 3, 0, 1));
|
|
return _mm_cvtsi128_si32(_mm_add_epi32(sum64, hi32));
|
|
}
|
|
|
|
#if defined(__AVX2__) || defined(__AVX512F__)
|
|
// spread 32 bits to 32 bytes { 0x00, 0xFF }
|
|
static inline __m256i bytes_from_bits_32(const uint8_t * x) {
|
|
uint32_t x32;
|
|
memcpy(&x32, x, sizeof(uint32_t));
|
|
const __m256i shuf_mask = _mm256_set_epi64x(
|
|
0x0303030303030303, 0x0202020202020202,
|
|
0x0101010101010101, 0x0000000000000000);
|
|
__m256i bytes = _mm256_shuffle_epi8(_mm256_set1_epi32(x32), shuf_mask);
|
|
const __m256i bit_mask = _mm256_set1_epi64x(0x7fbfdfeff7fbfdfe);
|
|
bytes = _mm256_or_si256(bytes, bit_mask);
|
|
return _mm256_cmpeq_epi8(bytes, _mm256_set1_epi64x(-1));
|
|
}
|
|
|
|
// Unpack 32 4-bit fields into 32 bytes
|
|
// The output vector contains 32 bytes, each one in [ 0 .. 15 ] interval
|
|
static inline __m256i bytes_from_nibbles_32(const uint8_t * rsi)
|
|
{
|
|
const __m128i tmp = _mm_loadu_si128((const __m128i *)rsi);
|
|
const __m256i bytes = MM256_SET_M128I(_mm_srli_epi16(tmp, 4), tmp);
|
|
const __m256i lowMask = _mm256_set1_epi8( 0xF );
|
|
return _mm256_and_si256(lowMask, bytes);
|
|
}
|
|
|
|
// add int16_t pairwise and return as float vector
|
|
static inline __m256 sum_i16_pairs_float(const __m256i x) {
|
|
const __m256i ones = _mm256_set1_epi16(1);
|
|
const __m256i summed_pairs = _mm256_madd_epi16(ones, x);
|
|
return _mm256_cvtepi32_ps(summed_pairs);
|
|
}
|
|
|
|
static inline __m256 mul_sum_us8_pairs_float(const __m256i ax, const __m256i sy) {
|
|
#if defined(__AVXVNNI__) || (defined(__AVX512VNNI__) && defined(__AVX512VL__))
|
|
const __m256i zero = _mm256_setzero_si256();
|
|
const __m256i summed_pairs = _mm256_dpbusd_epi32(zero, ax, sy);
|
|
return _mm256_cvtepi32_ps(summed_pairs);
|
|
#else
|
|
// Perform multiplication and create 16-bit values
|
|
const __m256i dot = _mm256_maddubs_epi16(ax, sy);
|
|
return sum_i16_pairs_float(dot);
|
|
#endif
|
|
}
|
|
|
|
// multiply int8_t, add results pairwise twice and return as float vector
|
|
static inline __m256 mul_sum_i8_pairs_float(const __m256i x, const __m256i y) {
|
|
#if __AVXVNNIINT8__
|
|
const __m256i zero = _mm256_setzero_si256();
|
|
const __m256i summed_pairs = _mm256_dpbssd_epi32(zero, x, y);
|
|
return _mm256_cvtepi32_ps(summed_pairs);
|
|
#else
|
|
// Get absolute values of x vectors
|
|
const __m256i ax = _mm256_sign_epi8(x, x);
|
|
// Sign the values of the y vectors
|
|
const __m256i sy = _mm256_sign_epi8(y, x);
|
|
return mul_sum_us8_pairs_float(ax, sy);
|
|
#endif
|
|
}
|
|
|
|
static inline __m128i packNibbles( __m256i bytes )
|
|
{
|
|
// Move bits within 16-bit lanes from 0000_abcd_0000_efgh into 0000_0000_abcd_efgh
|
|
#if __AVX512F__
|
|
const __m256i bytes_srli_4 = _mm256_srli_epi16(bytes, 4); // 0000_0000_abcd_0000
|
|
bytes = _mm256_or_si256(bytes, bytes_srli_4); // 0000_abcd_abcd_efgh
|
|
return _mm256_cvtepi16_epi8(bytes); // abcd_efgh
|
|
#else
|
|
const __m256i lowByte = _mm256_set1_epi16( 0xFF );
|
|
__m256i high = _mm256_andnot_si256( lowByte, bytes );
|
|
__m256i low = _mm256_and_si256( lowByte, bytes );
|
|
high = _mm256_srli_epi16( high, 4 );
|
|
bytes = _mm256_or_si256( low, high );
|
|
|
|
// Compress uint16_t lanes into bytes
|
|
__m128i r0 = _mm256_castsi256_si128( bytes );
|
|
__m128i r1 = _mm256_extracti128_si256( bytes, 1 );
|
|
return _mm_packus_epi16( r0, r1 );
|
|
#endif
|
|
}
|
|
#elif defined(__AVX__)
|
|
// spread 32 bits to 32 bytes { 0x00, 0xFF }
|
|
static inline __m256i bytes_from_bits_32(const uint8_t * x) {
|
|
uint32_t x32;
|
|
memcpy(&x32, x, sizeof(uint32_t));
|
|
const __m128i shuf_maskl = _mm_set_epi64x(0x0101010101010101, 0x0000000000000000);
|
|
const __m128i shuf_maskh = _mm_set_epi64x(0x0303030303030303, 0x0202020202020202);
|
|
__m128i bytesl = _mm_shuffle_epi8(_mm_set1_epi32(x32), shuf_maskl);
|
|
__m128i bytesh = _mm_shuffle_epi8(_mm_set1_epi32(x32), shuf_maskh);
|
|
const __m128i bit_mask = _mm_set1_epi64x(0x7fbfdfeff7fbfdfe);
|
|
bytesl = _mm_or_si128(bytesl, bit_mask);
|
|
bytesh = _mm_or_si128(bytesh, bit_mask);
|
|
bytesl = _mm_cmpeq_epi8(bytesl, _mm_set1_epi64x(-1));
|
|
bytesh = _mm_cmpeq_epi8(bytesh, _mm_set1_epi64x(-1));
|
|
return MM256_SET_M128I(bytesh, bytesl);
|
|
}
|
|
|
|
// Unpack 32 4-bit fields into 32 bytes
|
|
// The output vector contains 32 bytes, each one in [ 0 .. 15 ] interval
|
|
static inline __m256i bytes_from_nibbles_32(const uint8_t * rsi)
|
|
{
|
|
// Load 16 bytes from memory
|
|
__m128i tmpl = _mm_loadu_si128((const __m128i *)rsi);
|
|
__m128i tmph = _mm_srli_epi16(tmpl, 4);
|
|
const __m128i lowMask = _mm_set1_epi8(0xF);
|
|
tmpl = _mm_and_si128(lowMask, tmpl);
|
|
tmph = _mm_and_si128(lowMask, tmph);
|
|
return MM256_SET_M128I(tmph, tmpl);
|
|
}
|
|
|
|
// add int16_t pairwise and return as float vector
|
|
static inline __m256 sum_i16_pairs_float(const __m128i xh, const __m128i xl) {
|
|
const __m128i ones = _mm_set1_epi16(1);
|
|
const __m128i summed_pairsl = _mm_madd_epi16(ones, xl);
|
|
const __m128i summed_pairsh = _mm_madd_epi16(ones, xh);
|
|
const __m256i summed_pairs = MM256_SET_M128I(summed_pairsh, summed_pairsl);
|
|
return _mm256_cvtepi32_ps(summed_pairs);
|
|
}
|
|
|
|
static inline __m256 mul_sum_us8_pairs_float(const __m256i ax, const __m256i sy) {
|
|
const __m128i axl = _mm256_castsi256_si128(ax);
|
|
const __m128i axh = _mm256_extractf128_si256(ax, 1);
|
|
const __m128i syl = _mm256_castsi256_si128(sy);
|
|
const __m128i syh = _mm256_extractf128_si256(sy, 1);
|
|
// Perform multiplication and create 16-bit values
|
|
const __m128i dotl = _mm_maddubs_epi16(axl, syl);
|
|
const __m128i doth = _mm_maddubs_epi16(axh, syh);
|
|
return sum_i16_pairs_float(doth, dotl);
|
|
}
|
|
|
|
// multiply int8_t, add results pairwise twice and return as float vector
|
|
static inline __m256 mul_sum_i8_pairs_float(const __m256i x, const __m256i y) {
|
|
const __m128i xl = _mm256_castsi256_si128(x);
|
|
const __m128i xh = _mm256_extractf128_si256(x, 1);
|
|
const __m128i yl = _mm256_castsi256_si128(y);
|
|
const __m128i yh = _mm256_extractf128_si256(y, 1);
|
|
// Get absolute values of x vectors
|
|
const __m128i axl = _mm_sign_epi8(xl, xl);
|
|
const __m128i axh = _mm_sign_epi8(xh, xh);
|
|
// Sign the values of the y vectors
|
|
const __m128i syl = _mm_sign_epi8(yl, xl);
|
|
const __m128i syh = _mm_sign_epi8(yh, xh);
|
|
// Perform multiplication and create 16-bit values
|
|
const __m128i dotl = _mm_maddubs_epi16(axl, syl);
|
|
const __m128i doth = _mm_maddubs_epi16(axh, syh);
|
|
return sum_i16_pairs_float(doth, dotl);
|
|
}
|
|
|
|
static inline __m128i packNibbles( __m128i bytes1, __m128i bytes2 )
|
|
{
|
|
// Move bits within 16-bit lanes from 0000_abcd_0000_efgh into 0000_0000_abcd_efgh
|
|
const __m128i lowByte = _mm_set1_epi16( 0xFF );
|
|
__m128i high = _mm_andnot_si128( lowByte, bytes1 );
|
|
__m128i low = _mm_and_si128( lowByte, bytes1 );
|
|
high = _mm_srli_epi16( high, 4 );
|
|
bytes1 = _mm_or_si128( low, high );
|
|
high = _mm_andnot_si128( lowByte, bytes2 );
|
|
low = _mm_and_si128( lowByte, bytes2 );
|
|
high = _mm_srli_epi16( high, 4 );
|
|
bytes2 = _mm_or_si128( low, high );
|
|
|
|
return _mm_packus_epi16( bytes1, bytes2);
|
|
}
|
|
#endif
|
|
#elif defined(__SSSE3__)
|
|
// horizontally add 4x4 floats
|
|
static inline float hsum_float_4x4(const __m128 a, const __m128 b, const __m128 c, const __m128 d) {
|
|
__m128 res_0 =_mm_hadd_ps(a, b);
|
|
__m128 res_1 =_mm_hadd_ps(c, d);
|
|
__m128 res =_mm_hadd_ps(res_0, res_1);
|
|
res =_mm_hadd_ps(res, res);
|
|
res =_mm_hadd_ps(res, res);
|
|
|
|
return _mm_cvtss_f32(res);
|
|
}
|
|
#endif // __AVX__ || __AVX2__ || __AVX512F__
|
|
#endif // defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__)
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
#ifdef _MSC_VER
|
|
|
|
#define ggml_vld1q_u32(w,x,y,z) { ((w) + ((uint64_t)(x) << 32)), ((y) + ((uint64_t)(z) << 32)) }
|
|
|
|
#else
|
|
|
|
#define ggml_vld1q_u32(w,x,y,z) { (w), (x), (y), (z) }
|
|
|
|
#endif
|
|
|
|
#if !defined(__aarch64__)
|
|
|
|
// 64-bit compatibility
|
|
|
|
// vaddvq_s16
|
|
// vpaddq_s16
|
|
// vpaddq_s32
|
|
// vaddvq_s32
|
|
// vaddvq_f32
|
|
// vmaxvq_f32
|
|
// vcvtnq_s32_f32
|
|
// vzip1_u8
|
|
// vzip2_u8
|
|
|
|
inline static int32_t vaddvq_s16(int16x8_t v) {
|
|
return
|
|
(int32_t)vgetq_lane_s16(v, 0) + (int32_t)vgetq_lane_s16(v, 1) +
|
|
(int32_t)vgetq_lane_s16(v, 2) + (int32_t)vgetq_lane_s16(v, 3) +
|
|
(int32_t)vgetq_lane_s16(v, 4) + (int32_t)vgetq_lane_s16(v, 5) +
|
|
(int32_t)vgetq_lane_s16(v, 6) + (int32_t)vgetq_lane_s16(v, 7);
|
|
}
|
|
|
|
inline static int16x8_t vpaddq_s16(int16x8_t a, int16x8_t b) {
|
|
int16x4_t a0 = vpadd_s16(vget_low_s16(a), vget_high_s16(a));
|
|
int16x4_t b0 = vpadd_s16(vget_low_s16(b), vget_high_s16(b));
|
|
return vcombine_s16(a0, b0);
|
|
}
|
|
|
|
inline static int32x4_t vpaddq_s32(int32x4_t a, int32x4_t b) {
|
|
int32x2_t a0 = vpadd_s32(vget_low_s32(a), vget_high_s32(a));
|
|
int32x2_t b0 = vpadd_s32(vget_low_s32(b), vget_high_s32(b));
|
|
return vcombine_s32(a0, b0);
|
|
}
|
|
|
|
inline static int32_t vaddvq_s32(int32x4_t v) {
|
|
return vgetq_lane_s32(v, 0) + vgetq_lane_s32(v, 1) + vgetq_lane_s32(v, 2) + vgetq_lane_s32(v, 3);
|
|
}
|
|
|
|
inline static float vaddvq_f32(float32x4_t v) {
|
|
return vgetq_lane_f32(v, 0) + vgetq_lane_f32(v, 1) + vgetq_lane_f32(v, 2) + vgetq_lane_f32(v, 3);
|
|
}
|
|
|
|
inline static float vmaxvq_f32(float32x4_t v) {
|
|
return
|
|
MAX(MAX(vgetq_lane_f32(v, 0), vgetq_lane_f32(v, 1)),
|
|
MAX(vgetq_lane_f32(v, 2), vgetq_lane_f32(v, 3)));
|
|
}
|
|
|
|
inline static int32x4_t vcvtnq_s32_f32(float32x4_t v) {
|
|
int32x4_t res;
|
|
|
|
res[0] = roundf(vgetq_lane_f32(v, 0));
|
|
res[1] = roundf(vgetq_lane_f32(v, 1));
|
|
res[2] = roundf(vgetq_lane_f32(v, 2));
|
|
res[3] = roundf(vgetq_lane_f32(v, 3));
|
|
|
|
return res;
|
|
}
|
|
|
|
inline static uint8x8_t vzip1_u8(uint8x8_t a, uint8x8_t b) {
|
|
uint8x8_t res;
|
|
|
|
res[0] = a[0]; res[1] = b[0];
|
|
res[2] = a[1]; res[3] = b[1];
|
|
res[4] = a[2]; res[5] = b[2];
|
|
res[6] = a[3]; res[7] = b[3];
|
|
|
|
return res;
|
|
}
|
|
|
|
inline static uint8x8_t vzip2_u8(uint8x8_t a, uint8x8_t b) {
|
|
uint8x8_t res;
|
|
|
|
res[0] = a[4]; res[1] = b[4];
|
|
res[2] = a[5]; res[3] = b[5];
|
|
res[4] = a[6]; res[5] = b[6];
|
|
res[6] = a[7]; res[7] = b[7];
|
|
|
|
return res;
|
|
}
|
|
|
|
// vld1q_s16_x2
|
|
// vld1q_u8_x2
|
|
// vld1q_u8_x4
|
|
// vld1q_s8_x2
|
|
// vld1q_s8_x4
|
|
// TODO: double-check these work correctly
|
|
|
|
typedef struct ggml_int16x8x2_t {
|
|
int16x8_t val[2];
|
|
} ggml_int16x8x2_t;
|
|
|
|
inline static ggml_int16x8x2_t ggml_vld1q_s16_x2(const int16_t * ptr) {
|
|
ggml_int16x8x2_t res;
|
|
|
|
res.val[0] = vld1q_s16(ptr + 0);
|
|
res.val[1] = vld1q_s16(ptr + 8);
|
|
|
|
return res;
|
|
}
|
|
|
|
typedef struct ggml_uint8x16x2_t {
|
|
uint8x16_t val[2];
|
|
} ggml_uint8x16x2_t;
|
|
|
|
inline static ggml_uint8x16x2_t ggml_vld1q_u8_x2(const uint8_t * ptr) {
|
|
ggml_uint8x16x2_t res;
|
|
|
|
res.val[0] = vld1q_u8(ptr + 0);
|
|
res.val[1] = vld1q_u8(ptr + 16);
|
|
|
|
return res;
|
|
}
|
|
|
|
typedef struct ggml_uint8x16x4_t {
|
|
uint8x16_t val[4];
|
|
} ggml_uint8x16x4_t;
|
|
|
|
inline static ggml_uint8x16x4_t ggml_vld1q_u8_x4(const uint8_t * ptr) {
|
|
ggml_uint8x16x4_t res;
|
|
|
|
res.val[0] = vld1q_u8(ptr + 0);
|
|
res.val[1] = vld1q_u8(ptr + 16);
|
|
res.val[2] = vld1q_u8(ptr + 32);
|
|
res.val[3] = vld1q_u8(ptr + 48);
|
|
|
|
return res;
|
|
}
|
|
|
|
typedef struct ggml_int8x16x2_t {
|
|
int8x16_t val[2];
|
|
} ggml_int8x16x2_t;
|
|
|
|
inline static ggml_int8x16x2_t ggml_vld1q_s8_x2(const int8_t * ptr) {
|
|
ggml_int8x16x2_t res;
|
|
|
|
res.val[0] = vld1q_s8(ptr + 0);
|
|
res.val[1] = vld1q_s8(ptr + 16);
|
|
|
|
return res;
|
|
}
|
|
|
|
typedef struct ggml_int8x16x4_t {
|
|
int8x16_t val[4];
|
|
} ggml_int8x16x4_t;
|
|
|
|
inline static ggml_int8x16x4_t ggml_vld1q_s8_x4(const int8_t * ptr) {
|
|
ggml_int8x16x4_t res;
|
|
|
|
res.val[0] = vld1q_s8(ptr + 0);
|
|
res.val[1] = vld1q_s8(ptr + 16);
|
|
res.val[2] = vld1q_s8(ptr + 32);
|
|
res.val[3] = vld1q_s8(ptr + 48);
|
|
|
|
return res;
|
|
}
|
|
|
|
// NOTE: not tested
|
|
inline static int8x16_t ggml_vqtbl1q_s8(int8x16_t a, uint8x16_t b) {
|
|
int8x16_t res;
|
|
|
|
res[ 0] = a[b[ 0]];
|
|
res[ 1] = a[b[ 1]];
|
|
res[ 2] = a[b[ 2]];
|
|
res[ 3] = a[b[ 3]];
|
|
res[ 4] = a[b[ 4]];
|
|
res[ 5] = a[b[ 5]];
|
|
res[ 6] = a[b[ 6]];
|
|
res[ 7] = a[b[ 7]];
|
|
res[ 8] = a[b[ 8]];
|
|
res[ 9] = a[b[ 9]];
|
|
res[10] = a[b[10]];
|
|
res[11] = a[b[11]];
|
|
res[12] = a[b[12]];
|
|
res[13] = a[b[13]];
|
|
res[14] = a[b[14]];
|
|
res[15] = a[b[15]];
|
|
|
|
return res;
|
|
}
|
|
|
|
// NOTE: not tested
|
|
inline static uint8x16_t ggml_vqtbl1q_u8(uint8x16_t a, uint8x16_t b) {
|
|
uint8x16_t res;
|
|
|
|
res[ 0] = a[b[ 0]];
|
|
res[ 1] = a[b[ 1]];
|
|
res[ 2] = a[b[ 2]];
|
|
res[ 3] = a[b[ 3]];
|
|
res[ 4] = a[b[ 4]];
|
|
res[ 5] = a[b[ 5]];
|
|
res[ 6] = a[b[ 6]];
|
|
res[ 7] = a[b[ 7]];
|
|
res[ 8] = a[b[ 8]];
|
|
res[ 9] = a[b[ 9]];
|
|
res[10] = a[b[10]];
|
|
res[11] = a[b[11]];
|
|
res[12] = a[b[12]];
|
|
res[13] = a[b[13]];
|
|
res[14] = a[b[14]];
|
|
res[15] = a[b[15]];
|
|
|
|
return res;
|
|
}
|
|
|
|
#else
|
|
|
|
#define ggml_int16x8x2_t int16x8x2_t
|
|
#define ggml_uint8x16x2_t uint8x16x2_t
|
|
#define ggml_uint8x16x4_t uint8x16x4_t
|
|
#define ggml_int8x16x2_t int8x16x2_t
|
|
#define ggml_int8x16x4_t int8x16x4_t
|
|
|
|
#define ggml_vld1q_s16_x2 vld1q_s16_x2
|
|
#define ggml_vld1q_u8_x2 vld1q_u8_x2
|
|
#define ggml_vld1q_u8_x4 vld1q_u8_x4
|
|
#define ggml_vld1q_s8_x2 vld1q_s8_x2
|
|
#define ggml_vld1q_s8_x4 vld1q_s8_x4
|
|
#define ggml_vqtbl1q_s8 vqtbl1q_s8
|
|
#define ggml_vqtbl1q_u8 vqtbl1q_u8
|
|
|
|
#endif
|
|
|
|
#if !defined(__ARM_FEATURE_DOTPROD)
|
|
|
|
inline static int32x4_t ggml_vdotq_s32(int32x4_t acc, int8x16_t a, int8x16_t b) {
|
|
const int16x8_t p0 = vmull_s8(vget_low_s8 (a), vget_low_s8 (b));
|
|
const int16x8_t p1 = vmull_s8(vget_high_s8(a), vget_high_s8(b));
|
|
|
|
return vaddq_s32(acc, vaddq_s32(vpaddlq_s16(p0), vpaddlq_s16(p1)));
|
|
}
|
|
|
|
#else
|
|
|
|
#define ggml_vdotq_s32(a, b, c) vdotq_s32(a, b, c)
|
|
|
|
#endif
|
|
|
|
#endif
|
|
|
|
#if defined(__ARM_NEON) || defined(__wasm_simd128__)
|
|
#define B1(c,s,n) 0x ## n ## c , 0x ## n ## s
|
|
#define B2(c,s,n) B1(c,s,n ## c), B1(c,s,n ## s)
|
|
#define B3(c,s,n) B2(c,s,n ## c), B2(c,s,n ## s)
|
|
#define B4(c,s,n) B3(c,s,n ## c), B3(c,s,n ## s)
|
|
#define B5(c,s,n) B4(c,s,n ## c), B4(c,s,n ## s)
|
|
#define B6(c,s,n) B5(c,s,n ## c), B5(c,s,n ## s)
|
|
#define B7(c,s,n) B6(c,s,n ## c), B6(c,s,n ## s)
|
|
#define B8(c,s ) B7(c,s, c), B7(c,s, s)
|
|
|
|
// precomputed tables for expanding 8bits to 8 bytes:
|
|
static const uint64_t table_b2b_0[1 << 8] = { B8(00, 10) }; // ( b) << 4
|
|
static const uint64_t table_b2b_1[1 << 8] = { B8(10, 00) }; // (!b) << 4
|
|
#endif
|
|
|
|
// reference implementation for deterministic creation of model files
|
|
void quantize_row_q4_0_reference(const float * restrict x, block_q4_0 * restrict y, int64_t k) {
|
|
static const int qk = QK4_0;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float amax = 0.0f; // absolute max
|
|
float max = 0.0f;
|
|
|
|
for (int j = 0; j < qk; j++) {
|
|
const float v = x[i*qk + j];
|
|
if (amax < fabsf(v)) {
|
|
amax = fabsf(v);
|
|
max = v;
|
|
}
|
|
}
|
|
|
|
const float d = max / -8;
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const float x0 = x[i*qk + 0 + j]*id;
|
|
const float x1 = x[i*qk + qk/2 + j]*id;
|
|
|
|
const uint8_t xi0 = MIN(15, (int8_t)(x0 + 8.5f));
|
|
const uint8_t xi1 = MIN(15, (int8_t)(x1 + 8.5f));
|
|
|
|
y[i].qs[j] = xi0;
|
|
y[i].qs[j] |= xi1 << 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
void quantize_row_q4_0(const float * restrict x, void * restrict y, int64_t k) {
|
|
quantize_row_q4_0_reference(x, y, k);
|
|
}
|
|
|
|
|
|
void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict y, int64_t k) {
|
|
const int qk = QK4_1;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float min = FLT_MAX;
|
|
float max = -FLT_MAX;
|
|
|
|
for (int j = 0; j < qk; j++) {
|
|
const float v = x[i*qk + j];
|
|
|
|
if (v < min) min = v;
|
|
if (v > max) max = v;
|
|
}
|
|
|
|
const float d = (max - min) / ((1 << 4) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
y[i].m = GGML_FP32_TO_FP16(min);
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const float x0 = (x[i*qk + 0 + j] - min)*id;
|
|
const float x1 = (x[i*qk + qk/2 + j] - min)*id;
|
|
|
|
const uint8_t xi0 = MIN(15, (int8_t)(x0 + 0.5f));
|
|
const uint8_t xi1 = MIN(15, (int8_t)(x1 + 0.5f));
|
|
|
|
y[i].qs[j] = xi0;
|
|
y[i].qs[j] |= xi1 << 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
void quantize_row_q4_1(const float * restrict x, void * restrict y, int64_t k) {
|
|
quantize_row_q4_1_reference(x, y, k);
|
|
}
|
|
|
|
void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict y, int64_t k) {
|
|
static const int qk = QK5_0;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float amax = 0.0f; // absolute max
|
|
float max = 0.0f;
|
|
|
|
for (int j = 0; j < qk; j++) {
|
|
const float v = x[i*qk + j];
|
|
if (amax < fabsf(v)) {
|
|
amax = fabsf(v);
|
|
max = v;
|
|
}
|
|
}
|
|
|
|
const float d = max / -16;
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
uint32_t qh = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const float x0 = x[i*qk + 0 + j]*id;
|
|
const float x1 = x[i*qk + qk/2 + j]*id;
|
|
|
|
const uint8_t xi0 = MIN(31, (int8_t)(x0 + 16.5f));
|
|
const uint8_t xi1 = MIN(31, (int8_t)(x1 + 16.5f));
|
|
|
|
y[i].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
|
|
|
|
// get the 5-th bit and store it in qh at the right position
|
|
qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
|
|
qh |= ((xi1 & 0x10u) >> 4) << (j + qk/2);
|
|
}
|
|
|
|
memcpy(&y[i].qh, &qh, sizeof(qh));
|
|
}
|
|
}
|
|
|
|
void quantize_row_q5_0(const float * restrict x, void * restrict y, int64_t k) {
|
|
quantize_row_q5_0_reference(x, y, k);
|
|
}
|
|
|
|
void quantize_row_q5_1_reference(const float * restrict x, block_q5_1 * restrict y, int64_t k) {
|
|
const int qk = QK5_1;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float min = FLT_MAX;
|
|
float max = -FLT_MAX;
|
|
|
|
for (int j = 0; j < qk; j++) {
|
|
const float v = x[i*qk + j];
|
|
|
|
if (v < min) min = v;
|
|
if (v > max) max = v;
|
|
}
|
|
|
|
const float d = (max - min) / ((1 << 5) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
y[i].m = GGML_FP32_TO_FP16(min);
|
|
|
|
uint32_t qh = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const float x0 = (x[i*qk + 0 + j] - min)*id;
|
|
const float x1 = (x[i*qk + qk/2 + j] - min)*id;
|
|
|
|
const uint8_t xi0 = (uint8_t)(x0 + 0.5f);
|
|
const uint8_t xi1 = (uint8_t)(x1 + 0.5f);
|
|
|
|
y[i].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
|
|
|
|
// get the 5-th bit and store it in qh at the right position
|
|
qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
|
|
qh |= ((xi1 & 0x10u) >> 4) << (j + qk/2);
|
|
}
|
|
|
|
memcpy(&y[i].qh, &qh, sizeof(y[i].qh));
|
|
}
|
|
}
|
|
|
|
void quantize_row_q5_1(const float * restrict x, void * restrict y, int64_t k) {
|
|
quantize_row_q5_1_reference(x, y, k);
|
|
}
|
|
|
|
// reference implementation for deterministic creation of model files
|
|
void quantize_row_q8_0_reference(const float * restrict x, block_q8_0 * restrict y, int64_t k) {
|
|
assert(k % QK8_0 == 0);
|
|
const int nb = k / QK8_0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float amax = 0.0f; // absolute max
|
|
|
|
for (int j = 0; j < QK8_0; j++) {
|
|
const float v = x[i*QK8_0 + j];
|
|
amax = MAX(amax, fabsf(v));
|
|
}
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
for (int j = 0; j < QK8_0; ++j) {
|
|
const float x0 = x[i*QK8_0 + j]*id;
|
|
|
|
y[i].qs[j] = roundf(x0);
|
|
}
|
|
}
|
|
}
|
|
|
|
void quantize_row_q8_0(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(QK8_0 == 32);
|
|
assert(k % QK8_0 == 0);
|
|
const int nb = k / QK8_0;
|
|
|
|
block_q8_0 * restrict y = vy;
|
|
|
|
#if defined(__ARM_NEON)
|
|
for (int i = 0; i < nb; i++) {
|
|
float32x4_t srcv [8];
|
|
float32x4_t asrcv[8];
|
|
float32x4_t amaxv[8];
|
|
|
|
for (int j = 0; j < 8; j++) srcv[j] = vld1q_f32(x + i*32 + 4*j);
|
|
for (int j = 0; j < 8; j++) asrcv[j] = vabsq_f32(srcv[j]);
|
|
|
|
for (int j = 0; j < 4; j++) amaxv[2*j] = vmaxq_f32(asrcv[2*j], asrcv[2*j+1]);
|
|
for (int j = 0; j < 2; j++) amaxv[4*j] = vmaxq_f32(amaxv[4*j], amaxv[4*j+2]);
|
|
for (int j = 0; j < 1; j++) amaxv[8*j] = vmaxq_f32(amaxv[8*j], amaxv[8*j+4]);
|
|
|
|
const float amax = vmaxvq_f32(amaxv[0]);
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
for (int j = 0; j < 8; j++) {
|
|
const float32x4_t v = vmulq_n_f32(srcv[j], id);
|
|
const int32x4_t vi = vcvtnq_s32_f32(v);
|
|
|
|
y[i].qs[4*j + 0] = vgetq_lane_s32(vi, 0);
|
|
y[i].qs[4*j + 1] = vgetq_lane_s32(vi, 1);
|
|
y[i].qs[4*j + 2] = vgetq_lane_s32(vi, 2);
|
|
y[i].qs[4*j + 3] = vgetq_lane_s32(vi, 3);
|
|
}
|
|
}
|
|
#elif defined(__wasm_simd128__)
|
|
for (int i = 0; i < nb; i++) {
|
|
v128_t srcv [8];
|
|
v128_t asrcv[8];
|
|
v128_t amaxv[8];
|
|
|
|
for (int j = 0; j < 8; j++) srcv[j] = wasm_v128_load(x + i*32 + 4*j);
|
|
for (int j = 0; j < 8; j++) asrcv[j] = wasm_f32x4_abs(srcv[j]);
|
|
|
|
for (int j = 0; j < 4; j++) amaxv[2*j] = wasm_f32x4_max(asrcv[2*j], asrcv[2*j+1]);
|
|
for (int j = 0; j < 2; j++) amaxv[4*j] = wasm_f32x4_max(amaxv[4*j], amaxv[4*j+2]);
|
|
for (int j = 0; j < 1; j++) amaxv[8*j] = wasm_f32x4_max(amaxv[8*j], amaxv[8*j+4]);
|
|
|
|
const float amax = MAX(MAX(wasm_f32x4_extract_lane(amaxv[0], 0),
|
|
wasm_f32x4_extract_lane(amaxv[0], 1)),
|
|
MAX(wasm_f32x4_extract_lane(amaxv[0], 2),
|
|
wasm_f32x4_extract_lane(amaxv[0], 3)));
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
for (int j = 0; j < 8; j++) {
|
|
const v128_t v = wasm_f32x4_mul(srcv[j], wasm_f32x4_splat(id));
|
|
const v128_t vi = wasm_i32x4_trunc_sat_f32x4(v);
|
|
|
|
y[i].qs[4*j + 0] = wasm_i32x4_extract_lane(vi, 0);
|
|
y[i].qs[4*j + 1] = wasm_i32x4_extract_lane(vi, 1);
|
|
y[i].qs[4*j + 2] = wasm_i32x4_extract_lane(vi, 2);
|
|
y[i].qs[4*j + 3] = wasm_i32x4_extract_lane(vi, 3);
|
|
}
|
|
}
|
|
#elif defined(__AVX2__) || defined(__AVX__)
|
|
for (int i = 0; i < nb; i++) {
|
|
// Load elements into 4 AVX vectors
|
|
__m256 v0 = _mm256_loadu_ps( x );
|
|
__m256 v1 = _mm256_loadu_ps( x + 8 );
|
|
__m256 v2 = _mm256_loadu_ps( x + 16 );
|
|
__m256 v3 = _mm256_loadu_ps( x + 24 );
|
|
x += 32;
|
|
|
|
// Compute max(abs(e)) for the block
|
|
const __m256 signBit = _mm256_set1_ps( -0.0f );
|
|
__m256 maxAbs = _mm256_andnot_ps( signBit, v0 );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v1 ) );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v2 ) );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v3 ) );
|
|
|
|
__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( maxAbs, 1 ), _mm256_castps256_ps128( maxAbs ) );
|
|
max4 = _mm_max_ps( max4, _mm_movehl_ps( max4, max4 ) );
|
|
max4 = _mm_max_ss( max4, _mm_movehdup_ps( max4 ) );
|
|
const float maxScalar = _mm_cvtss_f32( max4 );
|
|
|
|
// Quantize these floats
|
|
const float d = maxScalar / 127.f;
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
const float id = ( maxScalar != 0.0f ) ? 127.f / maxScalar : 0.0f;
|
|
const __m256 mul = _mm256_set1_ps( id );
|
|
|
|
// Apply the multiplier
|
|
v0 = _mm256_mul_ps( v0, mul );
|
|
v1 = _mm256_mul_ps( v1, mul );
|
|
v2 = _mm256_mul_ps( v2, mul );
|
|
v3 = _mm256_mul_ps( v3, mul );
|
|
|
|
// Round to nearest integer
|
|
v0 = _mm256_round_ps( v0, _MM_ROUND_NEAREST );
|
|
v1 = _mm256_round_ps( v1, _MM_ROUND_NEAREST );
|
|
v2 = _mm256_round_ps( v2, _MM_ROUND_NEAREST );
|
|
v3 = _mm256_round_ps( v3, _MM_ROUND_NEAREST );
|
|
|
|
// Convert floats to integers
|
|
__m256i i0 = _mm256_cvtps_epi32( v0 );
|
|
__m256i i1 = _mm256_cvtps_epi32( v1 );
|
|
__m256i i2 = _mm256_cvtps_epi32( v2 );
|
|
__m256i i3 = _mm256_cvtps_epi32( v3 );
|
|
|
|
#if defined(__AVX2__)
|
|
// Convert int32 to int16
|
|
i0 = _mm256_packs_epi32( i0, i1 ); // 0, 1, 2, 3, 8, 9, 10, 11, 4, 5, 6, 7, 12, 13, 14, 15
|
|
i2 = _mm256_packs_epi32( i2, i3 ); // 16, 17, 18, 19, 24, 25, 26, 27, 20, 21, 22, 23, 28, 29, 30, 31
|
|
// Convert int16 to int8
|
|
i0 = _mm256_packs_epi16( i0, i2 ); // 0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31
|
|
|
|
// We got our precious signed bytes, but the order is now wrong
|
|
// These AVX2 pack instructions process 16-byte pieces independently
|
|
// The following instruction is fixing the order
|
|
const __m256i perm = _mm256_setr_epi32( 0, 4, 1, 5, 2, 6, 3, 7 );
|
|
i0 = _mm256_permutevar8x32_epi32( i0, perm );
|
|
|
|
_mm256_storeu_si256((__m256i *)y[i].qs, i0);
|
|
#else
|
|
// Since we don't have in AVX some necessary functions,
|
|
// we split the registers in half and call AVX2 analogs from SSE
|
|
__m128i ni0 = _mm256_castsi256_si128( i0 );
|
|
__m128i ni1 = _mm256_extractf128_si256( i0, 1);
|
|
__m128i ni2 = _mm256_castsi256_si128( i1 );
|
|
__m128i ni3 = _mm256_extractf128_si256( i1, 1);
|
|
__m128i ni4 = _mm256_castsi256_si128( i2 );
|
|
__m128i ni5 = _mm256_extractf128_si256( i2, 1);
|
|
__m128i ni6 = _mm256_castsi256_si128( i3 );
|
|
__m128i ni7 = _mm256_extractf128_si256( i3, 1);
|
|
|
|
// Convert int32 to int16
|
|
ni0 = _mm_packs_epi32( ni0, ni1 );
|
|
ni2 = _mm_packs_epi32( ni2, ni3 );
|
|
ni4 = _mm_packs_epi32( ni4, ni5 );
|
|
ni6 = _mm_packs_epi32( ni6, ni7 );
|
|
// Convert int16 to int8
|
|
ni0 = _mm_packs_epi16( ni0, ni2 );
|
|
ni4 = _mm_packs_epi16( ni4, ni6 );
|
|
|
|
_mm_storeu_si128((__m128i *)(y[i].qs + 0), ni0);
|
|
_mm_storeu_si128((__m128i *)(y[i].qs + 16), ni4);
|
|
#endif
|
|
}
|
|
#elif defined(__riscv_v_intrinsic)
|
|
|
|
size_t vl = __riscv_vsetvl_e32m4(QK8_0);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
// load elements
|
|
vfloat32m4_t v_x = __riscv_vle32_v_f32m4(x+i*QK8_0, vl);
|
|
|
|
vfloat32m4_t vfabs = __riscv_vfabs_v_f32m4(v_x, vl);
|
|
vfloat32m1_t tmp = __riscv_vfmv_v_f_f32m1(0.0f, vl);
|
|
vfloat32m1_t vmax = __riscv_vfredmax_vs_f32m4_f32m1(vfabs, tmp, vl);
|
|
float amax = __riscv_vfmv_f_s_f32m1_f32(vmax);
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
vfloat32m4_t x0 = __riscv_vfmul_vf_f32m4(v_x, id, vl);
|
|
|
|
// convert to integer
|
|
vint16m2_t vi = __riscv_vfncvt_x_f_w_i16m2(x0, vl);
|
|
vint8m1_t vs = __riscv_vncvt_x_x_w_i8m1(vi, vl);
|
|
|
|
// store result
|
|
__riscv_vse8_v_i8m1(y[i].qs , vs, vl);
|
|
}
|
|
#else
|
|
GGML_UNUSED(nb);
|
|
// scalar
|
|
quantize_row_q8_0_reference(x, y, k);
|
|
#endif
|
|
}
|
|
|
|
// reference implementation for deterministic creation of model files
|
|
void quantize_row_q8_1_reference(const float * restrict x, block_q8_1 * restrict y, int64_t k) {
|
|
assert(QK8_1 == 32);
|
|
assert(k % QK8_1 == 0);
|
|
const int nb = k / QK8_1;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float amax = 0.0f; // absolute max
|
|
|
|
for (int j = 0; j < QK8_1; j++) {
|
|
const float v = x[i*QK8_1 + j];
|
|
amax = MAX(amax, fabsf(v));
|
|
}
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
int sum = 0;
|
|
|
|
for (int j = 0; j < QK8_1/2; ++j) {
|
|
const float v0 = x[i*QK8_1 + j]*id;
|
|
const float v1 = x[i*QK8_1 + QK8_1/2 + j]*id;
|
|
|
|
y[i].qs[ j] = roundf(v0);
|
|
y[i].qs[QK8_1/2 + j] = roundf(v1);
|
|
|
|
sum += y[i].qs[ j];
|
|
sum += y[i].qs[QK8_1/2 + j];
|
|
}
|
|
|
|
y[i].s = GGML_FP32_TO_FP16(sum*d);
|
|
}
|
|
}
|
|
|
|
void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK8_1 == 0);
|
|
const int nb = k / QK8_1;
|
|
|
|
block_q8_1 * restrict y = vy;
|
|
|
|
#if defined(__ARM_NEON)
|
|
for (int i = 0; i < nb; i++) {
|
|
float32x4_t srcv [8];
|
|
float32x4_t asrcv[8];
|
|
float32x4_t amaxv[8];
|
|
|
|
for (int j = 0; j < 8; j++) srcv[j] = vld1q_f32(x + i*32 + 4*j);
|
|
for (int j = 0; j < 8; j++) asrcv[j] = vabsq_f32(srcv[j]);
|
|
|
|
for (int j = 0; j < 4; j++) amaxv[2*j] = vmaxq_f32(asrcv[2*j], asrcv[2*j+1]);
|
|
for (int j = 0; j < 2; j++) amaxv[4*j] = vmaxq_f32(amaxv[4*j], amaxv[4*j+2]);
|
|
for (int j = 0; j < 1; j++) amaxv[8*j] = vmaxq_f32(amaxv[8*j], amaxv[8*j+4]);
|
|
|
|
const float amax = vmaxvq_f32(amaxv[0]);
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
int32x4_t accv = vdupq_n_s32(0);
|
|
|
|
for (int j = 0; j < 8; j++) {
|
|
const float32x4_t v = vmulq_n_f32(srcv[j], id);
|
|
const int32x4_t vi = vcvtnq_s32_f32(v);
|
|
|
|
y[i].qs[4*j + 0] = vgetq_lane_s32(vi, 0);
|
|
y[i].qs[4*j + 1] = vgetq_lane_s32(vi, 1);
|
|
y[i].qs[4*j + 2] = vgetq_lane_s32(vi, 2);
|
|
y[i].qs[4*j + 3] = vgetq_lane_s32(vi, 3);
|
|
|
|
accv = vaddq_s32(accv, vi);
|
|
}
|
|
|
|
y[i].s = GGML_FP32_TO_FP16(d * vaddvq_s32(accv));
|
|
}
|
|
#elif defined(__wasm_simd128__)
|
|
for (int i = 0; i < nb; i++) {
|
|
v128_t srcv [8];
|
|
v128_t asrcv[8];
|
|
v128_t amaxv[8];
|
|
|
|
for (int j = 0; j < 8; j++) srcv[j] = wasm_v128_load(x + i*32 + 4*j);
|
|
for (int j = 0; j < 8; j++) asrcv[j] = wasm_f32x4_abs(srcv[j]);
|
|
|
|
for (int j = 0; j < 4; j++) amaxv[2*j] = wasm_f32x4_max(asrcv[2*j], asrcv[2*j+1]);
|
|
for (int j = 0; j < 2; j++) amaxv[4*j] = wasm_f32x4_max(amaxv[4*j], amaxv[4*j+2]);
|
|
for (int j = 0; j < 1; j++) amaxv[8*j] = wasm_f32x4_max(amaxv[8*j], amaxv[8*j+4]);
|
|
|
|
const float amax = MAX(MAX(wasm_f32x4_extract_lane(amaxv[0], 0),
|
|
wasm_f32x4_extract_lane(amaxv[0], 1)),
|
|
MAX(wasm_f32x4_extract_lane(amaxv[0], 2),
|
|
wasm_f32x4_extract_lane(amaxv[0], 3)));
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
v128_t accv = wasm_i32x4_splat(0);
|
|
|
|
for (int j = 0; j < 8; j++) {
|
|
const v128_t v = wasm_f32x4_mul(srcv[j], wasm_f32x4_splat(id));
|
|
const v128_t vi = wasm_i32x4_trunc_sat_f32x4(v);
|
|
|
|
y[i].qs[4*j + 0] = wasm_i32x4_extract_lane(vi, 0);
|
|
y[i].qs[4*j + 1] = wasm_i32x4_extract_lane(vi, 1);
|
|
y[i].qs[4*j + 2] = wasm_i32x4_extract_lane(vi, 2);
|
|
y[i].qs[4*j + 3] = wasm_i32x4_extract_lane(vi, 3);
|
|
|
|
accv = wasm_i32x4_add(accv, vi);
|
|
}
|
|
|
|
y[i].s = GGML_FP32_TO_FP16(
|
|
d * (wasm_i32x4_extract_lane(accv, 0) +
|
|
wasm_i32x4_extract_lane(accv, 1) +
|
|
wasm_i32x4_extract_lane(accv, 2) +
|
|
wasm_i32x4_extract_lane(accv, 3)));
|
|
}
|
|
#elif defined(__AVX2__) || defined(__AVX__)
|
|
for (int i = 0; i < nb; i++) {
|
|
// Load elements into 4 AVX vectors
|
|
__m256 v0 = _mm256_loadu_ps( x );
|
|
__m256 v1 = _mm256_loadu_ps( x + 8 );
|
|
__m256 v2 = _mm256_loadu_ps( x + 16 );
|
|
__m256 v3 = _mm256_loadu_ps( x + 24 );
|
|
x += 32;
|
|
|
|
// Compute max(abs(e)) for the block
|
|
const __m256 signBit = _mm256_set1_ps( -0.0f );
|
|
__m256 maxAbs = _mm256_andnot_ps( signBit, v0 );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v1 ) );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v2 ) );
|
|
maxAbs = _mm256_max_ps( maxAbs, _mm256_andnot_ps( signBit, v3 ) );
|
|
|
|
__m128 max4 = _mm_max_ps( _mm256_extractf128_ps( maxAbs, 1 ), _mm256_castps256_ps128( maxAbs ) );
|
|
max4 = _mm_max_ps( max4, _mm_movehl_ps( max4, max4 ) );
|
|
max4 = _mm_max_ss( max4, _mm_movehdup_ps( max4 ) );
|
|
const float maxScalar = _mm_cvtss_f32( max4 );
|
|
|
|
// Quantize these floats
|
|
const float d = maxScalar / 127.f;
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
const float id = ( maxScalar != 0.0f ) ? 127.f / maxScalar : 0.0f;
|
|
const __m256 mul = _mm256_set1_ps( id );
|
|
|
|
// Apply the multiplier
|
|
v0 = _mm256_mul_ps( v0, mul );
|
|
v1 = _mm256_mul_ps( v1, mul );
|
|
v2 = _mm256_mul_ps( v2, mul );
|
|
v3 = _mm256_mul_ps( v3, mul );
|
|
|
|
// Round to nearest integer
|
|
v0 = _mm256_round_ps( v0, _MM_ROUND_NEAREST );
|
|
v1 = _mm256_round_ps( v1, _MM_ROUND_NEAREST );
|
|
v2 = _mm256_round_ps( v2, _MM_ROUND_NEAREST );
|
|
v3 = _mm256_round_ps( v3, _MM_ROUND_NEAREST );
|
|
|
|
// Convert floats to integers
|
|
__m256i i0 = _mm256_cvtps_epi32( v0 );
|
|
__m256i i1 = _mm256_cvtps_epi32( v1 );
|
|
__m256i i2 = _mm256_cvtps_epi32( v2 );
|
|
__m256i i3 = _mm256_cvtps_epi32( v3 );
|
|
|
|
#if defined(__AVX2__)
|
|
// Compute the sum of the quants and set y[i].s
|
|
y[i].s = GGML_FP32_TO_FP16(d * hsum_i32_8(_mm256_add_epi32(_mm256_add_epi32(i0, i1), _mm256_add_epi32(i2, i3))));
|
|
|
|
// Convert int32 to int16
|
|
i0 = _mm256_packs_epi32( i0, i1 ); // 0, 1, 2, 3, 8, 9, 10, 11, 4, 5, 6, 7, 12, 13, 14, 15
|
|
i2 = _mm256_packs_epi32( i2, i3 ); // 16, 17, 18, 19, 24, 25, 26, 27, 20, 21, 22, 23, 28, 29, 30, 31
|
|
// Convert int16 to int8
|
|
i0 = _mm256_packs_epi16( i0, i2 ); // 0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31
|
|
|
|
// We got our precious signed bytes, but the order is now wrong
|
|
// These AVX2 pack instructions process 16-byte pieces independently
|
|
// The following instruction is fixing the order
|
|
const __m256i perm = _mm256_setr_epi32( 0, 4, 1, 5, 2, 6, 3, 7 );
|
|
i0 = _mm256_permutevar8x32_epi32( i0, perm );
|
|
|
|
_mm256_storeu_si256((__m256i *)y[i].qs, i0);
|
|
#else
|
|
// Since we don't have in AVX some necessary functions,
|
|
// we split the registers in half and call AVX2 analogs from SSE
|
|
__m128i ni0 = _mm256_castsi256_si128( i0 );
|
|
__m128i ni1 = _mm256_extractf128_si256( i0, 1);
|
|
__m128i ni2 = _mm256_castsi256_si128( i1 );
|
|
__m128i ni3 = _mm256_extractf128_si256( i1, 1);
|
|
__m128i ni4 = _mm256_castsi256_si128( i2 );
|
|
__m128i ni5 = _mm256_extractf128_si256( i2, 1);
|
|
__m128i ni6 = _mm256_castsi256_si128( i3 );
|
|
__m128i ni7 = _mm256_extractf128_si256( i3, 1);
|
|
|
|
// Compute the sum of the quants and set y[i].s
|
|
const __m128i s0 = _mm_add_epi32(_mm_add_epi32(ni0, ni1), _mm_add_epi32(ni2, ni3));
|
|
const __m128i s1 = _mm_add_epi32(_mm_add_epi32(ni4, ni5), _mm_add_epi32(ni6, ni7));
|
|
y[i].s = GGML_FP32_TO_FP16(d * hsum_i32_4(_mm_add_epi32(s0, s1)));
|
|
|
|
// Convert int32 to int16
|
|
ni0 = _mm_packs_epi32( ni0, ni1 );
|
|
ni2 = _mm_packs_epi32( ni2, ni3 );
|
|
ni4 = _mm_packs_epi32( ni4, ni5 );
|
|
ni6 = _mm_packs_epi32( ni6, ni7 );
|
|
// Convert int16 to int8
|
|
ni0 = _mm_packs_epi16( ni0, ni2 );
|
|
ni4 = _mm_packs_epi16( ni4, ni6 );
|
|
|
|
_mm_storeu_si128((__m128i *)(y[i].qs + 0), ni0);
|
|
_mm_storeu_si128((__m128i *)(y[i].qs + 16), ni4);
|
|
#endif
|
|
}
|
|
#elif defined(__riscv_v_intrinsic)
|
|
|
|
size_t vl = __riscv_vsetvl_e32m4(QK8_1);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
// load elements
|
|
vfloat32m4_t v_x = __riscv_vle32_v_f32m4(x+i*QK8_1, vl);
|
|
|
|
vfloat32m4_t vfabs = __riscv_vfabs_v_f32m4(v_x, vl);
|
|
vfloat32m1_t tmp = __riscv_vfmv_v_f_f32m1(0.0, vl);
|
|
vfloat32m1_t vmax = __riscv_vfredmax_vs_f32m4_f32m1(vfabs, tmp, vl);
|
|
float amax = __riscv_vfmv_f_s_f32m1_f32(vmax);
|
|
|
|
const float d = amax / ((1 << 7) - 1);
|
|
const float id = d ? 1.0f/d : 0.0f;
|
|
|
|
y[i].d = GGML_FP32_TO_FP16(d);
|
|
|
|
vfloat32m4_t x0 = __riscv_vfmul_vf_f32m4(v_x, id, vl);
|
|
|
|
// convert to integer
|
|
vint16m2_t vi = __riscv_vfncvt_x_f_w_i16m2(x0, vl);
|
|
vint8m1_t vs = __riscv_vncvt_x_x_w_i8m1(vi, vl);
|
|
|
|
// store result
|
|
__riscv_vse8_v_i8m1(y[i].qs , vs, vl);
|
|
|
|
// compute sum for y[i].s
|
|
vint16m1_t tmp2 = __riscv_vmv_v_x_i16m1(0, vl);
|
|
vint16m1_t vwrs = __riscv_vwredsum_vs_i8m1_i16m1(vs, tmp2, vl);
|
|
|
|
// set y[i].s
|
|
int sum = __riscv_vmv_x_s_i16m1_i16(vwrs);
|
|
y[i].s = GGML_FP32_TO_FP16(sum*d);
|
|
}
|
|
#else
|
|
GGML_UNUSED(nb);
|
|
// scalar
|
|
quantize_row_q8_1_reference(x, y, k);
|
|
#endif
|
|
}
|
|
|
|
void dequantize_row_q4_0(const block_q4_0 * restrict x, float * restrict y, int64_t k) {
|
|
static const int qk = QK4_0;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const int x0 = (x[i].qs[j] & 0x0F) - 8;
|
|
const int x1 = (x[i].qs[j] >> 4) - 8;
|
|
|
|
y[i*qk + j + 0 ] = x0*d;
|
|
y[i*qk + j + qk/2] = x1*d;
|
|
}
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q4_1(const block_q4_1 * restrict x, float * restrict y, int64_t k) {
|
|
static const int qk = QK4_1;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float m = GGML_FP16_TO_FP32(x[i].m);
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const int x0 = (x[i].qs[j] & 0x0F);
|
|
const int x1 = (x[i].qs[j] >> 4);
|
|
|
|
y[i*qk + j + 0 ] = x0*d + m;
|
|
y[i*qk + j + qk/2] = x1*d + m;
|
|
}
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q5_0(const block_q5_0 * restrict x, float * restrict y, int64_t k) {
|
|
static const int qk = QK5_0;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
|
|
const uint8_t xh_1 = ((qh >> (j + 12)) ) & 0x10;
|
|
|
|
const int32_t x0 = ((x[i].qs[j] & 0x0F) | xh_0) - 16;
|
|
const int32_t x1 = ((x[i].qs[j] >> 4) | xh_1) - 16;
|
|
|
|
y[i*qk + j + 0 ] = x0*d;
|
|
y[i*qk + j + qk/2] = x1*d;
|
|
}
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q5_1(const block_q5_1 * restrict x, float * restrict y, int64_t k) {
|
|
static const int qk = QK5_1;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float m = GGML_FP16_TO_FP32(x[i].m);
|
|
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
|
|
const uint8_t xh_1 = ((qh >> (j + 12)) ) & 0x10;
|
|
|
|
const int x0 = (x[i].qs[j] & 0x0F) | xh_0;
|
|
const int x1 = (x[i].qs[j] >> 4) | xh_1;
|
|
|
|
y[i*qk + j + 0 ] = x0*d + m;
|
|
y[i*qk + j + qk/2] = x1*d + m;
|
|
}
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q8_0(const block_q8_0 * restrict x, float * restrict y, int64_t k) {
|
|
static const int qk = QK8_0;
|
|
|
|
assert(k % qk == 0);
|
|
|
|
const int nb = k / qk;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
for (int j = 0; j < qk; ++j) {
|
|
y[i*qk + j] = x[i].qs[j]*d;
|
|
}
|
|
}
|
|
}
|
|
|
|
//
|
|
// 2-6 bit quantization in super-blocks
|
|
//
|
|
|
|
//
|
|
// ===================== Helper functions
|
|
//
|
|
static inline int nearest_int(float fval) {
|
|
assert(fval <= 4194303.f);
|
|
float val = fval + 12582912.f;
|
|
int i; memcpy(&i, &val, sizeof(int));
|
|
return (i & 0x007fffff) - 0x00400000;
|
|
}
|
|
|
|
static float make_qx_quants(int n, int nmax, const float * restrict x, int8_t * restrict L, int rmse_type,
|
|
const float * restrict qw) {
|
|
float max = 0;
|
|
float amax = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float ax = fabsf(x[i]);
|
|
if (ax > amax) { amax = ax; max = x[i]; }
|
|
}
|
|
if (amax < 1e-30f) { // all zero
|
|
for (int i = 0; i < n; ++i) {
|
|
L[i] = 0;
|
|
}
|
|
return 0.f;
|
|
}
|
|
float iscale = -nmax / max;
|
|
if (rmse_type == 0) {
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
L[i] = nmax + MAX(-nmax, MIN(nmax-1, l));
|
|
}
|
|
return 1/iscale;
|
|
}
|
|
bool return_early = false;
|
|
if (rmse_type < 0) {
|
|
rmse_type = -rmse_type;
|
|
return_early = true;
|
|
}
|
|
float sumlx = 0;
|
|
float suml2 = 0;
|
|
#ifdef HAVE_BUGGY_APPLE_LINKER
|
|
// use 'volatile' to prevent unroll and work around a bug in Apple ld64 1015.7
|
|
for (volatile int i = 0; i < n; ++i) {
|
|
#else
|
|
for (int i = 0; i < n; ++i) {
|
|
#endif
|
|
int l = nearest_int(iscale * x[i]);
|
|
l = MAX(-nmax, MIN(nmax-1, l));
|
|
L[i] = l + nmax;
|
|
float w = qw ? qw[i] : rmse_type == 1 ? x[i] * x[i] : rmse_type == 2 ? 1 : rmse_type == 3 ? fabsf(x[i]) : sqrtf(fabsf(x[i]));
|
|
sumlx += w*x[i]*l;
|
|
suml2 += w*l*l;
|
|
}
|
|
float scale = sumlx/suml2;
|
|
if (return_early) return suml2 > 0 ? 0.5f*(scale + 1/iscale) : 1/iscale;
|
|
float best = scale * sumlx;
|
|
for (int is = -9; is <= 9; ++is) {
|
|
if (is == 0) {
|
|
continue;
|
|
}
|
|
iscale = -(nmax + 0.1f*is) / max;
|
|
sumlx = suml2 = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
l = MAX(-nmax, MIN(nmax-1, l));
|
|
float w = qw ? qw[i] : rmse_type == 1 ? x[i] * x[i] : rmse_type == 2 ? 1 : rmse_type == 3 ? fabsf(x[i]) : sqrtf(fabsf(x[i]));
|
|
sumlx += w*x[i]*l;
|
|
suml2 += w*l*l;
|
|
}
|
|
if (suml2 > 0 && sumlx*sumlx > best*suml2) {
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
L[i] = nmax + MAX(-nmax, MIN(nmax-1, l));
|
|
}
|
|
scale = sumlx/suml2; best = scale*sumlx;
|
|
}
|
|
}
|
|
return scale;
|
|
}
|
|
|
|
static float make_q3_quants(int n, int nmax, const float * restrict x, int8_t * restrict L, bool do_rmse) {
|
|
float max = 0;
|
|
float amax = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float ax = fabsf(x[i]);
|
|
if (ax > amax) { amax = ax; max = x[i]; }
|
|
}
|
|
if (!amax) { // all zero
|
|
for (int i = 0; i < n; ++i) { L[i] = 0; }
|
|
return 0.f;
|
|
}
|
|
float iscale = -nmax / max;
|
|
if (do_rmse) {
|
|
float sumlx = 0;
|
|
float suml2 = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
l = MAX(-nmax, MIN(nmax-1, l));
|
|
L[i] = l;
|
|
float w = x[i]*x[i];
|
|
sumlx += w*x[i]*l;
|
|
suml2 += w*l*l;
|
|
}
|
|
for (int itry = 0; itry < 5; ++itry) {
|
|
int n_changed = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float w = x[i]*x[i];
|
|
float slx = sumlx - w*x[i]*L[i];
|
|
if (slx > 0) {
|
|
float sl2 = suml2 - w*L[i]*L[i];
|
|
int new_l = nearest_int(x[i] * sl2 / slx);
|
|
new_l = MAX(-nmax, MIN(nmax-1, new_l));
|
|
if (new_l != L[i]) {
|
|
slx += w*x[i]*new_l;
|
|
sl2 += w*new_l*new_l;
|
|
if (sl2 > 0 && slx*slx*suml2 > sumlx*sumlx*sl2) {
|
|
L[i] = new_l; sumlx = slx; suml2 = sl2;
|
|
++n_changed;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if (!n_changed) {
|
|
break;
|
|
}
|
|
}
|
|
for (int i = 0; i < n; ++i) {
|
|
L[i] += nmax;
|
|
}
|
|
return sumlx / suml2;
|
|
}
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
l = MAX(-nmax, MIN(nmax-1, l));
|
|
L[i] = l + nmax;
|
|
}
|
|
return 1/iscale;
|
|
}
|
|
|
|
static float make_qkx1_quants(int n, int nmax, const float * restrict x, uint8_t * restrict L, float * restrict the_min,
|
|
int ntry, float alpha) {
|
|
float min = x[0];
|
|
float max = x[0];
|
|
for (int i = 1; i < n; ++i) {
|
|
if (x[i] < min) min = x[i];
|
|
if (x[i] > max) max = x[i];
|
|
}
|
|
if (max == min) {
|
|
for (int i = 0; i < n; ++i) L[i] = 0;
|
|
*the_min = 0;
|
|
return 0.f;
|
|
}
|
|
if (min > 0) min = 0;
|
|
float iscale = nmax/(max - min);
|
|
float scale = 1/iscale;
|
|
for (int itry = 0; itry < ntry; ++itry) {
|
|
float sumlx = 0; int suml2 = 0;
|
|
bool did_change = false;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale*(x[i] - min));
|
|
l = MAX(0, MIN(nmax, l));
|
|
if (l != L[i]) {
|
|
L[i] = l;
|
|
did_change = true;
|
|
}
|
|
sumlx += (x[i] - min)*l;
|
|
suml2 += l*l;
|
|
}
|
|
scale = sumlx/suml2;
|
|
float sum = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
sum += x[i] - scale*L[i];
|
|
}
|
|
min = alpha*min + (1 - alpha)*sum/n;
|
|
if (min > 0) min = 0;
|
|
iscale = 1/scale;
|
|
if (!did_change) break;
|
|
}
|
|
*the_min = -min;
|
|
return scale;
|
|
}
|
|
|
|
static float make_qkx2_quants(int n, int nmax, const float * restrict x, const float * restrict weights,
|
|
uint8_t * restrict L, float * restrict the_min, uint8_t * restrict Laux,
|
|
float rmin, float rdelta, int nstep, bool use_mad) {
|
|
float min = x[0];
|
|
float max = x[0];
|
|
float sum_w = weights[0];
|
|
float sum_x = sum_w * x[0];
|
|
#ifdef HAVE_BUGGY_APPLE_LINKER
|
|
// use 'volatile' to prevent unroll and work around a bug in Apple ld64 1015.7
|
|
for (volatile int i = 1; i < n; ++i) {
|
|
#else
|
|
for (int i = 1; i < n; ++i) {
|
|
#endif
|
|
if (x[i] < min) min = x[i];
|
|
if (x[i] > max) max = x[i];
|
|
float w = weights[i];
|
|
sum_w += w;
|
|
sum_x += w * x[i];
|
|
}
|
|
if (min > 0) min = 0;
|
|
if (max == min) {
|
|
for (int i = 0; i < n; ++i) L[i] = 0;
|
|
*the_min = -min;
|
|
return 0.f;
|
|
}
|
|
float iscale = nmax/(max - min);
|
|
float scale = 1/iscale;
|
|
float best_mad = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale*(x[i] - min));
|
|
L[i] = MAX(0, MIN(nmax, l));
|
|
float diff = scale * L[i] + min - x[i];
|
|
diff = use_mad ? fabsf(diff) : diff * diff;
|
|
float w = weights[i];
|
|
best_mad += w * diff;
|
|
}
|
|
if (nstep < 1) {
|
|
*the_min = -min;
|
|
return scale;
|
|
}
|
|
for (int is = 0; is <= nstep; ++is) {
|
|
iscale = (rmin + rdelta*is + nmax)/(max - min);
|
|
float sum_l = 0, sum_l2 = 0, sum_xl = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale*(x[i] - min));
|
|
l = MAX(0, MIN(nmax, l));
|
|
Laux[i] = l;
|
|
float w = weights[i];
|
|
sum_l += w*l;
|
|
sum_l2 += w*l*l;
|
|
sum_xl += w*l*x[i];
|
|
}
|
|
float D = sum_w * sum_l2 - sum_l * sum_l;
|
|
if (D > 0) {
|
|
float this_scale = (sum_w * sum_xl - sum_x * sum_l)/D;
|
|
float this_min = (sum_l2 * sum_x - sum_l * sum_xl)/D;
|
|
if (this_min > 0) {
|
|
this_min = 0;
|
|
this_scale = sum_xl / sum_l2;
|
|
}
|
|
float mad = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float diff = this_scale * Laux[i] + this_min - x[i];
|
|
diff = use_mad ? fabsf(diff) : diff * diff;
|
|
float w = weights[i];
|
|
mad += w * diff;
|
|
}
|
|
if (mad < best_mad) {
|
|
for (int i = 0; i < n; ++i) {
|
|
L[i] = Laux[i];
|
|
}
|
|
best_mad = mad;
|
|
scale = this_scale;
|
|
min = this_min;
|
|
}
|
|
}
|
|
}
|
|
*the_min = -min;
|
|
return scale;
|
|
}
|
|
|
|
#if QK_K == 256
|
|
static inline void get_scale_min_k4(int j, const uint8_t * restrict q, uint8_t * restrict d, uint8_t * restrict m) {
|
|
if (j < 4) {
|
|
*d = q[j] & 63; *m = q[j + 4] & 63;
|
|
} else {
|
|
*d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4);
|
|
*m = (q[j+4] >> 4) | ((q[j-0] >> 6) << 4);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
//========================- 2-bit (de)-quantization
|
|
|
|
void quantize_row_q2_K_reference(const float * restrict x, block_q2_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
uint8_t L[QK_K];
|
|
uint8_t Laux[16];
|
|
float weights[16];
|
|
float mins[QK_K/16];
|
|
float scales[QK_K/16];
|
|
|
|
const float q4scale = 15.f;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
float max_scale = 0; // as we are deducting the min, scales are always positive
|
|
float max_min = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
for (int l = 0; l < 16; ++l) weights[l] = fabsf(x[16*j + l]);
|
|
scales[j] = make_qkx2_quants(16, 3, x + 16*j, weights, L + 16*j, &mins[j], Laux, -0.5f, 0.1f, 15, true);
|
|
float scale = scales[j];
|
|
if (scale > max_scale) {
|
|
max_scale = scale;
|
|
}
|
|
float min = mins[j];
|
|
if (min > max_min) {
|
|
max_min = min;
|
|
}
|
|
}
|
|
|
|
if (max_scale > 0) {
|
|
float iscale = q4scale/max_scale;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = nearest_int(iscale*scales[j]);
|
|
y[i].scales[j] = l;
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(max_scale/q4scale);
|
|
} else {
|
|
for (int j = 0; j < QK_K/16; ++j) y[i].scales[j] = 0;
|
|
y[i].d = GGML_FP32_TO_FP16(0.f);
|
|
}
|
|
if (max_min > 0) {
|
|
float iscale = q4scale/max_min;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = nearest_int(iscale*mins[j]);
|
|
y[i].scales[j] |= (l << 4);
|
|
}
|
|
y[i].dmin = GGML_FP32_TO_FP16(max_min/q4scale);
|
|
} else {
|
|
y[i].dmin = GGML_FP32_TO_FP16(0.f);
|
|
}
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * (y[i].scales[j] & 0xF);
|
|
if (!d) continue;
|
|
const float dm = GGML_FP16_TO_FP32(y[i].dmin) * (y[i].scales[j] >> 4);
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int((x[16*j + ii] + dm)/d);
|
|
l = MAX(0, MIN(3, l));
|
|
L[16*j + ii] = l;
|
|
}
|
|
}
|
|
|
|
#if QK_K == 256
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
|
|
}
|
|
}
|
|
#else
|
|
for (int l = 0; l < 16; ++l) {
|
|
y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
|
|
}
|
|
#endif
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q2_K(const block_q2_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float min = GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * q = x[i].qs;
|
|
|
|
#if QK_K == 256
|
|
int is = 0;
|
|
float dl, ml;
|
|
for (int n = 0; n < QK_K; n += 128) {
|
|
int shift = 0;
|
|
for (int j = 0; j < 4; ++j) {
|
|
|
|
uint8_t sc = x[i].scales[is++];
|
|
dl = d * (sc & 0xF); ml = min * (sc >> 4);
|
|
for (int l = 0; l < 16; ++l) *y++ = dl * ((int8_t)((q[l] >> shift) & 3)) - ml;
|
|
|
|
sc = x[i].scales[is++];
|
|
dl = d * (sc & 0xF); ml = min * (sc >> 4);
|
|
for (int l = 0; l < 16; ++l) *y++ = dl * ((int8_t)((q[l+16] >> shift) & 3)) - ml;
|
|
|
|
shift += 2;
|
|
}
|
|
q += 32;
|
|
}
|
|
#else
|
|
float dl1 = d * (x[i].scales[0] & 0xF), ml1 = min * (x[i].scales[0] >> 4);
|
|
float dl2 = d * (x[i].scales[1] & 0xF), ml2 = min * (x[i].scales[1] >> 4);
|
|
float dl3 = d * (x[i].scales[2] & 0xF), ml3 = min * (x[i].scales[2] >> 4);
|
|
float dl4 = d * (x[i].scales[3] & 0xF), ml4 = min * (x[i].scales[3] >> 4);
|
|
for (int l = 0; l < 16; ++l) {
|
|
y[l+ 0] = dl1 * ((int8_t)((q[l] >> 0) & 3)) - ml1;
|
|
y[l+16] = dl2 * ((int8_t)((q[l] >> 2) & 3)) - ml2;
|
|
y[l+32] = dl3 * ((int8_t)((q[l] >> 4) & 3)) - ml3;
|
|
y[l+48] = dl4 * ((int8_t)((q[l] >> 6) & 3)) - ml4;
|
|
}
|
|
y += QK_K;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
void quantize_row_q2_K(const float * restrict x, void * restrict vy, int64_t k) {
|
|
quantize_row_q2_K_reference(x, vy, k);
|
|
}
|
|
|
|
static float make_qkx3_quants(int n, int nmax, const float * restrict x, const float * restrict weights,
|
|
uint8_t * restrict L, float * restrict the_min, uint8_t * restrict Laux,
|
|
float rmin, float rdelta, int nstep, bool use_mad) {
|
|
float min = x[0];
|
|
float max = x[0];
|
|
float sum_w = weights ? weights[0] : x[0]*x[0];
|
|
float sum_x = sum_w * x[0];
|
|
#ifdef HAVE_BUGGY_APPLE_LINKER
|
|
// use 'volatile' to prevent unroll and work around a bug in Apple ld64 1015.7
|
|
for (volatile int i = 1; i < n; ++i) {
|
|
#else
|
|
for (int i = 1; i < n; ++i) {
|
|
#endif
|
|
if (x[i] < min) min = x[i];
|
|
if (x[i] > max) max = x[i];
|
|
float w = weights ? weights[i] : x[i]*x[i];
|
|
sum_w += w;
|
|
sum_x += w * x[i];
|
|
}
|
|
if (min > 0) {
|
|
min = 0;
|
|
}
|
|
if (max <= min) {
|
|
memset(L, 0, n);
|
|
*the_min = -min;
|
|
return 0.f;
|
|
}
|
|
float iscale = nmax/(max - min);
|
|
float scale = 1/iscale;
|
|
float best_mad = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale*(x[i] - min));
|
|
L[i] = MAX(0, MIN(nmax, l));
|
|
float diff = scale * L[i] + min - x[i];
|
|
diff = use_mad ? fabsf(diff) : diff*diff;
|
|
float w = weights ? weights[i] : x[i]*x[i];
|
|
best_mad += w * diff;
|
|
}
|
|
if (nstep < 1) {
|
|
*the_min = -min;
|
|
return scale;
|
|
}
|
|
for (int is = 0; is <= nstep; ++is) {
|
|
iscale = (rmin + rdelta*is + nmax)/(max - min);
|
|
float sum_l = 0, sum_l2 = 0, sum_xl = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale*(x[i] - min));
|
|
l = MAX(0, MIN(nmax, l));
|
|
Laux[i] = l;
|
|
float w = weights ? weights[i] : x[i]*x[i];
|
|
sum_l += w*l;
|
|
sum_l2 += w*l*l;
|
|
sum_xl += w*l*x[i];
|
|
}
|
|
float D = sum_w * sum_l2 - sum_l * sum_l;
|
|
if (D > 0) {
|
|
float this_scale = (sum_w * sum_xl - sum_x * sum_l)/D;
|
|
float this_min = (sum_l2 * sum_x - sum_l * sum_xl)/D;
|
|
if (this_min > 0) {
|
|
this_min = 0;
|
|
this_scale = sum_xl / sum_l2;
|
|
}
|
|
float mad = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float diff = this_scale * Laux[i] + this_min - x[i];
|
|
diff = use_mad ? fabsf(diff) : diff*diff;
|
|
float w = weights ? weights[i] : x[i]*x[i];
|
|
mad += w * diff;
|
|
}
|
|
if (mad < best_mad) {
|
|
for (int i = 0; i < n; ++i) {
|
|
L[i] = Laux[i];
|
|
}
|
|
best_mad = mad;
|
|
scale = this_scale;
|
|
min = this_min;
|
|
}
|
|
}
|
|
}
|
|
*the_min = -min;
|
|
return scale;
|
|
}
|
|
|
|
static float make_qp_quants(int n, int nmax, const float * restrict x, uint8_t * restrict L, const float * quant_weights) {
|
|
float max = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
max = MAX(max, x[i]);
|
|
}
|
|
if (!max) { // all zero
|
|
for (int i = 0; i < n; ++i) { L[i] = 0; }
|
|
return 0.f;
|
|
}
|
|
float iscale = nmax / max;
|
|
for (int i = 0; i < n; ++i) {
|
|
L[i] = nearest_int(iscale * x[i]);
|
|
}
|
|
float scale = 1/iscale;
|
|
float best_mse = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float diff = x[i] - scale*L[i];
|
|
float w = quant_weights[i];
|
|
best_mse += w*diff*diff;
|
|
}
|
|
for (int is = -4; is <= 4; ++is) {
|
|
if (is == 0) continue;
|
|
float iscale_is = (0.1f*is + nmax)/max;
|
|
float scale_is = 1/iscale_is;
|
|
float mse = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale_is*x[i]);
|
|
l = MIN(nmax, l);
|
|
float diff = x[i] - scale_is*l;
|
|
float w = quant_weights[i];
|
|
mse += w*diff*diff;
|
|
}
|
|
if (mse < best_mse) {
|
|
best_mse = mse;
|
|
iscale = iscale_is;
|
|
}
|
|
}
|
|
float sumlx = 0;
|
|
float suml2 = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
int l = nearest_int(iscale * x[i]);
|
|
l = MIN(nmax, l);
|
|
L[i] = l;
|
|
float w = quant_weights[i];
|
|
sumlx += w*x[i]*l;
|
|
suml2 += w*l*l;
|
|
}
|
|
for (int itry = 0; itry < 5; ++itry) {
|
|
int n_changed = 0;
|
|
for (int i = 0; i < n; ++i) {
|
|
float w = quant_weights[i];
|
|
float slx = sumlx - w*x[i]*L[i];
|
|
float sl2 = suml2 - w*L[i]*L[i];
|
|
if (slx > 0 && sl2 > 0) {
|
|
int new_l = nearest_int(x[i] * sl2 / slx);
|
|
new_l = MIN(nmax, new_l);
|
|
if (new_l != L[i]) {
|
|
slx += w*x[i]*new_l;
|
|
sl2 += w*new_l*new_l;
|
|
if (slx*slx*suml2 > sumlx*sumlx*sl2) {
|
|
L[i] = new_l; sumlx = slx; suml2 = sl2;
|
|
++n_changed;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
if (!n_changed) {
|
|
break;
|
|
}
|
|
}
|
|
return sumlx / suml2;
|
|
}
|
|
|
|
static void quantize_row_q2_K_impl(const float * restrict x, block_q2_K * restrict y, int k, const float * restrict quant_weights) {
|
|
GGML_ASSERT(quant_weights);
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
const bool requantize = true;
|
|
|
|
uint8_t L[QK_K];
|
|
uint8_t Laux[16];
|
|
float mins[QK_K/16];
|
|
float scales[QK_K/16];
|
|
float sw[QK_K/16];
|
|
float weight[16];
|
|
uint8_t Ls[QK_K/16], Lm[QK_K/16];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
memset(sw, 0, QK_K/16*sizeof(float));
|
|
float sumx2 = 0;
|
|
for (int j = 0; j < QK_K; ++j) sumx2 += x[j]*x[j];
|
|
float sigma2 = sumx2/QK_K;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
const float * restrict qw = quant_weights + QK_K * i + 16*j;
|
|
for (int l = 0; l < 16; ++l) weight[l] = qw[l] * sqrtf(sigma2 + x[16*j + l]*x[16*j + l]);
|
|
for (int l = 0; l < QK_K/16; ++l) sw[j] += weight[l];
|
|
scales[j] = make_qkx3_quants(16, 3, x + 16*j, weight, L + 16*j, &mins[j], Laux, -0.9f, 0.05f, 36, false);
|
|
}
|
|
|
|
float dm, mm;
|
|
#if QK_K == 64
|
|
float max_scale = 0, max_min = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
max_scale = MAX(max_scale, scales[j]);
|
|
max_min = MAX(max_min, mins[j]);
|
|
}
|
|
dm = max_scale/15;
|
|
mm = max_min/15;
|
|
if (max_scale) {
|
|
float id = 1/dm;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = nearest_int(id*scales[j]);
|
|
Ls[j] = MAX(0, MIN(15, l));
|
|
}
|
|
} else {
|
|
memset(Ls, 0, QK_K/16);
|
|
}
|
|
if (max_min) {
|
|
float id = 1/mm;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = nearest_int(id*mins[j]);
|
|
Lm[j] = MAX(0, MIN(15, l));
|
|
}
|
|
} else {
|
|
memset(Lm, 0, QK_K/16);
|
|
}
|
|
#else
|
|
dm = make_qp_quants(QK_K/16, 15, scales, Ls, sw);
|
|
mm = make_qp_quants(QK_K/16, 15, mins, Lm, sw);
|
|
#endif
|
|
y[i].d = GGML_FP32_TO_FP16(dm);
|
|
y[i].dmin = GGML_FP32_TO_FP16(mm);
|
|
dm = GGML_FP16_TO_FP32(y[i].d);
|
|
mm = GGML_FP16_TO_FP32(y[i].dmin);
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
y[i].scales[j] = Ls[j] | (Lm[j] << 4);
|
|
}
|
|
|
|
if (requantize) {
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
const float d = dm * (y[i].scales[j] & 0xF);
|
|
if (!d) continue;
|
|
const float m = mm * (y[i].scales[j] >> 4);
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int((x[16*j + ii] + m)/d);
|
|
l = MAX(0, MIN(3, l));
|
|
L[16*j + ii] = l;
|
|
}
|
|
}
|
|
}
|
|
|
|
#if QK_K == 256
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
|
|
}
|
|
}
|
|
#else
|
|
for (int l = 0; l < 16; ++l) {
|
|
y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
|
|
}
|
|
#endif
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
}
|
|
|
|
size_t quantize_q2_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q2_K, n_per_row);
|
|
if (!quant_weights) {
|
|
quantize_row_q2_K_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
}
|
|
else {
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q2_K_impl(src, (block_q2_K*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
//========================= 3-bit (de)-quantization
|
|
|
|
void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
int8_t L[QK_K];
|
|
float scales[QK_K / 16];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float max_scale = 0;
|
|
float amax = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
scales[j] = make_q3_quants(16, 4, x + 16*j, L + 16*j, true);
|
|
float scale = fabsf(scales[j]);
|
|
if (scale > amax) {
|
|
amax = scale; max_scale = scales[j];
|
|
}
|
|
}
|
|
|
|
#if QK_K == 256
|
|
memset(y[i].scales, 0, 12);
|
|
if (max_scale) {
|
|
float iscale = -32.f/max_scale;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int8_t l = nearest_int(iscale*scales[j]);
|
|
l = MAX(-32, MIN(31, l)) + 32;
|
|
if (j < 8) {
|
|
y[i].scales[j] = l & 0xF;
|
|
} else {
|
|
y[i].scales[j-8] |= ((l & 0xF) << 4);
|
|
}
|
|
l >>= 4;
|
|
y[i].scales[j%4 + 8] |= (l << (2*(j/4)));
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(1/iscale);
|
|
} else {
|
|
y[i].d = GGML_FP32_TO_FP16(0.f);
|
|
}
|
|
|
|
int8_t sc;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
sc = j < 8 ? y[i].scales[j] & 0xF : y[i].scales[j-8] >> 4;
|
|
sc = (sc | (((y[i].scales[8 + j%4] >> (2*(j/4))) & 3) << 4)) - 32;
|
|
float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) {
|
|
continue;
|
|
}
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-4, MIN(3, l));
|
|
L[16*j + ii] = l + 4;
|
|
}
|
|
}
|
|
#else
|
|
if (max_scale) {
|
|
float iscale = -8.f/max_scale;
|
|
for (int j = 0; j < QK_K/16; j+=2) {
|
|
int l1 = nearest_int(iscale*scales[j]);
|
|
l1 = 8 + MAX(-8, MIN(7, l1));
|
|
int l2 = nearest_int(iscale*scales[j+1]);
|
|
l2 = 8 + MAX(-8, MIN(7, l2));
|
|
y[i].scales[j/2] = l1 | (l2 << 4);
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(1/iscale);
|
|
} else {
|
|
for (int j = 0; j < QK_K/16; j+=2) {
|
|
y[i].scales[j/2] = 0;
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(0.f);
|
|
}
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int s = j%2 == 0 ? y[i].scales[j/2] & 0xF : y[i].scales[j/2] >> 4;
|
|
float d = GGML_FP16_TO_FP32(y[i].d) * (s - 8);
|
|
if (!d) {
|
|
continue;
|
|
}
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-4, MIN(3, l));
|
|
L[16*j + ii] = l + 4;
|
|
}
|
|
}
|
|
#endif
|
|
|
|
memset(y[i].hmask, 0, QK_K/8);
|
|
// We put the high-bit for the 1st 8 quants into bit 0, the next 8 into bit 1, etc.
|
|
int m = 0;
|
|
uint8_t hm = 1;
|
|
for (int j = 0; j < QK_K; ++j) {
|
|
if (L[j] > 3) {
|
|
y[i].hmask[m] |= hm;
|
|
L[j] -= 4;
|
|
}
|
|
if (++m == QK_K/8) {
|
|
m = 0; hm <<= 1;
|
|
}
|
|
}
|
|
#if QK_K == 256
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
|
|
}
|
|
}
|
|
#else
|
|
for (int l = 0; l < 16; ++l) {
|
|
y[i].qs[l] = L[l] | (L[l + 16] << 2) | (L[l + 32] << 4) | (L[l + 48] << 6);
|
|
}
|
|
#endif
|
|
|
|
x += QK_K;
|
|
}
|
|
}
|
|
|
|
#if QK_K == 256
|
|
void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
const uint32_t kmask1 = 0x03030303;
|
|
const uint32_t kmask2 = 0x0f0f0f0f;
|
|
|
|
uint32_t aux[4];
|
|
const int8_t * scales = (const int8_t*)aux;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d_all = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].hmask;
|
|
uint8_t m = 1;
|
|
|
|
memcpy(aux, x[i].scales, 12);
|
|
uint32_t tmp = aux[2];
|
|
aux[2] = ((aux[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
|
|
aux[3] = ((aux[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
|
|
aux[0] = (aux[0] & kmask2) | (((tmp >> 0) & kmask1) << 4);
|
|
aux[1] = (aux[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
|
|
|
|
int is = 0;
|
|
float dl;
|
|
for (int n = 0; n < QK_K; n += 128) {
|
|
int shift = 0;
|
|
for (int j = 0; j < 4; ++j) {
|
|
|
|
dl = d_all * (scales[is++] - 32);
|
|
for (int l = 0; l < 16; ++l) {
|
|
*y++ = dl * ((int8_t)((q[l+ 0] >> shift) & 3) - ((hm[l+ 0] & m) ? 0 : 4));
|
|
}
|
|
|
|
dl = d_all * (scales[is++] - 32);
|
|
for (int l = 0; l < 16; ++l) {
|
|
*y++ = dl * ((int8_t)((q[l+16] >> shift) & 3) - ((hm[l+16] & m) ? 0 : 4));
|
|
}
|
|
|
|
shift += 2;
|
|
m <<= 1;
|
|
}
|
|
q += 32;
|
|
}
|
|
|
|
}
|
|
}
|
|
#else
|
|
void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
assert(QK_K == 64);
|
|
const int nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d_all = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].hmask;
|
|
|
|
const float d1 = d_all * ((x[i].scales[0] & 0xF) - 8);
|
|
const float d2 = d_all * ((x[i].scales[0] >> 4) - 8);
|
|
const float d3 = d_all * ((x[i].scales[1] & 0xF) - 8);
|
|
const float d4 = d_all * ((x[i].scales[1] >> 4) - 8);
|
|
|
|
for (int l=0; l<8; ++l) {
|
|
uint8_t h = hm[l];
|
|
y[l+ 0] = d1 * ((int8_t)((q[l+0] >> 0) & 3) - ((h & 0x01) ? 0 : 4));
|
|
y[l+ 8] = d1 * ((int8_t)((q[l+8] >> 0) & 3) - ((h & 0x02) ? 0 : 4));
|
|
y[l+16] = d2 * ((int8_t)((q[l+0] >> 2) & 3) - ((h & 0x04) ? 0 : 4));
|
|
y[l+24] = d2 * ((int8_t)((q[l+8] >> 2) & 3) - ((h & 0x08) ? 0 : 4));
|
|
y[l+32] = d3 * ((int8_t)((q[l+0] >> 4) & 3) - ((h & 0x10) ? 0 : 4));
|
|
y[l+40] = d3 * ((int8_t)((q[l+8] >> 4) & 3) - ((h & 0x20) ? 0 : 4));
|
|
y[l+48] = d4 * ((int8_t)((q[l+0] >> 6) & 3) - ((h & 0x40) ? 0 : 4));
|
|
y[l+56] = d4 * ((int8_t)((q[l+8] >> 6) & 3) - ((h & 0x80) ? 0 : 4));
|
|
}
|
|
y += QK_K;
|
|
}
|
|
}
|
|
#endif
|
|
|
|
void quantize_row_q3_K(const float * restrict x, void * restrict vy, int64_t k) {
|
|
quantize_row_q3_K_reference(x, vy, k);
|
|
}
|
|
|
|
static void quantize_row_q3_K_impl(const float * restrict x, block_q3_K * restrict y, int64_t n_per_row, const float * restrict quant_weights) {
|
|
#if QK_K != 256
|
|
(void)quant_weights;
|
|
quantize_row_q3_K_reference(x, y, n_per_row);
|
|
#else
|
|
assert(n_per_row % QK_K == 0);
|
|
const int nb = n_per_row / QK_K;
|
|
|
|
int8_t L[QK_K];
|
|
float scales[QK_K / 16];
|
|
float weight[16];
|
|
float sw[QK_K / 16];
|
|
int8_t Ls[QK_K / 16];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float sumx2 = 0;
|
|
for (int j = 0; j < QK_K; ++j) sumx2 += x[j]*x[j];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights ? quant_weights + QK_K * i + 16*j : NULL;
|
|
for (int l = 0; l < 16; ++l) weight[l] = qw[l] * sqrtf(sigma2 + x[16*j+l]*x[16*j+l]);
|
|
} else {
|
|
for (int l = 0; l < 16; ++l) weight[l] = x[16*j+l]*x[16*j+l];
|
|
}
|
|
float sumw = 0;
|
|
for (int l = 0; l < 16; ++l) sumw += weight[l];
|
|
sw[j] = sumw;
|
|
|
|
scales[j] = make_qx_quants(16, 4, x + 16*j, L + 16*j, 1, weight);
|
|
|
|
}
|
|
|
|
memset(y[i].scales, 0, 12);
|
|
|
|
float d_block = make_qx_quants(QK_K/16, 32, scales, Ls, 1, sw);
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = Ls[j];
|
|
if (j < 8) {
|
|
y[i].scales[j] = l & 0xF;
|
|
} else {
|
|
y[i].scales[j-8] |= ((l & 0xF) << 4);
|
|
}
|
|
l >>= 4;
|
|
y[i].scales[j%4 + 8] |= (l << (2*(j/4)));
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(d_block);
|
|
|
|
int8_t sc;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
sc = j < 8 ? y[i].scales[j] & 0xF : y[i].scales[j-8] >> 4;
|
|
sc = (sc | (((y[i].scales[8 + j%4] >> (2*(j/4))) & 3) << 4)) - 32;
|
|
float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) {
|
|
continue;
|
|
}
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-4, MIN(3, l));
|
|
L[16*j + ii] = l + 4;
|
|
}
|
|
}
|
|
|
|
memset(y[i].hmask, 0, QK_K/8);
|
|
// We put the high-bit for the 1st 8 quants into bit 0, the next 8 into bit 1, etc.
|
|
int m = 0;
|
|
uint8_t hm = 1;
|
|
for (int j = 0; j < QK_K; ++j) {
|
|
if (L[j] > 3) {
|
|
y[i].hmask[m] |= hm;
|
|
L[j] -= 4;
|
|
}
|
|
if (++m == QK_K/8) {
|
|
m = 0; hm <<= 1;
|
|
}
|
|
}
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6);
|
|
}
|
|
}
|
|
|
|
x += QK_K;
|
|
}
|
|
#endif
|
|
}
|
|
|
|
size_t quantize_q3_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q3_K, n_per_row);
|
|
if (!quant_weights) {
|
|
quantize_row_q3_K_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
}
|
|
else {
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q3_K_impl(src, (block_q3_K*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
// ====================== 4-bit (de)-quantization
|
|
|
|
void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
uint8_t L[QK_K];
|
|
uint8_t Laux[32];
|
|
float weights[32];
|
|
float mins[QK_K/32];
|
|
float scales[QK_K/32];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float max_scale = 0; // as we are deducting the min, scales are always positive
|
|
float max_min = 0;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
//scales[j] = make_qkx1_quants(32, 15, x + 32*j, L + 32*j, &mins[j], 9, 0.5f);
|
|
float sum_x2 = 0;
|
|
for (int l = 0; l < 32; ++l) sum_x2 += x[32*j + l] * x[32*j + l];
|
|
float av_x = sqrtf(sum_x2/32);
|
|
for (int l = 0; l < 32; ++l) weights[l] = av_x + fabsf(x[32*j + l]);
|
|
scales[j] = make_qkx2_quants(32, 15, x + 32*j, weights, L + 32*j, &mins[j], Laux, -1.f, 0.1f, 20, false);
|
|
float scale = scales[j];
|
|
if (scale > max_scale) {
|
|
max_scale = scale;
|
|
}
|
|
float min = mins[j];
|
|
if (min > max_min) {
|
|
max_min = min;
|
|
}
|
|
}
|
|
|
|
#if QK_K == 256
|
|
float inv_scale = max_scale > 0 ? 63.f/max_scale : 0.f;
|
|
float inv_min = max_min > 0 ? 63.f/max_min : 0.f;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
uint8_t ls = nearest_int(inv_scale*scales[j]);
|
|
uint8_t lm = nearest_int(inv_min*mins[j]);
|
|
ls = MIN(63, ls);
|
|
lm = MIN(63, lm);
|
|
if (j < 4) {
|
|
y[i].scales[j] = ls;
|
|
y[i].scales[j+4] = lm;
|
|
} else {
|
|
y[i].scales[j+4] = (ls & 0xF) | ((lm & 0xF) << 4);
|
|
y[i].scales[j-4] |= ((ls >> 4) << 6);
|
|
y[i].scales[j-0] |= ((lm >> 4) << 6);
|
|
}
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(max_scale/63.f);
|
|
y[i].dmin = GGML_FP32_TO_FP16(max_min/63.f);
|
|
|
|
uint8_t sc, m;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
get_scale_min_k4(j, y[i].scales, &sc, &m);
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) continue;
|
|
const float dm = GGML_FP16_TO_FP32(y[i].dmin) * m;
|
|
for (int ii = 0; ii < 32; ++ii) {
|
|
int l = nearest_int((x[32*j + ii] + dm)/d);
|
|
l = MAX(0, MIN(15, l));
|
|
L[32*j + ii] = l;
|
|
}
|
|
}
|
|
#else
|
|
const float s_factor = 15.f;
|
|
float inv_scale = max_scale > 0 ? s_factor/max_scale : 0.f;
|
|
float inv_min = max_min > 0 ? s_factor/max_min : 0.f;
|
|
int d1 = nearest_int(inv_scale*scales[0]);
|
|
int m1 = nearest_int(inv_min*mins[0]);
|
|
int d2 = nearest_int(inv_scale*scales[1]);
|
|
int m2 = nearest_int(inv_min*mins[1]);
|
|
y[i].scales[0] = d1 | (m1 << 4);
|
|
y[i].scales[1] = d2 | (m2 << 4);
|
|
y[i].d[0] = GGML_FP32_TO_FP16(max_scale/s_factor);
|
|
y[i].d[1] = GGML_FP32_TO_FP16(max_min/s_factor);
|
|
|
|
float sumlx = 0;
|
|
int suml2 = 0;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
const uint8_t sd = y[i].scales[j] & 0xF;
|
|
const uint8_t sm = y[i].scales[j] >> 4;
|
|
const float d = GGML_FP16_TO_FP32(y[i].d[0]) * sd;
|
|
if (!d) continue;
|
|
const float m = GGML_FP16_TO_FP32(y[i].d[1]) * sm;
|
|
for (int ii = 0; ii < 32; ++ii) {
|
|
int l = nearest_int((x[32*j + ii] + m)/d);
|
|
l = MAX(0, MIN(15, l));
|
|
L[32*j + ii] = l;
|
|
sumlx += (x[32*j + ii] + m)*l*sd;
|
|
suml2 += l*l*sd*sd;
|
|
}
|
|
}
|
|
if (suml2) {
|
|
y[i].d[0] = GGML_FP32_TO_FP16(sumlx/suml2);
|
|
}
|
|
#endif
|
|
uint8_t * q = y[i].qs;
|
|
for (int j = 0; j < QK_K; j += 64) {
|
|
for (int l = 0; l < 32; ++l) q[l] = L[j + l] | (L[j + l + 32] << 4);
|
|
q += 32;
|
|
}
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q4_K(const block_q4_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const uint8_t * q = x[i].qs;
|
|
|
|
#if QK_K == 256
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float min = GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
int is = 0;
|
|
uint8_t sc, m;
|
|
for (int j = 0; j < QK_K; j += 64) {
|
|
get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
|
|
const float d1 = d * sc; const float m1 = min * m;
|
|
get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
|
|
const float d2 = d * sc; const float m2 = min * m;
|
|
for (int l = 0; l < 32; ++l) *y++ = d1 * (q[l] & 0xF) - m1;
|
|
for (int l = 0; l < 32; ++l) *y++ = d2 * (q[l] >> 4) - m2;
|
|
q += 32; is += 2;
|
|
}
|
|
#else
|
|
const float dall = GGML_FP16_TO_FP32(x[i].d[0]);
|
|
const float mall = GGML_FP16_TO_FP32(x[i].d[1]);
|
|
const float d1 = dall * (x[i].scales[0] & 0xF), m1 = mall * (x[i].scales[0] >> 4);
|
|
const float d2 = dall * (x[i].scales[1] & 0xF), m2 = mall * (x[i].scales[1] >> 4);
|
|
for (int l = 0; l < 32; ++l) {
|
|
y[l+ 0] = d1 * (q[l] & 0xF) - m1;
|
|
y[l+32] = d2 * (q[l] >> 4) - m2;
|
|
}
|
|
y += QK_K;
|
|
#endif
|
|
|
|
}
|
|
}
|
|
|
|
void quantize_row_q4_K(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_q4_K * restrict y = vy;
|
|
quantize_row_q4_K_reference(x, y, k);
|
|
}
|
|
|
|
static void quantize_row_q4_K_impl(const float * restrict x, block_q4_K * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
#if QK_K != 256
|
|
(void)quant_weights;
|
|
quantize_row_q4_K_reference(x, y, n_per_row);
|
|
#else
|
|
assert(n_per_row % QK_K == 0);
|
|
const int64_t nb = n_per_row / QK_K;
|
|
|
|
uint8_t L[QK_K];
|
|
uint8_t Laux[32];
|
|
uint8_t Ls[QK_K/32];
|
|
uint8_t Lm[QK_K/32];
|
|
float weights[32];
|
|
float sw[QK_K/32];
|
|
float mins[QK_K/32];
|
|
float scales[QK_K/32];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float sum_x2 = 0;
|
|
for (int l = 0; l < QK_K; ++l) sum_x2 += x[l] * x[l];
|
|
float sigma2 = 2*sum_x2/QK_K;
|
|
float av_x = sqrtf(sigma2);
|
|
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*i + 32*j;
|
|
for (int l = 0; l < 32; ++l) weights[l] = qw[l] * sqrtf(sigma2 + x[32*j + l]*x[32*j + l]);
|
|
} else {
|
|
for (int l = 0; l < 32; ++l) weights[l] = av_x + fabsf(x[32*j + l]);
|
|
}
|
|
float sumw = 0;
|
|
for (int l = 0; l < 32; ++l) sumw += weights[l];
|
|
sw[j] = sumw;
|
|
scales[j] = make_qkx3_quants(32, 15, x + 32*j, weights, L + 32*j, &mins[j], Laux, -0.9f, 0.05f, 36, false);
|
|
}
|
|
|
|
float d_block = make_qp_quants(QK_K/32, 63, scales, Ls, sw);
|
|
float m_block = make_qp_quants(QK_K/32, 63, mins, Lm, sw);
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
uint8_t ls = Ls[j];
|
|
uint8_t lm = Lm[j];
|
|
if (j < 4) {
|
|
y[i].scales[j] = ls;
|
|
y[i].scales[j+4] = lm;
|
|
} else {
|
|
y[i].scales[j+4] = (ls & 0xF) | ((lm & 0xF) << 4);
|
|
y[i].scales[j-4] |= ((ls >> 4) << 6);
|
|
y[i].scales[j-0] |= ((lm >> 4) << 6);
|
|
}
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(d_block);
|
|
y[i].dmin = GGML_FP32_TO_FP16(m_block);
|
|
|
|
uint8_t sc, m;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
get_scale_min_k4(j, y[i].scales, &sc, &m);
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) continue;
|
|
const float dm = GGML_FP16_TO_FP32(y[i].dmin) * m;
|
|
for (int ii = 0; ii < 32; ++ii) {
|
|
int l = nearest_int((x[32*j + ii] + dm)/d);
|
|
l = MAX(0, MIN(15, l));
|
|
L[32*j + ii] = l;
|
|
}
|
|
}
|
|
uint8_t * q = y[i].qs;
|
|
for (int j = 0; j < QK_K; j += 64) {
|
|
for (int l = 0; l < 32; ++l) q[l] = L[j + l] | (L[j + l + 32] << 4);
|
|
q += 32;
|
|
}
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
#endif
|
|
}
|
|
|
|
size_t quantize_q4_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q4_K, n_per_row);
|
|
if (!quant_weights) {
|
|
quantize_row_q4_K_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
}
|
|
else {
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q4_K_impl(src, (block_q4_K*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
// ====================== 5-bit (de)-quantization
|
|
|
|
void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
#if QK_K == 256
|
|
uint8_t L[QK_K];
|
|
float mins[QK_K/32];
|
|
float scales[QK_K/32];
|
|
float weights[32];
|
|
uint8_t Laux[32];
|
|
#else
|
|
int8_t L[QK_K];
|
|
float scales[QK_K/16];
|
|
#endif
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
#if QK_K == 256
|
|
|
|
float max_scale = 0; // as we are deducting the min, scales are always positive
|
|
float max_min = 0;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
//scales[j] = make_qkx1_quants(32, 31, x + 32*j, L + 32*j, &mins[j], 9, 0.5f);
|
|
float sum_x2 = 0;
|
|
for (int l = 0; l < 32; ++l) sum_x2 += x[32*j + l] * x[32*j + l];
|
|
float av_x = sqrtf(sum_x2/32);
|
|
for (int l = 0; l < 32; ++l) weights[l] = av_x + fabsf(x[32*j + l]);
|
|
scales[j] = make_qkx2_quants(32, 31, x + 32*j, weights, L + 32*j, &mins[j], Laux, -0.5f, 0.1f, 15, false);
|
|
float scale = scales[j];
|
|
if (scale > max_scale) {
|
|
max_scale = scale;
|
|
}
|
|
float min = mins[j];
|
|
if (min > max_min) {
|
|
max_min = min;
|
|
}
|
|
}
|
|
|
|
float inv_scale = max_scale > 0 ? 63.f/max_scale : 0.f;
|
|
float inv_min = max_min > 0 ? 63.f/max_min : 0.f;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
uint8_t ls = nearest_int(inv_scale*scales[j]);
|
|
uint8_t lm = nearest_int(inv_min*mins[j]);
|
|
ls = MIN(63, ls);
|
|
lm = MIN(63, lm);
|
|
if (j < 4) {
|
|
y[i].scales[j] = ls;
|
|
y[i].scales[j+4] = lm;
|
|
} else {
|
|
y[i].scales[j+4] = (ls & 0xF) | ((lm & 0xF) << 4);
|
|
y[i].scales[j-4] |= ((ls >> 4) << 6);
|
|
y[i].scales[j-0] |= ((lm >> 4) << 6);
|
|
}
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(max_scale/63.f);
|
|
y[i].dmin = GGML_FP32_TO_FP16(max_min/63.f);
|
|
|
|
uint8_t sc, m;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
get_scale_min_k4(j, y[i].scales, &sc, &m);
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) continue;
|
|
const float dm = GGML_FP16_TO_FP32(y[i].dmin) * m;
|
|
for (int ii = 0; ii < 32; ++ii) {
|
|
int l = nearest_int((x[32*j + ii] + dm)/d);
|
|
l = MAX(0, MIN(31, l));
|
|
L[32*j + ii] = l;
|
|
}
|
|
}
|
|
|
|
uint8_t * restrict qh = y[i].qh;
|
|
uint8_t * restrict ql = y[i].qs;
|
|
memset(qh, 0, QK_K/8);
|
|
|
|
uint8_t m1 = 1, m2 = 2;
|
|
for (int n = 0; n < QK_K; n += 64) {
|
|
for (int j = 0; j < 32; ++j) {
|
|
int l1 = L[n + j];
|
|
if (l1 > 15) {
|
|
l1 -= 16; qh[j] |= m1;
|
|
}
|
|
int l2 = L[n + j + 32];
|
|
if (l2 > 15) {
|
|
l2 -= 16; qh[j] |= m2;
|
|
}
|
|
ql[j] = l1 | (l2 << 4);
|
|
}
|
|
m1 <<= 2; m2 <<= 2;
|
|
ql += 32;
|
|
}
|
|
#else
|
|
float max_scale = 0, amax = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
scales[j] = make_qx_quants(16, 16, x + 16*j, L + 16*j, 1, NULL);
|
|
float abs_scale = fabsf(scales[j]);
|
|
if (abs_scale > amax) {
|
|
amax = abs_scale;
|
|
max_scale = scales[j];
|
|
}
|
|
}
|
|
|
|
float iscale = -128.f/max_scale;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int l = nearest_int(iscale*scales[j]);
|
|
y[i].scales[j] = MAX(-128, MIN(127, l));
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(1/iscale);
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * y[i].scales[j];
|
|
if (!d) continue;
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-16, MIN(15, l));
|
|
L[16*j + ii] = l + 16;
|
|
}
|
|
}
|
|
|
|
uint8_t * restrict qh = y[i].qh;
|
|
uint8_t * restrict ql = y[i].qs;
|
|
memset(qh, 0, QK_K/8);
|
|
|
|
for (int j = 0; j < 32; ++j) {
|
|
int jm = j%8;
|
|
int is = j/8;
|
|
int l1 = L[j];
|
|
if (l1 > 15) {
|
|
l1 -= 16; qh[jm] |= (1 << is);
|
|
}
|
|
int l2 = L[j + 32];
|
|
if (l2 > 15) {
|
|
l2 -= 16; qh[jm] |= (1 << (4 + is));
|
|
}
|
|
ql[j] = l1 | (l2 << 4);
|
|
}
|
|
#endif
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q5_K(const block_q5_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const uint8_t * ql = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
|
|
#if QK_K == 256
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const float min = GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
int is = 0;
|
|
uint8_t sc, m;
|
|
uint8_t u1 = 1, u2 = 2;
|
|
for (int j = 0; j < QK_K; j += 64) {
|
|
get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
|
|
const float d1 = d * sc; const float m1 = min * m;
|
|
get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
|
|
const float d2 = d * sc; const float m2 = min * m;
|
|
for (int l = 0; l < 32; ++l) *y++ = d1 * ((ql[l] & 0xF) + (qh[l] & u1 ? 16 : 0)) - m1;
|
|
for (int l = 0; l < 32; ++l) *y++ = d2 * ((ql[l] >> 4) + (qh[l] & u2 ? 16 : 0)) - m2;
|
|
ql += 32; is += 2;
|
|
u1 <<= 2; u2 <<= 2;
|
|
}
|
|
#else
|
|
float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const int8_t * restrict s = x[i].scales;
|
|
for (int l = 0; l < 8; ++l) {
|
|
y[l+ 0] = d * s[0] * ((ql[l+ 0] & 0xF) - (qh[l] & 0x01 ? 0 : 16));
|
|
y[l+ 8] = d * s[0] * ((ql[l+ 8] & 0xF) - (qh[l] & 0x02 ? 0 : 16));
|
|
y[l+16] = d * s[1] * ((ql[l+16] & 0xF) - (qh[l] & 0x04 ? 0 : 16));
|
|
y[l+24] = d * s[1] * ((ql[l+24] & 0xF) - (qh[l] & 0x08 ? 0 : 16));
|
|
y[l+32] = d * s[2] * ((ql[l+ 0] >> 4) - (qh[l] & 0x10 ? 0 : 16));
|
|
y[l+40] = d * s[2] * ((ql[l+ 8] >> 4) - (qh[l] & 0x20 ? 0 : 16));
|
|
y[l+48] = d * s[3] * ((ql[l+16] >> 4) - (qh[l] & 0x40 ? 0 : 16));
|
|
y[l+56] = d * s[3] * ((ql[l+24] >> 4) - (qh[l] & 0x80 ? 0 : 16));
|
|
}
|
|
y += QK_K;
|
|
#endif
|
|
}
|
|
}
|
|
|
|
void quantize_row_q5_K(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_q5_K * restrict y = vy;
|
|
quantize_row_q5_K_reference(x, y, k);
|
|
}
|
|
|
|
static void quantize_row_q5_K_impl(const float * restrict x, block_q5_K * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
#if QK_K != 256
|
|
(void)quant_weights;
|
|
quantize_row_q5_K_reference(x, y, n_per_row);
|
|
#else
|
|
assert(n_per_row % QK_K == 0);
|
|
const int64_t nb = n_per_row / QK_K;
|
|
|
|
uint8_t L[QK_K];
|
|
uint8_t Laux[32];
|
|
uint8_t Ls[QK_K/32];
|
|
uint8_t Lm[QK_K/32];
|
|
float mins[QK_K/32];
|
|
float scales[QK_K/32];
|
|
float sw[QK_K/32];
|
|
float weights[32];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float sum_x2 = 0;
|
|
for (int l = 0; l < QK_K; ++l) sum_x2 += x[l] * x[l];
|
|
float sigma2 = 2*sum_x2/QK_K;
|
|
float av_x = sqrtf(sigma2);
|
|
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*i + 32*j;
|
|
for (int l = 0; l < 32; ++l) weights[l] = qw[l] * sqrtf(sigma2 + x[32*j + l]*x[32*j + l]);
|
|
} else {
|
|
for (int l = 0; l < 32; ++l) weights[l] = av_x + fabsf(x[32*j + l]);
|
|
}
|
|
float sumw = 0;
|
|
for (int l = 0; l < 32; ++l) sumw += weights[l];
|
|
sw[j] = sumw;
|
|
|
|
scales[j] = make_qkx3_quants(32, 31, x + 32*j, weights, L + 32*j, &mins[j], Laux, -0.9f, 0.05f, 36, false);
|
|
}
|
|
|
|
float d_block = make_qp_quants(QK_K/32, 63, scales, Ls, sw);
|
|
float m_block = make_qp_quants(QK_K/32, 63, mins, Lm, sw);
|
|
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
uint8_t ls = Ls[j];
|
|
uint8_t lm = Lm[j];
|
|
ls = MIN(63, ls);
|
|
lm = MIN(63, lm);
|
|
if (j < 4) {
|
|
y[i].scales[j] = ls;
|
|
y[i].scales[j+4] = lm;
|
|
} else {
|
|
y[i].scales[j+4] = (ls & 0xF) | ((lm & 0xF) << 4);
|
|
y[i].scales[j-4] |= ((ls >> 4) << 6);
|
|
y[i].scales[j-0] |= ((lm >> 4) << 6);
|
|
}
|
|
}
|
|
y[i].d = GGML_FP32_TO_FP16(d_block);
|
|
y[i].dmin = GGML_FP32_TO_FP16(m_block);
|
|
|
|
uint8_t sc, m;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
get_scale_min_k4(j, y[i].scales, &sc, &m);
|
|
const float d = GGML_FP16_TO_FP32(y[i].d) * sc;
|
|
if (!d) continue;
|
|
const float dm = GGML_FP16_TO_FP32(y[i].dmin) * m;
|
|
for (int ii = 0; ii < 32; ++ii) {
|
|
int l = nearest_int((x[32*j + ii] + dm)/d);
|
|
l = MAX(0, MIN(31, l));
|
|
L[32*j + ii] = l;
|
|
}
|
|
}
|
|
|
|
uint8_t * restrict qh = y[i].qh;
|
|
uint8_t * restrict ql = y[i].qs;
|
|
memset(qh, 0, QK_K/8);
|
|
|
|
uint8_t m1 = 1, m2 = 2;
|
|
for (int n = 0; n < QK_K; n += 64) {
|
|
for (int j = 0; j < 32; ++j) {
|
|
int l1 = L[n + j];
|
|
if (l1 > 15) {
|
|
l1 -= 16; qh[j] |= m1;
|
|
}
|
|
int l2 = L[n + j + 32];
|
|
if (l2 > 15) {
|
|
l2 -= 16; qh[j] |= m2;
|
|
}
|
|
ql[j] = l1 | (l2 << 4);
|
|
}
|
|
m1 <<= 2; m2 <<= 2;
|
|
ql += 32;
|
|
}
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
#endif
|
|
}
|
|
|
|
size_t quantize_q5_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q5_K, n_per_row);
|
|
if (!quant_weights) {
|
|
quantize_row_q5_K_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
}
|
|
else {
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q5_K_impl(src, (block_q5_K*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
// ====================== 6-bit (de)-quantization
|
|
|
|
void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
int8_t L[QK_K];
|
|
float scales[QK_K/16];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float max_scale = 0;
|
|
float max_abs_scale = 0;
|
|
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
|
|
const float scale = make_qx_quants(16, 32, x + 16*ib, L + 16*ib, 1, NULL);
|
|
scales[ib] = scale;
|
|
|
|
const float abs_scale = fabsf(scale);
|
|
if (abs_scale > max_abs_scale) {
|
|
max_abs_scale = abs_scale;
|
|
max_scale = scale;
|
|
}
|
|
|
|
}
|
|
|
|
if (!max_abs_scale) {
|
|
memset(&y[i], 0, sizeof(block_q6_K));
|
|
y[i].d = GGML_FP32_TO_FP16(0.f);
|
|
x += QK_K;
|
|
continue;
|
|
}
|
|
|
|
float iscale = -128.f/max_scale;
|
|
y[i].d = GGML_FP32_TO_FP16(1/iscale);
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
y[i].scales[ib] = MIN(127, nearest_int(iscale*scales[ib]));
|
|
}
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
float d = GGML_FP16_TO_FP32(y[i].d) * y[i].scales[j];
|
|
if (!d) {
|
|
continue;
|
|
}
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-32, MIN(31, l));
|
|
L[16*j + ii] = l + 32;
|
|
}
|
|
}
|
|
|
|
uint8_t * restrict ql = y[i].ql;
|
|
uint8_t * restrict qh = y[i].qh;
|
|
#if QK_K == 256
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
const uint8_t q1 = L[j + l + 0] & 0xF;
|
|
const uint8_t q2 = L[j + l + 32] & 0xF;
|
|
const uint8_t q3 = L[j + l + 64] & 0xF;
|
|
const uint8_t q4 = L[j + l + 96] & 0xF;
|
|
ql[l+ 0] = q1 | (q3 << 4);
|
|
ql[l+32] = q2 | (q4 << 4);
|
|
qh[l] = (L[j + l] >> 4) | ((L[j + l + 32] >> 4) << 2) | ((L[j + l + 64] >> 4) << 4) | ((L[j + l + 96] >> 4) << 6);
|
|
}
|
|
ql += 64;
|
|
qh += 32;
|
|
}
|
|
#else
|
|
for (int l = 0; l < 32; ++l) {
|
|
const uint8_t q1 = L[l + 0] & 0xF;
|
|
const uint8_t q2 = L[l + 32] & 0xF;
|
|
ql[l] = q1 | (q2 << 4);
|
|
}
|
|
for (int l = 0; l < 16; ++l) {
|
|
qh[l] = (L[l] >> 4) | ((L[l + 16] >> 4) << 2) | ((L[l + 32] >> 4) << 4) | ((L[l + 48] >> 4) << 6);
|
|
}
|
|
#endif
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q6_K(const block_q6_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict ql = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict sc = x[i].scales;
|
|
|
|
#if QK_K == 256
|
|
for (int n = 0; n < QK_K; n += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
int is = l/16;
|
|
const int8_t q1 = (int8_t)((ql[l + 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
|
|
const int8_t q2 = (int8_t)((ql[l + 32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
|
|
const int8_t q3 = (int8_t)((ql[l + 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32;
|
|
const int8_t q4 = (int8_t)((ql[l + 32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32;
|
|
y[l + 0] = d * sc[is + 0] * q1;
|
|
y[l + 32] = d * sc[is + 2] * q2;
|
|
y[l + 64] = d * sc[is + 4] * q3;
|
|
y[l + 96] = d * sc[is + 6] * q4;
|
|
}
|
|
y += 128;
|
|
ql += 64;
|
|
qh += 32;
|
|
sc += 8;
|
|
}
|
|
#else
|
|
for (int l = 0; l < 16; ++l) {
|
|
const int8_t q1 = (int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
|
|
const int8_t q2 = (int8_t)((ql[l+16] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
|
|
const int8_t q3 = (int8_t)((ql[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32;
|
|
const int8_t q4 = (int8_t)((ql[l+16] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32;
|
|
y[l+ 0] = d * sc[0] * q1;
|
|
y[l+16] = d * sc[1] * q2;
|
|
y[l+32] = d * sc[2] * q3;
|
|
y[l+48] = d * sc[3] * q4;
|
|
}
|
|
y += 64;
|
|
#endif
|
|
|
|
}
|
|
}
|
|
|
|
void quantize_row_q6_K(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_q6_K * restrict y = vy;
|
|
quantize_row_q6_K_reference(x, y, k);
|
|
}
|
|
|
|
static void quantize_row_q6_K_impl(const float * restrict x, block_q6_K * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
#if QK_K != 256
|
|
(void)quant_weights;
|
|
quantize_row_q6_K_reference(x, y, n_per_row);
|
|
#else
|
|
assert(n_per_row % QK_K == 0);
|
|
const int64_t nb = n_per_row / QK_K;
|
|
|
|
int8_t L[QK_K];
|
|
float scales[QK_K/16];
|
|
//float weights[16];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
//float sum_x2 = 0;
|
|
//for (int j = 0; j < QK_K; ++j) sum_x2 += x[j]*x[j];
|
|
//float sigma2 = sum_x2/QK_K;
|
|
|
|
float max_scale = 0;
|
|
float max_abs_scale = 0;
|
|
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
|
|
float scale;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*i + 16*ib;
|
|
//for (int j = 0; j < 16; ++j) weights[j] = qw[j] * sqrtf(sigma2 + x[16*ib + j]*x[16*ib + j]);
|
|
//scale = make_qx_quants(16, 32, x + 16*ib, L + 16*ib, 1, weights);
|
|
scale = make_qx_quants(16, 32, x + 16*ib, L + 16*ib, 1, qw);
|
|
} else {
|
|
scale = make_qx_quants(16, 32, x + 16*ib, L + 16*ib, 1, NULL);
|
|
}
|
|
scales[ib] = scale;
|
|
|
|
const float abs_scale = fabsf(scale);
|
|
if (abs_scale > max_abs_scale) {
|
|
max_abs_scale = abs_scale;
|
|
max_scale = scale;
|
|
}
|
|
|
|
}
|
|
|
|
if (!max_abs_scale) {
|
|
memset(&y[i], 0, sizeof(block_q6_K));
|
|
y[i].d = GGML_FP32_TO_FP16(0.f);
|
|
x += QK_K;
|
|
continue;
|
|
}
|
|
|
|
float iscale = -128.f/max_scale;
|
|
y[i].d = GGML_FP32_TO_FP16(1/iscale);
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
y[i].scales[ib] = MIN(127, nearest_int(iscale*scales[ib]));
|
|
}
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
float d = GGML_FP16_TO_FP32(y[i].d) * y[i].scales[j];
|
|
if (!d) {
|
|
continue;
|
|
}
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
int l = nearest_int(x[16*j + ii]/d);
|
|
l = MAX(-32, MIN(31, l));
|
|
L[16*j + ii] = l + 32;
|
|
}
|
|
}
|
|
|
|
uint8_t * restrict ql = y[i].ql;
|
|
uint8_t * restrict qh = y[i].qh;
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
const uint8_t q1 = L[j + l + 0] & 0xF;
|
|
const uint8_t q2 = L[j + l + 32] & 0xF;
|
|
const uint8_t q3 = L[j + l + 64] & 0xF;
|
|
const uint8_t q4 = L[j + l + 96] & 0xF;
|
|
ql[l+ 0] = q1 | (q3 << 4);
|
|
ql[l+32] = q2 | (q4 << 4);
|
|
qh[l] = (L[j + l] >> 4) | ((L[j + l + 32] >> 4) << 2) | ((L[j + l + 64] >> 4) << 4) | ((L[j + l + 96] >> 4) << 6);
|
|
}
|
|
ql += 64;
|
|
qh += 32;
|
|
}
|
|
|
|
x += QK_K;
|
|
|
|
}
|
|
#endif
|
|
}
|
|
|
|
size_t quantize_q6_K(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q6_K, n_per_row);
|
|
if (!quant_weights) {
|
|
quantize_row_q6_K_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
}
|
|
else {
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q6_K_impl(src, (block_q6_K*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
static void quantize_row_q4_0_impl(const float * restrict x, block_q4_0 * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
static_assert(QK4_0 == 32, "QK4_0 must be 32");
|
|
|
|
if (!quant_weights) {
|
|
quantize_row_q4_0_reference(x, y, n_per_row);
|
|
return;
|
|
}
|
|
|
|
float weight[QK4_0];
|
|
int8_t L[QK4_0];
|
|
|
|
float sum_x2 = 0;
|
|
for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
|
|
float sigma2 = sum_x2/n_per_row;
|
|
|
|
const int64_t nb = n_per_row/QK4_0;
|
|
for (int ib = 0; ib < nb; ++ib) {
|
|
const float * xb = x + QK4_0 * ib;
|
|
const float * qw = quant_weights + QK4_0 * ib;
|
|
for (int j = 0; j < QK4_0; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
|
|
float d = make_qx_quants(QK4_0, 8, xb, L, 1, weight);
|
|
y[ib].d = GGML_FP32_TO_FP16(d);
|
|
for (int j = 0; j < 16; ++j) {
|
|
y[ib].qs[j] = L[j] | (L[j+16] << 4);
|
|
}
|
|
}
|
|
}
|
|
|
|
size_t quantize_q4_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
if (!quant_weights) {
|
|
quantize_row_q4_0_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
return nrow * ggml_row_size(GGML_TYPE_Q4_0, n_per_row);
|
|
}
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q4_0, n_per_row);
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q4_0_impl(src, (block_q4_0*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
static void quantize_row_q4_1_impl(const float * restrict x, block_q4_1 * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
static_assert(QK4_1 == 32, "QK4_1 must be 32");
|
|
|
|
if (!quant_weights) {
|
|
quantize_row_q4_1_reference(x, y, n_per_row);
|
|
return;
|
|
}
|
|
|
|
float weight[QK4_1];
|
|
uint8_t L[QK4_1], Laux[QK4_1];
|
|
|
|
float sum_x2 = 0;
|
|
for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
|
|
float sigma2 = sum_x2/n_per_row;
|
|
|
|
const int64_t nb = n_per_row/QK4_1;
|
|
for (int ib = 0; ib < nb; ++ib) {
|
|
const float * xb = x + QK4_1 * ib;
|
|
const float * qw = quant_weights + QK4_1 * ib;
|
|
for (int j = 0; j < QK4_1; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
|
|
float min;
|
|
float d = make_qkx3_quants(QK4_1, 15, xb, weight, L, &min, Laux, -0.9f, 0.05f, 36, false);
|
|
y[ib].d = GGML_FP32_TO_FP16(d);
|
|
y[ib].m = GGML_FP32_TO_FP16(-min);
|
|
for (int j = 0; j < 16; ++j) {
|
|
y[ib].qs[j] = L[j] | (L[j+16] << 4);
|
|
}
|
|
}
|
|
}
|
|
|
|
size_t quantize_q4_1(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
if (!quant_weights) {
|
|
quantize_row_q4_1_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
return nrow * ggml_row_size(GGML_TYPE_Q4_1, n_per_row);
|
|
}
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q4_1, n_per_row);
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q4_1_impl(src, (block_q4_1*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
static void quantize_row_q5_0_impl(const float * restrict x, block_q5_0 * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
static_assert(QK5_0 == 32, "QK5_0 must be 32");
|
|
|
|
if (!quant_weights) {
|
|
quantize_row_q5_0_reference(x, y, n_per_row);
|
|
return;
|
|
}
|
|
|
|
float weight[QK5_0];
|
|
int8_t L[QK5_0];
|
|
|
|
float sum_x2 = 0;
|
|
for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
|
|
float sigma2 = sum_x2/n_per_row;
|
|
|
|
const int64_t nb = n_per_row/QK5_0;
|
|
for (int ib = 0; ib < nb; ++ib) {
|
|
const float * xb = x + QK5_0 * ib;
|
|
const float * qw = quant_weights + QK5_0 * ib;
|
|
for (int j = 0; j < QK5_0; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
|
|
float d = make_qx_quants(QK5_0, 16, xb, L, 1, weight);
|
|
y[ib].d = GGML_FP32_TO_FP16(d);
|
|
|
|
uint32_t qh = 0;
|
|
|
|
for (int j = 0; j < 16; ++j) {
|
|
const uint8_t xi0 = L[j];
|
|
const uint8_t xi1 = L[j+16];
|
|
y[ib].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
|
|
|
|
// get the 5-th bit and store it in qh at the right position
|
|
qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
|
|
qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2);
|
|
}
|
|
|
|
memcpy(&y[ib].qh, &qh, sizeof(qh));
|
|
}
|
|
}
|
|
|
|
size_t quantize_q5_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
if (!quant_weights) {
|
|
quantize_row_q5_0_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
return nrow * ggml_row_size(GGML_TYPE_Q5_0, n_per_row);
|
|
}
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q5_0, n_per_row);
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q5_0_impl(src, (block_q5_0*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
static void quantize_row_q5_1_impl(const float * restrict x, block_q5_1 * restrict y, int64_t n_per_row, const float * quant_weights) {
|
|
static_assert(QK5_1 == 32, "QK5_1 must be 32");
|
|
|
|
if (!quant_weights) {
|
|
quantize_row_q5_1_reference(x, y, n_per_row);
|
|
return;
|
|
}
|
|
|
|
float weight[QK5_1];
|
|
uint8_t L[QK5_1], Laux[QK5_1];
|
|
|
|
float sum_x2 = 0;
|
|
for (int j = 0; j < n_per_row; ++j) sum_x2 += x[j]*x[j];
|
|
float sigma2 = sum_x2/n_per_row;
|
|
|
|
const int64_t nb = n_per_row/QK5_1;
|
|
for (int ib = 0; ib < nb; ++ib) {
|
|
const float * xb = x + QK5_1 * ib;
|
|
const float * qw = quant_weights + QK5_1 * ib;
|
|
for (int j = 0; j < QK5_1; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
|
|
float min;
|
|
float d = make_qkx3_quants(QK5_1, 31, xb, weight, L, &min, Laux, -0.9f, 0.05f, 36, false);
|
|
y[ib].d = GGML_FP32_TO_FP16(d);
|
|
y[ib].m = GGML_FP32_TO_FP16(-min);
|
|
|
|
uint32_t qh = 0;
|
|
for (int j = 0; j < 16; ++j) {
|
|
const uint8_t xi0 = L[j];
|
|
const uint8_t xi1 = L[j+16];
|
|
y[ib].qs[j] = (xi0 & 0x0F) | ((xi1 & 0x0F) << 4);
|
|
// get the 5-th bit and store it in qh at the right position
|
|
qh |= ((xi0 & 0x10u) >> 4) << (j + 0);
|
|
qh |= ((xi1 & 0x10u) >> 4) << (j + QK5_0/2);
|
|
}
|
|
memcpy(&y[ib].qh, &qh, sizeof(qh));
|
|
}
|
|
}
|
|
|
|
size_t quantize_q5_1(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
if (!quant_weights) {
|
|
quantize_row_q5_1_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
return nrow * ggml_row_size(GGML_TYPE_Q5_1, n_per_row);
|
|
}
|
|
size_t row_size = ggml_row_size(GGML_TYPE_Q5_1, n_per_row);
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_q5_1_impl(src, (block_q5_1*)qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += row_size;
|
|
}
|
|
return nrow * row_size;
|
|
}
|
|
|
|
size_t quantize_q8_0(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
(void)quant_weights; // not used
|
|
const size_t row_size = ggml_row_size(GGML_TYPE_Q8_0, n_per_row);
|
|
quantize_row_q8_0_reference(src, dst, (int64_t)nrow*n_per_row);
|
|
return nrow * row_size;
|
|
}
|
|
|
|
// ====================== "True" 2-bit (de)-quantization
|
|
|
|
void dequantize_row_iq2_xxs(const block_iq2_xxs * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
uint32_t aux32[2];
|
|
const uint8_t * aux8 = (const uint8_t *)aux32;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
memcpy(aux32, x[i].qs + 4*ib32, 2*sizeof(uint32_t));
|
|
const float db = d * (0.5f + (aux32[1] >> 28)) * 0.25f;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]);
|
|
const uint8_t signs = ksigns_iq2xs[(aux32[1] >> 7*l) & 127];
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = db * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// ====================== 2.3125 bpw (de)-quantization
|
|
|
|
void dequantize_row_iq2_xs(const block_iq2_xs * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
float db[2];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
db[0] = d * (0.5f + (x[i].scales[ib32] & 0xf)) * 0.25f;
|
|
db[1] = d * (0.5f + (x[i].scales[ib32] >> 4)) * 0.25f;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (x[i].qs[4*ib32 + l] & 511));
|
|
const uint8_t signs = ksigns_iq2xs[x[i].qs[4*ib32 + l] >> 9];
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = db[l/2] * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// ====================== 2.5625 bpw (de)-quantization
|
|
|
|
void dequantize_row_iq2_s(const block_iq2_s * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
float db[2];
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint8_t * signs = qs + QK_K/8;
|
|
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
db[0] = d * (0.5f + (x[i].scales[ib32] & 0xf)) * 0.25f;
|
|
db[1] = d * (0.5f + (x[i].scales[ib32] >> 4)) * 0.25f;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const float dl = db[l/2];
|
|
const uint8_t * grid = (const uint8_t *)(iq2s_grid + (qs[l] | (qh[ib32] << (8-2*l) & 0x300)));
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = dl * grid[j] * (signs[l] & kmask_iq2xs[j] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
qs += 4;
|
|
signs += 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
// ====================== 3.0625 bpw (de)-quantization
|
|
|
|
void dequantize_row_iq3_xxs(const block_iq3_xxs * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
uint32_t aux32;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * scales_and_signs = qs + QK_K/4;
|
|
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
memcpy(&aux32, scales_and_signs + 4*ib32, sizeof(uint32_t));
|
|
const float db = d * (0.5f + (aux32 >> 28)) * 0.5f;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*l) & 127];
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + qs[2*l+0]);
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + qs[2*l+1]);
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+0] = db * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
|
|
y[j+4] = db * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
qs += 8;
|
|
}
|
|
}
|
|
}
|
|
|
|
// ====================== 3.3125 bpw (de)-quantization
|
|
|
|
void dequantize_row_iq3_s(const block_iq3_s * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint8_t * signs = x[i].signs;
|
|
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const float db1 = d * (1 + 2*(x[i].scales[ib32/2] & 0xf));
|
|
const float db2 = d * (1 + 2*(x[i].scales[ib32/2] >> 4));
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*l+0] | ((qh[0] << (8-2*l)) & 256)));
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*l+1] | ((qh[0] << (7-2*l)) & 256)));
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+0] = db1 * grid1[j] * (signs[l] & kmask_iq2xs[j+0] ? -1.f : 1.f);
|
|
y[j+4] = db1 * grid2[j] * (signs[l] & kmask_iq2xs[j+4] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
qs += 8;
|
|
signs += 4;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*l+0] | ((qh[1] << (8-2*l)) & 256)));
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*l+1] | ((qh[1] << (7-2*l)) & 256)));
|
|
for (int j = 0; j < 4; ++j) {
|
|
y[j+0] = db2 * grid1[j] * (signs[l] & kmask_iq2xs[j+0] ? -1.f : 1.f);
|
|
y[j+4] = db2 * grid2[j] * (signs[l] & kmask_iq2xs[j+4] ? -1.f : 1.f);
|
|
}
|
|
y += 8;
|
|
}
|
|
qh += 2;
|
|
qs += 8;
|
|
signs += 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
// ====================== 1.5625 bpw (de)-quantization
|
|
|
|
void dequantize_row_iq1_s(const block_iq1_s * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint16_t * qh = x[i].qh;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
const float dl = d * (2*((qh[ib] >> 12) & 7) + 1);
|
|
const float delta = qh[ib] & 0x8000 ? -IQ1S_DELTA : IQ1S_DELTA;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const int8_t * grid = (const int8_t *)(iq1s_grid + (qs[l] | (((qh[ib] >> 3*l) & 7) << 8)));
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = dl * (grid[j] + delta);
|
|
}
|
|
y += 8;
|
|
}
|
|
qs += 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
void dequantize_row_iq1_m(const block_iq1_m * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
float delta[4];
|
|
uint16_t idx[4];
|
|
|
|
#if QK_K != 64
|
|
iq1m_scale_t scale;
|
|
#endif
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const uint16_t * sc = (const uint16_t *)x[i].scales;
|
|
#if QK_K == 64
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
#else
|
|
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
|
|
const float d = GGML_FP16_TO_FP32(scale.f16);
|
|
#endif
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
#if QK_K == 64
|
|
const float dl1 = d * (2*((sc[ib/2] >> (8*(ib%2)+0)) & 0xf) + 1);
|
|
const float dl2 = d * (2*((sc[ib/2] >> (8*(ib%2)+4)) & 0xf) + 1);
|
|
#else
|
|
const float dl1 = d * (2*((sc[ib/2] >> (6*(ib%2)+0)) & 0x7) + 1);
|
|
const float dl2 = d * (2*((sc[ib/2] >> (6*(ib%2)+3)) & 0x7) + 1);
|
|
#endif
|
|
idx[0] = qs[0] | ((qh[0] << 8) & 0x700);
|
|
idx[1] = qs[1] | ((qh[0] << 4) & 0x700);
|
|
idx[2] = qs[2] | ((qh[1] << 8) & 0x700);
|
|
idx[3] = qs[3] | ((qh[1] << 4) & 0x700);
|
|
delta[0] = qh[0] & 0x08 ? -IQ1S_DELTA : IQ1S_DELTA;
|
|
delta[1] = qh[0] & 0x80 ? -IQ1S_DELTA : IQ1S_DELTA;
|
|
delta[2] = qh[1] & 0x08 ? -IQ1S_DELTA : IQ1S_DELTA;
|
|
delta[3] = qh[1] & 0x80 ? -IQ1S_DELTA : IQ1S_DELTA;
|
|
for (int l = 0; l < 2; ++l) {
|
|
const int8_t * grid = (const int8_t *)(iq1s_grid + idx[l]);
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = dl1 * (grid[j] + delta[l]);
|
|
}
|
|
y += 8;
|
|
}
|
|
for (int l = 2; l < 4; ++l) {
|
|
const int8_t * grid = (const int8_t *)(iq1s_grid + idx[l]);
|
|
for (int j = 0; j < 8; ++j) {
|
|
y[j] = dl2 * (grid[j] + delta[l]);
|
|
}
|
|
y += 8;
|
|
}
|
|
qs += 4;
|
|
qh += 2;
|
|
}
|
|
}
|
|
}
|
|
|
|
static const int8_t kvalues_iq4nl[16] = {-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
|
|
|
|
void dequantize_row_iq4_nl(const block_iq4_nl * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK4_NL == 0);
|
|
const int64_t nb = k / QK4_NL;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const uint8_t * qs = x[i].qs;
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
for (int j = 0; j < QK4_NL/2; ++j) {
|
|
y[j+ 0] = d * kvalues_iq4nl[qs[j] & 0xf];
|
|
y[j+QK4_NL/2] = d * kvalues_iq4nl[qs[j] >> 4];
|
|
}
|
|
y += QK4_NL;
|
|
qs += QK4_NL/2;
|
|
}
|
|
}
|
|
|
|
void dequantize_row_iq4_xs(const block_iq4_xs * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
#if QK_K == 64
|
|
dequantize_row_iq4_nl((const block_iq4_nl *)x, y, k);
|
|
#else
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const uint8_t * qs = x[i].qs;
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
const int ls = ((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4);
|
|
const float dl = d * (ls - 32);
|
|
for (int j = 0; j < 16; ++j) {
|
|
y[j+ 0] = dl * kvalues_iq4nl[qs[j] & 0xf];
|
|
y[j+16] = dl * kvalues_iq4nl[qs[j] >> 4];
|
|
}
|
|
y += 32;
|
|
qs += 16;
|
|
}
|
|
}
|
|
#endif
|
|
}
|
|
|
|
//===================================== Q8_K ==============================================
|
|
|
|
void quantize_row_q8_K_reference(const float * restrict x, block_q8_K * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
float max = 0;
|
|
float amax = 0;
|
|
for (int j = 0; j < QK_K; ++j) {
|
|
float ax = fabsf(x[j]);
|
|
if (ax > amax) {
|
|
amax = ax; max = x[j];
|
|
}
|
|
}
|
|
if (!amax) {
|
|
y[i].d = 0;
|
|
memset(y[i].qs, 0, QK_K);
|
|
x += QK_K;
|
|
continue;
|
|
}
|
|
//const float iscale = -128.f/max;
|
|
// We need this change for IQ2_XXS, else the AVX implementation becomes very awkward
|
|
const float iscale = -127.f/max;
|
|
for (int j = 0; j < QK_K; ++j) {
|
|
int v = nearest_int(iscale*x[j]);
|
|
y[i].qs[j] = MIN(127, v);
|
|
}
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int sum = 0;
|
|
for (int ii = 0; ii < 16; ++ii) {
|
|
sum += y[i].qs[j*16 + ii];
|
|
}
|
|
y[i].bsums[j] = sum;
|
|
}
|
|
y[i].d = 1/iscale;
|
|
x += QK_K;
|
|
}
|
|
}
|
|
|
|
void dequantize_row_q8_K(const block_q8_K * restrict x, float * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
const int64_t nb = k / QK_K;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
for (int j = 0; j < QK_K; ++j) {
|
|
*y++ = x[i].d * x[i].qs[j];
|
|
}
|
|
}
|
|
}
|
|
|
|
void quantize_row_q8_K(const float * restrict x, void * restrict y, int64_t k) {
|
|
quantize_row_q8_K_reference(x, y, k);
|
|
}
|
|
|
|
//===================================== Dot ptoducts =================================
|
|
|
|
//
|
|
// Helper functions
|
|
//
|
|
#if __AVX__ || __AVX2__ || __AVX512F__
|
|
|
|
// shuffles to pick the required scales in dot products
|
|
static inline __m256i get_scale_shuffle_q3k(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);
|
|
}
|
|
static inline __m256i get_scale_shuffle_k4(int i) {
|
|
static const uint8_t k_shuffle[256] = {
|
|
0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 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, 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, 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, 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, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9, 8, 9,
|
|
10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,10,11,
|
|
12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,12,13,
|
|
14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15,14,15
|
|
};
|
|
return _mm256_loadu_si256((const __m256i*)k_shuffle + i);
|
|
}
|
|
static inline __m128i get_scale_shuffle(int i) {
|
|
static const uint8_t k_shuffle[128] = {
|
|
0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,
|
|
2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,
|
|
4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5,
|
|
6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7,
|
|
8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9,
|
|
10,10,10,10,10,10,10,10, 11,11,11,11,11,11,11,11,
|
|
12,12,12,12,12,12,12,12, 13,13,13,13,13,13,13,13,
|
|
14,14,14,14,14,14,14,14, 15,15,15,15,15,15,15,15
|
|
};
|
|
return _mm_loadu_si128((const __m128i*)k_shuffle + i);
|
|
}
|
|
#endif
|
|
|
|
void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
const int qk = QK8_0;
|
|
const int nb = n / qk;
|
|
|
|
assert(n % qk == 0);
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
assert((nrc == 2) || (nrc == 1));
|
|
#else
|
|
assert(nrc == 1);
|
|
#endif
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q4_0 * restrict x = vx;
|
|
const block_q8_0 * restrict y = vy;
|
|
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
if (nrc == 2) {
|
|
const block_q4_0 * restrict vx0 = vx;
|
|
const block_q4_0 * restrict vx1 = vx + bx;
|
|
|
|
const block_q8_0 * restrict vy0 = vy;
|
|
const block_q8_0 * restrict vy1 = vy + by;
|
|
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const block_q4_0 * restrict b_x0 = &vx0[i];
|
|
const block_q4_0 * restrict b_x1 = &vx1[i];
|
|
const block_q8_0 * restrict b_y0 = &vy0[i];
|
|
const block_q8_0 * restrict b_y1 = &vy1[i];
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
const int8x16_t s8b = vdupq_n_s8(0x8);
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(b_x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(b_x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// sub 8
|
|
const int8x16_t x0_l = vsubq_s8(v0_0l, s8b);
|
|
const int8x16_t x0_h = vsubq_s8(v0_0h, s8b);
|
|
const int8x16_t x1_l = vsubq_s8(v0_1l, s8b);
|
|
const int8x16_t x1_h = vsubq_s8(v0_1h, s8b);
|
|
|
|
// load y
|
|
const int8x16_t y0_l = vld1q_s8(b_y0->qs);
|
|
const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
|
|
const int8x16_t y1_l = vld1q_s8(b_y1->qs);
|
|
const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
|
|
|
|
float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
|
|
GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
|
|
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
|
|
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
|
|
|
|
int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
|
|
int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
|
|
int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
|
|
int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
|
|
sumv0 = vmlaq_f32(sumv0,(vcvtq_f32_s32(vmmlaq_s32((vmmlaq_s32((vmmlaq_s32((vmmlaq_s32(vdupq_n_s32(0), l0, r0)),
|
|
l1, r1)), l2, r2)), l3, r3))), scale);
|
|
}
|
|
float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
|
|
float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
|
|
|
|
vst1_f32(s, vget_low_f32(sumv2));
|
|
vst1_f32(s + bs, vget_high_f32(sumv2));
|
|
return;
|
|
}
|
|
#endif
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
for (int i = 0; i < nb; i += 2) {
|
|
const block_q4_0 * restrict x0 = &x[i + 0];
|
|
const block_q4_0 * restrict x1 = &x[i + 1];
|
|
const block_q8_0 * restrict y0 = &y[i + 0];
|
|
const block_q8_0 * restrict y1 = &y[i + 1];
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
const int8x16_t s8b = vdupq_n_s8(0x8);
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// sub 8
|
|
const int8x16_t v0_0ls = vsubq_s8(v0_0l, s8b);
|
|
const int8x16_t v0_0hs = vsubq_s8(v0_0h, s8b);
|
|
const int8x16_t v0_1ls = vsubq_s8(v0_1l, s8b);
|
|
const int8x16_t v0_1hs = vsubq_s8(v0_1h, s8b);
|
|
|
|
// load y
|
|
const int8x16_t v1_0l = vld1q_s8(y0->qs);
|
|
const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
|
|
const int8x16_t v1_1l = vld1q_s8(y1->qs);
|
|
const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
|
|
|
|
// dot product into int32x4_t
|
|
const int32x4_t p_0 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), v0_0ls, v1_0l), v0_0hs, v1_0h);
|
|
const int32x4_t p_1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), v0_1ls, v1_1l), v0_1hs, v1_1h);
|
|
|
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(p_0), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
|
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1);
|
|
#elif defined(__AVX2__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; ++i) {
|
|
/* Compute combined scale for the block */
|
|
const __m256 d = _mm256_set1_ps( GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d) );
|
|
|
|
__m256i qx = bytes_from_nibbles_32(x[i].qs);
|
|
|
|
// Now we have a vector with bytes in [ 0 .. 15 ] interval. Offset them into [ -8 .. +7 ] interval.
|
|
const __m256i off = _mm256_set1_epi8( 8 );
|
|
qx = _mm256_sub_epi8( qx, off );
|
|
|
|
__m256i qy = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_i8_pairs_float(qx, qy);
|
|
|
|
/* Multiply q with scale and accumulate */
|
|
acc = _mm256_fmadd_ps( d, q, acc );
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
#elif defined(__AVX__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; ++i) {
|
|
// Compute combined scale for the block
|
|
const __m256 d = _mm256_set1_ps( GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d) );
|
|
|
|
const __m128i lowMask = _mm_set1_epi8(0xF);
|
|
const __m128i off = _mm_set1_epi8(8);
|
|
|
|
const __m128i tmp = _mm_loadu_si128((const __m128i *)x[i].qs);
|
|
|
|
__m128i bx_0 = _mm_and_si128(lowMask, tmp);
|
|
__m128i by_0 = _mm_loadu_si128((const __m128i *)y[i].qs);
|
|
bx_0 = _mm_sub_epi8(bx_0, off);
|
|
const __m128i i32_0 = mul_sum_i8_pairs(bx_0, by_0);
|
|
|
|
bx_0 = _mm_and_si128(lowMask, _mm_srli_epi64(tmp, 4));
|
|
by_0 = _mm_loadu_si128((const __m128i *)(y[i].qs + 16));
|
|
bx_0 = _mm_sub_epi8(bx_0, off);
|
|
const __m128i i32_1 = mul_sum_i8_pairs(bx_0, by_0);
|
|
|
|
// Convert int32_t to float
|
|
__m256 p = _mm256_cvtepi32_ps(MM256_SET_M128I(i32_0, i32_1));
|
|
|
|
// Apply the scale, and accumulate
|
|
acc = _mm256_add_ps(_mm256_mul_ps( d, p ), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
#elif defined(__SSSE3__)
|
|
// set constants
|
|
const __m128i lowMask = _mm_set1_epi8(0xF);
|
|
const __m128i off = _mm_set1_epi8(8);
|
|
|
|
// Initialize accumulator with zeros
|
|
__m128 acc_0 = _mm_setzero_ps();
|
|
__m128 acc_1 = _mm_setzero_ps();
|
|
__m128 acc_2 = _mm_setzero_ps();
|
|
__m128 acc_3 = _mm_setzero_ps();
|
|
|
|
// First round without accumulation
|
|
{
|
|
_mm_prefetch(&x[0] + sizeof(block_q4_0), _MM_HINT_T0);
|
|
_mm_prefetch(&y[0] + sizeof(block_q8_0), _MM_HINT_T0);
|
|
|
|
// Compute combined scale for the block 0 and 1
|
|
const __m128 d_0_1 = _mm_set1_ps( GGML_FP16_TO_FP32(x[0].d) * GGML_FP16_TO_FP32(y[0].d) );
|
|
|
|
const __m128i tmp_0_1 = _mm_loadu_si128((const __m128i *)x[0].qs);
|
|
|
|
__m128i bx_0 = _mm_and_si128(lowMask, tmp_0_1);
|
|
__m128i by_0 = _mm_loadu_si128((const __m128i *)y[0].qs);
|
|
bx_0 = _mm_sub_epi8(bx_0, off);
|
|
const __m128i i32_0 = mul_sum_i8_pairs(bx_0, by_0);
|
|
|
|
__m128i bx_1 = _mm_and_si128(lowMask, _mm_srli_epi64(tmp_0_1, 4));
|
|
__m128i by_1 = _mm_loadu_si128((const __m128i *)(y[0].qs + 16));
|
|
bx_1 = _mm_sub_epi8(bx_1, off);
|
|
const __m128i i32_1 = mul_sum_i8_pairs(bx_1, by_1);
|
|
|
|
_mm_prefetch(&x[1] + sizeof(block_q4_0), _MM_HINT_T0);
|
|
_mm_prefetch(&y[1] + sizeof(block_q8_0), _MM_HINT_T0);
|
|
|
|
// Compute combined scale for the block 2 and 3
|
|
const __m128 d_2_3 = _mm_set1_ps( GGML_FP16_TO_FP32(x[1].d) * GGML_FP16_TO_FP32(y[1].d) );
|
|
|
|
const __m128i tmp_2_3 = _mm_loadu_si128((const __m128i *)x[1].qs);
|
|
|
|
__m128i bx_2 = _mm_and_si128(lowMask, tmp_2_3);
|
|
__m128i by_2 = _mm_loadu_si128((const __m128i *)y[1].qs);
|
|
bx_2 = _mm_sub_epi8(bx_2, off);
|
|
const __m128i i32_2 = mul_sum_i8_pairs(bx_2, by_2);
|
|
|
|
__m128i bx_3 = _mm_and_si128(lowMask, _mm_srli_epi64(tmp_2_3, 4));
|
|
__m128i by_3 = _mm_loadu_si128((const __m128i *)(y[1].qs + 16));
|
|
bx_3 = _mm_sub_epi8(bx_3, off);
|
|
const __m128i i32_3 = mul_sum_i8_pairs(bx_3, by_3);
|
|
|
|
// Convert int32_t to float
|
|
__m128 p0 = _mm_cvtepi32_ps(i32_0);
|
|
__m128 p1 = _mm_cvtepi32_ps(i32_1);
|
|
__m128 p2 = _mm_cvtepi32_ps(i32_2);
|
|
__m128 p3 = _mm_cvtepi32_ps(i32_3);
|
|
|
|
// Apply the scale
|
|
acc_0 = _mm_mul_ps( d_0_1, p0 );
|
|
acc_1 = _mm_mul_ps( d_0_1, p1 );
|
|
acc_2 = _mm_mul_ps( d_2_3, p2 );
|
|
acc_3 = _mm_mul_ps( d_2_3, p3 );
|
|
}
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
// Main loop
|
|
for (int i = 2; i < nb; i+=2) {
|
|
_mm_prefetch(&x[i] + sizeof(block_q4_0), _MM_HINT_T0);
|
|
_mm_prefetch(&y[i] + sizeof(block_q8_0), _MM_HINT_T0);
|
|
|
|
// Compute combined scale for the block 0 and 1
|
|
const __m128 d_0_1 = _mm_set1_ps( GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d) );
|
|
|
|
const __m128i tmp_0_1 = _mm_loadu_si128((const __m128i *)x[i].qs);
|
|
|
|
__m128i bx_0 = _mm_and_si128(lowMask, tmp_0_1);
|
|
__m128i by_0 = _mm_loadu_si128((const __m128i *)y[i].qs);
|
|
bx_0 = _mm_sub_epi8(bx_0, off);
|
|
const __m128i i32_0 = mul_sum_i8_pairs(bx_0, by_0);
|
|
|
|
__m128i bx_1 = _mm_and_si128(lowMask, _mm_srli_epi64(tmp_0_1, 4));
|
|
__m128i by_1 = _mm_loadu_si128((const __m128i *)(y[i].qs + 16));
|
|
bx_1 = _mm_sub_epi8(bx_1, off);
|
|
const __m128i i32_1 = mul_sum_i8_pairs(bx_1, by_1);
|
|
|
|
_mm_prefetch(&x[i] + 2 * sizeof(block_q4_0), _MM_HINT_T0);
|
|
_mm_prefetch(&y[i] + 2 * sizeof(block_q8_0), _MM_HINT_T0);
|
|
|
|
// Compute combined scale for the block 2 and 3
|
|
const __m128 d_2_3 = _mm_set1_ps( GGML_FP16_TO_FP32(x[i + 1].d) * GGML_FP16_TO_FP32(y[i + 1].d) );
|
|
|
|
const __m128i tmp_2_3 = _mm_loadu_si128((const __m128i *)x[i + 1].qs);
|
|
|
|
__m128i bx_2 = _mm_and_si128(lowMask, tmp_2_3);
|
|
__m128i by_2 = _mm_loadu_si128((const __m128i *)y[i + 1].qs);
|
|
bx_2 = _mm_sub_epi8(bx_2, off);
|
|
const __m128i i32_2 = mul_sum_i8_pairs(bx_2, by_2);
|
|
|
|
__m128i bx_3 = _mm_and_si128(lowMask, _mm_srli_epi64(tmp_2_3, 4));
|
|
__m128i by_3 = _mm_loadu_si128((const __m128i *)(y[i + 1].qs + 16));
|
|
bx_3 = _mm_sub_epi8(bx_3, off);
|
|
const __m128i i32_3 = mul_sum_i8_pairs(bx_3, by_3);
|
|
|
|
// Convert int32_t to float
|
|
__m128 p0 = _mm_cvtepi32_ps(i32_0);
|
|
__m128 p1 = _mm_cvtepi32_ps(i32_1);
|
|
__m128 p2 = _mm_cvtepi32_ps(i32_2);
|
|
__m128 p3 = _mm_cvtepi32_ps(i32_3);
|
|
|
|
// Apply the scale
|
|
__m128 p0_d = _mm_mul_ps( d_0_1, p0 );
|
|
__m128 p1_d = _mm_mul_ps( d_0_1, p1 );
|
|
__m128 p2_d = _mm_mul_ps( d_2_3, p2 );
|
|
__m128 p3_d = _mm_mul_ps( d_2_3, p3 );
|
|
|
|
// Acummulate
|
|
acc_0 = _mm_add_ps(p0_d, acc_0);
|
|
acc_1 = _mm_add_ps(p1_d, acc_1);
|
|
acc_2 = _mm_add_ps(p2_d, acc_2);
|
|
acc_3 = _mm_add_ps(p3_d, acc_3);
|
|
}
|
|
|
|
*s = hsum_float_4x4(acc_0, acc_1, acc_2, acc_3);
|
|
#elif defined(__riscv_v_intrinsic)
|
|
float sumf = 0.0;
|
|
|
|
size_t vl = __riscv_vsetvl_e8m1(qk/2);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
// load elements
|
|
vuint8mf2_t tx = __riscv_vle8_v_u8mf2(x[i].qs, vl);
|
|
|
|
vint8mf2_t y0 = __riscv_vle8_v_i8mf2(y[i].qs, vl);
|
|
vint8mf2_t y1 = __riscv_vle8_v_i8mf2(y[i].qs+16, vl);
|
|
|
|
// mask and store lower part of x, and then upper part
|
|
vuint8mf2_t x_a = __riscv_vand_vx_u8mf2(tx, 0x0F, vl);
|
|
vuint8mf2_t x_l = __riscv_vsrl_vx_u8mf2(tx, 0x04, vl);
|
|
|
|
vint8mf2_t x_ai = __riscv_vreinterpret_v_u8mf2_i8mf2(x_a);
|
|
vint8mf2_t x_li = __riscv_vreinterpret_v_u8mf2_i8mf2(x_l);
|
|
|
|
// subtract offset
|
|
vint8mf2_t v0 = __riscv_vsub_vx_i8mf2(x_ai, 8, vl);
|
|
vint8mf2_t v1 = __riscv_vsub_vx_i8mf2(x_li, 8, vl);
|
|
|
|
vint16m1_t vec_mul1 = __riscv_vwmul_vv_i16m1(v0, y0, vl);
|
|
vint16m1_t vec_mul2 = __riscv_vwmul_vv_i16m1(v1, y1, vl);
|
|
|
|
vint32m1_t vec_zero = __riscv_vmv_v_x_i32m1(0, vl);
|
|
|
|
vint32m1_t vs1 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul1, vec_zero, vl);
|
|
vint32m1_t vs2 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul2, vs1, vl);
|
|
|
|
int sumi = __riscv_vmv_x_s_i32m1_i32(vs2);
|
|
|
|
sumf += sumi*GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d);
|
|
}
|
|
|
|
*s = sumf;
|
|
#else
|
|
// scalar
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
int sumi = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const int v0 = (x[i].qs[j] & 0x0F) - 8;
|
|
const int v1 = (x[i].qs[j] >> 4) - 8;
|
|
|
|
sumi += (v0 * y[i].qs[j]) + (v1 * y[i].qs[j + qk/2]);
|
|
}
|
|
|
|
sumf += sumi*GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d);
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
const int qk = QK8_1;
|
|
const int nb = n / qk;
|
|
|
|
assert(n % qk == 0);
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
assert((nrc == 2) || (nrc == 1));
|
|
#else
|
|
assert(nrc == 1);
|
|
#endif
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q4_1 * restrict x = vx;
|
|
const block_q8_1 * restrict y = vy;
|
|
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
if (nrc == 2) {
|
|
const block_q4_1 * restrict vx0 = vx;
|
|
const block_q4_1 * restrict vx1 = vx + bx;
|
|
const block_q8_1 * restrict vy0 = vy;
|
|
const block_q8_1 * restrict vy1 = vy + by;
|
|
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t summs0 = vdupq_n_f32(0.0f);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const block_q4_1 * restrict b_x0 = &vx0[i];
|
|
const block_q4_1 * restrict b_x1 = &vx1[i];
|
|
const block_q8_1 * restrict b_y0 = &vy0[i];
|
|
const block_q8_1 * restrict b_y1 = &vy1[i];
|
|
|
|
float32x4_t summs_t = {GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y0->s),
|
|
GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y0->s),
|
|
GGML_FP16_TO_FP32(b_x0->m) * GGML_FP16_TO_FP32(b_y1->s),
|
|
GGML_FP16_TO_FP32(b_x1->m) * GGML_FP16_TO_FP32(b_y1->s)};
|
|
summs0 += summs_t;
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(b_x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(b_x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t x0_l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
const int8x16_t x0_h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
const int8x16_t x1_l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
const int8x16_t x1_h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// load y
|
|
const int8x16_t y0_l = vld1q_s8(b_y0->qs);
|
|
const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
|
|
const int8x16_t y1_l = vld1q_s8(b_y1->qs);
|
|
const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
|
|
|
|
// mmla into int32x4_t
|
|
float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*b_y0->d,
|
|
GGML_FP16_TO_FP32(b_x0->d)*b_y1->d,
|
|
GGML_FP16_TO_FP32(b_x1->d)*b_y0->d,
|
|
GGML_FP16_TO_FP32(b_x1->d)*b_y1->d};
|
|
|
|
int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
|
|
int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
|
|
int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
|
|
int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
sumv0 = vmlaq_f32(sumv0,(vcvtq_f32_s32(vmmlaq_s32((vmmlaq_s32((vmmlaq_s32((vmmlaq_s32(vdupq_n_s32(0), l0, r0)),
|
|
l1, r1)), l2, r2)), l3, r3))), scale);
|
|
}
|
|
|
|
float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
|
|
float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
|
|
sumv2 = sumv2 + summs0;
|
|
|
|
vst1_f32(s, vget_low_f32(sumv2));
|
|
vst1_f32(s + bs, vget_high_f32(sumv2));
|
|
return;
|
|
}
|
|
#endif
|
|
// TODO: add WASM SIMD
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
|
|
|
float summs = 0;
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
for (int i = 0; i < nb; i += 2) {
|
|
const block_q4_1 * restrict x0 = &x[i + 0];
|
|
const block_q4_1 * restrict x1 = &x[i + 1];
|
|
const block_q8_1 * restrict y0 = &y[i + 0];
|
|
const block_q8_1 * restrict y1 = &y[i + 1];
|
|
|
|
summs += GGML_FP16_TO_FP32(x0->m) * GGML_FP16_TO_FP32(y0->s) + GGML_FP16_TO_FP32(x1->m) * GGML_FP16_TO_FP32(y1->s);
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// load y
|
|
const int8x16_t v1_0l = vld1q_s8(y0->qs);
|
|
const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
|
|
const int8x16_t v1_1l = vld1q_s8(y1->qs);
|
|
const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
|
|
|
|
// dot product into int32x4_t
|
|
const int32x4_t p_0 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), v0_0l, v1_0l), v0_0h, v1_0h);
|
|
const int32x4_t p_1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), v0_1l, v1_1l), v0_1h, v1_1h);
|
|
|
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(p_0), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
|
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1) + summs;
|
|
#elif defined(__AVX2__) || defined(__AVX__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0;
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d0 = GGML_FP16_TO_FP32(x[i].d);
|
|
const float d1 = GGML_FP16_TO_FP32(y[i].d);
|
|
|
|
summs += GGML_FP16_TO_FP32(x[i].m) * GGML_FP16_TO_FP32(y[i].s);
|
|
|
|
const __m256 d0v = _mm256_set1_ps( d0 );
|
|
const __m256 d1v = _mm256_set1_ps( d1 );
|
|
|
|
// Compute combined scales
|
|
const __m256 d0d1 = _mm256_mul_ps( d0v, d1v );
|
|
|
|
// Load 16 bytes, and unpack 4 bit fields into bytes, making 32 bytes
|
|
const __m256i qx = bytes_from_nibbles_32(x[i].qs);
|
|
const __m256i qy = _mm256_loadu_si256( (const __m256i *)y[i].qs );
|
|
|
|
const __m256 xy = mul_sum_us8_pairs_float(qx, qy);
|
|
|
|
// Accumulate d0*d1*x*y
|
|
#if defined(__AVX2__)
|
|
acc = _mm256_fmadd_ps( d0d1, xy, acc );
|
|
#else
|
|
acc = _mm256_add_ps( _mm256_mul_ps( d0d1, xy ), acc );
|
|
#endif
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
#elif defined(__riscv_v_intrinsic)
|
|
float sumf = 0.0;
|
|
|
|
size_t vl = __riscv_vsetvl_e8m1(qk/2);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
// load elements
|
|
vuint8mf2_t tx = __riscv_vle8_v_u8mf2(x[i].qs, vl);
|
|
|
|
vint8mf2_t y0 = __riscv_vle8_v_i8mf2(y[i].qs, vl);
|
|
vint8mf2_t y1 = __riscv_vle8_v_i8mf2(y[i].qs+16, vl);
|
|
|
|
// mask and store lower part of x, and then upper part
|
|
vuint8mf2_t x_a = __riscv_vand_vx_u8mf2(tx, 0x0F, vl);
|
|
vuint8mf2_t x_l = __riscv_vsrl_vx_u8mf2(tx, 0x04, vl);
|
|
|
|
vint8mf2_t v0 = __riscv_vreinterpret_v_u8mf2_i8mf2(x_a);
|
|
vint8mf2_t v1 = __riscv_vreinterpret_v_u8mf2_i8mf2(x_l);
|
|
|
|
vint16m1_t vec_mul1 = __riscv_vwmul_vv_i16m1(v0, y0, vl);
|
|
vint16m1_t vec_mul2 = __riscv_vwmul_vv_i16m1(v1, y1, vl);
|
|
|
|
vint32m1_t vec_zero = __riscv_vmv_v_x_i32m1(0, vl);
|
|
|
|
vint32m1_t vs1 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul1, vec_zero, vl);
|
|
vint32m1_t vs2 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul2, vs1, vl);
|
|
|
|
int sumi = __riscv_vmv_x_s_i32m1_i32(vs2);
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d))*sumi + GGML_FP16_TO_FP32(x[i].m)*GGML_FP16_TO_FP32(y[i].s);
|
|
}
|
|
|
|
*s = sumf;
|
|
#else
|
|
// scalar
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
int sumi = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const int v0 = (x[i].qs[j] & 0x0F);
|
|
const int v1 = (x[i].qs[j] >> 4);
|
|
|
|
sumi += (v0 * y[i].qs[j]) + (v1 * y[i].qs[j + qk/2]);
|
|
}
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d))*sumi + GGML_FP16_TO_FP32(x[i].m)*GGML_FP16_TO_FP32(y[i].s);
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_q5_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
const int qk = QK8_0;
|
|
const int nb = n / qk;
|
|
|
|
assert(n % qk == 0);
|
|
assert(qk == QK5_0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q5_0 * restrict x = vx;
|
|
const block_q8_0 * restrict y = vy;
|
|
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
|
|
|
uint32_t qh0;
|
|
uint32_t qh1;
|
|
|
|
uint64_t tmp0[4];
|
|
uint64_t tmp1[4];
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
for (int i = 0; i < nb; i += 2) {
|
|
const block_q5_0 * restrict x0 = &x[i];
|
|
const block_q5_0 * restrict x1 = &x[i + 1];
|
|
const block_q8_0 * restrict y0 = &y[i];
|
|
const block_q8_0 * restrict y1 = &y[i + 1];
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
|
|
// extract the 5th bit via lookup table ((!b) << 4)
|
|
memcpy(&qh0, x0->qh, sizeof(qh0));
|
|
memcpy(&qh1, x1->qh, sizeof(qh1));
|
|
|
|
tmp0[0] = table_b2b_1[(qh0 >> 0) & 0xFF];
|
|
tmp0[1] = table_b2b_1[(qh0 >> 8) & 0xFF];
|
|
tmp0[2] = table_b2b_1[(qh0 >> 16) & 0xFF];
|
|
tmp0[3] = table_b2b_1[(qh0 >> 24) ];
|
|
|
|
tmp1[0] = table_b2b_1[(qh1 >> 0) & 0xFF];
|
|
tmp1[1] = table_b2b_1[(qh1 >> 8) & 0xFF];
|
|
tmp1[2] = table_b2b_1[(qh1 >> 16) & 0xFF];
|
|
tmp1[3] = table_b2b_1[(qh1 >> 24) ];
|
|
|
|
const int8x16_t qhl0 = vld1q_s8((const int8_t *)(tmp0 + 0));
|
|
const int8x16_t qhh0 = vld1q_s8((const int8_t *)(tmp0 + 2));
|
|
const int8x16_t qhl1 = vld1q_s8((const int8_t *)(tmp1 + 0));
|
|
const int8x16_t qhh1 = vld1q_s8((const int8_t *)(tmp1 + 2));
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// add high bit and sub 16 (equivalent to sub 0x10 when bit is zero)
|
|
const int8x16_t v0_0lf = vsubq_s8(v0_0l, qhl0);
|
|
const int8x16_t v0_0hf = vsubq_s8(v0_0h, qhh0);
|
|
const int8x16_t v0_1lf = vsubq_s8(v0_1l, qhl1);
|
|
const int8x16_t v0_1hf = vsubq_s8(v0_1h, qhh1);
|
|
|
|
// load y
|
|
const int8x16_t v1_0l = vld1q_s8(y0->qs);
|
|
const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
|
|
const int8x16_t v1_1l = vld1q_s8(y1->qs);
|
|
const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
|
|
|
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_0lf, v1_0l),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_0hf, v1_0h))), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
|
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_1lf, v1_1l),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_1hf, v1_1h))), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1);
|
|
#elif defined(__wasm_simd128__)
|
|
v128_t sumv = wasm_f32x4_splat(0.0f);
|
|
|
|
uint32_t qh;
|
|
uint64_t tmp[4];
|
|
|
|
// TODO: check if unrolling this is better
|
|
for (int i = 0; i < nb; ++i) {
|
|
const block_q5_0 * restrict x0 = &x[i];
|
|
const block_q8_0 * restrict y0 = &y[i];
|
|
|
|
const v128_t m4b = wasm_i8x16_splat(0x0F);
|
|
|
|
// extract the 5th bit
|
|
memcpy(&qh, x0->qh, sizeof(qh));
|
|
|
|
tmp[0] = table_b2b_1[(qh >> 0) & 0xFF];
|
|
tmp[1] = table_b2b_1[(qh >> 8) & 0xFF];
|
|
tmp[2] = table_b2b_1[(qh >> 16) & 0xFF];
|
|
tmp[3] = table_b2b_1[(qh >> 24) ];
|
|
|
|
const v128_t qhl = wasm_v128_load(tmp + 0);
|
|
const v128_t qhh = wasm_v128_load(tmp + 2);
|
|
|
|
const v128_t v0 = wasm_v128_load(x0->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const v128_t v0l = wasm_v128_and (v0, m4b);
|
|
const v128_t v0h = wasm_u8x16_shr(v0, 4);
|
|
|
|
// add high bit and sub 16 (equivalent to sub 0x10 when bit is zero)
|
|
const v128_t v0lf = wasm_i8x16_sub(v0l, qhl);
|
|
const v128_t v0hf = wasm_i8x16_sub(v0h, qhh);
|
|
|
|
// load y
|
|
const v128_t v1l = wasm_v128_load(y0->qs);
|
|
const v128_t v1h = wasm_v128_load(y0->qs + 16);
|
|
|
|
// int8x16 -> int16x8
|
|
const v128_t v0lfl = wasm_i16x8_extend_low_i8x16 (v0lf);
|
|
const v128_t v0lfh = wasm_i16x8_extend_high_i8x16(v0lf);
|
|
const v128_t v0hfl = wasm_i16x8_extend_low_i8x16 (v0hf);
|
|
const v128_t v0hfh = wasm_i16x8_extend_high_i8x16(v0hf);
|
|
|
|
const v128_t v1ll = wasm_i16x8_extend_low_i8x16 (v1l);
|
|
const v128_t v1lh = wasm_i16x8_extend_high_i8x16(v1l);
|
|
const v128_t v1hl = wasm_i16x8_extend_low_i8x16 (v1h);
|
|
const v128_t v1hh = wasm_i16x8_extend_high_i8x16(v1h);
|
|
|
|
// dot product
|
|
sumv = wasm_f32x4_add(sumv, wasm_f32x4_mul(wasm_f32x4_convert_i32x4(
|
|
wasm_i32x4_add(
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0lfl, v1ll),
|
|
wasm_i32x4_dot_i16x8(v0lfh, v1lh)),
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0hfl, v1hl),
|
|
wasm_i32x4_dot_i16x8(v0hfh, v1hh)))),
|
|
wasm_f32x4_splat(GGML_FP16_TO_FP32(x0->d) * GGML_FP16_TO_FP32(y0->d))));
|
|
}
|
|
|
|
*s = wasm_f32x4_extract_lane(sumv, 0) + wasm_f32x4_extract_lane(sumv, 1) +
|
|
wasm_f32x4_extract_lane(sumv, 2) + wasm_f32x4_extract_lane(sumv, 3);
|
|
#elif defined(__AVX2__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; i++) {
|
|
/* Compute combined scale for the block */
|
|
const __m256 d = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d));
|
|
|
|
__m256i qx = bytes_from_nibbles_32(x[i].qs);
|
|
__m256i bxhi = bytes_from_bits_32(x[i].qh);
|
|
bxhi = _mm256_andnot_si256(bxhi, _mm256_set1_epi8((char)0xF0));
|
|
qx = _mm256_or_si256(qx, bxhi);
|
|
|
|
__m256i qy = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_i8_pairs_float(qx, qy);
|
|
|
|
/* Multiply q with scale and accumulate */
|
|
acc = _mm256_fmadd_ps(d, q, acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
#elif defined(__AVX__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
__m128i mask = _mm_set1_epi8((char)0xF0);
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; i++) {
|
|
/* Compute combined scale for the block */
|
|
const __m256 d = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d));
|
|
|
|
__m256i bx_0 = bytes_from_nibbles_32(x[i].qs);
|
|
const __m256i bxhi = bytes_from_bits_32(x[i].qh);
|
|
__m128i bxhil = _mm256_castsi256_si128(bxhi);
|
|
__m128i bxhih = _mm256_extractf128_si256(bxhi, 1);
|
|
bxhil = _mm_andnot_si128(bxhil, mask);
|
|
bxhih = _mm_andnot_si128(bxhih, mask);
|
|
__m128i bxl = _mm256_castsi256_si128(bx_0);
|
|
__m128i bxh = _mm256_extractf128_si256(bx_0, 1);
|
|
bxl = _mm_or_si128(bxl, bxhil);
|
|
bxh = _mm_or_si128(bxh, bxhih);
|
|
bx_0 = MM256_SET_M128I(bxh, bxl);
|
|
|
|
const __m256i by_0 = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_i8_pairs_float(bx_0, by_0);
|
|
|
|
/* Multiply q with scale and accumulate */
|
|
acc = _mm256_add_ps(_mm256_mul_ps(d, q), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
#elif defined(__riscv_v_intrinsic)
|
|
float sumf = 0.0;
|
|
|
|
uint32_t qh;
|
|
|
|
size_t vl = __riscv_vsetvl_e8m1(qk/2);
|
|
|
|
// These temporary registers are for masking and shift operations
|
|
vuint32m2_t vt_1 = __riscv_vid_v_u32m2(vl);
|
|
vuint32m2_t vt_2 = __riscv_vsll_vv_u32m2(__riscv_vmv_v_x_u32m2(1, vl), vt_1, vl);
|
|
|
|
vuint32m2_t vt_3 = __riscv_vsll_vx_u32m2(vt_2, 16, vl);
|
|
vuint32m2_t vt_4 = __riscv_vadd_vx_u32m2(vt_1, 12, vl);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
memcpy(&qh, x[i].qh, sizeof(uint32_t));
|
|
|
|
// ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4;
|
|
vuint32m2_t xha_0 = __riscv_vand_vx_u32m2(vt_2, qh, vl);
|
|
vuint32m2_t xhr_0 = __riscv_vsrl_vv_u32m2(xha_0, vt_1, vl);
|
|
vuint32m2_t xhl_0 = __riscv_vsll_vx_u32m2(xhr_0, 4, vl);
|
|
|
|
// ((qh & (1u << (j + 16))) >> (j + 12));
|
|
vuint32m2_t xha_1 = __riscv_vand_vx_u32m2(vt_3, qh, vl);
|
|
vuint32m2_t xhl_1 = __riscv_vsrl_vv_u32m2(xha_1, vt_4, vl);
|
|
|
|
// narrowing
|
|
vuint16m1_t xhc_0 = __riscv_vncvt_x_x_w_u16m1(xhl_0, vl);
|
|
vuint8mf2_t xh_0 = __riscv_vncvt_x_x_w_u8mf2(xhc_0, vl);
|
|
|
|
vuint16m1_t xhc_1 = __riscv_vncvt_x_x_w_u16m1(xhl_1, vl);
|
|
vuint8mf2_t xh_1 = __riscv_vncvt_x_x_w_u8mf2(xhc_1, vl);
|
|
|
|
// load
|
|
vuint8mf2_t tx = __riscv_vle8_v_u8mf2(x[i].qs, vl);
|
|
|
|
vint8mf2_t y0 = __riscv_vle8_v_i8mf2(y[i].qs, vl);
|
|
vint8mf2_t y1 = __riscv_vle8_v_i8mf2(y[i].qs+16, vl);
|
|
|
|
vuint8mf2_t x_at = __riscv_vand_vx_u8mf2(tx, 0x0F, vl);
|
|
vuint8mf2_t x_lt = __riscv_vsrl_vx_u8mf2(tx, 0x04, vl);
|
|
|
|
vuint8mf2_t x_a = __riscv_vor_vv_u8mf2(x_at, xh_0, vl);
|
|
vuint8mf2_t x_l = __riscv_vor_vv_u8mf2(x_lt, xh_1, vl);
|
|
|
|
vint8mf2_t x_ai = __riscv_vreinterpret_v_u8mf2_i8mf2(x_a);
|
|
vint8mf2_t x_li = __riscv_vreinterpret_v_u8mf2_i8mf2(x_l);
|
|
|
|
vint8mf2_t v0 = __riscv_vsub_vx_i8mf2(x_ai, 16, vl);
|
|
vint8mf2_t v1 = __riscv_vsub_vx_i8mf2(x_li, 16, vl);
|
|
|
|
vint16m1_t vec_mul1 = __riscv_vwmul_vv_i16m1(v0, y0, vl);
|
|
vint16m1_t vec_mul2 = __riscv_vwmul_vv_i16m1(v1, y1, vl);
|
|
|
|
vint32m1_t vec_zero = __riscv_vmv_v_x_i32m1(0, vl);
|
|
|
|
vint32m1_t vs1 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul1, vec_zero, vl);
|
|
vint32m1_t vs2 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul2, vs1, vl);
|
|
|
|
int sumi = __riscv_vmv_x_s_i32m1_i32(vs2);
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d)) * sumi;
|
|
}
|
|
|
|
*s = sumf;
|
|
#else
|
|
// scalar
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
int sumi = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const uint8_t xh_0 = ((qh & (1u << (j + 0 ))) >> (j + 0 )) << 4;
|
|
const uint8_t xh_1 = ((qh & (1u << (j + 16))) >> (j + 12));
|
|
|
|
const int32_t x0 = ((x[i].qs[j] & 0x0F) | xh_0) - 16;
|
|
const int32_t x1 = ((x[i].qs[j] >> 4) | xh_1) - 16;
|
|
|
|
sumi += (x0 * y[i].qs[j]) + (x1 * y[i].qs[j + qk/2]);
|
|
}
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d)) * sumi;
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
const int qk = QK8_1;
|
|
const int nb = n / qk;
|
|
|
|
assert(n % qk == 0);
|
|
assert(qk == QK5_1);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q5_1 * restrict x = vx;
|
|
const block_q8_1 * restrict y = vy;
|
|
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
|
|
|
float summs0 = 0.0f;
|
|
float summs1 = 0.0f;
|
|
|
|
uint32_t qh0;
|
|
uint32_t qh1;
|
|
|
|
uint64_t tmp0[4];
|
|
uint64_t tmp1[4];
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
for (int i = 0; i < nb; i += 2) {
|
|
const block_q5_1 * restrict x0 = &x[i];
|
|
const block_q5_1 * restrict x1 = &x[i + 1];
|
|
const block_q8_1 * restrict y0 = &y[i];
|
|
const block_q8_1 * restrict y1 = &y[i + 1];
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0F);
|
|
|
|
summs0 += GGML_FP16_TO_FP32(x0->m) * GGML_FP16_TO_FP32(y0->s);
|
|
summs1 += GGML_FP16_TO_FP32(x1->m) * GGML_FP16_TO_FP32(y1->s);
|
|
|
|
// extract the 5th bit via lookup table ((b) << 4)
|
|
memcpy(&qh0, x0->qh, sizeof(qh0));
|
|
memcpy(&qh1, x1->qh, sizeof(qh1));
|
|
|
|
tmp0[0] = table_b2b_0[(qh0 >> 0) & 0xFF];
|
|
tmp0[1] = table_b2b_0[(qh0 >> 8) & 0xFF];
|
|
tmp0[2] = table_b2b_0[(qh0 >> 16) & 0xFF];
|
|
tmp0[3] = table_b2b_0[(qh0 >> 24) ];
|
|
|
|
tmp1[0] = table_b2b_0[(qh1 >> 0) & 0xFF];
|
|
tmp1[1] = table_b2b_0[(qh1 >> 8) & 0xFF];
|
|
tmp1[2] = table_b2b_0[(qh1 >> 16) & 0xFF];
|
|
tmp1[3] = table_b2b_0[(qh1 >> 24) ];
|
|
|
|
const int8x16_t qhl0 = vld1q_s8((const int8_t *)(tmp0 + 0));
|
|
const int8x16_t qhh0 = vld1q_s8((const int8_t *)(tmp0 + 2));
|
|
const int8x16_t qhl1 = vld1q_s8((const int8_t *)(tmp1 + 0));
|
|
const int8x16_t qhh1 = vld1q_s8((const int8_t *)(tmp1 + 2));
|
|
|
|
const uint8x16_t v0_0 = vld1q_u8(x0->qs);
|
|
const uint8x16_t v0_1 = vld1q_u8(x1->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const int8x16_t v0_0l = vreinterpretq_s8_u8(vandq_u8 (v0_0, m4b));
|
|
const int8x16_t v0_0h = vreinterpretq_s8_u8(vshrq_n_u8(v0_0, 4));
|
|
const int8x16_t v0_1l = vreinterpretq_s8_u8(vandq_u8 (v0_1, m4b));
|
|
const int8x16_t v0_1h = vreinterpretq_s8_u8(vshrq_n_u8(v0_1, 4));
|
|
|
|
// add high bit
|
|
const int8x16_t v0_0lf = vorrq_s8(v0_0l, qhl0);
|
|
const int8x16_t v0_0hf = vorrq_s8(v0_0h, qhh0);
|
|
const int8x16_t v0_1lf = vorrq_s8(v0_1l, qhl1);
|
|
const int8x16_t v0_1hf = vorrq_s8(v0_1h, qhh1);
|
|
|
|
// load y
|
|
const int8x16_t v1_0l = vld1q_s8(y0->qs);
|
|
const int8x16_t v1_0h = vld1q_s8(y0->qs + 16);
|
|
const int8x16_t v1_1l = vld1q_s8(y1->qs);
|
|
const int8x16_t v1_1h = vld1q_s8(y1->qs + 16);
|
|
|
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_0lf, v1_0l),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_0hf, v1_0h))), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
|
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_1lf, v1_1l),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), v0_1hf, v1_1h))), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1) + summs0 + summs1;
|
|
#elif defined(__wasm_simd128__)
|
|
v128_t sumv = wasm_f32x4_splat(0.0f);
|
|
|
|
float summs = 0.0f;
|
|
|
|
uint32_t qh;
|
|
uint64_t tmp[4];
|
|
|
|
// TODO: check if unrolling this is better
|
|
for (int i = 0; i < nb; ++i) {
|
|
const block_q5_1 * restrict x0 = &x[i];
|
|
const block_q8_1 * restrict y0 = &y[i];
|
|
|
|
summs += GGML_FP16_TO_FP32(x0->m) * GGML_FP16_TO_FP32(y0->s);
|
|
|
|
const v128_t m4b = wasm_i8x16_splat(0x0F);
|
|
|
|
// extract the 5th bit
|
|
memcpy(&qh, x0->qh, sizeof(qh));
|
|
|
|
tmp[0] = table_b2b_0[(qh >> 0) & 0xFF];
|
|
tmp[1] = table_b2b_0[(qh >> 8) & 0xFF];
|
|
tmp[2] = table_b2b_0[(qh >> 16) & 0xFF];
|
|
tmp[3] = table_b2b_0[(qh >> 24) ];
|
|
|
|
const v128_t qhl = wasm_v128_load(tmp + 0);
|
|
const v128_t qhh = wasm_v128_load(tmp + 2);
|
|
|
|
const v128_t v0 = wasm_v128_load(x0->qs);
|
|
|
|
// 4-bit -> 8-bit
|
|
const v128_t v0l = wasm_v128_and (v0, m4b);
|
|
const v128_t v0h = wasm_u8x16_shr(v0, 4);
|
|
|
|
// add high bit
|
|
const v128_t v0lf = wasm_v128_or(v0l, qhl);
|
|
const v128_t v0hf = wasm_v128_or(v0h, qhh);
|
|
|
|
// load y
|
|
const v128_t v1l = wasm_v128_load(y0->qs);
|
|
const v128_t v1h = wasm_v128_load(y0->qs + 16);
|
|
|
|
// int8x16 -> int16x8
|
|
const v128_t v0lfl = wasm_i16x8_extend_low_i8x16 (v0lf);
|
|
const v128_t v0lfh = wasm_i16x8_extend_high_i8x16(v0lf);
|
|
const v128_t v0hfl = wasm_i16x8_extend_low_i8x16 (v0hf);
|
|
const v128_t v0hfh = wasm_i16x8_extend_high_i8x16(v0hf);
|
|
|
|
const v128_t v1ll = wasm_i16x8_extend_low_i8x16 (v1l);
|
|
const v128_t v1lh = wasm_i16x8_extend_high_i8x16(v1l);
|
|
const v128_t v1hl = wasm_i16x8_extend_low_i8x16 (v1h);
|
|
const v128_t v1hh = wasm_i16x8_extend_high_i8x16(v1h);
|
|
|
|
// dot product
|
|
sumv = wasm_f32x4_add(sumv,
|
|
wasm_f32x4_mul(wasm_f32x4_convert_i32x4(wasm_i32x4_add(
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0lfl, v1ll),
|
|
wasm_i32x4_dot_i16x8(v0lfh, v1lh)),
|
|
wasm_i32x4_add(wasm_i32x4_dot_i16x8(v0hfl, v1hl),
|
|
wasm_i32x4_dot_i16x8(v0hfh, v1hh)))),
|
|
wasm_f32x4_splat(GGML_FP16_TO_FP32(x0->d) * GGML_FP16_TO_FP32(y0->d))));
|
|
}
|
|
|
|
*s = wasm_f32x4_extract_lane(sumv, 0) + wasm_f32x4_extract_lane(sumv, 1) +
|
|
wasm_f32x4_extract_lane(sumv, 2) + wasm_f32x4_extract_lane(sumv, 3) + summs;
|
|
#elif defined(__AVX2__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0.0f;
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; i++) {
|
|
const __m256 dx = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d));
|
|
|
|
summs += GGML_FP16_TO_FP32(x[i].m) * GGML_FP16_TO_FP32(y[i].s);
|
|
|
|
__m256i qx = bytes_from_nibbles_32(x[i].qs);
|
|
__m256i bxhi = bytes_from_bits_32(x[i].qh);
|
|
bxhi = _mm256_and_si256(bxhi, _mm256_set1_epi8(0x10));
|
|
qx = _mm256_or_si256(qx, bxhi);
|
|
|
|
const __m256 dy = _mm256_set1_ps(GGML_FP16_TO_FP32(y[i].d));
|
|
const __m256i qy = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_us8_pairs_float(qx, qy);
|
|
|
|
acc = _mm256_fmadd_ps(q, _mm256_mul_ps(dx, dy), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
#elif defined(__AVX__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
__m128i mask = _mm_set1_epi8(0x10);
|
|
|
|
float summs = 0.0f;
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; i++) {
|
|
const __m256 dx = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d));
|
|
|
|
summs += GGML_FP16_TO_FP32(x[i].m) * GGML_FP16_TO_FP32(y[i].s);
|
|
|
|
__m256i bx_0 = bytes_from_nibbles_32(x[i].qs);
|
|
const __m256i bxhi = bytes_from_bits_32(x[i].qh);
|
|
__m128i bxhil = _mm256_castsi256_si128(bxhi);
|
|
__m128i bxhih = _mm256_extractf128_si256(bxhi, 1);
|
|
bxhil = _mm_and_si128(bxhil, mask);
|
|
bxhih = _mm_and_si128(bxhih, mask);
|
|
__m128i bxl = _mm256_castsi256_si128(bx_0);
|
|
__m128i bxh = _mm256_extractf128_si256(bx_0, 1);
|
|
bxl = _mm_or_si128(bxl, bxhil);
|
|
bxh = _mm_or_si128(bxh, bxhih);
|
|
bx_0 = MM256_SET_M128I(bxh, bxl);
|
|
|
|
const __m256 dy = _mm256_set1_ps(GGML_FP16_TO_FP32(y[i].d));
|
|
const __m256i by_0 = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_us8_pairs_float(bx_0, by_0);
|
|
|
|
acc = _mm256_add_ps(_mm256_mul_ps(q, _mm256_mul_ps(dx, dy)), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
#elif defined(__riscv_v_intrinsic)
|
|
float sumf = 0.0;
|
|
|
|
uint32_t qh;
|
|
|
|
size_t vl = __riscv_vsetvl_e8m1(qk/2);
|
|
|
|
// temporary registers for shift operations
|
|
vuint32m2_t vt_1 = __riscv_vid_v_u32m2(vl);
|
|
vuint32m2_t vt_2 = __riscv_vadd_vx_u32m2(vt_1, 12, vl);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
memcpy(&qh, x[i].qh, sizeof(uint32_t));
|
|
|
|
// load qh
|
|
vuint32m2_t vqh = __riscv_vmv_v_x_u32m2(qh, vl);
|
|
|
|
// ((qh >> (j + 0)) << 4) & 0x10;
|
|
vuint32m2_t xhr_0 = __riscv_vsrl_vv_u32m2(vqh, vt_1, vl);
|
|
vuint32m2_t xhl_0 = __riscv_vsll_vx_u32m2(xhr_0, 4, vl);
|
|
vuint32m2_t xha_0 = __riscv_vand_vx_u32m2(xhl_0, 0x10, vl);
|
|
|
|
// ((qh >> (j + 12)) ) & 0x10;
|
|
vuint32m2_t xhr_1 = __riscv_vsrl_vv_u32m2(vqh, vt_2, vl);
|
|
vuint32m2_t xha_1 = __riscv_vand_vx_u32m2(xhr_1, 0x10, vl);
|
|
|
|
// narrowing
|
|
vuint16m1_t xhc_0 = __riscv_vncvt_x_x_w_u16m1(xha_0, vl);
|
|
vuint8mf2_t xh_0 = __riscv_vncvt_x_x_w_u8mf2(xhc_0, vl);
|
|
|
|
vuint16m1_t xhc_1 = __riscv_vncvt_x_x_w_u16m1(xha_1, vl);
|
|
vuint8mf2_t xh_1 = __riscv_vncvt_x_x_w_u8mf2(xhc_1, vl);
|
|
|
|
// load
|
|
vuint8mf2_t tx = __riscv_vle8_v_u8mf2(x[i].qs, vl);
|
|
|
|
vint8mf2_t y0 = __riscv_vle8_v_i8mf2(y[i].qs, vl);
|
|
vint8mf2_t y1 = __riscv_vle8_v_i8mf2(y[i].qs+16, vl);
|
|
|
|
vuint8mf2_t x_at = __riscv_vand_vx_u8mf2(tx, 0x0F, vl);
|
|
vuint8mf2_t x_lt = __riscv_vsrl_vx_u8mf2(tx, 0x04, vl);
|
|
|
|
vuint8mf2_t x_a = __riscv_vor_vv_u8mf2(x_at, xh_0, vl);
|
|
vuint8mf2_t x_l = __riscv_vor_vv_u8mf2(x_lt, xh_1, vl);
|
|
|
|
vint8mf2_t v0 = __riscv_vreinterpret_v_u8mf2_i8mf2(x_a);
|
|
vint8mf2_t v1 = __riscv_vreinterpret_v_u8mf2_i8mf2(x_l);
|
|
|
|
vint16m1_t vec_mul1 = __riscv_vwmul_vv_i16m1(v0, y0, vl);
|
|
vint16m1_t vec_mul2 = __riscv_vwmul_vv_i16m1(v1, y1, vl);
|
|
|
|
vint32m1_t vec_zero = __riscv_vmv_v_x_i32m1(0, vl);
|
|
|
|
vint32m1_t vs1 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul1, vec_zero, vl);
|
|
vint32m1_t vs2 = __riscv_vwredsum_vs_i16m1_i32m1(vec_mul2, vs1, vl);
|
|
|
|
int sumi = __riscv_vmv_x_s_i32m1_i32(vs2);
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d))*sumi + GGML_FP16_TO_FP32(x[i].m)*GGML_FP16_TO_FP32(y[i].s);
|
|
}
|
|
|
|
*s = sumf;
|
|
#else
|
|
// scalar
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
uint32_t qh;
|
|
memcpy(&qh, x[i].qh, sizeof(qh));
|
|
|
|
int sumi = 0;
|
|
|
|
for (int j = 0; j < qk/2; ++j) {
|
|
const uint8_t xh_0 = ((qh >> (j + 0)) << 4) & 0x10;
|
|
const uint8_t xh_1 = ((qh >> (j + 12)) ) & 0x10;
|
|
|
|
const int32_t x0 = (x[i].qs[j] & 0xF) | xh_0;
|
|
const int32_t x1 = (x[i].qs[j] >> 4) | xh_1;
|
|
|
|
sumi += (x0 * y[i].qs[j]) + (x1 * y[i].qs[j + qk/2]);
|
|
}
|
|
|
|
sumf += (GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d))*sumi + GGML_FP16_TO_FP32(x[i].m)*GGML_FP16_TO_FP32(y[i].s);
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
const int qk = QK8_0;
|
|
const int nb = n / qk;
|
|
|
|
assert(n % qk == 0);
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
assert((nrc == 2) || (nrc == 1));
|
|
#else
|
|
assert(nrc == 1);
|
|
#endif
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q8_0 * restrict x = vx;
|
|
const block_q8_0 * restrict y = vy;
|
|
|
|
#if defined(__ARM_FEATURE_MATMUL_INT8)
|
|
if (nrc == 2) {
|
|
const block_q8_0 * restrict vx0 = vx;
|
|
const block_q8_0 * restrict vx1 = vx + bx;
|
|
const block_q8_0 * restrict vy0 = vy;
|
|
const block_q8_0 * restrict vy1 = vy + by;
|
|
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
const block_q8_0 * restrict b_x0 = &vx0[i];
|
|
const block_q8_0 * restrict b_y0 = &vy0[i];
|
|
|
|
const block_q8_0 * restrict b_x1 = &vx1[i];
|
|
const block_q8_0 * restrict b_y1 = &vy1[i];
|
|
|
|
const int8x16_t x0_l = vld1q_s8(b_x0->qs);
|
|
const int8x16_t x0_h = vld1q_s8(b_x0->qs + 16);
|
|
const int8x16_t x1_l = vld1q_s8(b_x1->qs);
|
|
const int8x16_t x1_h = vld1q_s8(b_x1->qs + 16);
|
|
|
|
// load y
|
|
const int8x16_t y0_l = vld1q_s8(b_y0->qs);
|
|
const int8x16_t y0_h = vld1q_s8(b_y0->qs + 16);
|
|
const int8x16_t y1_l = vld1q_s8(b_y1->qs);
|
|
const int8x16_t y1_h = vld1q_s8(b_y1->qs + 16);
|
|
|
|
float32x4_t scale = {GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y0->d),
|
|
GGML_FP16_TO_FP32(b_x0->d)*GGML_FP16_TO_FP32(b_y1->d),
|
|
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y0->d),
|
|
GGML_FP16_TO_FP32(b_x1->d)*GGML_FP16_TO_FP32(b_y1->d)};
|
|
|
|
int8x16_t l0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
int8x16_t l1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_l), vreinterpretq_s64_s8(x1_l)));
|
|
|
|
int8x16_t l2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
int8x16_t l3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(x0_h), vreinterpretq_s64_s8(x1_h)));
|
|
|
|
int8x16_t r0 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
int8x16_t r1 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_l), vreinterpretq_s64_s8(y1_l)));
|
|
|
|
int8x16_t r2 = vreinterpretq_s8_s64(vzip1q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
int8x16_t r3 = vreinterpretq_s8_s64(vzip2q_s64(vreinterpretq_s64_s8(y0_h), vreinterpretq_s64_s8(y1_h)));
|
|
|
|
sumv0 = vmlaq_f32(sumv0,(vcvtq_f32_s32(vmmlaq_s32((vmmlaq_s32((vmmlaq_s32((vmmlaq_s32(vdupq_n_s32(0), l0, r0)),
|
|
l1, r1)), l2, r2)), l3, r3))), scale);
|
|
}
|
|
float32x4_t sumv1 = vextq_f32(sumv0, sumv0, 2);
|
|
float32x4_t sumv2 = vzip1q_f32(sumv0, sumv1);
|
|
|
|
vst1_f32(s, vget_low_f32(sumv2));
|
|
vst1_f32(s + bs, vget_high_f32(sumv2));
|
|
return;
|
|
}
|
|
#endif
|
|
#if defined(__ARM_NEON)
|
|
float32x4_t sumv0 = vdupq_n_f32(0.0f);
|
|
float32x4_t sumv1 = vdupq_n_f32(0.0f);
|
|
|
|
assert(nb % 2 == 0); // TODO: handle odd nb
|
|
|
|
for (int i = 0; i < nb; i += 2) {
|
|
const block_q8_0 * restrict x0 = &x[i + 0];
|
|
const block_q8_0 * restrict x1 = &x[i + 1];
|
|
const block_q8_0 * restrict y0 = &y[i + 0];
|
|
const block_q8_0 * restrict y1 = &y[i + 1];
|
|
|
|
const int8x16_t x0_0 = vld1q_s8(x0->qs);
|
|
const int8x16_t x0_1 = vld1q_s8(x0->qs + 16);
|
|
const int8x16_t x1_0 = vld1q_s8(x1->qs);
|
|
const int8x16_t x1_1 = vld1q_s8(x1->qs + 16);
|
|
|
|
// load y
|
|
const int8x16_t y0_0 = vld1q_s8(y0->qs);
|
|
const int8x16_t y0_1 = vld1q_s8(y0->qs + 16);
|
|
const int8x16_t y1_0 = vld1q_s8(y1->qs);
|
|
const int8x16_t y1_1 = vld1q_s8(y1->qs + 16);
|
|
|
|
sumv0 = vmlaq_n_f32(sumv0, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), x0_0, y0_0),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), x0_1, y0_1))), GGML_FP16_TO_FP32(x0->d)*GGML_FP16_TO_FP32(y0->d));
|
|
|
|
sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(vaddq_s32(
|
|
ggml_vdotq_s32(vdupq_n_s32(0), x1_0, y1_0),
|
|
ggml_vdotq_s32(vdupq_n_s32(0), x1_1, y1_1))), GGML_FP16_TO_FP32(x1->d)*GGML_FP16_TO_FP32(y1->d));
|
|
}
|
|
|
|
*s = vaddvq_f32(sumv0) + vaddvq_f32(sumv1);
|
|
#elif defined(__AVX2__) || defined(__AVX__)
|
|
// Initialize accumulator with zeros
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
// Main loop
|
|
for (int i = 0; i < nb; ++i) {
|
|
// Compute combined scale for the block
|
|
const __m256 d = _mm256_set1_ps(GGML_FP16_TO_FP32(x[i].d) * GGML_FP16_TO_FP32(y[i].d));
|
|
__m256i qx = _mm256_loadu_si256((const __m256i *)x[i].qs);
|
|
__m256i qy = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
|
|
const __m256 q = mul_sum_i8_pairs_float(qx, qy);
|
|
|
|
// Multiply q with scale and accumulate
|
|
#if defined(__AVX2__)
|
|
acc = _mm256_fmadd_ps( d, q, acc );
|
|
#else
|
|
acc = _mm256_add_ps( _mm256_mul_ps( d, q ), acc );
|
|
#endif
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
#elif defined(__riscv_v_intrinsic)
|
|
float sumf = 0.0;
|
|
size_t vl = __riscv_vsetvl_e8m1(qk);
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
// load elements
|
|
vint8m1_t bx_0 = __riscv_vle8_v_i8m1(x[i].qs, vl);
|
|
vint8m1_t by_0 = __riscv_vle8_v_i8m1(y[i].qs, vl);
|
|
|
|
vint16m2_t vw_mul = __riscv_vwmul_vv_i16m2(bx_0, by_0, vl);
|
|
|
|
vint32m1_t v_zero = __riscv_vmv_v_x_i32m1(0, vl);
|
|
vint32m1_t v_sum = __riscv_vwredsum_vs_i16m2_i32m1(vw_mul, v_zero, vl);
|
|
|
|
int sumi = __riscv_vmv_x_s_i32m1_i32(v_sum);
|
|
|
|
sumf += sumi*(GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d));
|
|
}
|
|
|
|
*s = sumf;
|
|
#else
|
|
// scalar
|
|
float sumf = 0.0;
|
|
|
|
for (int i = 0; i < nb; i++) {
|
|
int sumi = 0;
|
|
|
|
for (int j = 0; j < qk; j++) {
|
|
sumi += x[i].qs[j]*y[i].qs[j];
|
|
}
|
|
|
|
sumf += sumi*(GGML_FP16_TO_FP32(x[i].d)*GGML_FP16_TO_FP32(y[i].d));
|
|
}
|
|
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
#if QK_K == 256
|
|
void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q2_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m3 = vdupq_n_u8(0x3);
|
|
const uint8x16_t m4 = vdupq_n_u8(0xF);
|
|
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x2_t q2bytes;
|
|
uint8_t aux[16];
|
|
|
|
float sum = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
const uint8_t * restrict sc = x[i].scales;
|
|
|
|
const uint8x16_t mins_and_scales = vld1q_u8(sc);
|
|
const uint8x16_t scales = vandq_u8(mins_and_scales, m4);
|
|
vst1q_u8(aux, scales);
|
|
|
|
const uint8x16_t mins = vshrq_n_u8(mins_and_scales, 4);
|
|
const ggml_int16x8x2_t q8sums = ggml_vld1q_s16_x2(y[i].bsums);
|
|
const ggml_int16x8x2_t mins16 = {{vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(mins))), vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(mins)))}};
|
|
const int32x4_t s0 = vaddq_s32(vmull_s16(vget_low_s16 (mins16.val[0]), vget_low_s16 (q8sums.val[0])),
|
|
vmull_s16(vget_high_s16(mins16.val[0]), vget_high_s16(q8sums.val[0])));
|
|
const int32x4_t s1 = vaddq_s32(vmull_s16(vget_low_s16 (mins16.val[1]), vget_low_s16 (q8sums.val[1])),
|
|
vmull_s16(vget_high_s16(mins16.val[1]), vget_high_s16(q8sums.val[1])));
|
|
sum += dmin * vaddvq_s32(vaddq_s32(s0, s1));
|
|
|
|
int isum = 0;
|
|
int is = 0;
|
|
|
|
// We use this macro instead of a function call because for some reason
|
|
// the code runs 2-3% slower, even if the function is declared inline
|
|
#define MULTIPLY_ACCUM_WITH_SCALE(index)\
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * aux[is+(index)];\
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * aux[is+1+(index)];
|
|
|
|
#define SHIFT_MULTIPLY_ACCUM_WITH_SCALE(shift, index)\
|
|
q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;\
|
|
q2bytes.val[0] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits.val[0], (shift)), m3));\
|
|
q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits.val[1], (shift)), m3));\
|
|
MULTIPLY_ACCUM_WITH_SCALE((index));
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
const ggml_uint8x16x2_t q2bits = ggml_vld1q_u8_x2(q2); q2 += 32;
|
|
|
|
ggml_int8x16x2_t q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;
|
|
q2bytes.val[0] = vreinterpretq_s8_u8(vandq_u8(q2bits.val[0], m3));
|
|
q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(q2bits.val[1], m3));
|
|
|
|
MULTIPLY_ACCUM_WITH_SCALE(0);
|
|
|
|
SHIFT_MULTIPLY_ACCUM_WITH_SCALE(2, 2);
|
|
SHIFT_MULTIPLY_ACCUM_WITH_SCALE(4, 4);
|
|
SHIFT_MULTIPLY_ACCUM_WITH_SCALE(6, 6);
|
|
|
|
is += 8;
|
|
}
|
|
|
|
sum += d * isum;
|
|
}
|
|
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m3 = _mm256_set1_epi8(3);
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[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);
|
|
const __m256i mins = _mm256_cvtepi8_epi16(mins8);
|
|
const __m256i prod = _mm256_madd_epi16(mins, _mm256_loadu_si256((const __m256i*)y[i].bsums));
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&dmin), _mm256_cvtepi32_ps(prod), acc);
|
|
|
|
const __m256i all_scales = _mm256_cvtepi8_epi16(scales8);
|
|
const __m128i l_scales = _mm256_extracti128_si256(all_scales, 0);
|
|
const __m128i h_scales = _mm256_extracti128_si256(all_scales, 1);
|
|
const __m256i scales[2] = {MM256_SET_M128I(l_scales, l_scales), MM256_SET_M128I(h_scales, h_scales)};
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
const __m256i q2bits = _mm256_loadu_si256((const __m256i*)q2); q2 += 32;
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_3 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
const __m256i q2_0 = _mm256_and_si256(q2bits, m3);
|
|
const __m256i q2_1 = _mm256_and_si256(_mm256_srli_epi16(q2bits, 2), m3);
|
|
const __m256i q2_2 = _mm256_and_si256(_mm256_srli_epi16(q2bits, 4), m3);
|
|
const __m256i q2_3 = _mm256_and_si256(_mm256_srli_epi16(q2bits, 6), m3);
|
|
|
|
__m256i p0 = _mm256_maddubs_epi16(q2_0, q8_0);
|
|
__m256i p1 = _mm256_maddubs_epi16(q2_1, q8_1);
|
|
__m256i p2 = _mm256_maddubs_epi16(q2_2, q8_2);
|
|
__m256i p3 = _mm256_maddubs_epi16(q2_3, q8_3);
|
|
|
|
p0 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(0)), p0);
|
|
p1 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(1)), p1);
|
|
p2 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(2)), p2);
|
|
p3 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(3)), p3);
|
|
|
|
p0 = _mm256_add_epi32(p0, p1);
|
|
p2 = _mm256_add_epi32(p2, p3);
|
|
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p0, p2));
|
|
}
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m3 = _mm_set1_epi8(0x3);
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i m2 = _mm_set1_epi8(0x2);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float dall = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
// load mins and scales from block_q2_K.scales[QK_K/16]
|
|
const __m128i mins_and_scales = _mm_loadu_si128((const __m128i*)x[i].scales);
|
|
const __m128i scales16 = _mm_and_si128(mins_and_scales, m4);
|
|
const __m128i mins16 = _mm_and_si128(_mm_srli_epi16(mins_and_scales, 4), m4);
|
|
const __m128i mins_0 = _mm_cvtepi8_epi16(mins16);
|
|
const __m128i mins_1 = _mm_cvtepi8_epi16(_mm_unpackhi_epi64(mins16, mins16));
|
|
|
|
// summs = y[i].bsums * (x[i].scales >> 4) in 16bits*8*2 to 32bits*4*2
|
|
const __m128i summs_0 = _mm_madd_epi16(mins_0, _mm_loadu_si128((const __m128i*)&y[i].bsums[0]));
|
|
const __m128i summs_1 = _mm_madd_epi16(mins_1, _mm_loadu_si128((const __m128i*)&y[i].bsums[8]));
|
|
|
|
// sumf += -dmin * summs in 32bits*8
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&dmin), _mm256_cvtepi32_ps(MM256_SET_M128I(summs_1, summs_0))), acc);
|
|
|
|
const __m128i scales_0 = _mm_cvtepi8_epi16(scales16);
|
|
const __m128i scales_1 = _mm_cvtepi8_epi16(_mm_unpackhi_epi64(scales16, scales16));
|
|
const __m128i scales[2] = { scales_0, scales_1 };
|
|
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
// load Q8 quants int8*16*8 from block_q8_K.qs[QK_K]
|
|
const __m128i q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_2 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_3 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_4 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_5 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_6 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_7 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
|
|
// load 2bits*16*8 from block_q2_K.qs[QK_K/4]
|
|
__m128i q2bits = _mm_loadu_si128((const __m128i*)q2); q2 += 16;
|
|
const __m128i q2_0 = _mm_and_si128(q2bits, m3);
|
|
const __m128i q2_2 = _mm_and_si128(_mm_srli_epi16(q2bits, 2), m3);
|
|
const __m128i q2_4 = _mm_and_si128(_mm_srli_epi16(q2bits, 4), m3);
|
|
const __m128i q2_6 = _mm_and_si128(_mm_srli_epi16(q2bits, 6), m3);
|
|
q2bits = _mm_loadu_si128((const __m128i*)q2); q2 += 16;
|
|
const __m128i q2_1 = _mm_and_si128(q2bits, m3);
|
|
const __m128i q2_3 = _mm_and_si128(_mm_srli_epi16(q2bits, 2), m3);
|
|
const __m128i q2_5 = _mm_and_si128(_mm_srli_epi16(q2bits, 4), m3);
|
|
const __m128i q2_7 = _mm_and_si128(_mm_srli_epi16(q2bits, 6), m3);
|
|
|
|
// isuml = q8[l] * ((q2[l] >> shift) & 3) in 8bits*16*8 to 16bits*8*8
|
|
__m128i p0 = _mm_maddubs_epi16(q2_0, q8_0);
|
|
__m128i p1 = _mm_maddubs_epi16(q2_1, q8_1);
|
|
__m128i p2 = _mm_maddubs_epi16(q2_2, q8_2);
|
|
__m128i p3 = _mm_maddubs_epi16(q2_3, q8_3);
|
|
__m128i p4 = _mm_maddubs_epi16(q2_4, q8_4);
|
|
__m128i p5 = _mm_maddubs_epi16(q2_5, q8_5);
|
|
__m128i p6 = _mm_maddubs_epi16(q2_6, q8_6);
|
|
__m128i p7 = _mm_maddubs_epi16(q2_7, q8_7);
|
|
|
|
// isum += (x[i].scales[is++] & 0xF) * isuml in 16bits*8*8 to 32bits*4*8
|
|
__m128i shuffle = _mm_set1_epi16(0x0100);
|
|
p0 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p0);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p1 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p1);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p2 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p2);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p3 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p3);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p4 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p4);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p5 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p5);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p6 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p6);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p7 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p7);
|
|
|
|
p0 = _mm_add_epi32(p0, p1);
|
|
p2 = _mm_add_epi32(p2, p3);
|
|
p4 = _mm_add_epi32(p4, p5);
|
|
p6 = _mm_add_epi32(p6, p7);
|
|
|
|
// isum in 32bits*4*2
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p0, p2));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p4, p6));
|
|
}
|
|
|
|
// sumf += dall * isum - dmin * summs in 32bits
|
|
__m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&dall), _mm256_cvtepi32_ps(sumi)), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
float sumf = 0;
|
|
uint8_t temp_01[32] = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
|
|
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * q2 = x[i].qs;
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * sc = x[i].scales;
|
|
|
|
const float dall = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
size_t vl = 16;
|
|
|
|
vuint8m1_t scales = __riscv_vle8_v_u8m1(sc, vl);
|
|
vuint8m1_t aux = __riscv_vand_vx_u8m1(scales, 0x0F, vl);
|
|
|
|
vint16m1_t q8sums = __riscv_vle16_v_i16m1(y[i].bsums, vl);
|
|
|
|
vuint8mf2_t scales_2 = __riscv_vle8_v_u8mf2(sc, vl);
|
|
vuint8mf2_t mins8 = __riscv_vsrl_vx_u8mf2(scales_2, 0x4, vl);
|
|
vint16m1_t mins = __riscv_vreinterpret_v_u16m1_i16m1(__riscv_vzext_vf2_u16m1(mins8, vl));
|
|
vint32m2_t prod = __riscv_vwmul_vv_i32m2(q8sums, mins, vl);
|
|
vint32m1_t vsums = __riscv_vredsum_vs_i32m2_i32m1(prod, __riscv_vmv_v_x_i32m1(0, 1), vl);
|
|
|
|
sumf += dmin * __riscv_vmv_x_s_i32m1_i32(vsums);
|
|
|
|
vl = 32;
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
vuint8m1_t v_b = __riscv_vle8_v_u8m1(temp_01, vl);
|
|
|
|
uint8_t is=0;
|
|
int isum=0;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
// load Q2
|
|
vuint8m1_t q2_x = __riscv_vle8_v_u8m1(q2, vl);
|
|
|
|
vuint8m1_t q2_0 = __riscv_vand_vx_u8m1(q2_x, 0x03, vl);
|
|
vuint8m1_t q2_1 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q2_x, 0x2, vl), 0x03 , vl);
|
|
vuint8m1_t q2_2 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q2_x, 0x4, vl), 0x03 , vl);
|
|
vuint8m1_t q2_3 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q2_x, 0x6, vl), 0x03 , vl);
|
|
|
|
// duplicate scale elements for product
|
|
vuint8m1_t sc0 = __riscv_vrgather_vv_u8m1(aux, __riscv_vadd_vx_u8m1(v_b, 0+is, vl), vl);
|
|
vuint8m1_t sc1 = __riscv_vrgather_vv_u8m1(aux, __riscv_vadd_vx_u8m1(v_b, 2+is, vl), vl);
|
|
vuint8m1_t sc2 = __riscv_vrgather_vv_u8m1(aux, __riscv_vadd_vx_u8m1(v_b, 4+is, vl), vl);
|
|
vuint8m1_t sc3 = __riscv_vrgather_vv_u8m1(aux, __riscv_vadd_vx_u8m1(v_b, 6+is, vl), vl);
|
|
|
|
vint16m2_t p0 = __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vwmulu_vv_u16m2(q2_0, sc0, vl));
|
|
vint16m2_t p1 = __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vwmulu_vv_u16m2(q2_1, sc1, vl));
|
|
vint16m2_t p2 = __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vwmulu_vv_u16m2(q2_2, sc2, vl));
|
|
vint16m2_t p3 = __riscv_vreinterpret_v_u16m2_i16m2(__riscv_vwmulu_vv_u16m2(q2_3, sc3, vl));
|
|
|
|
// load Q8
|
|
vint8m1_t q8_0 = __riscv_vle8_v_i8m1(q8, vl);
|
|
vint8m1_t q8_1 = __riscv_vle8_v_i8m1(q8+32, vl);
|
|
vint8m1_t q8_2 = __riscv_vle8_v_i8m1(q8+64, vl);
|
|
vint8m1_t q8_3 = __riscv_vle8_v_i8m1(q8+96, vl);
|
|
|
|
vint32m4_t s0 = __riscv_vwmul_vv_i32m4(p0, __riscv_vwcvt_x_x_v_i16m2(q8_0, vl), vl);
|
|
vint32m4_t s1 = __riscv_vwmul_vv_i32m4(p1, __riscv_vwcvt_x_x_v_i16m2(q8_1, vl), vl);
|
|
vint32m4_t s2 = __riscv_vwmul_vv_i32m4(p2, __riscv_vwcvt_x_x_v_i16m2(q8_2, vl), vl);
|
|
vint32m4_t s3 = __riscv_vwmul_vv_i32m4(p3, __riscv_vwcvt_x_x_v_i16m2(q8_3, vl), vl);
|
|
|
|
vint32m1_t isum0 = __riscv_vredsum_vs_i32m4_i32m1(__riscv_vadd_vv_i32m4(s0, s1, vl), vzero, vl);
|
|
vint32m1_t isum1 = __riscv_vredsum_vs_i32m4_i32m1(__riscv_vadd_vv_i32m4(s2, s3, vl), isum0, vl);
|
|
|
|
isum += __riscv_vmv_x_s_i32m1_i32(isum1);
|
|
|
|
q2+=32; q8+=128; is=8;
|
|
|
|
}
|
|
|
|
sumf += dall * isum;
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * q2 = x[i].qs;
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * sc = x[i].scales;
|
|
|
|
int summs = 0;
|
|
for (int j = 0; j < 16; ++j) {
|
|
summs += y[i].bsums[j] * (sc[j] >> 4);
|
|
}
|
|
|
|
const float dall = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
int isum = 0;
|
|
int is = 0;
|
|
int d;
|
|
for (int k = 0; k < QK_K/128; ++k) {
|
|
int shift = 0;
|
|
for (int j = 0; j < 4; ++j) {
|
|
d = sc[is++] & 0xF;
|
|
int isuml = 0;
|
|
for (int l = 0; l < 16; ++l) isuml += q8[l] * ((q2[l] >> shift) & 3);
|
|
isum += d * isuml;
|
|
d = sc[is++] & 0xF;
|
|
isuml = 0;
|
|
for (int l = 16; l < 32; ++l) isuml += q8[l] * ((q2[l] >> shift) & 3);
|
|
isum += d * isuml;
|
|
shift += 2;
|
|
q8 += 32;
|
|
}
|
|
q2 += 32;
|
|
}
|
|
sumf += dall * isum - dmin * summs;
|
|
}
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
#else
|
|
|
|
void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q2_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m3 = vdupq_n_u8(0x3);
|
|
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x4_t q2bytes;
|
|
|
|
uint32_t aux32[2];
|
|
const uint8_t * scales = (const uint8_t *)aux32;
|
|
|
|
float sum = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
|
|
|
|
aux32[0] = sc[0] & 0x0f0f0f0f;
|
|
aux32[1] = (sc[0] >> 4) & 0x0f0f0f0f;
|
|
|
|
sum += dmin * (scales[4] * y[i].bsums[0] + scales[5] * y[i].bsums[1] + scales[6] * y[i].bsums[2] + scales[7] * y[i].bsums[3]);
|
|
|
|
int isum1 = 0, isum2 = 0;
|
|
|
|
const uint8x16_t q2bits = vld1q_u8(q2);
|
|
|
|
const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
|
|
|
|
q2bytes.val[0] = vreinterpretq_s8_u8(vandq_u8(q2bits, m3));
|
|
q2bytes.val[1] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 2), m3));
|
|
q2bytes.val[2] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 4), m3));
|
|
q2bytes.val[3] = vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q2bits, 6), m3));
|
|
|
|
isum1 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * scales[0];
|
|
isum2 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * scales[1];
|
|
isum1 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[2], q8bytes.val[2])) * scales[2];
|
|
isum2 += vaddvq_s32(ggml_vdotq_s32(vzero, q2bytes.val[3], q8bytes.val[3])) * scales[3];
|
|
|
|
sum += d * (isum1 + isum2);
|
|
}
|
|
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m3 = _mm256_set1_epi8(3);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
uint32_t ud, um;
|
|
const uint8_t * restrict db = (const uint8_t *)&ud;
|
|
const uint8_t * restrict mb = (const uint8_t *)&um;
|
|
|
|
float summs = 0;
|
|
|
|
// TODO: optimize this
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
|
|
ud = (sc[0] >> 0) & 0x0f0f0f0f;
|
|
um = (sc[0] >> 4) & 0x0f0f0f0f;
|
|
|
|
int32_t smin = mb[0] * y[i].bsums[0] + mb[1] * y[i].bsums[1] + mb[2] * y[i].bsums[2] + mb[3] * y[i].bsums[3];
|
|
summs += dmin * smin;
|
|
|
|
const __m128i q2bits = _mm_loadu_si128((const __m128i*)q2);
|
|
const __m256i q2_0 = _mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q2bits, 2), q2bits), m3);
|
|
const __m256i q2_1 = _mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q2bits, 6), _mm_srli_epi16(q2bits, 4)), m3);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m256i p0 = _mm256_maddubs_epi16(q2_0, q8_0);
|
|
const __m256i p1 = _mm256_maddubs_epi16(q2_1, q8_1);
|
|
|
|
const __m256i p_0 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p0, 0));
|
|
const __m256i p_1 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p0, 1));
|
|
const __m256i p_2 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p1, 0));
|
|
const __m256i p_3 = _mm256_cvtepi16_epi32(_mm256_extracti128_si256(p1, 1));
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[0]), _mm256_cvtepi32_ps(p_0), acc);
|
|
acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[1]), _mm256_cvtepi32_ps(p_1), acc);
|
|
acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[2]), _mm256_cvtepi32_ps(p_2), acc);
|
|
acc = _mm256_fmadd_ps(_mm256_set1_ps(d * db[3]), _mm256_cvtepi32_ps(p_3), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m3 = _mm_set1_epi8(3);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
uint32_t ud, um;
|
|
const uint8_t * restrict db = (const uint8_t *)&ud;
|
|
const uint8_t * restrict mb = (const uint8_t *)&um;
|
|
|
|
float summs = 0;
|
|
|
|
// TODO: optimize this
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
|
|
ud = (sc[0] >> 0) & 0x0f0f0f0f;
|
|
um = (sc[0] >> 4) & 0x0f0f0f0f;
|
|
|
|
int32_t smin = mb[0] * y[i].bsums[0] + mb[1] * y[i].bsums[1] + mb[2] * y[i].bsums[2] + mb[3] * y[i].bsums[3];
|
|
summs += dmin * smin;
|
|
|
|
const __m128i q2bits = _mm_loadu_si128((const __m128i*)q2);
|
|
const __m128i q2_0 = _mm_and_si128(q2bits, m3);
|
|
const __m128i q2_1 = _mm_and_si128(_mm_srli_epi16(q2bits, 2), m3);
|
|
const __m128i q2_2 = _mm_and_si128(_mm_srli_epi16(q2bits, 4), m3);
|
|
const __m128i q2_3 = _mm_and_si128(_mm_srli_epi16(q2bits, 6), m3);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m128i p0 = _mm_maddubs_epi16(q2_0, _mm256_extractf128_si256(q8_0, 0));
|
|
const __m128i p1 = _mm_maddubs_epi16(q2_1, _mm256_extractf128_si256(q8_0, 1));
|
|
const __m128i p2 = _mm_maddubs_epi16(q2_2, _mm256_extractf128_si256(q8_1, 0));
|
|
const __m128i p3 = _mm_maddubs_epi16(q2_3, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
const __m256i p_0 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p0, p0)), _mm_cvtepi16_epi32(p0));
|
|
const __m256i p_1 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p1, p1)), _mm_cvtepi16_epi32(p1));
|
|
const __m256i p_2 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p2, p2)), _mm_cvtepi16_epi32(p2));
|
|
const __m256i p_3 = MM256_SET_M128I(_mm_cvtepi16_epi32(_mm_unpackhi_epi64(p3, p3)), _mm_cvtepi16_epi32(p3));
|
|
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[0]), _mm256_cvtepi32_ps(p_0)), acc);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[1]), _mm256_cvtepi32_ps(p_1)), acc);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[2]), _mm256_cvtepi32_ps(p_2)), acc);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d * db[3]), _mm256_cvtepi32_ps(p_3)), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
uint32_t aux32[2];
|
|
const uint8_t * scales = (const uint8_t *)aux32;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
const uint32_t * restrict sc = (const uint32_t *)x[i].scales;
|
|
|
|
aux32[0] = sc[0] & 0x0f0f0f0f;
|
|
aux32[1] = (sc[0] >> 4) & 0x0f0f0f0f;
|
|
|
|
sumf += dmin * (scales[4] * y[i].bsums[0] + scales[5] * y[i].bsums[1] + scales[6] * y[i].bsums[2] + scales[7] * y[i].bsums[3]);
|
|
|
|
int isum1 = 0;
|
|
int isum2 = 0;
|
|
|
|
size_t vl = 16;
|
|
|
|
vint16m1_t vzero = __riscv_vmv_v_x_i16m1(0, 1);
|
|
|
|
// load Q2
|
|
vuint8mf2_t q2_x = __riscv_vle8_v_u8mf2(q2, vl);
|
|
|
|
vint8mf2_t q2_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q2_x, 0x03, vl));
|
|
vint8mf2_t q2_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x2, vl), 0x03 , vl));
|
|
vint8mf2_t q2_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x4, vl), 0x03 , vl));
|
|
vint8mf2_t q2_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q2_x, 0x6, vl), 0x03 , vl));
|
|
|
|
// load Q8, and take product with Q2
|
|
vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q2_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
|
|
vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q2_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
|
|
vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q2_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
|
|
vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q2_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
|
|
|
|
vint16m1_t vs_0 = __riscv_vredsum_vs_i16m1_i16m1(p0, vzero, vl);
|
|
vint16m1_t vs_1 = __riscv_vredsum_vs_i16m1_i16m1(p1, vzero, vl);
|
|
vint16m1_t vs_2 = __riscv_vredsum_vs_i16m1_i16m1(p2, vzero, vl);
|
|
vint16m1_t vs_3 = __riscv_vredsum_vs_i16m1_i16m1(p3, vzero, vl);
|
|
|
|
isum1 += __riscv_vmv_x_s_i16m1_i16(vs_0) * scales[0];
|
|
isum2 += __riscv_vmv_x_s_i16m1_i16(vs_1) * scales[1];
|
|
isum1 += __riscv_vmv_x_s_i16m1_i16(vs_2) * scales[2];
|
|
isum2 += __riscv_vmv_x_s_i16m1_i16(vs_3) * scales[3];
|
|
|
|
sumf += d * (isum1 + isum2);
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
float sumf = 0;
|
|
|
|
int isum[QK_K/16];
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * q2 = x[i].qs;
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * sc = x[i].scales;
|
|
|
|
int summs = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
summs += y[i].bsums[j] * (sc[j] >> 4);
|
|
}
|
|
|
|
const float dall = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
memset(isum, 0, (QK_K/16)*sizeof(int));
|
|
for (int l = 0; l < 16; ++l) {
|
|
isum[0] += q8[l+ 0] * ((q2[l] >> 0) & 3);
|
|
isum[1] += q8[l+16] * ((q2[l] >> 2) & 3);
|
|
isum[2] += q8[l+32] * ((q2[l] >> 4) & 3);
|
|
isum[3] += q8[l+48] * ((q2[l] >> 6) & 3);
|
|
}
|
|
for (int l = 0; l < QK_K/16; ++l) {
|
|
isum[l] *= (sc[l] & 0xF);
|
|
}
|
|
sumf += dall * (isum[0] + isum[1] + isum[2] + isum[3]) - dmin * summs;
|
|
}
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
#endif
|
|
|
|
#if QK_K == 256
|
|
void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const uint32_t kmask1 = 0x03030303;
|
|
const uint32_t kmask2 = 0x0f0f0f0f;
|
|
|
|
const block_q3_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
|
|
uint32_t aux[3];
|
|
uint32_t utmp[4];
|
|
|
|
const uint8x16_t m3b = vdupq_n_u8(0x3);
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
const uint8x16_t m0 = vdupq_n_u8(1);
|
|
const uint8x16_t m1 = vshlq_n_u8(m0, 1);
|
|
const uint8x16_t m2 = vshlq_n_u8(m0, 2);
|
|
const uint8x16_t m3 = vshlq_n_u8(m0, 3);
|
|
const int8_t m32 = 32;
|
|
|
|
ggml_int8x16x4_t q3bytes;
|
|
|
|
float sum = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].hmask;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
ggml_uint8x16x2_t qhbits = ggml_vld1q_u8_x2(qh);
|
|
|
|
ggml_uint8x16x4_t q3h;
|
|
|
|
int32_t isum = 0;
|
|
|
|
// Set up scales
|
|
memcpy(aux, x[i].scales, 12);
|
|
utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4);
|
|
utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4);
|
|
utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4);
|
|
utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4);
|
|
|
|
int8_t * scale = (int8_t *)utmp;
|
|
for (int j = 0; j < 16; ++j) scale[j] -= m32;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
const ggml_uint8x16x2_t q3bits = ggml_vld1q_u8_x2(q3); q3 += 32;
|
|
const ggml_int8x16x4_t q8bytes_1 = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
const ggml_int8x16x4_t q8bytes_2 = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
q3h.val[0] = vshlq_n_u8(vbicq_u8(m0, qhbits.val[0]), 2);
|
|
q3h.val[1] = vshlq_n_u8(vbicq_u8(m0, qhbits.val[1]), 2);
|
|
q3h.val[2] = vshlq_n_u8(vbicq_u8(m1, qhbits.val[0]), 1);
|
|
q3h.val[3] = vshlq_n_u8(vbicq_u8(m1, qhbits.val[1]), 1);
|
|
|
|
q3bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q3bits.val[0], m3b)), vreinterpretq_s8_u8(q3h.val[0]));
|
|
q3bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q3bits.val[1], m3b)), vreinterpretq_s8_u8(q3h.val[1]));
|
|
q3bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[0], 2), m3b)), vreinterpretq_s8_u8(q3h.val[2]));
|
|
q3bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[1], 2), m3b)), vreinterpretq_s8_u8(q3h.val[3]));
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[0], q8bytes_1.val[0])) * scale[0];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[1], q8bytes_1.val[1])) * scale[1];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[2], q8bytes_1.val[2])) * scale[2];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[3], q8bytes_1.val[3])) * scale[3];
|
|
|
|
scale += 4;
|
|
|
|
q3h.val[0] = vbicq_u8(m2, qhbits.val[0]);
|
|
q3h.val[1] = vbicq_u8(m2, qhbits.val[1]);
|
|
q3h.val[2] = vshrq_n_u8(vbicq_u8(m3, qhbits.val[0]), 1);
|
|
q3h.val[3] = vshrq_n_u8(vbicq_u8(m3, qhbits.val[1]), 1);
|
|
|
|
q3bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[0], 4), m3b)), vreinterpretq_s8_u8(q3h.val[0]));
|
|
q3bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[1], 4), m3b)), vreinterpretq_s8_u8(q3h.val[1]));
|
|
q3bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[0], 6), m3b)), vreinterpretq_s8_u8(q3h.val[2]));
|
|
q3bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(vshrq_n_u8(q3bits.val[1], 6), m3b)), vreinterpretq_s8_u8(q3h.val[3]));
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[0], q8bytes_2.val[0])) * scale[0];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[1], q8bytes_2.val[1])) * scale[1];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[2], q8bytes_2.val[2])) * scale[2];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[3], q8bytes_2.val[3])) * scale[3];
|
|
|
|
scale += 4;
|
|
|
|
if (j == 0) {
|
|
qhbits.val[0] = vshrq_n_u8(qhbits.val[0], 4);
|
|
qhbits.val[1] = vshrq_n_u8(qhbits.val[1], 4);
|
|
}
|
|
|
|
}
|
|
sum += d * isum;
|
|
|
|
}
|
|
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m3 = _mm256_set1_epi8(3);
|
|
const __m256i mone = _mm256_set1_epi8(1);
|
|
const __m128i m32 = _mm_set1_epi8(32);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
uint32_t aux[3];
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
// Set up scales
|
|
memcpy(aux, x[i].scales, 12);
|
|
__m128i scales128 = _mm_set_epi32(
|
|
((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4),
|
|
((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4),
|
|
(aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4),
|
|
(aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4));
|
|
scales128 = _mm_sub_epi8(scales128, m32);
|
|
const __m256i all_scales = _mm256_cvtepi8_epi16(scales128);
|
|
const __m128i l_scales = _mm256_extracti128_si256(all_scales, 0);
|
|
const __m128i h_scales = _mm256_extracti128_si256(all_scales, 1);
|
|
const __m256i scales[2] = {MM256_SET_M128I(l_scales, l_scales), MM256_SET_M128I(h_scales, h_scales)};
|
|
|
|
// high bit
|
|
const __m256i hbits = _mm256_loadu_si256((const __m256i*)x[i].hmask);
|
|
|
|
// integer accumulator
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
int bit = 0;
|
|
int is = 0;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
// load low 2 bits
|
|
const __m256i q3bits = _mm256_loadu_si256((const __m256i*)q3); q3 += 32;
|
|
|
|
// prepare low and high bits
|
|
const __m256i q3l_0 = _mm256_and_si256(q3bits, m3);
|
|
const __m256i q3h_0 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_andnot_si256(hbits, _mm256_slli_epi16(mone, bit)), bit), 2);
|
|
++bit;
|
|
|
|
const __m256i q3l_1 = _mm256_and_si256(_mm256_srli_epi16(q3bits, 2), m3);
|
|
const __m256i q3h_1 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_andnot_si256(hbits, _mm256_slli_epi16(mone, bit)), bit), 2);
|
|
++bit;
|
|
|
|
const __m256i q3l_2 = _mm256_and_si256(_mm256_srli_epi16(q3bits, 4), m3);
|
|
const __m256i q3h_2 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_andnot_si256(hbits, _mm256_slli_epi16(mone, bit)), bit), 2);
|
|
++bit;
|
|
|
|
const __m256i q3l_3 = _mm256_and_si256(_mm256_srli_epi16(q3bits, 6), m3);
|
|
const __m256i q3h_3 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_andnot_si256(hbits, _mm256_slli_epi16(mone, bit)), bit), 2);
|
|
++bit;
|
|
|
|
// load Q8 quants
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_3 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
// Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm256_maddubs_epi16,
|
|
// and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
|
|
// and 2 if the high bit was set)
|
|
__m256i q8s_0 = _mm256_maddubs_epi16(q3h_0, q8_0);
|
|
__m256i q8s_1 = _mm256_maddubs_epi16(q3h_1, q8_1);
|
|
__m256i q8s_2 = _mm256_maddubs_epi16(q3h_2, q8_2);
|
|
__m256i q8s_3 = _mm256_maddubs_epi16(q3h_3, q8_3);
|
|
|
|
__m256i p16_0 = _mm256_maddubs_epi16(q3l_0, q8_0);
|
|
__m256i p16_1 = _mm256_maddubs_epi16(q3l_1, q8_1);
|
|
__m256i p16_2 = _mm256_maddubs_epi16(q3l_2, q8_2);
|
|
__m256i p16_3 = _mm256_maddubs_epi16(q3l_3, q8_3);
|
|
|
|
p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm256_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm256_sub_epi16(p16_3, q8s_3);
|
|
|
|
// multiply with scales
|
|
p16_0 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(is + 0)), p16_0);
|
|
p16_1 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(is + 1)), p16_1);
|
|
p16_2 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(is + 2)), p16_2);
|
|
p16_3 = _mm256_madd_epi16(_mm256_shuffle_epi8(scales[j], get_scale_shuffle_q3k(is + 3)), p16_3);
|
|
|
|
// accumulate
|
|
p16_0 = _mm256_add_epi32(p16_0, p16_1);
|
|
p16_2 = _mm256_add_epi32(p16_2, p16_3);
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_0, p16_2));
|
|
|
|
}
|
|
|
|
// multiply with block scale and accumulate
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m3 = _mm_set1_epi8(3);
|
|
const __m128i mone = _mm_set1_epi8(1);
|
|
const __m128i m32 = _mm_set1_epi8(32);
|
|
const __m128i m2 = _mm_set1_epi8(2);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
const uint32_t *aux;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
// Set up scales
|
|
aux = (const uint32_t *)x[i].scales;
|
|
__m128i scales128 = _mm_set_epi32(
|
|
((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4),
|
|
((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4),
|
|
(aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4),
|
|
(aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4));
|
|
scales128 = _mm_sub_epi8(scales128, m32);
|
|
const __m128i scales_0 = _mm_cvtepi8_epi16(scales128);
|
|
const __m128i scales_1 = _mm_cvtepi8_epi16(_mm_unpackhi_epi64(scales128, scales128));
|
|
const __m128i scales[2] = { scales_0, scales_1 };
|
|
|
|
// high bit *128*2 from block_q3_K.hmask[QK_K/8]
|
|
const __m128i hbits_0 = _mm_loadu_si128((const __m128i*)&x[i].hmask[0]);
|
|
const __m128i hbits_1 = _mm_loadu_si128((const __m128i*)&x[i].hmask[16]);
|
|
|
|
// integer accumulator
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
// load low 2 bits *64*2 from block_q3_K.qs[QK_K/4]
|
|
const __m128i q3bits_0 = _mm_loadu_si128((const __m128i*)q3); q3 += 16;
|
|
const __m128i q3bits_1 = _mm_loadu_si128((const __m128i*)q3); q3 += 16;
|
|
|
|
// prepare low and high bits
|
|
const int bit = j << 2;
|
|
|
|
const __m128i q3l_0 = _mm_and_si128(q3bits_0, m3);
|
|
const __m128i q3l_1 = _mm_and_si128(q3bits_1, m3);
|
|
const __m128i q3h_0 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_0, _mm_slli_epi16(mone, bit)), bit), 2);
|
|
const __m128i q3h_1 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_1, _mm_slli_epi16(mone, bit)), bit), 2);
|
|
|
|
const __m128i q3l_2 = _mm_and_si128(_mm_srli_epi16(q3bits_0, 2), m3);
|
|
const __m128i q3l_3 = _mm_and_si128(_mm_srli_epi16(q3bits_1, 2), m3);
|
|
const __m128i q3h_2 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_0, _mm_slli_epi16(mone, bit+1)), bit+1), 2);
|
|
const __m128i q3h_3 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_1, _mm_slli_epi16(mone, bit+1)), bit+1), 2);
|
|
|
|
const __m128i q3l_4 = _mm_and_si128(_mm_srli_epi16(q3bits_0, 4), m3);
|
|
const __m128i q3l_5 = _mm_and_si128(_mm_srli_epi16(q3bits_1, 4), m3);
|
|
const __m128i q3h_4 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_0, _mm_slli_epi16(mone, bit+2)), bit+2), 2);
|
|
const __m128i q3h_5 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_1, _mm_slli_epi16(mone, bit+2)), bit+2), 2);
|
|
|
|
const __m128i q3l_6 = _mm_and_si128(_mm_srli_epi16(q3bits_0, 6), m3);
|
|
const __m128i q3l_7 = _mm_and_si128(_mm_srli_epi16(q3bits_1, 6), m3);
|
|
const __m128i q3h_6 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_0, _mm_slli_epi16(mone, bit+3)), bit+3), 2);
|
|
const __m128i q3h_7 = _mm_slli_epi16(_mm_srli_epi16(_mm_andnot_si128(hbits_1, _mm_slli_epi16(mone, bit+3)), bit+3), 2);
|
|
|
|
// load Q8 quants from block_q8_K.qs[QK_K]
|
|
const __m128i q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_2 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_3 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_4 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_5 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_6 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_7 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
|
|
// Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm256_maddubs_epi16,
|
|
// and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
|
|
// and 2 if the high bit was set)
|
|
__m128i q8s_0 = _mm_maddubs_epi16(q3h_0, q8_0);
|
|
__m128i q8s_1 = _mm_maddubs_epi16(q3h_1, q8_1);
|
|
__m128i q8s_2 = _mm_maddubs_epi16(q3h_2, q8_2);
|
|
__m128i q8s_3 = _mm_maddubs_epi16(q3h_3, q8_3);
|
|
__m128i q8s_4 = _mm_maddubs_epi16(q3h_4, q8_4);
|
|
__m128i q8s_5 = _mm_maddubs_epi16(q3h_5, q8_5);
|
|
__m128i q8s_6 = _mm_maddubs_epi16(q3h_6, q8_6);
|
|
__m128i q8s_7 = _mm_maddubs_epi16(q3h_7, q8_7);
|
|
|
|
__m128i p16_0 = _mm_maddubs_epi16(q3l_0, q8_0);
|
|
__m128i p16_1 = _mm_maddubs_epi16(q3l_1, q8_1);
|
|
__m128i p16_2 = _mm_maddubs_epi16(q3l_2, q8_2);
|
|
__m128i p16_3 = _mm_maddubs_epi16(q3l_3, q8_3);
|
|
__m128i p16_4 = _mm_maddubs_epi16(q3l_4, q8_4);
|
|
__m128i p16_5 = _mm_maddubs_epi16(q3l_5, q8_5);
|
|
__m128i p16_6 = _mm_maddubs_epi16(q3l_6, q8_6);
|
|
__m128i p16_7 = _mm_maddubs_epi16(q3l_7, q8_7);
|
|
|
|
p16_0 = _mm_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm_sub_epi16(p16_3, q8s_3);
|
|
p16_4 = _mm_sub_epi16(p16_4, q8s_4);
|
|
p16_5 = _mm_sub_epi16(p16_5, q8s_5);
|
|
p16_6 = _mm_sub_epi16(p16_6, q8s_6);
|
|
p16_7 = _mm_sub_epi16(p16_7, q8s_7);
|
|
|
|
// multiply with scales
|
|
__m128i shuffle = _mm_set1_epi16(0x0100);
|
|
p16_0 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_0);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_1 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_1);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_2 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_2);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_3 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_3);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_4 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_4);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_5 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_5);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_6 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_6);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
p16_7 = _mm_madd_epi16(_mm_shuffle_epi8(scales[j], shuffle), p16_7);
|
|
|
|
// accumulate
|
|
p16_0 = _mm_add_epi32(p16_0, p16_1);
|
|
p16_2 = _mm_add_epi32(p16_2, p16_3);
|
|
p16_4 = _mm_add_epi32(p16_4, p16_5);
|
|
p16_6 = _mm_add_epi32(p16_6, p16_7);
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_4, p16_6));
|
|
|
|
}
|
|
|
|
// multiply with block scale and accumulate
|
|
__m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi)), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
uint32_t aux[3];
|
|
uint32_t utmp[4];
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].hmask;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
memcpy(aux, x[i].scales, 12);
|
|
utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4);
|
|
utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4);
|
|
utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4);
|
|
utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4);
|
|
|
|
int8_t * scale = (int8_t *)utmp;
|
|
for (int j = 0; j < 16; ++j) scale[j] -= 32;
|
|
|
|
|
|
size_t vl = 32;
|
|
uint8_t m = 1;
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
vuint8m1_t vqh = __riscv_vle8_v_u8m1(qh, vl);
|
|
|
|
int sum_t = 0;
|
|
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
|
|
vl = 32;
|
|
|
|
// load Q3
|
|
vuint8m1_t q3_x = __riscv_vle8_v_u8m1(q3, vl);
|
|
|
|
vint8m1_t q3_0 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(q3_x, 0x03, vl));
|
|
vint8m1_t q3_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q3_x, 0x2, vl), 0x03 , vl));
|
|
vint8m1_t q3_2 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q3_x, 0x4, vl), 0x03 , vl));
|
|
vint8m1_t q3_3 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(q3_x, 0x6, vl), 0x03 , vl));
|
|
|
|
// compute mask for subtraction
|
|
vuint8m1_t qh_m0 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_0 = __riscv_vmseq_vx_u8m1_b8(qh_m0, 0, vl);
|
|
vint8m1_t q3_m0 = __riscv_vsub_vx_i8m1_m(vmask_0, q3_0, 0x4, vl);
|
|
m <<= 1;
|
|
|
|
vuint8m1_t qh_m1 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_1 = __riscv_vmseq_vx_u8m1_b8(qh_m1, 0, vl);
|
|
vint8m1_t q3_m1 = __riscv_vsub_vx_i8m1_m(vmask_1, q3_1, 0x4, vl);
|
|
m <<= 1;
|
|
|
|
vuint8m1_t qh_m2 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_2 = __riscv_vmseq_vx_u8m1_b8(qh_m2, 0, vl);
|
|
vint8m1_t q3_m2 = __riscv_vsub_vx_i8m1_m(vmask_2, q3_2, 0x4, vl);
|
|
m <<= 1;
|
|
|
|
vuint8m1_t qh_m3 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_3 = __riscv_vmseq_vx_u8m1_b8(qh_m3, 0, vl);
|
|
vint8m1_t q3_m3 = __riscv_vsub_vx_i8m1_m(vmask_3, q3_3, 0x4, vl);
|
|
m <<= 1;
|
|
|
|
// load Q8 and take product with Q3
|
|
vint16m2_t a0 = __riscv_vwmul_vv_i16m2(q3_m0, __riscv_vle8_v_i8m1(q8, vl), vl);
|
|
vint16m2_t a1 = __riscv_vwmul_vv_i16m2(q3_m1, __riscv_vle8_v_i8m1(q8+32, vl), vl);
|
|
vint16m2_t a2 = __riscv_vwmul_vv_i16m2(q3_m2, __riscv_vle8_v_i8m1(q8+64, vl), vl);
|
|
vint16m2_t a3 = __riscv_vwmul_vv_i16m2(q3_m3, __riscv_vle8_v_i8m1(q8+96, vl), vl);
|
|
|
|
vl = 16;
|
|
|
|
// retrieve lane to multiply with scale
|
|
vint32m2_t aux0_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a0, 0), (scale[0]), vl);
|
|
vint32m2_t aux0_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a0, 1), (scale[1]), vl);
|
|
vint32m2_t aux1_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a1, 0), (scale[2]), vl);
|
|
vint32m2_t aux1_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a1, 1), (scale[3]), vl);
|
|
vint32m2_t aux2_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a2, 0), (scale[4]), vl);
|
|
vint32m2_t aux2_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a2, 1), (scale[5]), vl);
|
|
vint32m2_t aux3_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a3, 0), (scale[6]), vl);
|
|
vint32m2_t aux3_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(a3, 1), (scale[7]), vl);
|
|
|
|
vint32m1_t isum0 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(aux0_0, aux0_1, vl), vzero, vl);
|
|
vint32m1_t isum1 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(aux1_0, aux1_1, vl), isum0, vl);
|
|
vint32m1_t isum2 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(aux2_0, aux2_1, vl), isum1, vl);
|
|
vint32m1_t isum3 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(aux3_0, aux3_1, vl), isum2, vl);
|
|
|
|
sum_t += __riscv_vmv_x_s_i32m1_i32(isum3);
|
|
|
|
q3 += 32; q8 += 128; scale += 8;
|
|
|
|
}
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
|
|
sumf += d*sum_t;
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
// scalar version
|
|
// This function is written like this so the compiler can manage to vectorize most of it
|
|
// Using -Ofast, GCC and clang manage to produce code that is within a factor of 2 or so from the
|
|
// manually vectorized version above. Every other version I tried would run at least 4 times slower.
|
|
// The ideal situation would be if we could just write the code once, and the compiler would
|
|
// automatically produce the best possible set of machine instructions, instead of us having to manually
|
|
// write vectorized versions for AVX, ARM_NEON, etc.
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
uint32_t auxs[4];
|
|
const int8_t * scales = (const int8_t*)auxs;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].hmask;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
int8_t * restrict a = aux8;
|
|
uint8_t m = 1;
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) a[l] = q3[l] & 3;
|
|
for (int l = 0; l < 32; ++l) a[l] -= (hm[l] & m ? 0 : 4);
|
|
a += 32; m <<= 1;
|
|
for (int l = 0; l < 32; ++l) a[l] = (q3[l] >> 2) & 3;
|
|
for (int l = 0; l < 32; ++l) a[l] -= (hm[l] & m ? 0 : 4);
|
|
a += 32; m <<= 1;
|
|
for (int l = 0; l < 32; ++l) a[l] = (q3[l] >> 4) & 3;
|
|
for (int l = 0; l < 32; ++l) a[l] -= (hm[l] & m ? 0 : 4);
|
|
a += 32; m <<= 1;
|
|
for (int l = 0; l < 32; ++l) a[l] = (q3[l] >> 6) & 3;
|
|
for (int l = 0; l < 32; ++l) a[l] -= (hm[l] & m ? 0 : 4);
|
|
a += 32; m <<= 1;
|
|
q3 += 32;
|
|
}
|
|
a = aux8;
|
|
|
|
memcpy(auxs, x[i].scales, 12);
|
|
uint32_t tmp = auxs[2];
|
|
auxs[2] = ((auxs[0] >> 4) & kmask2) | (((tmp >> 4) & kmask1) << 4);
|
|
auxs[3] = ((auxs[1] >> 4) & kmask2) | (((tmp >> 6) & kmask1) << 4);
|
|
auxs[0] = (auxs[0] & kmask2) | (((tmp >> 0) & kmask1) << 4);
|
|
auxs[1] = (auxs[1] & kmask2) | (((tmp >> 2) & kmask1) << 4);
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += (scales[j] - 32) * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += (scales[j] - 32) * aux16[l];
|
|
q8 += 8; a += 8;
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
#else
|
|
|
|
void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q3_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
const uint8x16_t m3b = vdupq_n_u8(0x3);
|
|
const uint8x16_t mh = vdupq_n_u8(4);
|
|
|
|
ggml_int8x16x4_t q3bytes;
|
|
|
|
uint16_t aux16[2];
|
|
int8_t * scales = (int8_t *)aux16;
|
|
|
|
float sum = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
ggml_uint8x16x4_t q3h;
|
|
|
|
const uint8x8_t hbits = vld1_u8(x[i].hmask);
|
|
const uint8x16_t q3bits = vld1q_u8(x[i].qs);
|
|
const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(y[i].qs);
|
|
|
|
const uint16_t a = *(const uint16_t *)x[i].scales;
|
|
aux16[0] = a & 0x0f0f;
|
|
aux16[1] = (a >> 4) & 0x0f0f;
|
|
|
|
for (int j = 0; j < 4; ++j) scales[j] -= 8;
|
|
|
|
int32_t isum = -4*(scales[0] * y[i].bsums[0] + scales[2] * y[i].bsums[1] + scales[1] * y[i].bsums[2] + scales[3] * y[i].bsums[3]);
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8x16_t htmp = vcombine_u8(hbits, vshr_n_u8(hbits, 1));
|
|
q3h.val[0] = vandq_u8(mh, vshlq_n_u8(htmp, 2));
|
|
q3h.val[1] = vandq_u8(mh, htmp);
|
|
q3h.val[2] = vandq_u8(mh, vshrq_n_u8(htmp, 2));
|
|
q3h.val[3] = vandq_u8(mh, vshrq_n_u8(htmp, 4));
|
|
|
|
q3bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q3bits, m3b), q3h.val[0]));
|
|
q3bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(vshrq_n_u8(q3bits, 2), m3b), q3h.val[1]));
|
|
q3bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(vshrq_n_u8(q3bits, 4), m3b), q3h.val[2]));
|
|
q3bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q3bits, 6), q3h.val[3]));
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[0], q8bytes.val[0])) * scales[0];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[1], q8bytes.val[1])) * scales[2];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[2], q8bytes.val[2])) * scales[1];
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q3bytes.val[3], q8bytes.val[3])) * scales[3];
|
|
|
|
sum += d * isum;
|
|
|
|
}
|
|
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m3 = _mm256_set1_epi8(3);
|
|
const __m256i m1 = _mm256_set1_epi8(1);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
uint64_t aux64;
|
|
|
|
uint16_t aux16[2];
|
|
const int8_t * aux8 = (const int8_t *)aux16;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint16_t a = *(const uint16_t *)x[i].scales;
|
|
aux16[0] = a & 0x0f0f;
|
|
aux16[1] = (a >> 4) & 0x0f0f;
|
|
|
|
const __m256i scale_0 = MM256_SET_M128I(_mm_set1_epi16(aux8[2] - 8), _mm_set1_epi16(aux8[0] - 8));
|
|
const __m256i scale_1 = MM256_SET_M128I(_mm_set1_epi16(aux8[3] - 8), _mm_set1_epi16(aux8[1] - 8));
|
|
|
|
memcpy(&aux64, x[i].hmask, 8);
|
|
|
|
const __m128i haux = _mm_set_epi64x(aux64 >> 1, aux64 >> 0);
|
|
__m256i q3h_0 = MM256_SET_M128I(_mm_srli_epi16(haux, 2), haux);
|
|
__m256i q3h_1 = _mm256_srli_epi16(q3h_0, 4);
|
|
q3h_0 = _mm256_slli_epi16(_mm256_andnot_si256(q3h_0, m1), 2);
|
|
q3h_1 = _mm256_slli_epi16(_mm256_andnot_si256(q3h_1, m1), 2);
|
|
|
|
// load low 2 bits
|
|
const __m128i q3bits = _mm_loadu_si128((const __m128i*)q3);
|
|
|
|
// prepare low and high bits
|
|
const __m256i q3aux = MM256_SET_M128I(_mm_srli_epi16(q3bits, 2), q3bits);
|
|
const __m256i q3l_0 = _mm256_and_si256(q3aux, m3);
|
|
const __m256i q3l_1 = _mm256_and_si256(_mm256_srli_epi16(q3aux, 4), m3);
|
|
|
|
// load Q8 quants
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
// Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm256_maddubs_epi16,
|
|
// and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
|
|
// and 2 if the high bit was set)
|
|
const __m256i q8s_0 = _mm256_maddubs_epi16(q3h_0, q8_0);
|
|
const __m256i q8s_1 = _mm256_maddubs_epi16(q3h_1, q8_1);
|
|
|
|
__m256i p16_0 = _mm256_maddubs_epi16(q3l_0, q8_0);
|
|
__m256i p16_1 = _mm256_maddubs_epi16(q3l_1, q8_1);
|
|
|
|
p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
|
|
|
|
// multiply with scales
|
|
p16_0 = _mm256_madd_epi16(scale_0, p16_0);
|
|
p16_1 = _mm256_madd_epi16(scale_1, p16_1);
|
|
|
|
p16_0 = _mm256_add_epi32(p16_0, p16_1);
|
|
|
|
// multiply with block scale and accumulate
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(p16_0), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m3 = _mm_set1_epi8(3);
|
|
const __m128i m1 = _mm_set1_epi8(1);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
uint64_t aux64;
|
|
|
|
uint16_t aux16[2];
|
|
const int8_t * aux8 = (const int8_t *)aux16;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint16_t a = *(const uint16_t *)x[i].scales;
|
|
aux16[0] = a & 0x0f0f;
|
|
aux16[1] = (a >> 4) & 0x0f0f;
|
|
|
|
const __m128i scale_0 = _mm_set1_epi16(aux8[0] - 8);
|
|
const __m128i scale_1 = _mm_set1_epi16(aux8[2] - 8);
|
|
const __m128i scale_2 = _mm_set1_epi16(aux8[1] - 8);
|
|
const __m128i scale_3 = _mm_set1_epi16(aux8[3] - 8);
|
|
|
|
memcpy(&aux64, x[i].hmask, 8);
|
|
|
|
__m128i q3h_0 = _mm_set_epi64x(aux64 >> 1, aux64 >> 0);
|
|
__m128i q3h_1 = _mm_srli_epi16(q3h_0, 2);
|
|
__m128i q3h_2 = _mm_srli_epi16(q3h_0, 4);
|
|
__m128i q3h_3 = _mm_srli_epi16(q3h_0, 6);
|
|
q3h_0 = _mm_slli_epi16(_mm_andnot_si128(q3h_0, m1), 2);
|
|
q3h_1 = _mm_slli_epi16(_mm_andnot_si128(q3h_1, m1), 2);
|
|
q3h_2 = _mm_slli_epi16(_mm_andnot_si128(q3h_2, m1), 2);
|
|
q3h_3 = _mm_slli_epi16(_mm_andnot_si128(q3h_3, m1), 2);
|
|
|
|
// load low 2 bits
|
|
const __m128i q3bits = _mm_loadu_si128((const __m128i*)q3);
|
|
|
|
// prepare low and high bits
|
|
const __m128i q3l_0 = _mm_and_si128(q3bits, m3);
|
|
const __m128i q3l_1 = _mm_and_si128(_mm_srli_epi16(q3bits, 2), m3);
|
|
const __m128i q3l_2 = _mm_and_si128(_mm_srli_epi16(q3bits, 4), m3);
|
|
const __m128i q3l_3 = _mm_and_si128(_mm_srli_epi16(q3bits, 6), m3);
|
|
|
|
// load Q8 quants
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
// Dot product: we multiply the 2 low bits and 1 high bit part separately, so we can use _mm_maddubs_epi16,
|
|
// and then subtract. The high bit part has the 2 already subtracted (and so, it is zero if the high bit was not set,
|
|
// and 2 if the high bit was set)
|
|
const __m128i q8s_0 = _mm_maddubs_epi16(q3h_0, _mm256_extractf128_si256(q8_0, 0));
|
|
const __m128i q8s_1 = _mm_maddubs_epi16(q3h_1, _mm256_extractf128_si256(q8_0, 1));
|
|
const __m128i q8s_2 = _mm_maddubs_epi16(q3h_2, _mm256_extractf128_si256(q8_1, 0));
|
|
const __m128i q8s_3 = _mm_maddubs_epi16(q3h_3, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
__m128i p16_0 = _mm_maddubs_epi16(q3l_0, _mm256_extractf128_si256(q8_0, 0));
|
|
__m128i p16_1 = _mm_maddubs_epi16(q3l_1, _mm256_extractf128_si256(q8_0, 1));
|
|
__m128i p16_2 = _mm_maddubs_epi16(q3l_2, _mm256_extractf128_si256(q8_1, 0));
|
|
__m128i p16_3 = _mm_maddubs_epi16(q3l_3, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
p16_0 = _mm_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm_sub_epi16(p16_3, q8s_3);
|
|
|
|
// multiply with scales
|
|
p16_0 = _mm_madd_epi16(scale_0, p16_0);
|
|
p16_1 = _mm_madd_epi16(scale_1, p16_1);
|
|
p16_2 = _mm_madd_epi16(scale_2, p16_2);
|
|
p16_3 = _mm_madd_epi16(scale_3, p16_3);
|
|
|
|
p16_0 = _mm_add_epi32(p16_0, p16_2);
|
|
p16_1 = _mm_add_epi32(p16_1, p16_3);
|
|
__m256i p16 = MM256_SET_M128I(p16_1, p16_0);
|
|
|
|
// multiply with block scale and accumulate
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(p16)), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
uint16_t aux16[2];
|
|
int8_t * scales = (int8_t *)aux16;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint16_t a = *(const uint16_t *)x[i].scales;
|
|
aux16[0] = a & 0x0f0f;
|
|
aux16[1] = (a >> 4) & 0x0f0f;
|
|
|
|
for (int j = 0; j < 4; ++j) scales[j] -= 8;
|
|
|
|
int32_t isum = -4*(scales[0] * y[i].bsums[0] + scales[2] * y[i].bsums[1] + scales[1] * y[i].bsums[2] + scales[3] * y[i].bsums[3]);
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
|
|
// load qh
|
|
vuint8mf4_t qh_x1 = __riscv_vle8_v_u8mf4(x[i].hmask, 8);
|
|
vuint8mf2_t qh_x2 = __riscv_vlmul_ext_v_u8mf4_u8mf2(__riscv_vsrl_vx_u8mf4(qh_x1, 1, 8));
|
|
|
|
size_t vl = 16;
|
|
|
|
// extend and combine both qh_x1 and qh_x2
|
|
vuint8mf2_t qh_x = __riscv_vslideup_vx_u8mf2(__riscv_vlmul_ext_v_u8mf4_u8mf2(qh_x1), qh_x2, vl/2, vl);
|
|
|
|
vuint8mf2_t qh_0 = __riscv_vand_vx_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x2, vl), 0x4, vl);
|
|
vuint8mf2_t qh_1 = __riscv_vand_vx_u8mf2(qh_x, 0x4, vl);
|
|
vuint8mf2_t qh_2 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl), 0x4, vl);
|
|
vuint8mf2_t qh_3 = __riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x4, vl), 0x4, vl);
|
|
|
|
// load Q3
|
|
vuint8mf2_t q3_x = __riscv_vle8_v_u8mf2(q3, vl);
|
|
|
|
vuint8mf2_t q3h_0 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q3_x, 0x3, vl), qh_0, vl);
|
|
vuint8mf2_t q3h_1 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 2, vl), 0x3, vl), qh_1, vl);
|
|
vuint8mf2_t q3h_2 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 4, vl), 0x3, vl), qh_2, vl);
|
|
vuint8mf2_t q3h_3 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q3_x, 0x6, vl), qh_3, vl);
|
|
|
|
vint8mf2_t q3_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_0);
|
|
vint8mf2_t q3_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_1);
|
|
vint8mf2_t q3_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_2);
|
|
vint8mf2_t q3_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(q3h_3);
|
|
|
|
// load Q8 and take product with Q3
|
|
vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q3_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
|
|
vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q3_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
|
|
vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q3_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
|
|
vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q3_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
|
|
|
|
vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
|
|
vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
|
|
vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
|
|
vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
|
|
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_0) * scales[0];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_1) * scales[2];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_2) * scales[1];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_3) * scales[3];
|
|
|
|
sumf += d * isum;
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
int32_t scales[4];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].hmask;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int8_t * restrict a = aux8;
|
|
for (int l = 0; l < 8; ++l) {
|
|
a[l+ 0] = (int8_t)((q3[l+0] >> 0) & 3) - (hm[l] & 0x01 ? 0 : 4);
|
|
a[l+ 8] = (int8_t)((q3[l+8] >> 0) & 3) - (hm[l] & 0x02 ? 0 : 4);
|
|
a[l+16] = (int8_t)((q3[l+0] >> 2) & 3) - (hm[l] & 0x04 ? 0 : 4);
|
|
a[l+24] = (int8_t)((q3[l+8] >> 2) & 3) - (hm[l] & 0x08 ? 0 : 4);
|
|
a[l+32] = (int8_t)((q3[l+0] >> 4) & 3) - (hm[l] & 0x10 ? 0 : 4);
|
|
a[l+40] = (int8_t)((q3[l+8] >> 4) & 3) - (hm[l] & 0x20 ? 0 : 4);
|
|
a[l+48] = (int8_t)((q3[l+0] >> 6) & 3) - (hm[l] & 0x40 ? 0 : 4);
|
|
a[l+56] = (int8_t)((q3[l+8] >> 6) & 3) - (hm[l] & 0x80 ? 0 : 4);
|
|
}
|
|
|
|
scales[0] = (x[i].scales[0] & 0xF) - 8;
|
|
scales[1] = (x[i].scales[0] >> 4) - 8;
|
|
scales[2] = (x[i].scales[1] & 0xF) - 8;
|
|
scales[3] = (x[i].scales[1] >> 4) - 8;
|
|
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] += q8[l] * a[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scales[j] * aux16[l];
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
|
|
#endif
|
|
|
|
}
|
|
#endif
|
|
|
|
#if QK_K == 256
|
|
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q4_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
static const uint32_t kmask1 = 0x3f3f3f3f;
|
|
static const uint32_t kmask2 = 0x0f0f0f0f;
|
|
static const uint32_t kmask3 = 0x03030303;
|
|
|
|
uint32_t utmp[4];
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m4b = vdupq_n_u8(0xf);
|
|
const int32x4_t mzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x2_t q4bytes;
|
|
ggml_int8x16x2_t q8bytes;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const int16x8_t q8sums = vpaddq_s16(vld1q_s16(y[i].bsums), vld1q_s16(y[i].bsums + 8));
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
|
|
uint32x2_t mins8 = { 0 };
|
|
mins8 = vset_lane_u32(utmp[1] & kmask1, mins8, 0);
|
|
mins8 = vset_lane_u32(((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4), mins8, 1);
|
|
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[0] &= kmask1;
|
|
|
|
const int16x8_t mins = vreinterpretq_s16_u16(vmovl_u8(vreinterpret_u8_u32(mins8)));
|
|
const int32x4_t prod = vaddq_s32(vmull_s16(vget_low_s16 (q8sums), vget_low_s16 (mins)),
|
|
vmull_s16(vget_high_s16(q8sums), vget_high_s16(mins)));
|
|
sumf -= dmin * vaddvq_s32(prod);
|
|
|
|
const uint8_t * scales = (const uint8_t *)utmp;
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
int32_t sumi1 = 0;
|
|
int32_t sumi2 = 0;
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4); q4 += 32;
|
|
|
|
q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;
|
|
q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b));
|
|
q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b));
|
|
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);
|
|
sumi1 += vaddvq_s32(p1) * scales[2*j+0];
|
|
|
|
q8bytes = ggml_vld1q_s8_x2(q8); q8 += 32;
|
|
q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4));
|
|
q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4));
|
|
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);
|
|
|
|
sumi2 += vaddvq_s32(p2) * scales[2*j+1];
|
|
}
|
|
|
|
sumf += d * (sumi1 + sumi2);
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
__m128 acc_m = _mm_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m256i mins_and_scales = _mm256_cvtepu8_epi16(_mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]));
|
|
|
|
const __m256i q8sums = _mm256_loadu_si256((const __m256i*)y[i].bsums);
|
|
const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
|
|
const __m128i prod = _mm_madd_epi16(_mm256_extracti128_si256(mins_and_scales, 1), q8s);
|
|
acc_m = _mm_fmadd_ps(_mm_set1_ps(dmin), _mm_cvtepi32_ps(prod), acc_m);
|
|
|
|
const __m128i sc128 = _mm256_extracti128_si256(mins_and_scales, 0);
|
|
const __m256i scales = MM256_SET_M128I(sc128, sc128);
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
|
|
const __m256i scale_l = _mm256_shuffle_epi8(scales, get_scale_shuffle_k4(2*j+0));
|
|
const __m256i scale_h = _mm256_shuffle_epi8(scales, get_scale_shuffle_k4(2*j+1));
|
|
|
|
const __m256i q4bits = _mm256_loadu_si256((const __m256i*)q4); q4 += 32;
|
|
const __m256i q4l = _mm256_and_si256(q4bits, m4);
|
|
const __m256i q4h = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), m4);
|
|
|
|
const __m256i q8l = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
__m256i p16l = _mm256_maddubs_epi16(q4l, q8l);
|
|
p16l = _mm256_madd_epi16(scale_l, p16l);
|
|
|
|
const __m256i q8h = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
__m256i p16h = _mm256_maddubs_epi16(q4h, q8h);
|
|
p16h = _mm256_madd_epi16(scale_h, p16h);
|
|
const __m256i sumj = _mm256_add_epi32(p16l, p16h);
|
|
|
|
sumi = _mm256_add_epi32(sumi, sumj);
|
|
}
|
|
|
|
__m256 vd = _mm256_set1_ps(d);
|
|
acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(sumi), acc);
|
|
|
|
}
|
|
|
|
acc_m = _mm_add_ps(acc_m, _mm_movehl_ps(acc_m, acc_m));
|
|
acc_m = _mm_add_ss(acc_m, _mm_movehdup_ps(acc_m));
|
|
|
|
*s = hsum_float_8(acc) + _mm_cvtss_f32(acc_m);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i m2 = _mm_set1_epi8(0x2);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
__m128 acc_m = _mm_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
const __m128i utmps = _mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]);
|
|
const __m128i scales = _mm_cvtepu8_epi16(utmps);
|
|
const __m128i mins = _mm_cvtepu8_epi16(_mm_unpackhi_epi64(utmps, utmps));
|
|
|
|
const __m128i q8sums_0 = _mm_loadu_si128((const __m128i*)&y[i].bsums[0]);
|
|
const __m128i q8sums_1 = _mm_loadu_si128((const __m128i*)&y[i].bsums[8]);
|
|
const __m128i q8s = _mm_hadd_epi16(q8sums_0, q8sums_1);
|
|
const __m128i prod = _mm_madd_epi16(mins, q8s);
|
|
acc_m = _mm_add_ps(_mm_mul_ps(_mm_set1_ps(dmin), _mm_cvtepi32_ps(prod)), acc_m);
|
|
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
__m128i shuffle = _mm_set1_epi16(0x0100);
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
|
|
const __m128i scale_l = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
const __m128i scale_h = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
|
|
__m128i q4bits = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
const __m128i q4l_0 = _mm_and_si128(q4bits, m4);
|
|
const __m128i q4h_0 = _mm_and_si128(_mm_srli_epi16(q4bits, 4), m4);
|
|
q4bits = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
const __m128i q4l_1 = _mm_and_si128(q4bits, m4);
|
|
const __m128i q4h_1 = _mm_and_si128(_mm_srli_epi16(q4bits, 4), m4);
|
|
|
|
const __m128i q8l_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
__m128i p16l = _mm_maddubs_epi16(q4l_0, q8l_0);
|
|
p16l = _mm_madd_epi16(scale_l, p16l);
|
|
sumi_0 = _mm_add_epi32(sumi_0, p16l);
|
|
const __m128i q8l_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
p16l = _mm_maddubs_epi16(q4l_1, q8l_1);
|
|
p16l = _mm_madd_epi16(scale_l, p16l);
|
|
sumi_1 = _mm_add_epi32(sumi_1, p16l);
|
|
|
|
const __m128i q8h_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
__m128i p16h = _mm_maddubs_epi16(q4h_0, q8h_0);
|
|
p16h = _mm_madd_epi16(scale_h, p16h);
|
|
sumi_0 = _mm_add_epi32(sumi_0, p16h);
|
|
const __m128i q8h_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
p16h = _mm_maddubs_epi16(q4h_1, q8h_1);
|
|
p16h = _mm_madd_epi16(scale_h, p16h);
|
|
sumi_1 = _mm_add_epi32(sumi_1, p16h);
|
|
|
|
}
|
|
|
|
__m256 vd = _mm256_set1_ps(d);
|
|
__m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(sumi)), acc);
|
|
|
|
}
|
|
|
|
acc_m = _mm_add_ps(acc_m, _mm_movehl_ps(acc_m, acc_m));
|
|
acc_m = _mm_add_ss(acc_m, _mm_movehdup_ps(acc_m));
|
|
|
|
*s = hsum_float_8(acc) + _mm_cvtss_f32(acc_m);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
const uint8_t * scales = (const uint8_t*)&utmp[0];
|
|
const uint8_t * mins = (const uint8_t*)&utmp[2];
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
size_t vl = 8;
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
vint16mf2_t q8sums_0 = __riscv_vlse16_v_i16mf2(y[i].bsums, 4, vl);
|
|
vint16mf2_t q8sums_1 = __riscv_vlse16_v_i16mf2(y[i].bsums+1, 4, vl);
|
|
vint16mf2_t q8sums = __riscv_vadd_vv_i16mf2(q8sums_0, q8sums_1, vl);
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
vuint8mf4_t mins8 = __riscv_vle8_v_u8mf4(mins, vl);
|
|
vint16mf2_t v_mins = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vzext_vf2_u16mf2(mins8, vl));
|
|
vint32m1_t prod = __riscv_vwmul_vv_i32m1(q8sums, v_mins, vl);
|
|
|
|
vint32m1_t sumi = __riscv_vredsum_vs_i32m1_i32m1(prod, __riscv_vmv_v_x_i32m1(0, 1), vl);
|
|
sumf -= dmin * __riscv_vmv_x_s_i32m1_i32(sumi);
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
vl = 32;
|
|
|
|
int32_t sum_1 = 0;
|
|
int32_t sum_2 = 0;
|
|
|
|
vint16m1_t vzero = __riscv_vmv_v_x_i16m1(0, 1);
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
// load Q4
|
|
vuint8m1_t q4_x = __riscv_vle8_v_u8m1(q4, vl);
|
|
|
|
// load Q8 and multiply it with lower Q4 nibble
|
|
vint8m1_t q8_0 = __riscv_vle8_v_i8m1(q8, vl);
|
|
vint8m1_t q4_0 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(q4_x, 0x0F, vl));
|
|
vint16m2_t qv_0 = __riscv_vwmul_vv_i16m2(q4_0, q8_0, vl);
|
|
vint16m1_t vs_0 = __riscv_vredsum_vs_i16m2_i16m1(qv_0, vzero, vl);
|
|
|
|
sum_1 += __riscv_vmv_x_s_i16m1_i16(vs_0) * scales[2*j+0];
|
|
|
|
// load Q8 and multiply it with upper Q4 nibble
|
|
vint8m1_t q8_1 = __riscv_vle8_v_i8m1(q8+32, vl);
|
|
vint8m1_t q4_1 = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vsrl_vx_u8m1(q4_x, 0x04, vl));
|
|
vint16m2_t qv_1 = __riscv_vwmul_vv_i16m2(q4_1, q8_1, vl);
|
|
vint16m1_t vs_1 = __riscv_vredsum_vs_i16m2_i16m1(qv_1, vzero, vl);
|
|
|
|
sum_2 += __riscv_vmv_x_s_i16m1_i16(vs_1) * scales[2*j+1];
|
|
|
|
q4 += 32; q8 += 64;
|
|
|
|
}
|
|
|
|
sumf += d*(sum_1 + sum_2);
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
|
|
const uint8_t * scales = (const uint8_t*)&utmp[0];
|
|
const uint8_t * mins = (const uint8_t*)&utmp[2];
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
int8_t * restrict a = aux8;
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l] & 0xF);
|
|
a += 32;
|
|
for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l] >> 4);
|
|
a += 32; q4 += 32;
|
|
}
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
int sumi = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) sumi += y[i].bsums[j] * mins[j/2];
|
|
a = aux8;
|
|
int is = 0;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
int32_t scale = scales[is++];
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
const float dmin = GGML_FP16_TO_FP32(x[i].dmin) * y[i].d;
|
|
sumf -= dmin * sumi;
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
#else
|
|
void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q4_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m4b = vdupq_n_u8(0xf);
|
|
|
|
const int32x4_t mzero = vdupq_n_s32(0);
|
|
|
|
float sumf = 0;
|
|
|
|
ggml_int8x16x2_t q4bytes;
|
|
ggml_int8x16x4_t q8bytes;
|
|
|
|
float sum_mins = 0.f;
|
|
|
|
uint16_t aux16[2];
|
|
const uint8_t * restrict scales = (const uint8_t *)aux16;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint16_t * restrict a = (const uint16_t *)x[i].scales;
|
|
aux16[0] = a[0] & 0x0f0f;
|
|
aux16[1] = (a[0] >> 4) & 0x0f0f;
|
|
|
|
const int32_t summi = scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]);
|
|
sum_mins += y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * summi;
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
|
|
|
|
const ggml_uint8x16x2_t q4bits = ggml_vld1q_u8_x2(q4);
|
|
|
|
q8bytes = ggml_vld1q_s8_x4(q8);
|
|
q4bytes.val[0] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[0], m4b));
|
|
q4bytes.val[1] = vreinterpretq_s8_u8(vandq_u8 (q4bits.val[1], m4b));
|
|
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]);
|
|
const int32_t sumi1 = vaddvq_s32(p1) * scales[0];
|
|
|
|
q4bytes.val[0] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[0], 4));
|
|
q4bytes.val[1] = vreinterpretq_s8_u8(vshrq_n_u8(q4bits.val[1], 4));
|
|
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[2]), q4bytes.val[1], q8bytes.val[3]);
|
|
const int32_t sumi2 = vaddvq_s32(p2) * scales[1];
|
|
|
|
sumf += d * (sumi1 + sumi2);
|
|
}
|
|
|
|
*s = sumf - sum_mins;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0;
|
|
|
|
uint16_t aux16[2];
|
|
const uint8_t * scales = (const uint8_t *)aux16;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d[0]) * y[i].d;
|
|
const float m = GGML_FP16_TO_FP32(x[i].d[1]) * y[i].d;
|
|
const __m256 vd = _mm256_set1_ps(d);
|
|
|
|
const uint16_t * a = (const uint16_t *)x[i].scales;
|
|
aux16[0] = a[0] & 0x0f0f;
|
|
aux16[1] = (a[0] >> 4) & 0x0f0f;
|
|
|
|
summs += m * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m256i q4bits = _mm256_loadu_si256((const __m256i*)q4);
|
|
const __m256i q4l = _mm256_and_si256(q4bits, m4);
|
|
const __m256i q4h = _mm256_and_si256(_mm256_srli_epi16(q4bits, 4), m4);
|
|
|
|
const __m256i q8l = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8h = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m256i p16l = _mm256_maddubs_epi16(q4l, q8l);
|
|
const __m256i p16h = _mm256_maddubs_epi16(q4h, q8h);
|
|
|
|
const __m256i p32l = _mm256_madd_epi16(_mm256_set1_epi16(scales[0]), p16l);
|
|
acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(p32l), acc);
|
|
|
|
const __m256i p32h = _mm256_madd_epi16(_mm256_set1_epi16(scales[1]), p16h);
|
|
acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(p32h), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc) - summs;
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0;
|
|
|
|
uint16_t aux16[2];
|
|
const uint8_t * scales = (const uint8_t *)aux16;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d[0]) * y[i].d;
|
|
const float m = GGML_FP16_TO_FP32(x[i].d[1]) * y[i].d;
|
|
const __m256 vd = _mm256_set1_ps(d);
|
|
|
|
const uint16_t * a = (const uint16_t *)x[i].scales;
|
|
aux16[0] = a[0] & 0x0f0f;
|
|
aux16[1] = (a[0] >> 4) & 0x0f0f;
|
|
|
|
summs += m * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m256i q4bits = _mm256_loadu_si256((const __m256i*)q4);
|
|
const __m128i q4bits_0 = _mm256_extractf128_si256(q4bits, 0);
|
|
const __m128i q4bits_1 = _mm256_extractf128_si256(q4bits, 1);
|
|
const __m128i q4_0 = _mm_and_si128(q4bits_0, m4);
|
|
const __m128i q4_1 = _mm_and_si128(q4bits_1, m4);
|
|
const __m128i q4_2 = _mm_and_si128(_mm_srli_epi16(q4bits_0, 4), m4);
|
|
const __m128i q4_3 = _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m128i p16_0 = _mm_maddubs_epi16(q4_0, _mm256_extractf128_si256(q8_0, 0));
|
|
const __m128i p16_1 = _mm_maddubs_epi16(q4_1, _mm256_extractf128_si256(q8_0, 1));
|
|
const __m128i p16_2 = _mm_maddubs_epi16(q4_2, _mm256_extractf128_si256(q8_1, 0));
|
|
const __m128i p16_3 = _mm_maddubs_epi16(q4_3, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
const __m128i p32_0 = _mm_madd_epi16(_mm_set1_epi16(scales[0]), p16_0);
|
|
const __m128i p32_1 = _mm_madd_epi16(_mm_set1_epi16(scales[0]), p16_1);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(MM256_SET_M128I(p32_1, p32_0))), acc);
|
|
|
|
const __m128i p32_2 = _mm_madd_epi16(_mm_set1_epi16(scales[1]), p16_2);
|
|
const __m128i p32_3 = _mm_madd_epi16(_mm_set1_epi16(scales[1]), p16_3);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(MM256_SET_M128I(p32_3, p32_2))), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc) - summs;
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
uint16_t s16[2];
|
|
const uint8_t * restrict scales = (const uint8_t *)s16;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint16_t * restrict b = (const uint16_t *)x[i].scales;
|
|
s16[0] = b[0] & 0x0f0f;
|
|
s16[1] = (b[0] >> 4) & 0x0f0f;
|
|
|
|
sumf -= y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
|
|
|
|
size_t vl = 32;
|
|
|
|
vint16m1_t vzero = __riscv_vmv_v_x_i16m1(0, 1);
|
|
|
|
// load Q4
|
|
vuint8m1_t q4_x = __riscv_vle8_v_u8m1(q4, vl);
|
|
|
|
// load Q8 and multiply it with lower Q4 nibble
|
|
vint8m1_t q4_a = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(q4_x, 0x0F, vl));
|
|
vint16m2_t va_0 = __riscv_vwmul_vv_i16m2(q4_a, __riscv_vle8_v_i8m1(q8, vl), vl);
|
|
vint16m1_t aux1 = __riscv_vredsum_vs_i16m2_i16m1(va_0, vzero, vl);
|
|
|
|
sumf += d*scales[0]*__riscv_vmv_x_s_i16m1_i16(aux1);
|
|
|
|
// load Q8 and multiply it with upper Q4 nibble
|
|
vint8m1_t q4_s = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vsrl_vx_u8m1(q4_x, 0x04, vl));
|
|
vint16m2_t va_1 = __riscv_vwmul_vv_i16m2(q4_s, __riscv_vle8_v_i8m1(q8+32, vl), vl);
|
|
vint16m1_t aux2 = __riscv_vredsum_vs_i16m2_i16m1(va_1, vzero, vl);
|
|
|
|
sumf += d*scales[1]*__riscv_vmv_x_s_i16m1_i16(aux2);
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
uint8_t aux8[QK_K];
|
|
int16_t aux16[16];
|
|
float sums [8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
uint16_t s16[2];
|
|
const uint8_t * restrict scales = (const uint8_t *)s16;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
uint8_t * restrict a = aux8;
|
|
for (int l = 0; l < 32; ++l) a[l+ 0] = q4[l] & 0xF;
|
|
for (int l = 0; l < 32; ++l) a[l+32] = q4[l] >> 4;
|
|
|
|
const uint16_t * restrict b = (const uint16_t *)x[i].scales;
|
|
s16[0] = b[0] & 0x0f0f;
|
|
s16[1] = (b[0] >> 4) & 0x0f0f;
|
|
|
|
sumf -= y[i].d * GGML_FP16_TO_FP32(x[i].d[1]) * (scales[2] * (y[i].bsums[0] + y[i].bsums[1]) + scales[3] * (y[i].bsums[2] + y[i].bsums[3]));
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d[0]);
|
|
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
for (int l = 0; l < 16; ++l) aux16[l] = q8[l] * a[l];
|
|
q8 += 16; a += 16;
|
|
for (int l = 0; l < 16; ++l) aux16[l] += q8[l] * a[l];
|
|
q8 += 16; a += 16;
|
|
const float dl = d * scales[j];
|
|
for (int l = 0; l < 8; ++l) sums[l] += dl * (aux16[l] + aux16[l+8]);
|
|
}
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
#endif
|
|
|
|
#if QK_K == 256
|
|
void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q5_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
static const uint32_t kmask1 = 0x3f3f3f3f;
|
|
static const uint32_t kmask2 = 0x0f0f0f0f;
|
|
static const uint32_t kmask3 = 0x03030303;
|
|
|
|
uint32_t utmp[4];
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m4b = vdupq_n_u8(0xf);
|
|
const uint8x16_t mone = vdupq_n_u8(1);
|
|
const uint8x16_t mtwo = vdupq_n_u8(2);
|
|
const int32x4_t mzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x4_t q5bytes;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const int16x8_t q8sums = vpaddq_s16(vld1q_s16(y[i].bsums), vld1q_s16(y[i].bsums + 8));
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
const uint8x8_t mins8 = vld1_u8((const uint8_t*)utmp + 8);
|
|
const int16x8_t mins = vreinterpretq_s16_u16(vmovl_u8(mins8));
|
|
const int32x4_t prod = vaddq_s32(vmull_s16(vget_low_s16 (q8sums), vget_low_s16 (mins)),
|
|
vmull_s16(vget_high_s16(q8sums), vget_high_s16(mins)));
|
|
int32_t sumi_mins = vaddvq_s32(prod);
|
|
|
|
const uint8_t * scales = (const uint8_t *)utmp;
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
ggml_uint8x16x2_t qhbits = ggml_vld1q_u8_x2(qh);
|
|
|
|
ggml_uint8x16x4_t q5h;
|
|
|
|
int32_t sumi = 0;
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
|
|
const ggml_uint8x16x2_t q5bits = ggml_vld1q_u8_x2(q5); q5 += 32;
|
|
const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
q5h.val[0] = vshlq_n_u8(vandq_u8(mone, qhbits.val[0]), 4);
|
|
q5h.val[1] = vshlq_n_u8(vandq_u8(mone, qhbits.val[1]), 4);
|
|
q5h.val[2] = vshlq_n_u8(vandq_u8(mtwo, qhbits.val[0]), 3);
|
|
q5h.val[3] = vshlq_n_u8(vandq_u8(mtwo, qhbits.val[1]), 3);
|
|
qhbits.val[0] = vshrq_n_u8(qhbits.val[0], 2);
|
|
qhbits.val[1] = vshrq_n_u8(qhbits.val[1], 2);
|
|
|
|
q5bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q5bits.val[0], m4b), q5h.val[0]));
|
|
q5bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q5bits.val[1], m4b), q5h.val[1]));
|
|
q5bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5bits.val[0], 4), q5h.val[2]));
|
|
q5bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q5bits.val[1], 4), q5h.val[3]));
|
|
|
|
sumi += vaddvq_s32(ggml_vdotq_s32(ggml_vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0]), q5bytes.val[1], q8bytes.val[1])) * *scales++;
|
|
sumi += vaddvq_s32(ggml_vdotq_s32(ggml_vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2]), q5bytes.val[3], q8bytes.val[3])) * *scales++;
|
|
}
|
|
|
|
sumf += d * sumi - dmin * sumi_mins;
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
const __m128i mzero = _mm_setzero_si128();
|
|
const __m256i mone = _mm256_set1_epi8(1);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0.f;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
#if QK_K == 256
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
#else
|
|
// TODO
|
|
const float d = 0, dmin = 0;
|
|
#endif
|
|
|
|
const __m256i mins_and_scales = _mm256_cvtepu8_epi16(_mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]));
|
|
|
|
const __m256i q8sums = _mm256_loadu_si256((const __m256i*)y[i].bsums);
|
|
const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
|
|
const __m128i prod = _mm_madd_epi16(_mm256_extracti128_si256(mins_and_scales, 1), q8s);
|
|
const __m128i hsum = _mm_hadd_epi32(_mm_hadd_epi32(prod, mzero), mzero);
|
|
summs += dmin * _mm_extract_epi32(hsum, 0);
|
|
|
|
const __m128i sc128 = _mm256_extracti128_si256(mins_and_scales, 0);
|
|
const __m256i scales = MM256_SET_M128I(sc128, sc128);
|
|
|
|
const __m256i hbits = _mm256_loadu_si256((const __m256i*)x[i].qh);
|
|
__m256i hmask = mone;
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
int bit = 0;
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
|
|
const __m256i scale_0 = _mm256_shuffle_epi8(scales, get_scale_shuffle_k4(2*j+0));
|
|
const __m256i scale_1 = _mm256_shuffle_epi8(scales, get_scale_shuffle_k4(2*j+1));
|
|
|
|
const __m256i q5bits = _mm256_loadu_si256((const __m256i*)q5); q5 += 32;
|
|
|
|
const __m256i q5l_0 = _mm256_and_si256(q5bits, m4);
|
|
const __m256i q5h_0 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_and_si256(hbits, hmask), bit++), 4);
|
|
const __m256i q5_0 = _mm256_add_epi8(q5l_0, q5h_0);
|
|
hmask = _mm256_slli_epi16(hmask, 1);
|
|
|
|
const __m256i q5l_1 = _mm256_and_si256(_mm256_srli_epi16(q5bits, 4), m4);
|
|
const __m256i q5h_1 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_and_si256(hbits, hmask), bit++), 4);
|
|
const __m256i q5_1 = _mm256_add_epi8(q5l_1, q5h_1);
|
|
hmask = _mm256_slli_epi16(hmask, 1);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
__m256i p16_0 = _mm256_maddubs_epi16(q5_0, q8_0);
|
|
__m256i p16_1 = _mm256_maddubs_epi16(q5_1, q8_1);
|
|
|
|
p16_0 = _mm256_madd_epi16(scale_0, p16_0);
|
|
p16_1 = _mm256_madd_epi16(scale_1, p16_1);
|
|
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_0, p16_1));
|
|
|
|
}
|
|
|
|
__m256 vd = _mm256_set1_ps(d);
|
|
acc = _mm256_fmadd_ps(vd, _mm256_cvtepi32_ps(sumi), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i mzero = _mm_setzero_si128();
|
|
const __m128i mone = _mm_set1_epi8(1);
|
|
const __m128i m2 = _mm_set1_epi8(2);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
float summs = 0.f;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const float dmin = -y[i].d * GGML_FP16_TO_FP32(x[i].dmin);
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
const __m128i utmps = _mm_set_epi32(utmp[3], utmp[2], utmp[1], utmp[0]);
|
|
const __m128i scales = _mm_cvtepu8_epi16(utmps);
|
|
const __m128i mins = _mm_cvtepu8_epi16(_mm_unpackhi_epi64(utmps, utmps));
|
|
|
|
const __m128i q8sums_0 = _mm_loadu_si128((const __m128i*)&y[i].bsums[0]);
|
|
const __m128i q8sums_1 = _mm_loadu_si128((const __m128i*)&y[i].bsums[8]);
|
|
const __m128i q8s = _mm_hadd_epi16(q8sums_0, q8sums_1);
|
|
const __m128i prod = _mm_madd_epi16(mins, q8s);
|
|
const __m128i hsum = _mm_hadd_epi32(_mm_hadd_epi32(prod, mzero), mzero);
|
|
summs += dmin * _mm_extract_epi32(hsum, 0);
|
|
|
|
const __m128i hbits_0 = _mm_loadu_si128((const __m128i*)&x[i].qh[0]);
|
|
const __m128i hbits_1 = _mm_loadu_si128((const __m128i*)&x[i].qh[16]);
|
|
__m128i hmask = mone;
|
|
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
int bit = 0;
|
|
|
|
__m128i shuffle = _mm_set1_epi16(0x0100);
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
|
|
const __m128i scale_0 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
const __m128i scale_1 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi16(shuffle, m2);
|
|
|
|
const __m128i q5bits_0 = _mm_loadu_si128((const __m128i*)q5); q5 += 16;
|
|
const __m128i q5bits_1 = _mm_loadu_si128((const __m128i*)q5); q5 += 16;
|
|
|
|
__m128i q5l_0 = _mm_and_si128(q5bits_0, m4);
|
|
__m128i q5l_1 = _mm_and_si128(q5bits_1, m4);
|
|
__m128i q5h_0 = _mm_slli_epi16(_mm_srli_epi16(_mm_and_si128(hbits_0, hmask), bit), 4);
|
|
__m128i q5h_1 = _mm_slli_epi16(_mm_srli_epi16(_mm_and_si128(hbits_1, hmask), bit++), 4);
|
|
__m128i q5_0 = _mm_add_epi8(q5l_0, q5h_0);
|
|
__m128i q5_1 = _mm_add_epi8(q5l_1, q5h_1);
|
|
hmask = _mm_slli_epi16(hmask, 1);
|
|
|
|
__m128i q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
__m128i q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
__m128i p16_0 = _mm_maddubs_epi16(q5_0, q8_0);
|
|
__m128i p16_1 = _mm_maddubs_epi16(q5_1, q8_1);
|
|
p16_0 = _mm_madd_epi16(scale_0, p16_0);
|
|
p16_1 = _mm_madd_epi16(scale_0, p16_1);
|
|
|
|
q5l_0 = _mm_and_si128(_mm_srli_epi16(q5bits_0, 4), m4);
|
|
q5l_1 = _mm_and_si128(_mm_srli_epi16(q5bits_1, 4), m4);
|
|
q5h_0 = _mm_slli_epi16(_mm_srli_epi16(_mm_and_si128(hbits_0, hmask), bit), 4);
|
|
q5h_1 = _mm_slli_epi16(_mm_srli_epi16(_mm_and_si128(hbits_1, hmask), bit++), 4);
|
|
q5_0 = _mm_add_epi8(q5l_0, q5h_0);
|
|
q5_1 = _mm_add_epi8(q5l_1, q5h_1);
|
|
hmask = _mm_slli_epi16(hmask, 1);
|
|
|
|
q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
__m128i p16_2 = _mm_maddubs_epi16(q5_0, q8_0);
|
|
__m128i p16_3 = _mm_maddubs_epi16(q5_1, q8_1);
|
|
p16_2 = _mm_madd_epi16(scale_1, p16_2);
|
|
p16_3 = _mm_madd_epi16(scale_1, p16_3);
|
|
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_1, p16_3));
|
|
|
|
}
|
|
|
|
__m256 vd = _mm256_set1_ps(d);
|
|
__m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(vd, _mm256_cvtepi32_ps(sumi)), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc) + summs;
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
const uint8_t * scales = (const uint8_t*)&utmp[0];
|
|
const uint8_t * mins = (const uint8_t*)&utmp[2];
|
|
|
|
float sumf = 0;
|
|
float sums = 0.0;
|
|
|
|
size_t vl;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
vl = 8;
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const float dmin = GGML_FP16_TO_FP32(x[i].dmin) * y[i].d;
|
|
|
|
vint16mf2_t q8sums_0 = __riscv_vlse16_v_i16mf2(y[i].bsums, 4, vl);
|
|
vint16mf2_t q8sums_1 = __riscv_vlse16_v_i16mf2(y[i].bsums+1, 4, vl);
|
|
vint16mf2_t q8sums = __riscv_vadd_vv_i16mf2(q8sums_0, q8sums_1, vl);
|
|
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
vuint8mf4_t mins8 = __riscv_vle8_v_u8mf4(mins, vl);
|
|
vint16mf2_t v_mins = __riscv_vreinterpret_v_u16mf2_i16mf2(__riscv_vzext_vf2_u16mf2(mins8, vl));
|
|
vint32m1_t prod = __riscv_vwmul_vv_i32m1(q8sums, v_mins, vl);
|
|
|
|
vint32m1_t sumi = __riscv_vredsum_vs_i32m1_i32m1(prod, __riscv_vmv_v_x_i32m1(0, 1), vl);
|
|
sumf -= dmin * __riscv_vmv_x_s_i32m1_i32(sumi);
|
|
|
|
vl = 32;
|
|
int32_t aux32 = 0;
|
|
int is = 0;
|
|
|
|
uint8_t m = 1;
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
vuint8m1_t vqh = __riscv_vle8_v_u8m1(hm, vl);
|
|
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
// load Q5 and Q8
|
|
vuint8m1_t q5_x = __riscv_vle8_v_u8m1(q5, vl);
|
|
vint8m1_t q8_y1 = __riscv_vle8_v_i8m1(q8, vl);
|
|
vint8m1_t q8_y2 = __riscv_vle8_v_i8m1(q8+32, vl);
|
|
|
|
// compute mask for addition
|
|
vint8m1_t q5_a = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vand_vx_u8m1(q5_x, 0x0F, vl));
|
|
vuint8m1_t qh_m1 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_1 = __riscv_vmsne_vx_u8m1_b8(qh_m1, 0, vl);
|
|
vint8m1_t q5_m1 = __riscv_vadd_vx_i8m1_m(vmask_1, q5_a, 16, vl);
|
|
m <<= 1;
|
|
|
|
vint8m1_t q5_l = __riscv_vreinterpret_v_u8m1_i8m1(__riscv_vsrl_vx_u8m1(q5_x, 0x04, vl));
|
|
vuint8m1_t qh_m2 = __riscv_vand_vx_u8m1(vqh, m, vl);
|
|
vbool8_t vmask_2 = __riscv_vmsne_vx_u8m1_b8(qh_m2, 0, vl);
|
|
vint8m1_t q5_m2 = __riscv_vadd_vx_i8m1_m(vmask_2, q5_l, 16, vl);
|
|
m <<= 1;
|
|
|
|
vint16m2_t v0 = __riscv_vwmul_vv_i16m2(q5_m1, q8_y1, vl);
|
|
vint16m2_t v1 = __riscv_vwmul_vv_i16m2(q5_m2, q8_y2, vl);
|
|
|
|
vint32m4_t vs1 = __riscv_vwmul_vx_i32m4(v0, scales[is++], vl);
|
|
vint32m4_t vs2 = __riscv_vwmul_vx_i32m4(v1, scales[is++], vl);
|
|
|
|
vint32m1_t vacc1 = __riscv_vredsum_vs_i32m4_i32m1(vs1, vzero, vl);
|
|
vint32m1_t vacc2 = __riscv_vredsum_vs_i32m4_i32m1(vs2, vzero, vl);
|
|
|
|
aux32 += __riscv_vmv_x_s_i32m1_i32(vacc1) + __riscv_vmv_x_s_i32m1_i32(vacc2);
|
|
q5 += 32; q8 += 64;
|
|
|
|
}
|
|
|
|
vfloat32m1_t vaux = __riscv_vfmul_vf_f32m1(__riscv_vfmv_v_f_f32m1(aux32, 1), d, 1);
|
|
sums += __riscv_vfmv_f_s_f32m1_f32(vaux);
|
|
|
|
}
|
|
|
|
*s = sumf+sums;
|
|
|
|
#else
|
|
|
|
const uint8_t * scales = (const uint8_t*)&utmp[0];
|
|
const uint8_t * mins = (const uint8_t*)&utmp[2];
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
int8_t * restrict a = aux8;
|
|
uint8_t m = 1;
|
|
for (int j = 0; j < QK_K/64; ++j) {
|
|
for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l] & 0xF);
|
|
for (int l = 0; l < 32; ++l) a[l] += (hm[l] & m ? 16 : 0);
|
|
a += 32; m <<= 1;
|
|
for (int l = 0; l < 32; ++l) a[l] = (int8_t)(q4[l] >> 4);
|
|
for (int l = 0; l < 32; ++l) a[l] += (hm[l] & m ? 16 : 0);
|
|
a += 32; m <<= 1;
|
|
q4 += 32;
|
|
}
|
|
memcpy(utmp, x[i].scales, 12);
|
|
utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
|
|
const uint32_t uaux = utmp[1] & kmask1;
|
|
utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
|
|
utmp[2] = uaux;
|
|
utmp[0] &= kmask1;
|
|
|
|
int sumi = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) sumi += y[i].bsums[j] * mins[j/2];
|
|
a = aux8;
|
|
int is = 0;
|
|
for (int j = 0; j < QK_K/32; ++j) {
|
|
int32_t scale = scales[is++];
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
const float dmin = GGML_FP16_TO_FP32(x[i].dmin) * y[i].d;
|
|
sumf -= dmin * sumi;
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
#else
|
|
|
|
void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q5_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
const uint8x16_t m4b = vdupq_n_u8(0xf);
|
|
const uint8x16_t mh = vdupq_n_u8(16);
|
|
const int32x4_t mzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x4_t q5bytes;
|
|
ggml_uint8x16x4_t q5h;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const int8_t * sc = x[i].scales;
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const uint8x8_t qhbits = vld1_u8(qh);
|
|
|
|
const ggml_uint8x16x2_t q5bits = ggml_vld1q_u8_x2(q5);
|
|
const ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
|
|
|
|
const uint8x16_t htmp = vcombine_u8(qhbits, vshr_n_u8(qhbits, 1));
|
|
q5h.val[0] = vbicq_u8(mh, vshlq_n_u8(htmp, 4));
|
|
q5h.val[1] = vbicq_u8(mh, vshlq_n_u8(htmp, 2));
|
|
q5h.val[2] = vbicq_u8(mh, htmp);
|
|
q5h.val[3] = vbicq_u8(mh, vshrq_n_u8(htmp, 2));
|
|
|
|
q5bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q5bits.val[0], m4b)), vreinterpretq_s8_u8(q5h.val[0]));
|
|
q5bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vandq_u8(q5bits.val[1], m4b)), vreinterpretq_s8_u8(q5h.val[1]));
|
|
q5bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[0], 4)), vreinterpretq_s8_u8(q5h.val[2]));
|
|
q5bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vshrq_n_u8(q5bits.val[1], 4)), vreinterpretq_s8_u8(q5h.val[3]));
|
|
|
|
int32_t sumi1 = sc[0] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0]));
|
|
int32_t sumi2 = sc[1] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[1], q8bytes.val[1]));
|
|
int32_t sumi3 = sc[2] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2]));
|
|
int32_t sumi4 = sc[3] * vaddvq_s32(ggml_vdotq_s32(mzero, q5bytes.val[3], q8bytes.val[3]));
|
|
|
|
sumf += d * (sumi1 + sumi2 + sumi3 + sumi4);
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
const __m256i mone = _mm256_set1_epi8(1);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const __m256i q5bits = _mm256_loadu_si256((const __m256i*)q5);
|
|
|
|
const __m256i scale_l = MM256_SET_M128I(_mm_set1_epi16(x[i].scales[1]), _mm_set1_epi16(x[i].scales[0]));
|
|
const __m256i scale_h = MM256_SET_M128I(_mm_set1_epi16(x[i].scales[3]), _mm_set1_epi16(x[i].scales[2]));
|
|
|
|
int64_t aux64;
|
|
memcpy(&aux64, x[i].qh, 8);
|
|
const __m128i haux128 = _mm_set_epi64x(aux64 >> 1, aux64);
|
|
const __m256i haux256 = MM256_SET_M128I(_mm_srli_epi16(haux128, 2), haux128);
|
|
|
|
const __m256i q5h_0 = _mm256_slli_epi16(_mm256_andnot_si256(haux256, mone), 4);
|
|
const __m256i q5h_1 = _mm256_slli_epi16(_mm256_andnot_si256(_mm256_srli_epi16(haux256, 4), mone), 4);
|
|
|
|
const __m256i q5l_0 = _mm256_and_si256(q5bits, m4);
|
|
const __m256i q5l_1 = _mm256_and_si256(_mm256_srli_epi16(q5bits, 4), m4);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m256i p16_0 = _mm256_madd_epi16(scale_l, _mm256_maddubs_epi16(q5l_0, q8_0));
|
|
const __m256i p16_1 = _mm256_madd_epi16(scale_h, _mm256_maddubs_epi16(q5l_1, q8_1));
|
|
const __m256i s16_0 = _mm256_madd_epi16(scale_l, _mm256_maddubs_epi16(q5h_0, q8_0));
|
|
const __m256i s16_1 = _mm256_madd_epi16(scale_h, _mm256_maddubs_epi16(q5h_1, q8_1));
|
|
|
|
const __m256i dot = _mm256_sub_epi32(_mm256_add_epi32(p16_0, p16_1), _mm256_add_epi32(s16_0, s16_1));
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(dot), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i mone = _mm_set1_epi8(1);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const __m256i q5bits = _mm256_loadu_si256((const __m256i*)q5);
|
|
|
|
const __m128i scale_0 = _mm_set1_epi16(x[i].scales[0]);
|
|
const __m128i scale_1 = _mm_set1_epi16(x[i].scales[1]);
|
|
const __m128i scale_2 = _mm_set1_epi16(x[i].scales[2]);
|
|
const __m128i scale_3 = _mm_set1_epi16(x[i].scales[3]);
|
|
|
|
int64_t aux64;
|
|
memcpy(&aux64, x[i].qh, 8);
|
|
const __m128i haux128_0 = _mm_set_epi64x(aux64 >> 1, aux64);
|
|
const __m128i haux128_1 = _mm_srli_epi16(haux128_0, 2);
|
|
|
|
const __m128i q5h_0 = _mm_slli_epi16(_mm_andnot_si128(haux128_0, mone), 4);
|
|
const __m128i q5h_1 = _mm_slli_epi16(_mm_andnot_si128(haux128_1, mone), 4);
|
|
const __m128i q5h_2 = _mm_slli_epi16(_mm_andnot_si128(_mm_srli_epi16(haux128_0, 4), mone), 4);
|
|
const __m128i q5h_3 = _mm_slli_epi16(_mm_andnot_si128(_mm_srli_epi16(haux128_1, 4), mone), 4);
|
|
|
|
const __m128i q5l_0 = _mm_and_si128(_mm256_extractf128_si256(q5bits, 0), m4);
|
|
const __m128i q5l_1 = _mm_and_si128(_mm256_extractf128_si256(q5bits, 1), m4);
|
|
const __m128i q5l_2 = _mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q5bits, 0), 4), m4);
|
|
const __m128i q5l_3 = _mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q5bits, 1), 4), m4);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
const __m128i p16_0 = _mm_madd_epi16(scale_0, _mm_maddubs_epi16(q5l_0, _mm256_extractf128_si256(q8_0, 0)));
|
|
const __m128i p16_1 = _mm_madd_epi16(scale_1, _mm_maddubs_epi16(q5l_1, _mm256_extractf128_si256(q8_0, 1)));
|
|
const __m128i p16_2 = _mm_madd_epi16(scale_2, _mm_maddubs_epi16(q5l_2, _mm256_extractf128_si256(q8_1, 0)));
|
|
const __m128i p16_3 = _mm_madd_epi16(scale_3, _mm_maddubs_epi16(q5l_3, _mm256_extractf128_si256(q8_1, 1)));
|
|
const __m128i s16_0 = _mm_madd_epi16(scale_0, _mm_maddubs_epi16(q5h_0, _mm256_extractf128_si256(q8_0, 0)));
|
|
const __m128i s16_1 = _mm_madd_epi16(scale_1, _mm_maddubs_epi16(q5h_1, _mm256_extractf128_si256(q8_0, 1)));
|
|
const __m128i s16_2 = _mm_madd_epi16(scale_2, _mm_maddubs_epi16(q5h_2, _mm256_extractf128_si256(q8_1, 0)));
|
|
const __m128i s16_3 = _mm_madd_epi16(scale_3, _mm_maddubs_epi16(q5h_3, _mm256_extractf128_si256(q8_1, 1)));
|
|
|
|
const __m128i dot_0 = _mm_sub_epi32(_mm_add_epi32(p16_0, p16_2), _mm_add_epi32(s16_0, s16_2));
|
|
const __m128i dot_1 = _mm_sub_epi32(_mm_add_epi32(p16_1, p16_3), _mm_add_epi32(s16_1, s16_3));
|
|
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(dot_1, dot_0))), acc);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const int8_t * sc = x[i].scales;
|
|
|
|
const uint8_t * restrict q5 = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
|
|
// load qh
|
|
vuint8mf4_t qh_x1 = __riscv_vle8_v_u8mf4(qh, 8);
|
|
vuint8mf2_t qh_x2 = __riscv_vlmul_ext_v_u8mf4_u8mf2(__riscv_vsrl_vx_u8mf4(qh_x1, 1, 8));
|
|
|
|
size_t vl = 16;
|
|
|
|
// combine both qh_1 and qh_2
|
|
vuint8mf2_t qh_x = __riscv_vslideup_vx_u8mf2(__riscv_vlmul_ext_v_u8mf4_u8mf2(qh_x1), qh_x2, vl/2, vl);
|
|
|
|
vuint8mf2_t qh_h0 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x4, vl), vl), 16, vl);
|
|
vuint8mf2_t qh_h1 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsll_vx_u8mf2(qh_x, 0x2, vl), vl), 16, vl);
|
|
vuint8mf2_t qh_h2 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(qh_x, vl), 16, vl);
|
|
vuint8mf2_t qh_h3 = __riscv_vand_vx_u8mf2(__riscv_vnot_v_u8mf2(__riscv_vsrl_vx_u8mf2(qh_x, 0x4, vl), vl), 16, vl);
|
|
|
|
vint8mf2_t qh_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h0);
|
|
vint8mf2_t qh_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h1);
|
|
vint8mf2_t qh_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h2);
|
|
vint8mf2_t qh_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(qh_h3);
|
|
|
|
// load q5
|
|
vuint8mf2_t q5_x1 = __riscv_vle8_v_u8mf2(q5, vl);
|
|
vuint8mf2_t q5_x2 = __riscv_vle8_v_u8mf2(q5+16, vl);
|
|
|
|
vint8mf2_t q5s_0 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q5_x1, 0xF, vl));
|
|
vint8mf2_t q5s_1 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vand_vx_u8mf2(q5_x2, 0xF, vl));
|
|
vint8mf2_t q5s_2 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(q5_x1, 0x4, vl));
|
|
vint8mf2_t q5s_3 = __riscv_vreinterpret_v_u8mf2_i8mf2(__riscv_vsrl_vx_u8mf2(q5_x2, 0x4, vl));
|
|
|
|
vint8mf2_t q5_0 = __riscv_vsub_vv_i8mf2(q5s_0, qh_0, vl);
|
|
vint8mf2_t q5_1 = __riscv_vsub_vv_i8mf2(q5s_1, qh_1, vl);
|
|
vint8mf2_t q5_2 = __riscv_vsub_vv_i8mf2(q5s_2, qh_2, vl);
|
|
vint8mf2_t q5_3 = __riscv_vsub_vv_i8mf2(q5s_3, qh_3, vl);
|
|
|
|
// load Q8 and multiply it with Q5
|
|
vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q5_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
|
|
vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q5_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
|
|
vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q5_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
|
|
vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q5_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
|
|
|
|
vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
|
|
vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
|
|
vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
|
|
vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
|
|
|
|
int32_t sumi1 = sc[0] * __riscv_vmv_x_s_i32m1_i32(vs_0);
|
|
int32_t sumi2 = sc[1] * __riscv_vmv_x_s_i32m1_i32(vs_1);
|
|
int32_t sumi3 = sc[2] * __riscv_vmv_x_s_i32m1_i32(vs_2);
|
|
int32_t sumi4 = sc[3] * __riscv_vmv_x_s_i32m1_i32(vs_3);
|
|
|
|
sumf += d * (sumi1 + sumi2 + sumi3 + sumi4);
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[16];
|
|
float sums [8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].qs;
|
|
const uint8_t * restrict hm = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int8_t * restrict a = aux8;
|
|
for (int l = 0; l < 32; ++l) {
|
|
a[l+ 0] = q4[l] & 0xF;
|
|
a[l+32] = q4[l] >> 4;
|
|
}
|
|
for (int is = 0; is < 8; ++is) {
|
|
uint8_t m = 1 << is;
|
|
for (int l = 0; l < 8; ++l) a[8*is + l] -= (hm[l] & m ? 0 : 16);
|
|
}
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
const int8_t * restrict sc = x[i].scales;
|
|
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
const float dl = d * sc[j];
|
|
for (int l = 0; l < 16; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) sums[l] += dl * (aux16[l] + aux16[8+l]);
|
|
q8 += 16; a += 16;
|
|
}
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
#endif
|
|
|
|
|
|
#if QK_K == 256
|
|
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q6_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
float sum = 0;
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0xF);
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
//const int8x16_t m32s = vdupq_n_s8(32);
|
|
|
|
const uint8x16_t mone = vdupq_n_u8(3);
|
|
|
|
ggml_int8x16x4_t q6bytes;
|
|
ggml_uint8x16x4_t q6h;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d_all = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q6 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const int8_t * restrict scale = x[i].scales;
|
|
|
|
const ggml_int16x8x2_t q8sums = ggml_vld1q_s16_x2(y[i].bsums);
|
|
const int8x16_t scales = vld1q_s8(scale);
|
|
const ggml_int16x8x2_t q6scales = {{vmovl_s8(vget_low_s8(scales)), vmovl_s8(vget_high_s8(scales))}};
|
|
|
|
const int32x4_t prod = vaddq_s32(vaddq_s32(vmull_s16(vget_low_s16 (q8sums.val[0]), vget_low_s16 (q6scales.val[0])),
|
|
vmull_s16(vget_high_s16(q8sums.val[0]), vget_high_s16(q6scales.val[0]))),
|
|
vaddq_s32(vmull_s16(vget_low_s16 (q8sums.val[1]), vget_low_s16 (q6scales.val[1])),
|
|
vmull_s16(vget_high_s16(q8sums.val[1]), vget_high_s16(q6scales.val[1]))));
|
|
int32_t isum_mins = vaddvq_s32(prod);
|
|
|
|
int32_t isum = 0;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
ggml_uint8x16x2_t qhbits = ggml_vld1q_u8_x2(qh); qh += 32;
|
|
ggml_uint8x16x4_t q6bits = ggml_vld1q_u8_x4(q6); q6 += 64;
|
|
ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
q6h.val[0] = vshlq_n_u8(vandq_u8(mone, qhbits.val[0]), 4);
|
|
q6h.val[1] = vshlq_n_u8(vandq_u8(mone, qhbits.val[1]), 4);
|
|
uint8x16_t shifted = vshrq_n_u8(qhbits.val[0], 2);
|
|
q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits.val[1], 2);
|
|
q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
|
|
//q6bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[0], m4b), q6h.val[0])), m32s);
|
|
//q6bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[1], m4b), q6h.val[1])), m32s);
|
|
//q6bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[2], m4b), q6h.val[2])), m32s);
|
|
//q6bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[3], m4b), q6h.val[3])), m32s);
|
|
q6bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[0], m4b), q6h.val[0]));
|
|
q6bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[1], m4b), q6h.val[1]));
|
|
q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[2], m4b), q6h.val[2]));
|
|
q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[3], m4b), q6h.val[3]));
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];
|
|
|
|
scale += 4;
|
|
|
|
q8bytes = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
shifted = vshrq_n_u8(qhbits.val[0], 4);
|
|
q6h.val[0] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits.val[1], 4);
|
|
q6h.val[1] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits.val[0], 6);
|
|
q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits.val[1], 6);
|
|
q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
|
|
//q6bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[0])), m32s);
|
|
//q6bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[1])), m32s);
|
|
//q6bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[2], 4), q6h.val[2])), m32s);
|
|
//q6bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[3], 4), q6h.val[3])), m32s);
|
|
q6bytes.val[0] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[0]));
|
|
q6bytes.val[1] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[1]));
|
|
q6bytes.val[2] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[2], 4), q6h.val[2]));
|
|
q6bytes.val[3] = vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[3], 4), q6h.val[3]));
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];
|
|
scale += 4;
|
|
}
|
|
//sum += isum * d_all * y[i].d;
|
|
sum += d_all * y[i].d * (isum - 32 * isum_mins);
|
|
|
|
}
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
const __m256i m2 = _mm256_set1_epi8(3);
|
|
const __m256i m32s = _mm256_set1_epi8(32);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m128i scales = _mm_loadu_si128((const __m128i*)x[i].scales);
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
int is = 0;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
const __m128i scale_0 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 0));
|
|
const __m128i scale_1 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 1));
|
|
const __m128i scale_2 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 2));
|
|
const __m128i scale_3 = _mm_shuffle_epi8(scales, get_scale_shuffle(is + 3));
|
|
is += 4;
|
|
|
|
const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4); q4 += 32;
|
|
const __m256i q4bits2 = _mm256_loadu_si256((const __m256i*)q4); q4 += 32;
|
|
const __m256i q4bitsH = _mm256_loadu_si256((const __m256i*)qh); qh += 32;
|
|
|
|
const __m256i q4h_0 = _mm256_slli_epi16(_mm256_and_si256(q4bitsH, m2), 4);
|
|
const __m256i q4h_1 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 2), m2), 4);
|
|
const __m256i q4h_2 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 4), m2), 4);
|
|
const __m256i q4h_3 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q4bitsH, 6), m2), 4);
|
|
|
|
const __m256i q4_0 = _mm256_or_si256(_mm256_and_si256(q4bits1, m4), q4h_0);
|
|
const __m256i q4_1 = _mm256_or_si256(_mm256_and_si256(q4bits2, m4), q4h_1);
|
|
const __m256i q4_2 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits1, 4), m4), q4h_2);
|
|
const __m256i q4_3 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits2, 4), m4), q4h_3);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8_3 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
__m256i q8s_0 = _mm256_maddubs_epi16(m32s, q8_0);
|
|
__m256i q8s_1 = _mm256_maddubs_epi16(m32s, q8_1);
|
|
__m256i q8s_2 = _mm256_maddubs_epi16(m32s, q8_2);
|
|
__m256i q8s_3 = _mm256_maddubs_epi16(m32s, q8_3);
|
|
|
|
__m256i p16_0 = _mm256_maddubs_epi16(q4_0, q8_0);
|
|
__m256i p16_1 = _mm256_maddubs_epi16(q4_1, q8_1);
|
|
__m256i p16_2 = _mm256_maddubs_epi16(q4_2, q8_2);
|
|
__m256i p16_3 = _mm256_maddubs_epi16(q4_3, q8_3);
|
|
|
|
p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm256_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm256_sub_epi16(p16_3, q8s_3);
|
|
|
|
p16_0 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_0), p16_0);
|
|
p16_1 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_1), p16_1);
|
|
p16_2 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_2), p16_2);
|
|
p16_3 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_3), p16_3);
|
|
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_0, p16_1));
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_2, p16_3));
|
|
|
|
}
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i m3 = _mm_set1_epi8(3);
|
|
const __m128i m32s = _mm_set1_epi8(32);
|
|
const __m128i m2 = _mm_set1_epi8(2);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m128i scales = _mm_loadu_si128((const __m128i*)x[i].scales);
|
|
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
__m128i shuffle = _mm_set_epi64x(0x0101010101010101, 0x0000000000000000);
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
const __m128i q4bitsH_0 = _mm_loadu_si128((const __m128i*)qh); qh += 16;
|
|
const __m128i q4bitsH_1 = _mm_loadu_si128((const __m128i*)qh); qh += 16;
|
|
|
|
const __m128i q4h_0 = _mm_slli_epi16(_mm_and_si128(q4bitsH_0, m3), 4);
|
|
const __m128i q4h_1 = _mm_slli_epi16(_mm_and_si128(q4bitsH_1, m3), 4);
|
|
const __m128i q4h_2 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_0, 2), m3), 4);
|
|
const __m128i q4h_3 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_1, 2), m3), 4);
|
|
const __m128i q4h_4 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_0, 4), m3), 4);
|
|
const __m128i q4h_5 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_1, 4), m3), 4);
|
|
const __m128i q4h_6 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_0, 6), m3), 4);
|
|
const __m128i q4h_7 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH_1, 6), m3), 4);
|
|
|
|
const __m128i q4bits1_0 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
const __m128i q4bits1_1 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
const __m128i q4bits2_0 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
const __m128i q4bits2_1 = _mm_loadu_si128((const __m128i*)q4); q4 += 16;
|
|
|
|
const __m128i q4_0 = _mm_or_si128(_mm_and_si128(q4bits1_0, m4), q4h_0);
|
|
const __m128i q4_1 = _mm_or_si128(_mm_and_si128(q4bits1_1, m4), q4h_1);
|
|
const __m128i q4_2 = _mm_or_si128(_mm_and_si128(q4bits2_0, m4), q4h_2);
|
|
const __m128i q4_3 = _mm_or_si128(_mm_and_si128(q4bits2_1, m4), q4h_3);
|
|
const __m128i q4_4 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits1_0, 4), m4), q4h_4);
|
|
const __m128i q4_5 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits1_1, 4), m4), q4h_5);
|
|
const __m128i q4_6 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits2_0, 4), m4), q4h_6);
|
|
const __m128i q4_7 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(q4bits2_1, 4), m4), q4h_7);
|
|
|
|
const __m128i q8_0 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_1 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_2 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_3 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_4 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_5 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_6 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
const __m128i q8_7 = _mm_loadu_si128((const __m128i*)q8); q8 += 16;
|
|
|
|
__m128i q8s_0 = _mm_maddubs_epi16(m32s, q8_0);
|
|
__m128i q8s_1 = _mm_maddubs_epi16(m32s, q8_1);
|
|
__m128i q8s_2 = _mm_maddubs_epi16(m32s, q8_2);
|
|
__m128i q8s_3 = _mm_maddubs_epi16(m32s, q8_3);
|
|
__m128i q8s_4 = _mm_maddubs_epi16(m32s, q8_4);
|
|
__m128i q8s_5 = _mm_maddubs_epi16(m32s, q8_5);
|
|
__m128i q8s_6 = _mm_maddubs_epi16(m32s, q8_6);
|
|
__m128i q8s_7 = _mm_maddubs_epi16(m32s, q8_7);
|
|
|
|
__m128i p16_0 = _mm_maddubs_epi16(q4_0, q8_0);
|
|
__m128i p16_1 = _mm_maddubs_epi16(q4_1, q8_1);
|
|
__m128i p16_2 = _mm_maddubs_epi16(q4_2, q8_2);
|
|
__m128i p16_3 = _mm_maddubs_epi16(q4_3, q8_3);
|
|
__m128i p16_4 = _mm_maddubs_epi16(q4_4, q8_4);
|
|
__m128i p16_5 = _mm_maddubs_epi16(q4_5, q8_5);
|
|
__m128i p16_6 = _mm_maddubs_epi16(q4_6, q8_6);
|
|
__m128i p16_7 = _mm_maddubs_epi16(q4_7, q8_7);
|
|
|
|
p16_0 = _mm_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm_sub_epi16(p16_3, q8s_3);
|
|
p16_4 = _mm_sub_epi16(p16_4, q8s_4);
|
|
p16_5 = _mm_sub_epi16(p16_5, q8s_5);
|
|
p16_6 = _mm_sub_epi16(p16_6, q8s_6);
|
|
p16_7 = _mm_sub_epi16(p16_7, q8s_7);
|
|
|
|
const __m128i scale_0 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi8(shuffle, m2);
|
|
const __m128i scale_1 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi8(shuffle, m2);
|
|
const __m128i scale_2 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi8(shuffle, m2);
|
|
const __m128i scale_3 = _mm_shuffle_epi8(scales, shuffle);
|
|
shuffle = _mm_add_epi8(shuffle, m2);
|
|
|
|
p16_0 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_0), p16_0);
|
|
p16_1 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_0, scale_0)), p16_1);
|
|
p16_2 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_1), p16_2);
|
|
p16_3 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_1, scale_1)), p16_3);
|
|
p16_4 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_2), p16_4);
|
|
p16_5 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_2, scale_2)), p16_5);
|
|
p16_6 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_3), p16_6);
|
|
p16_7 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_3, scale_3)), p16_7);
|
|
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_1, p16_3));
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_4, p16_6));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_5, p16_7));
|
|
|
|
}
|
|
|
|
__m256i sumi = MM256_SET_M128I(sumi_1, sumi_0);
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi)), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
|
|
const uint8_t * restrict q6 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const int8_t * restrict scale = x[i].scales;
|
|
|
|
size_t vl;
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
|
|
int sum_t = 0;
|
|
int is = 0;
|
|
|
|
for (int j = 0; j < QK_K/128; ++j) {
|
|
|
|
vl = 32;
|
|
|
|
// load qh
|
|
vuint8m1_t qh_x = __riscv_vle8_v_u8m1(qh, vl);
|
|
|
|
// load Q6
|
|
vuint8m1_t q6_0 = __riscv_vle8_v_u8m1(q6, vl);
|
|
vuint8m1_t q6_1 = __riscv_vle8_v_u8m1(q6+32, vl);
|
|
|
|
vuint8m1_t q6a_0 = __riscv_vand_vx_u8m1(q6_0, 0x0F, vl);
|
|
vuint8m1_t q6a_1 = __riscv_vand_vx_u8m1(q6_1, 0x0F, vl);
|
|
vuint8m1_t q6s_0 = __riscv_vsrl_vx_u8m1(q6_0, 0x04, vl);
|
|
vuint8m1_t q6s_1 = __riscv_vsrl_vx_u8m1(q6_1, 0x04, vl);
|
|
|
|
vuint8m1_t qh_0 = __riscv_vand_vx_u8m1(qh_x, 0x03, vl);
|
|
vuint8m1_t qh_1 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(qh_x, 0x2, vl), 0x03 , vl);
|
|
vuint8m1_t qh_2 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(qh_x, 0x4, vl), 0x03 , vl);
|
|
vuint8m1_t qh_3 = __riscv_vand_vx_u8m1(__riscv_vsrl_vx_u8m1(qh_x, 0x6, vl), 0x03 , vl);
|
|
|
|
vuint8m1_t qhi_0 = __riscv_vor_vv_u8m1(q6a_0, __riscv_vsll_vx_u8m1(qh_0, 0x04, vl), vl);
|
|
vuint8m1_t qhi_1 = __riscv_vor_vv_u8m1(q6a_1, __riscv_vsll_vx_u8m1(qh_1, 0x04, vl), vl);
|
|
vuint8m1_t qhi_2 = __riscv_vor_vv_u8m1(q6s_0, __riscv_vsll_vx_u8m1(qh_2, 0x04, vl), vl);
|
|
vuint8m1_t qhi_3 = __riscv_vor_vv_u8m1(q6s_1, __riscv_vsll_vx_u8m1(qh_3, 0x04, vl), vl);
|
|
|
|
vint8m1_t a_0 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(qhi_0), 32, vl);
|
|
vint8m1_t a_1 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(qhi_1), 32, vl);
|
|
vint8m1_t a_2 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(qhi_2), 32, vl);
|
|
vint8m1_t a_3 = __riscv_vsub_vx_i8m1(__riscv_vreinterpret_v_u8m1_i8m1(qhi_3), 32, vl);
|
|
|
|
// load Q8 and take product
|
|
vint16m2_t va_q_0 = __riscv_vwmul_vv_i16m2(a_0, __riscv_vle8_v_i8m1(q8, vl), vl);
|
|
vint16m2_t va_q_1 = __riscv_vwmul_vv_i16m2(a_1, __riscv_vle8_v_i8m1(q8+32, vl), vl);
|
|
vint16m2_t va_q_2 = __riscv_vwmul_vv_i16m2(a_2, __riscv_vle8_v_i8m1(q8+64, vl), vl);
|
|
vint16m2_t va_q_3 = __riscv_vwmul_vv_i16m2(a_3, __riscv_vle8_v_i8m1(q8+96, vl), vl);
|
|
|
|
vl = 16;
|
|
|
|
vint32m2_t vaux_0 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_0, 0), scale[is+0], vl);
|
|
vint32m2_t vaux_1 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_0, 1), scale[is+1], vl);
|
|
vint32m2_t vaux_2 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_1, 0), scale[is+2], vl);
|
|
vint32m2_t vaux_3 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_1, 1), scale[is+3], vl);
|
|
vint32m2_t vaux_4 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_2, 0), scale[is+4], vl);
|
|
vint32m2_t vaux_5 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_2, 1), scale[is+5], vl);
|
|
vint32m2_t vaux_6 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_3, 0), scale[is+6], vl);
|
|
vint32m2_t vaux_7 = __riscv_vwmul_vx_i32m2(__riscv_vget_v_i16m2_i16m1(va_q_3, 1), scale[is+7], vl);
|
|
|
|
vint32m1_t isum0 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(vaux_0, vaux_1, vl), vzero, vl);
|
|
vint32m1_t isum1 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(vaux_2, vaux_3, vl), isum0, vl);
|
|
vint32m1_t isum2 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(vaux_4, vaux_5, vl), isum1, vl);
|
|
vint32m1_t isum3 = __riscv_vredsum_vs_i32m2_i32m1(__riscv_vadd_vv_i32m2(vaux_6, vaux_7, vl), isum2, vl);
|
|
|
|
sum_t += __riscv_vmv_x_s_i32m1_i32(isum3);
|
|
|
|
q6 += 64; qh += 32; q8 += 128; is=8;
|
|
|
|
}
|
|
|
|
sumf += d * sum_t;
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
int8_t * restrict a = aux8;
|
|
for (int j = 0; j < QK_K; j += 128) {
|
|
for (int l = 0; l < 32; ++l) {
|
|
a[l + 0] = (int8_t)((q4[l + 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
|
|
a[l + 32] = (int8_t)((q4[l + 32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
|
|
a[l + 64] = (int8_t)((q4[l + 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32;
|
|
a[l + 96] = (int8_t)((q4[l + 32] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32;
|
|
}
|
|
a += 128;
|
|
q4 += 64;
|
|
qh += 32;
|
|
}
|
|
a = aux8;
|
|
int is = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int scale = x[i].scales[is++];
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
#else
|
|
|
|
void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_q6_K * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#ifdef __ARM_NEON
|
|
float sum = 0;
|
|
|
|
const uint8x16_t m4b = vdupq_n_u8(0xF);
|
|
const int8x16_t m32s = vdupq_n_s8(32);
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
const uint8x16_t mone = vdupq_n_u8(3);
|
|
|
|
ggml_int8x16x4_t q6bytes;
|
|
ggml_uint8x16x4_t q6h;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d_all = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q6 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const int8_t * restrict scale = x[i].scales;
|
|
|
|
int32_t isum = 0;
|
|
|
|
uint8x16_t qhbits = vld1q_u8(qh);
|
|
ggml_uint8x16x2_t q6bits = ggml_vld1q_u8_x2(q6);
|
|
ggml_int8x16x4_t q8bytes = ggml_vld1q_s8_x4(q8);
|
|
|
|
q6h.val[0] = vshlq_n_u8(vandq_u8(mone, qhbits), 4);
|
|
uint8x16_t shifted = vshrq_n_u8(qhbits, 2);
|
|
q6h.val[1] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits, 4);
|
|
q6h.val[2] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
shifted = vshrq_n_u8(qhbits, 6);
|
|
q6h.val[3] = vshlq_n_u8(vandq_u8(mone, shifted), 4);
|
|
|
|
q6bytes.val[0] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[0], m4b), q6h.val[0])), m32s);
|
|
q6bytes.val[1] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vandq_u8(q6bits.val[1], m4b), q6h.val[1])), m32s);
|
|
q6bytes.val[2] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[0], 4), q6h.val[2])), m32s);
|
|
q6bytes.val[3] = vsubq_s8(vreinterpretq_s8_u8(vorrq_u8(vshrq_n_u8(q6bits.val[1], 4), q6h.val[3])), m32s);
|
|
|
|
isum += vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] +
|
|
vaddvq_s32(ggml_vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3];
|
|
|
|
sum += isum * d_all * y[i].d;
|
|
|
|
}
|
|
*s = sum;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m256i m4 = _mm256_set1_epi8(0xF);
|
|
const __m256i m2 = _mm256_set1_epi8(3);
|
|
const __m256i m32s = _mm256_set1_epi8(32);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m64 scales_1 = _mm_set1_pi8(x[i].scales[0]);
|
|
const __m64 scales_2 = _mm_set1_pi8(x[i].scales[1]);
|
|
const __m64 scales_3 = _mm_set1_pi8(x[i].scales[2]);
|
|
const __m64 scales_4 = _mm_set1_pi8(x[i].scales[3]);
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
|
|
const __m128i scale_0 = _mm_set_epi64(scales_2, scales_1);
|
|
const __m128i scale_1 = _mm_set_epi64(scales_4, scales_3);
|
|
|
|
const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4);
|
|
const __m128i q4bitsH = _mm_loadu_si128((const __m128i*)qh);
|
|
|
|
const __m256i q4h_0 = _mm256_slli_epi16(_mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q4bitsH, 2), q4bitsH), m2), 4);
|
|
const __m256i q4h_1 = _mm256_slli_epi16(_mm256_and_si256(MM256_SET_M128I(_mm_srli_epi16(q4bitsH, 6), _mm_srli_epi16(q4bitsH, 4)), m2), 4);
|
|
|
|
const __m256i q4_0 = _mm256_or_si256(_mm256_and_si256(q4bits1, m4), q4h_0);
|
|
const __m256i q4_1 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q4bits1, 4), m4), q4h_1);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
__m256i q8s_0 = _mm256_maddubs_epi16(m32s, q8_0);
|
|
__m256i q8s_1 = _mm256_maddubs_epi16(m32s, q8_1);
|
|
|
|
__m256i p16_0 = _mm256_maddubs_epi16(q4_0, q8_0);
|
|
__m256i p16_1 = _mm256_maddubs_epi16(q4_1, q8_1);
|
|
|
|
p16_0 = _mm256_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm256_sub_epi16(p16_1, q8s_1);
|
|
|
|
p16_0 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_0), p16_0);
|
|
p16_1 = _mm256_madd_epi16(_mm256_cvtepi8_epi16(scale_1), p16_1);
|
|
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p16_0, p16_1));
|
|
|
|
acc = _mm256_fmadd_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(sumi), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __AVX__
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xF);
|
|
const __m128i m2 = _mm_set1_epi8(3);
|
|
const __m128i m32s = _mm_set1_epi8(32);
|
|
|
|
__m256 acc = _mm256_setzero_ps();
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const __m64 scales_1 = _mm_set1_pi8(x[i].scales[0]);
|
|
const __m64 scales_2 = _mm_set1_pi8(x[i].scales[1]);
|
|
const __m64 scales_3 = _mm_set1_pi8(x[i].scales[2]);
|
|
const __m64 scales_4 = _mm_set1_pi8(x[i].scales[3]);
|
|
|
|
__m128i sumi_0 = _mm_setzero_si128();
|
|
__m128i sumi_1 = _mm_setzero_si128();
|
|
|
|
const __m128i scale_0 = _mm_set_epi64(scales_2, scales_1);
|
|
const __m128i scale_1 = _mm_set_epi64(scales_4, scales_3);
|
|
|
|
const __m256i q4bits1 = _mm256_loadu_si256((const __m256i*)q4);
|
|
const __m128i q4bitsH = _mm_loadu_si128((const __m128i*)qh);
|
|
|
|
const __m128i q4h_0 = _mm_slli_epi16(_mm_and_si128(q4bitsH, m2), 4);
|
|
const __m128i q4h_1 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 2), m2), 4);
|
|
const __m128i q4h_2 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 4), m2), 4);
|
|
const __m128i q4h_3 = _mm_slli_epi16(_mm_and_si128(_mm_srli_epi16(q4bitsH, 6), m2), 4);
|
|
|
|
const __m128i q4_0 = _mm_or_si128(_mm_and_si128(_mm256_extractf128_si256(q4bits1, 0), m4), q4h_0);
|
|
const __m128i q4_1 = _mm_or_si128(_mm_and_si128(_mm256_extractf128_si256(q4bits1, 1), m4), q4h_1);
|
|
const __m128i q4_2 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q4bits1, 0), 4), m4), q4h_2);
|
|
const __m128i q4_3 = _mm_or_si128(_mm_and_si128(_mm_srli_epi16(_mm256_extractf128_si256(q4bits1, 1), 4), m4), q4h_3);
|
|
|
|
const __m256i q8_0 = _mm256_loadu_si256((const __m256i*)(q8+ 0));
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i*)(q8+32));
|
|
|
|
__m128i q8s_0 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_0, 0));
|
|
__m128i q8s_1 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_0, 1));
|
|
__m128i q8s_2 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_1, 0));
|
|
__m128i q8s_3 = _mm_maddubs_epi16(m32s, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
__m128i p16_0 = _mm_maddubs_epi16(q4_0, _mm256_extractf128_si256(q8_0, 0));
|
|
__m128i p16_1 = _mm_maddubs_epi16(q4_1, _mm256_extractf128_si256(q8_0, 1));
|
|
__m128i p16_2 = _mm_maddubs_epi16(q4_2, _mm256_extractf128_si256(q8_1, 0));
|
|
__m128i p16_3 = _mm_maddubs_epi16(q4_3, _mm256_extractf128_si256(q8_1, 1));
|
|
|
|
p16_0 = _mm_sub_epi16(p16_0, q8s_0);
|
|
p16_1 = _mm_sub_epi16(p16_1, q8s_1);
|
|
p16_2 = _mm_sub_epi16(p16_2, q8s_2);
|
|
p16_3 = _mm_sub_epi16(p16_3, q8s_3);
|
|
|
|
p16_0 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_0), p16_0);
|
|
p16_1 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_0, scale_0)), p16_1);
|
|
p16_2 = _mm_madd_epi16(_mm_cvtepi8_epi16(scale_1), p16_2);
|
|
p16_3 = _mm_madd_epi16(_mm_cvtepi8_epi16(_mm_unpackhi_epi64(scale_1, scale_1)), p16_3);
|
|
|
|
sumi_0 = _mm_add_epi32(sumi_0, _mm_add_epi32(p16_0, p16_2));
|
|
sumi_1 = _mm_add_epi32(sumi_1, _mm_add_epi32(p16_1, p16_3));
|
|
|
|
acc = _mm256_add_ps(_mm256_mul_ps(_mm256_broadcast_ss(&d), _mm256_cvtepi32_ps(MM256_SET_M128I(sumi_1, sumi_0))), acc);
|
|
}
|
|
|
|
*s = hsum_float_8(acc);
|
|
|
|
#elif defined __riscv_v_intrinsic
|
|
|
|
float sumf = 0;
|
|
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d_all = GGML_FP16_TO_FP32(x[i].d);
|
|
|
|
const uint8_t * restrict q6 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
const int8_t * restrict scale = x[i].scales;
|
|
|
|
int32_t isum = 0;
|
|
|
|
size_t vl = 16;
|
|
|
|
vint32m1_t vzero = __riscv_vmv_v_x_i32m1(0, 1);
|
|
|
|
// load Q6
|
|
vuint8mf2_t q6_0 = __riscv_vle8_v_u8mf2(q6, vl);
|
|
vuint8mf2_t q6_1 = __riscv_vle8_v_u8mf2(q6+16, vl);
|
|
|
|
// load qh
|
|
vuint8mf2_t qh_x = __riscv_vle8_v_u8mf2(qh, vl);
|
|
|
|
vuint8mf2_t qh0 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
|
|
qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
|
|
vuint8mf2_t qh1 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
|
|
qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
|
|
vuint8mf2_t qh2 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
|
|
qh_x = __riscv_vsrl_vx_u8mf2(qh_x, 0x2, vl);
|
|
vuint8mf2_t qh3 = __riscv_vsll_vx_u8mf2(__riscv_vand_vx_u8mf2(qh_x, 0x3, vl), 0x4, vl);
|
|
|
|
vuint8mf2_t q6h_0 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q6_0, 0xF, vl), qh0, vl);
|
|
vuint8mf2_t q6h_1 = __riscv_vor_vv_u8mf2(__riscv_vand_vx_u8mf2(q6_1, 0xF, vl), qh1, vl);
|
|
vuint8mf2_t q6h_2 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q6_0, 0x4, vl), qh2, vl);
|
|
vuint8mf2_t q6h_3 = __riscv_vor_vv_u8mf2(__riscv_vsrl_vx_u8mf2(q6_1, 0x4, vl), qh3, vl);
|
|
|
|
vint8mf2_t q6v_0 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_0), 32, vl);
|
|
vint8mf2_t q6v_1 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_1), 32, vl);
|
|
vint8mf2_t q6v_2 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_2), 32, vl);
|
|
vint8mf2_t q6v_3 = __riscv_vsub_vx_i8mf2(__riscv_vreinterpret_v_u8mf2_i8mf2(q6h_3), 32, vl);
|
|
|
|
// load Q8 and take product
|
|
vint16m1_t p0 = __riscv_vwmul_vv_i16m1(q6v_0, __riscv_vle8_v_i8mf2(q8, vl), vl);
|
|
vint16m1_t p1 = __riscv_vwmul_vv_i16m1(q6v_1, __riscv_vle8_v_i8mf2(q8+16, vl), vl);
|
|
vint16m1_t p2 = __riscv_vwmul_vv_i16m1(q6v_2, __riscv_vle8_v_i8mf2(q8+32, vl), vl);
|
|
vint16m1_t p3 = __riscv_vwmul_vv_i16m1(q6v_3, __riscv_vle8_v_i8mf2(q8+48, vl), vl);
|
|
|
|
vint32m1_t vs_0 = __riscv_vwredsum_vs_i16m1_i32m1(p0, vzero, vl);
|
|
vint32m1_t vs_1 = __riscv_vwredsum_vs_i16m1_i32m1(p1, vzero, vl);
|
|
vint32m1_t vs_2 = __riscv_vwredsum_vs_i16m1_i32m1(p2, vzero, vl);
|
|
vint32m1_t vs_3 = __riscv_vwredsum_vs_i16m1_i32m1(p3, vzero, vl);
|
|
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_0) * scale[0];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_1) * scale[1];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_2) * scale[2];
|
|
isum += __riscv_vmv_x_s_i32m1_i32(vs_3) * scale[3];
|
|
|
|
sumf += isum * d_all * y[i].d;
|
|
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#else
|
|
|
|
int8_t aux8[QK_K];
|
|
int16_t aux16[8];
|
|
float sums [8];
|
|
int32_t aux32[8];
|
|
memset(sums, 0, 8*sizeof(float));
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const uint8_t * restrict q4 = x[i].ql;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
memset(aux32, 0, 8*sizeof(int32_t));
|
|
int8_t * restrict a = aux8;
|
|
for (int l = 0; l < 16; ++l) {
|
|
a[l+ 0] = (int8_t)((q4[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32;
|
|
a[l+16] = (int8_t)((q4[l+16] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32;
|
|
a[l+32] = (int8_t)((q4[l+ 0] >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32;
|
|
a[l+48] = (int8_t)((q4[l+16] >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32;
|
|
}
|
|
int is = 0;
|
|
for (int j = 0; j < QK_K/16; ++j) {
|
|
int scale = x[i].scales[is++];
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
for (int l = 0; l < 8; ++l) aux16[l] = q8[l] * a[l];
|
|
for (int l = 0; l < 8; ++l) aux32[l] += scale * aux16[l];
|
|
q8 += 8; a += 8;
|
|
}
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
for (int l = 0; l < 8; ++l) sums[l] += d * aux32[l];
|
|
}
|
|
for (int l = 0; l < 8; ++l) sumf += sums[l];
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
#endif
|
|
|
|
#if defined (__AVX2__) || defined (__ARM_NEON)
|
|
static const int8_t keven_signs_q2xs[1024] = {
|
|
1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, 1,
|
|
1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, -1,
|
|
1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, -1,
|
|
1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, 1,
|
|
1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, -1,
|
|
1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1,
|
|
1, 1, 1, -1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, 1,
|
|
1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, 1, 1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, -1,
|
|
1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, 1, -1, 1, 1, -1, -1, 1, 1, 1, -1, 1, -1,
|
|
1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, 1,
|
|
1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, 1,
|
|
1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, -1,
|
|
1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, 1,
|
|
1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, -1,
|
|
1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1,
|
|
1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, 1,
|
|
1, 1, 1, 1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1, 1, 1, 1, -1, -1,
|
|
1, 1, -1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1,
|
|
1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, 1,
|
|
1, 1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1,
|
|
1, 1, 1, 1, -1, 1, -1, 1, -1, 1, 1, 1, -1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, 1,
|
|
1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, 1, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, -1,
|
|
1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1,
|
|
1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1,
|
|
1, 1, 1, 1, 1, -1, -1, 1, -1, 1, 1, 1, 1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, 1,
|
|
1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, 1, 1, -1, -1, -1,
|
|
1, 1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, 1, -1, -1, 1, 1, -1, 1, -1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, -1,
|
|
1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1,
|
|
1, 1, 1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, -1, -1,
|
|
1, 1, -1, 1, -1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, 1,
|
|
1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1,
|
|
1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1,
|
|
};
|
|
#endif
|
|
|
|
void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq2_xxs * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
|
|
|
|
uint32_t aux32[4];
|
|
const uint8_t * aux8 = (const uint8_t *)aux32;
|
|
|
|
ggml_int8x16x4_t q2u;
|
|
ggml_int8x16x4_t q2s;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
float sumf1 = 0, sumf2 = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
memcpy(aux32, q2, 4*sizeof(uint32_t)); q2 += 8;
|
|
q2u.val[0] = vcombine_s8(vld1_s8((const void *)(iq2xxs_grid + aux8[ 0])), vld1_s8((const void *)(iq2xxs_grid + aux8[ 1])));
|
|
q2u.val[1] = vcombine_s8(vld1_s8((const void *)(iq2xxs_grid + aux8[ 2])), vld1_s8((const void *)(iq2xxs_grid + aux8[ 3])));
|
|
q2u.val[2] = vcombine_s8(vld1_s8((const void *)(iq2xxs_grid + aux8[ 8])), vld1_s8((const void *)(iq2xxs_grid + aux8[ 9])));
|
|
q2u.val[3] = vcombine_s8(vld1_s8((const void *)(iq2xxs_grid + aux8[10])), vld1_s8((const void *)(iq2xxs_grid + aux8[11])));
|
|
q2s.val[0] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[1] >> 0) & 127))), vld1_s8((const void *)(signs64 + ((aux32[1] >> 7) & 127))));
|
|
q2s.val[1] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[1] >> 14) & 127))), vld1_s8((const void *)(signs64 + ((aux32[1] >> 21) & 127))));
|
|
q2s.val[2] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[3] >> 0) & 127))), vld1_s8((const void *)(signs64 + ((aux32[3] >> 7) & 127))));
|
|
q2s.val[3] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[3] >> 14) & 127))), vld1_s8((const void *)(signs64 + ((aux32[3] >> 21) & 127))));
|
|
q2u.val[0] = vmulq_s8(q2u.val[0], q2s.val[0]);
|
|
q2u.val[1] = vmulq_s8(q2u.val[1], q2s.val[1]);
|
|
q2u.val[2] = vmulq_s8(q2u.val[2], q2s.val[2]);
|
|
q2u.val[3] = vmulq_s8(q2u.val[3], q2s.val[3]);
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[0], q8b.val[0]), q2u.val[1], q8b.val[1]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[2], q8b.val[2]), q2u.val[3], q8b.val[3]);
|
|
sumf1 += vaddvq_s32(p1) * (0.5f + (aux32[1] >> 28));
|
|
sumf2 += vaddvq_s32(p2) * (0.5f + (aux32[3] >> 28));
|
|
}
|
|
sumf += d*(sumf1 + sumf2);
|
|
}
|
|
*s = 0.25f * sumf;
|
|
|
|
#elif defined(__AVX2__)
|
|
|
|
const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
|
|
|
|
uint32_t aux32[4];
|
|
const uint8_t * aux8 = (const uint8_t *)aux32;
|
|
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
memcpy(aux32, q2, 4*sizeof(uint32_t)); q2 += 8;
|
|
const __m256i q2_1 = _mm256_set_epi64x(iq2xxs_grid[aux8[ 3]], iq2xxs_grid[aux8[ 2]], iq2xxs_grid[aux8[1]], iq2xxs_grid[aux8[0]]);
|
|
const __m256i q2_2 = _mm256_set_epi64x(iq2xxs_grid[aux8[11]], iq2xxs_grid[aux8[10]], iq2xxs_grid[aux8[9]], iq2xxs_grid[aux8[8]]);
|
|
const __m256i s2_1 = _mm256_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127],
|
|
signs64[(aux32[1] >> 7) & 127], signs64[(aux32[1] >> 0) & 127]);
|
|
const __m256i s2_2 = _mm256_set_epi64x(signs64[(aux32[3] >> 21) & 127], signs64[(aux32[3] >> 14) & 127],
|
|
signs64[(aux32[3] >> 7) & 127], signs64[(aux32[3] >> 0) & 127]);
|
|
const __m256i q8s_1 = _mm256_sign_epi8(q8_1, s2_1);
|
|
const __m256i q8s_2 = _mm256_sign_epi8(q8_2, s2_2);
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1);
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2);
|
|
const uint16_t ls1 = aux32[1] >> 28;
|
|
const uint16_t ls2 = aux32[3] >> 28;
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, _mm256_set1_epi16(2*ls1+1));
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, _mm256_set1_epi16(2*ls2+1));
|
|
sumi1 = _mm256_add_epi32(sumi1, p1);
|
|
sumi2 = _mm256_add_epi32(sumi2, p2);
|
|
}
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accumf);
|
|
|
|
}
|
|
|
|
*s = 0.125f * hsum_float_8(accumf);
|
|
|
|
#else
|
|
|
|
uint32_t aux32[2];
|
|
const uint8_t * aux8 = (const uint8_t *)aux32;
|
|
|
|
float sumf = 0.f;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int32_t bsum = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
memcpy(aux32, q2, 2*sizeof(uint32_t));
|
|
q2 += 4;
|
|
const uint32_t ls = 2*(aux32[1] >> 28) + 1;
|
|
int32_t sumi = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]);
|
|
const uint8_t signs = ksigns_iq2xs[(aux32[1] >> 7*l) & 127];
|
|
for (int j = 0; j < 8; ++j) {
|
|
sumi += grid[j] * q8[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
bsum += sumi * ls;
|
|
}
|
|
sumf += d * bsum;
|
|
}
|
|
*s = 0.125f * sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq2_xs * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
|
|
|
|
ggml_int8x16x4_t q2u;
|
|
ggml_int8x16x4_t q2s;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
int32x4x4_t scales32;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
const uint8x8_t scales8 = vld1_u8(x[i].scales);
|
|
const uint8x8_t scales_l = vand_u8(scales8, vdup_n_u8(0xf));
|
|
const uint8x8_t scales_h = vshr_n_u8(scales8, 4);
|
|
uint8x16_t scales = vcombine_u8(vzip1_u8(scales_l, scales_h), vzip2_u8(scales_l, scales_h));
|
|
scales = vaddq_u8(vshlq_n_u8(scales, 1), vdupq_n_u8(1));
|
|
const uint16x8_t scales1 = vmovl_u8(vget_low_u8(scales));
|
|
const uint16x8_t scales2 = vmovl_u8(vget_high_u8(scales));
|
|
scales32.val[0] = vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(scales1)));
|
|
scales32.val[1] = vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(scales1)));
|
|
scales32.val[2] = vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(scales2)));
|
|
scales32.val[3] = vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(scales2)));
|
|
int32x4_t sumi = vdupq_n_s32(0);
|
|
for (int ib64 = 0; ib64 < QK_K/64; ++ib64) {
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
q2u.val[0] = vcombine_s8(vld1_s8((const void *)(iq2xs_grid + (q2[0] & 511))), vld1_s8((const void *)(iq2xs_grid + (q2[1] & 511))));
|
|
q2u.val[1] = vcombine_s8(vld1_s8((const void *)(iq2xs_grid + (q2[2] & 511))), vld1_s8((const void *)(iq2xs_grid + (q2[3] & 511))));
|
|
q2u.val[2] = vcombine_s8(vld1_s8((const void *)(iq2xs_grid + (q2[4] & 511))), vld1_s8((const void *)(iq2xs_grid + (q2[5] & 511))));
|
|
q2u.val[3] = vcombine_s8(vld1_s8((const void *)(iq2xs_grid + (q2[6] & 511))), vld1_s8((const void *)(iq2xs_grid + (q2[7] & 511))));
|
|
q2s.val[0] = vcombine_s8(vld1_s8((const void *)(signs64 + (q2[0] >> 9))), vld1_s8((const void *)(signs64 + (q2[1] >> 9))));
|
|
q2s.val[1] = vcombine_s8(vld1_s8((const void *)(signs64 + (q2[2] >> 9))), vld1_s8((const void *)(signs64 + (q2[3] >> 9))));
|
|
q2s.val[2] = vcombine_s8(vld1_s8((const void *)(signs64 + (q2[4] >> 9))), vld1_s8((const void *)(signs64 + (q2[5] >> 9))));
|
|
q2s.val[3] = vcombine_s8(vld1_s8((const void *)(signs64 + (q2[6] >> 9))), vld1_s8((const void *)(signs64 + (q2[7] >> 9))));
|
|
q2u.val[0] = vmulq_s8(q2u.val[0], q2s.val[0]);
|
|
q2u.val[1] = vmulq_s8(q2u.val[1], q2s.val[1]);
|
|
q2u.val[2] = vmulq_s8(q2u.val[2], q2s.val[2]);
|
|
q2u.val[3] = vmulq_s8(q2u.val[3], q2s.val[3]);
|
|
const int32x4_t p1 = ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[0], q8b.val[0]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[1], q8b.val[1]);
|
|
const int32x4_t p3 = ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[2], q8b.val[2]);
|
|
const int32x4_t p4 = ggml_vdotq_s32(vdupq_n_s32(0), q2u.val[3], q8b.val[3]);
|
|
const int32x4_t p = vpaddq_s32(vpaddq_s32(p1, p2), vpaddq_s32(p3, p4));
|
|
sumi = vmlaq_s32(sumi, p, scales32.val[ib64]);
|
|
q2 += 8;
|
|
}
|
|
sumf += d*vaddvq_s32(sumi);
|
|
}
|
|
*s = 0.125f * sumf;
|
|
|
|
#elif defined(__AVX2__)
|
|
|
|
const __m256i mone = _mm256_set1_epi8(1);
|
|
static const char block_sign_shuffle_mask_1[32] = {
|
|
0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02,
|
|
0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06,
|
|
};
|
|
static const char block_sign_shuffle_mask_2[32] = {
|
|
0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a,
|
|
0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e,
|
|
};
|
|
static const uint8_t bit_selector_mask_bytes[32] = {
|
|
0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
};
|
|
|
|
const __m256i bit_selector_mask = _mm256_loadu_si256((const __m256i*)bit_selector_mask_bytes);
|
|
const __m256i block_sign_shuffle_1 = _mm256_loadu_si256((const __m256i*)block_sign_shuffle_mask_1);
|
|
const __m256i block_sign_shuffle_2 = _mm256_loadu_si256((const __m256i*)block_sign_shuffle_mask_2);
|
|
|
|
#if QK_K == 64
|
|
static const uint8_t k_bit_helper[16] = {
|
|
0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
|
|
};
|
|
const __m128i bit_helper = _mm_loadu_si128((const __m128i*)k_bit_helper);
|
|
const __m128i m511 = _mm_set1_epi16(511);
|
|
typedef union {
|
|
__m128i vec_index;
|
|
uint16_t index[8];
|
|
} index_t;
|
|
|
|
index_t idx;
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const __m128i q2_data = _mm_loadu_si128((const __m128i*)x[i].qs);
|
|
idx.vec_index = _mm_and_si128(q2_data, m511);
|
|
|
|
const __m128i partial_sign_bits = _mm_srli_epi16(q2_data, 9);
|
|
const __m128i partial_sign_bits_upper = _mm_srli_epi16(q2_data, 13);
|
|
const __m128i partial_sign_bits_for_counting = _mm_xor_si128(partial_sign_bits, partial_sign_bits_upper);
|
|
|
|
const __m128i odd_bits = _mm_shuffle_epi8(bit_helper, partial_sign_bits_for_counting);
|
|
const __m128i full_sign_bits = _mm_or_si128(partial_sign_bits, odd_bits);
|
|
const __m256i full_signs = MM256_SET_M128I(full_sign_bits, full_sign_bits);
|
|
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)y[i].qs);
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)(y[i].qs+32));
|
|
|
|
const __m256i q2_1 = _mm256_set_epi64x(iq2xs_grid[idx.index[3]], iq2xs_grid[idx.index[2]],
|
|
iq2xs_grid[idx.index[1]], iq2xs_grid[idx.index[0]]);
|
|
const __m256i q2_2 = _mm256_set_epi64x(iq2xs_grid[idx.index[7]], iq2xs_grid[idx.index[6]],
|
|
iq2xs_grid[idx.index[5]], iq2xs_grid[idx.index[4]]);
|
|
|
|
__m256i signs;
|
|
signs = _mm256_shuffle_epi8(full_signs, block_sign_shuffle_1);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_1 = _mm256_sign_epi8(q8_1, _mm256_or_si256(signs, mone));
|
|
|
|
signs = _mm256_shuffle_epi8(full_signs, block_sign_shuffle_2);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_2 = _mm256_sign_epi8(q8_2, _mm256_or_si256(signs, mone));
|
|
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1);
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2);
|
|
|
|
const __m256i sc1 = MM256_SET_M128I(_mm_set1_epi16(2*(x[i].scales[0] >> 4)+1), _mm_set1_epi16(2*(x[i].scales[0] & 0xf)+1));
|
|
const __m256i sc2 = MM256_SET_M128I(_mm_set1_epi16(2*(x[i].scales[1] >> 4)+1), _mm_set1_epi16(2*(x[i].scales[1] & 0xf)+1));
|
|
|
|
const __m256i sum = _mm256_add_epi32(_mm256_madd_epi16(sc1, dot1), _mm256_madd_epi16(sc2, dot2));
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(sum), accumf);
|
|
|
|
}
|
|
|
|
*s = 0.125f * hsum_float_8(accumf);
|
|
#else
|
|
|
|
static const uint8_t k_bit_helper[32] = {
|
|
0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
|
|
0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
|
|
};
|
|
const __m256i bit_helper = _mm256_loadu_si256((const __m256i*)k_bit_helper);
|
|
const __m256i m511 = _mm256_set1_epi16(511);
|
|
const __m128i m4 = _mm_set1_epi8(0xf);
|
|
const __m128i m1 = _mm_set1_epi8(1);
|
|
|
|
uint64_t aux64;
|
|
|
|
// somewhat hacky, but gives a significant boost in performance
|
|
__m256i aux_gindex;
|
|
const uint16_t * gindex = (const uint16_t *)&aux_gindex;
|
|
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
memcpy(&aux64, x[i].scales, 8);
|
|
__m128i stmp = _mm_set1_epi64x(aux64);
|
|
stmp = _mm_unpacklo_epi8(_mm_and_si128(stmp, m4), _mm_and_si128(_mm_srli_epi16(stmp, 4), m4));
|
|
const __m128i scales = _mm_add_epi8(_mm_slli_epi16(stmp, 1), m1);
|
|
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 4) {
|
|
|
|
const __m256i q2_data = _mm256_loadu_si256((const __m256i*)q2); q2 += 16;
|
|
aux_gindex = _mm256_and_si256(q2_data, m511);
|
|
|
|
const __m256i partial_sign_bits = _mm256_srli_epi16(q2_data, 9);
|
|
const __m256i partial_sign_bits_upper = _mm256_srli_epi16(q2_data, 13);
|
|
const __m256i partial_sign_bits_for_counting = _mm256_xor_si256(partial_sign_bits, partial_sign_bits_upper);
|
|
|
|
const __m256i odd_bits = _mm256_shuffle_epi8(bit_helper, partial_sign_bits_for_counting);
|
|
const __m256i full_sign_bits = _mm256_or_si256(partial_sign_bits, odd_bits);
|
|
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_3 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_4 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
|
|
const __m256i q2_1 = _mm256_set_epi64x(iq2xs_grid[gindex[ 3]], iq2xs_grid[gindex[ 2]],
|
|
iq2xs_grid[gindex[ 1]], iq2xs_grid[gindex[ 0]]);
|
|
const __m256i q2_2 = _mm256_set_epi64x(iq2xs_grid[gindex[ 7]], iq2xs_grid[gindex[ 6]],
|
|
iq2xs_grid[gindex[ 5]], iq2xs_grid[gindex[ 4]]);
|
|
const __m256i q2_3 = _mm256_set_epi64x(iq2xs_grid[gindex[11]], iq2xs_grid[gindex[10]],
|
|
iq2xs_grid[gindex[ 9]], iq2xs_grid[gindex[ 8]]);
|
|
const __m256i q2_4 = _mm256_set_epi64x(iq2xs_grid[gindex[15]], iq2xs_grid[gindex[14]],
|
|
iq2xs_grid[gindex[13]], iq2xs_grid[gindex[12]]);
|
|
|
|
const __m128i full_signs_l = _mm256_castsi256_si128(full_sign_bits);
|
|
const __m128i full_signs_h = _mm256_extractf128_si256(full_sign_bits, 1);
|
|
const __m256i full_signs_1 = MM256_SET_M128I(full_signs_l, full_signs_l);
|
|
const __m256i full_signs_2 = MM256_SET_M128I(full_signs_h, full_signs_h);
|
|
|
|
__m256i signs;
|
|
signs = _mm256_shuffle_epi8(full_signs_1, block_sign_shuffle_1);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_1 = _mm256_sign_epi8(q8_1, _mm256_or_si256(signs, mone));
|
|
|
|
signs = _mm256_shuffle_epi8(full_signs_1, block_sign_shuffle_2);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_2 = _mm256_sign_epi8(q8_2, _mm256_or_si256(signs, mone));
|
|
|
|
signs = _mm256_shuffle_epi8(full_signs_2, block_sign_shuffle_1);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_3 = _mm256_sign_epi8(q8_3, _mm256_or_si256(signs, mone));
|
|
|
|
signs = _mm256_shuffle_epi8(full_signs_2, block_sign_shuffle_2);
|
|
signs = _mm256_cmpeq_epi8(_mm256_and_si256(signs, bit_selector_mask), bit_selector_mask);
|
|
const __m256i q8s_4 = _mm256_sign_epi8(q8_4, _mm256_or_si256(signs, mone));
|
|
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1);
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2);
|
|
const __m256i dot3 = _mm256_maddubs_epi16(q2_3, q8s_3);
|
|
const __m256i dot4 = _mm256_maddubs_epi16(q2_4, q8s_4);
|
|
|
|
const __m256i sc1 = _mm256_cvtepi8_epi16(_mm_shuffle_epi8(scales, get_scale_shuffle(ib32+0)));
|
|
const __m256i sc2 = _mm256_cvtepi8_epi16(_mm_shuffle_epi8(scales, get_scale_shuffle(ib32+1)));
|
|
const __m256i sc3 = _mm256_cvtepi8_epi16(_mm_shuffle_epi8(scales, get_scale_shuffle(ib32+2)));
|
|
const __m256i sc4 = _mm256_cvtepi8_epi16(_mm_shuffle_epi8(scales, get_scale_shuffle(ib32+3)));
|
|
|
|
sumi1 = _mm256_add_epi32(sumi1, _mm256_madd_epi16(dot1, sc1));
|
|
sumi2 = _mm256_add_epi32(sumi2, _mm256_madd_epi16(dot2, sc2));
|
|
sumi1 = _mm256_add_epi32(sumi1, _mm256_madd_epi16(dot3, sc3));
|
|
sumi2 = _mm256_add_epi32(sumi2, _mm256_madd_epi16(dot4, sc4));
|
|
}
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accumf);
|
|
|
|
}
|
|
|
|
*s = 0.125f * hsum_float_8(accumf);
|
|
#endif
|
|
|
|
#else
|
|
|
|
float sumf = 0.f;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint16_t * restrict q2 = x[i].qs;
|
|
const uint8_t * restrict sc = x[i].scales;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int32_t bsum = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
const uint16_t ls1 = 2*(sc[ib32] & 0xf) + 1;
|
|
const uint16_t ls2 = 2*(sc[ib32] >> 4) + 1;
|
|
int32_t sumi = 0;
|
|
for (int l = 0; l < 2; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[l] & 511));
|
|
const uint8_t signs = ksigns_iq2xs[q2[l] >> 9];
|
|
for (int j = 0; j < 8; ++j) {
|
|
sumi += grid[j] * q8[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
bsum += sumi * ls1;
|
|
sumi = 0;
|
|
for (int l = 2; l < 4; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2xs_grid + (q2[l] & 511));
|
|
const uint8_t signs = ksigns_iq2xs[q2[l] >> 9];
|
|
for (int j = 0; j < 8; ++j) {
|
|
sumi += grid[j] * q8[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
bsum += sumi * ls2;
|
|
q2 += 4;
|
|
}
|
|
sumf += d * bsum;
|
|
}
|
|
*s = 0.125f * sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq2_s * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
|
|
0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
|
|
};
|
|
|
|
static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
|
|
|
|
const ggml_uint8x16x2_t mask1 = ggml_vld1q_u8_x2(k_mask1);
|
|
const uint8x16_t mask2 = vld1q_u8(k_mask2);
|
|
const uint8x16_t m1 = vdupq_n_u8(1);
|
|
const int32x4_t vzero = vdupq_n_s32(0);
|
|
|
|
uint8x16x2_t vs;
|
|
ggml_int8x16x4_t q2s;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
|
|
const uint8_t * restrict qs = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8);
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
q2s.val[0] = vcombine_s8(vld1_s8((const int8_t *)(iq2s_grid + (qs[0] | ((qh[ib32+0] << 8) & 0x300)))),
|
|
vld1_s8((const int8_t *)(iq2s_grid + (qs[1] | ((qh[ib32+0] << 6) & 0x300)))));
|
|
q2s.val[1] = vcombine_s8(vld1_s8((const int8_t *)(iq2s_grid + (qs[2] | ((qh[ib32+0] << 4) & 0x300)))),
|
|
vld1_s8((const int8_t *)(iq2s_grid + (qs[3] | ((qh[ib32+0] << 2) & 0x300)))));
|
|
q2s.val[2] = vcombine_s8(vld1_s8((const int8_t *)(iq2s_grid + (qs[4] | ((qh[ib32+1] << 8) & 0x300)))),
|
|
vld1_s8((const int8_t *)(iq2s_grid + (qs[5] | ((qh[ib32+1] << 6) & 0x300)))));
|
|
q2s.val[3] = vcombine_s8(vld1_s8((const int8_t *)(iq2s_grid + (qs[6] | ((qh[ib32+1] << 4) & 0x300)))),
|
|
vld1_s8((const int8_t *)(iq2s_grid + (qs[7] | ((qh[ib32+1] << 2) & 0x300)))));
|
|
qs += 8;
|
|
|
|
vs.val[0] = vreinterpretq_u8_u32(vdupq_n_u32(signs[0] | ((uint32_t) signs[1] << 16)));
|
|
vs.val[1] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[1]), mask2);
|
|
vs.val[0] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[0]), mask2);
|
|
vs.val[0] = vceqq_u8(vs.val[0], mask2);
|
|
vs.val[1] = vceqq_u8(vs.val[1], mask2);
|
|
|
|
q2s.val[0] = vmulq_s8(vreinterpretq_s8_u8(vorrq_u8(vs.val[0], m1)), q2s.val[0]);
|
|
q2s.val[1] = vmulq_s8(vreinterpretq_s8_u8(vorrq_u8(vs.val[1], m1)), q2s.val[1]);
|
|
|
|
vs.val[0] = vreinterpretq_u8_u32(vdupq_n_u32(signs[2] | ((uint32_t) signs[3] << 16)));
|
|
vs.val[1] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[1]), mask2);
|
|
vs.val[0] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[0]), mask2);
|
|
vs.val[0] = vceqq_u8(vs.val[0], mask2);
|
|
vs.val[1] = vceqq_u8(vs.val[1], mask2);
|
|
|
|
signs += 4;
|
|
|
|
q2s.val[2] = vmulq_s8(vreinterpretq_s8_u8(vorrq_u8(vs.val[0], m1)), q2s.val[2]);
|
|
q2s.val[3] = vmulq_s8(vreinterpretq_s8_u8(vorrq_u8(vs.val[1], m1)), q2s.val[3]);
|
|
|
|
const int32x4_t p1 = ggml_vdotq_s32(vzero, q2s.val[0], q8b.val[0]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(vzero, q2s.val[1], q8b.val[1]);
|
|
const int32x4_t p3 = ggml_vdotq_s32(vzero, q2s.val[2], q8b.val[2]);
|
|
const int32x4_t p4 = ggml_vdotq_s32(vzero, q2s.val[3], q8b.val[3]);
|
|
|
|
sumi1 += vaddvq_s32(p1) * (1 + 2*(x[i].scales[ib32+0] & 0xf));
|
|
sumi2 += vaddvq_s32(p2) * (1 + 2*(x[i].scales[ib32+0] >> 4));
|
|
sumi1 += vaddvq_s32(p3) * (1 + 2*(x[i].scales[ib32+1] & 0xf));
|
|
sumi2 += vaddvq_s32(p4) * (1 + 2*(x[i].scales[ib32+1] >> 4));
|
|
}
|
|
sumf += d*(sumi1 + sumi2);
|
|
}
|
|
|
|
*s = 0.125f * sumf;
|
|
|
|
#elif defined(__AVX2__)
|
|
|
|
static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
|
|
0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
|
|
};
|
|
|
|
static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
};
|
|
|
|
const __m128i m4 = _mm_set1_epi8(0xf);
|
|
const __m128i m1 = _mm_set1_epi8(1);
|
|
|
|
const __m256i mask1 = _mm256_loadu_si256((const __m256i*)k_mask1);
|
|
const __m256i mask2 = _mm256_loadu_si256((const __m256i*)k_mask2);
|
|
|
|
uint64_t aux64;
|
|
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict qs = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8);
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
memcpy(&aux64, x[i].scales, 8);
|
|
const __m128i scales8 = _mm_add_epi8(_mm_slli_epi16(_mm_and_si128(_mm_set_epi64x(aux64 >> 4, aux64), m4), 1), m1);
|
|
const __m256i scales16 = _mm256_cvtepi8_epi16(scales8); // 0 2 4 6 8 10 12 14 1 3 5 7 9 11 13 15
|
|
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q2_1 = _mm256_set_epi64x(iq2s_grid[qs[3] | ((qh[ib32+0] << 2) & 0x300)],
|
|
iq2s_grid[qs[2] | ((qh[ib32+0] << 4) & 0x300)],
|
|
iq2s_grid[qs[1] | ((qh[ib32+0] << 6) & 0x300)],
|
|
iq2s_grid[qs[0] | ((qh[ib32+0] << 8) & 0x300)]);
|
|
const __m256i q2_2 = _mm256_set_epi64x(iq2s_grid[qs[7] | ((qh[ib32+1] << 2) & 0x300)],
|
|
iq2s_grid[qs[6] | ((qh[ib32+1] << 4) & 0x300)],
|
|
iq2s_grid[qs[5] | ((qh[ib32+1] << 6) & 0x300)],
|
|
iq2s_grid[qs[4] | ((qh[ib32+1] << 8) & 0x300)]);
|
|
qs += 8;
|
|
|
|
__m256i aux256 = _mm256_set1_epi32(signs[0] | ((uint32_t) signs[1] << 16));
|
|
aux256 = _mm256_and_si256(_mm256_shuffle_epi8(aux256,mask1), mask2);
|
|
const __m256i s2_1 = _mm256_cmpeq_epi8(aux256, mask2);
|
|
const __m256i q8s_1 = _mm256_sub_epi8(_mm256_xor_si256(s2_1, q8_1), s2_1);
|
|
|
|
aux256 = _mm256_set1_epi32(signs[2] | ((uint32_t) signs[3] << 16));
|
|
aux256 = _mm256_and_si256(_mm256_shuffle_epi8(aux256,mask1), mask2);
|
|
const __m256i s2_2 = _mm256_cmpeq_epi8(aux256, mask2);
|
|
const __m256i q8s_2 = _mm256_sub_epi8(_mm256_xor_si256(s2_2, q8_2), s2_2);
|
|
|
|
signs += 4;
|
|
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1); // blocks 2*ib32+0, 2*ib32+1
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2); // blocks 2*ib32+2, 2*ib32+3
|
|
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, _mm256_shuffle_epi8(scales16, get_scale_shuffle_k4(ib32+0)));
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, _mm256_shuffle_epi8(scales16, get_scale_shuffle_k4(ib32+1)));
|
|
sumi1 = _mm256_add_epi32(sumi1, p1);
|
|
sumi2 = _mm256_add_epi32(sumi2, p2);
|
|
}
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accumf);
|
|
|
|
}
|
|
|
|
*s = 0.125f * hsum_float_8(accumf);
|
|
|
|
#else
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint8_t * signs = qs + QK_K/8;
|
|
|
|
int bsum = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
int ls1 = 1 + 2*(x[i].scales[ib32] & 0xf);
|
|
int ls2 = 1 + 2*(x[i].scales[ib32] >> 4);
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int l = 0; l < 2; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2s_grid + (qs[l] | (qh[ib32] << (8-2*l) & 0x300)));
|
|
for (int j = 0; j < 8; ++j) {
|
|
sumi1 += q8[j] * grid[j] * (signs[l] & kmask_iq2xs[j] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
for (int l = 2; l < 4; ++l) {
|
|
const uint8_t * grid = (const uint8_t *)(iq2s_grid + (qs[l] | (qh[ib32] << (8-2*l) & 0x300)));
|
|
for (int j = 0; j < 8; ++j) {
|
|
sumi2 += q8[j] * grid[j] * (signs[l] & kmask_iq2xs[j] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
bsum += ls1 * sumi1 + ls2 * sumi2;
|
|
qs += 4;
|
|
signs += 4;
|
|
}
|
|
|
|
sumf += d * bsum;
|
|
}
|
|
|
|
*s = 0.125f * sumf;
|
|
|
|
#endif
|
|
|
|
}
|
|
|
|
void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq3_xxs * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
|
|
|
|
uint32_t aux32[2];
|
|
|
|
ggml_int8x16x4_t q3s;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict gas = x[i].qs + QK_K/4;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
float sumf1 = 0, sumf2 = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
memcpy(aux32, gas, 2*sizeof(uint32_t)); gas += 2*sizeof(uint32_t);
|
|
const uint32x4_t aux32x4_0 = ggml_vld1q_u32(iq3xxs_grid[q3[ 0]], iq3xxs_grid[q3[ 1]], iq3xxs_grid[q3[ 2]], iq3xxs_grid[q3[ 3]]);
|
|
const uint32x4_t aux32x4_1 = ggml_vld1q_u32(iq3xxs_grid[q3[ 4]], iq3xxs_grid[q3[ 5]], iq3xxs_grid[q3[ 6]], iq3xxs_grid[q3[ 7]]);
|
|
const uint32x4_t aux32x4_2 = ggml_vld1q_u32(iq3xxs_grid[q3[ 8]], iq3xxs_grid[q3[ 9]], iq3xxs_grid[q3[10]], iq3xxs_grid[q3[11]]);
|
|
const uint32x4_t aux32x4_3 = ggml_vld1q_u32(iq3xxs_grid[q3[12]], iq3xxs_grid[q3[13]], iq3xxs_grid[q3[14]], iq3xxs_grid[q3[15]]);
|
|
q3 += 16;
|
|
q3s.val[0] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[0] >> 0) & 127))), vld1_s8((const void *)(signs64 + ((aux32[0] >> 7) & 127))));
|
|
q3s.val[1] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[0] >> 14) & 127))), vld1_s8((const void *)(signs64 + ((aux32[0] >> 21) & 127))));
|
|
q3s.val[2] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[1] >> 0) & 127))), vld1_s8((const void *)(signs64 + ((aux32[1] >> 7) & 127))));
|
|
q3s.val[3] = vcombine_s8(vld1_s8((const void *)(signs64 + ((aux32[1] >> 14) & 127))), vld1_s8((const void *)(signs64 + ((aux32[1] >> 21) & 127))));
|
|
q3s.val[0] = vmulq_s8(q3s.val[0], vreinterpretq_s8_u32(aux32x4_0));
|
|
q3s.val[1] = vmulq_s8(q3s.val[1], vreinterpretq_s8_u32(aux32x4_1));
|
|
q3s.val[2] = vmulq_s8(q3s.val[2], vreinterpretq_s8_u32(aux32x4_2));
|
|
q3s.val[3] = vmulq_s8(q3s.val[3], vreinterpretq_s8_u32(aux32x4_3));
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[0], q8b.val[0]), q3s.val[1], q8b.val[1]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[2], q8b.val[2]), q3s.val[3], q8b.val[3]);
|
|
sumf1 += vaddvq_s32(p1) * (0.5f + (aux32[0] >> 28));
|
|
sumf2 += vaddvq_s32(p2) * (0.5f + (aux32[1] >> 28));
|
|
}
|
|
sumf += d*(sumf1 + sumf2);
|
|
}
|
|
*s = 0.5f * sumf;
|
|
|
|
#elif defined(__AVX2__)
|
|
|
|
const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
|
|
|
|
uint32_t aux32[2];
|
|
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict gas = x[i].qs + QK_K/4;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q2_1 = _mm256_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]],
|
|
iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
|
|
q3 += 8;
|
|
const __m256i q2_2 = _mm256_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]],
|
|
iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
|
|
q3 += 8;
|
|
memcpy(aux32, gas, 8); gas += 8;
|
|
const __m256i s2_1 = _mm256_set_epi64x(signs64[(aux32[0] >> 21) & 127], signs64[(aux32[0] >> 14) & 127],
|
|
signs64[(aux32[0] >> 7) & 127], signs64[(aux32[0] >> 0) & 127]);
|
|
const __m256i s2_2 = _mm256_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127],
|
|
signs64[(aux32[1] >> 7) & 127], signs64[(aux32[1] >> 0) & 127]);
|
|
const __m256i q8s_1 = _mm256_sign_epi8(q8_1, s2_1);
|
|
const __m256i q8s_2 = _mm256_sign_epi8(q8_2, s2_2);
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1);
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2);
|
|
const uint16_t ls1 = aux32[0] >> 28;
|
|
const uint16_t ls2 = aux32[1] >> 28;
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, _mm256_set1_epi16(2*ls1+1));
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, _mm256_set1_epi16(2*ls2+1));
|
|
sumi1 = _mm256_add_epi32(sumi1, p1);
|
|
sumi2 = _mm256_add_epi32(sumi2, p2);
|
|
}
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accumf);
|
|
|
|
}
|
|
|
|
*s = 0.25f * hsum_float_8(accumf);
|
|
|
|
#else
|
|
|
|
uint32_t aux32;
|
|
|
|
float sumf = 0.f;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict q3 = x[i].qs;
|
|
const uint8_t * restrict gas = x[i].qs + QK_K/4;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int32_t bsum = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ++ib32) {
|
|
memcpy(&aux32, gas, sizeof(uint32_t)); gas += sizeof(uint32_t);
|
|
const uint32_t ls = 2*(aux32 >> 28) + 1;
|
|
int32_t sumi = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*l+0]);
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*l+1]);
|
|
const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*l) & 127];
|
|
for (int j = 0; j < 4; ++j) {
|
|
sumi += grid1[j] * q8[j+0] * (signs & kmask_iq2xs[j+0] ? -1 : 1);
|
|
sumi += grid2[j] * q8[j+4] * (signs & kmask_iq2xs[j+4] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
q3 += 8;
|
|
bsum += sumi * ls;
|
|
}
|
|
sumf += d * bsum;
|
|
}
|
|
*s = 0.25f * sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq3_s * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined(__ARM_NEON)
|
|
|
|
typedef union {
|
|
uint16x8_t vec_index;
|
|
uint16_t index[8];
|
|
} vec_index_t;
|
|
|
|
static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
|
|
0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
|
|
};
|
|
|
|
static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
|
|
|
|
static const int16_t k_shift[8] = {8, 7, 6, 5, 4, 3, 2, 1};
|
|
|
|
const ggml_uint8x16x2_t mask1 = ggml_vld1q_u8_x2(k_mask1);
|
|
const uint8x16_t mask2 = vld1q_u8(k_mask2);
|
|
|
|
const int16x8_t hshift = vld1q_s16(k_shift);
|
|
const uint16x8_t m256 = vdupq_n_u16(256);
|
|
const uint8x16_t m1 = vdupq_n_u8(1);
|
|
|
|
uint8x16x2_t vs;
|
|
ggml_int8x16x4_t q3s;
|
|
ggml_int8x16x4_t q8b;
|
|
vec_index_t idx;
|
|
|
|
#if QK_K == 256
|
|
uint32_t scales32[2];
|
|
const uint8_t * scales8 = (const uint8_t *)scales32;
|
|
#endif
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict qs = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const uint16_t * restrict signs = (const uint16_t *)x[i].signs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
|
|
#if QK_K == 256
|
|
memcpy(scales32, x[i].scales, 4);
|
|
scales32[1] = (((scales32[0] >> 4) & 0x0f0f0f0f) << 1) | 0x01010101;
|
|
scales32[0] = ((scales32[0] & 0x0f0f0f0f) << 1) | 0x01010101;
|
|
#endif
|
|
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
const uint8x16_t idx_l = vld1q_u8(qs); qs += 16;
|
|
idx.vec_index = vorrq_u16(vmovl_u8(vget_low_u8 (idx_l)), vandq_u16(vshlq_u16(vdupq_n_u16(qh[ib32+0]), hshift), m256));
|
|
const uint32x4_t aux32x4_0 = ggml_vld1q_u32(iq3s_grid[idx.index[0]], iq3s_grid[idx.index[1]],
|
|
iq3s_grid[idx.index[2]], iq3s_grid[idx.index[3]]);
|
|
const uint32x4_t aux32x4_1 = ggml_vld1q_u32(iq3s_grid[idx.index[4]], iq3s_grid[idx.index[5]],
|
|
iq3s_grid[idx.index[6]], iq3s_grid[idx.index[7]]);
|
|
idx.vec_index = vorrq_u16(vmovl_u8(vget_high_u8(idx_l)), vandq_u16(vshlq_u16(vdupq_n_u16(qh[ib32+1]), hshift), m256));
|
|
const uint32x4_t aux32x4_2 = ggml_vld1q_u32(iq3s_grid[idx.index[0]], iq3s_grid[idx.index[1]],
|
|
iq3s_grid[idx.index[2]], iq3s_grid[idx.index[3]]);
|
|
const uint32x4_t aux32x4_3 = ggml_vld1q_u32(iq3s_grid[idx.index[4]], iq3s_grid[idx.index[5]],
|
|
iq3s_grid[idx.index[6]], iq3s_grid[idx.index[7]]);
|
|
|
|
|
|
vs.val[0] = vreinterpretq_u8_u32(vdupq_n_u32(signs[0] | ((uint32_t) signs[1] << 16)));
|
|
vs.val[1] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[1]), mask2);
|
|
vs.val[0] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[0]), mask2);
|
|
vs.val[0] = vorrq_u8(vceqq_u8(vs.val[0], mask2), m1);
|
|
vs.val[1] = vorrq_u8(vceqq_u8(vs.val[1], mask2), m1);
|
|
|
|
q3s.val[0] = vmulq_s8(vreinterpretq_s8_u8(vs.val[0]), vreinterpretq_s8_u32(aux32x4_0));
|
|
q3s.val[1] = vmulq_s8(vreinterpretq_s8_u8(vs.val[1]), vreinterpretq_s8_u32(aux32x4_1));
|
|
|
|
vs.val[0] = vreinterpretq_u8_u32(vdupq_n_u32(signs[2] | ((uint32_t) signs[3] << 16)));
|
|
vs.val[1] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[1]), mask2);
|
|
vs.val[0] = vandq_u8(ggml_vqtbl1q_u8(vs.val[0], mask1.val[0]), mask2);
|
|
vs.val[0] = vorrq_u8(vceqq_u8(vs.val[0], mask2), m1);
|
|
vs.val[1] = vorrq_u8(vceqq_u8(vs.val[1], mask2), m1);
|
|
|
|
signs += 4;
|
|
|
|
q3s.val[2] = vmulq_s8(vreinterpretq_s8_u8(vs.val[0]), vreinterpretq_s8_u32(aux32x4_2));
|
|
q3s.val[3] = vmulq_s8(vreinterpretq_s8_u8(vs.val[1]), vreinterpretq_s8_u32(aux32x4_3));
|
|
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[0], q8b.val[0]), q3s.val[1], q8b.val[1]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q3s.val[2], q8b.val[2]), q3s.val[3], q8b.val[3]);
|
|
#if QK_K == 256
|
|
sumi1 += vaddvq_s32(p1) * scales8[ib32/2+0];
|
|
sumi2 += vaddvq_s32(p2) * scales8[ib32/2+4];
|
|
#else
|
|
sumi1 += vaddvq_s32(p1) * (1 + 2*(x[i].scales[ib32/2] & 0xf));
|
|
sumi2 += vaddvq_s32(p2) * (1 + 2*(x[i].scales[ib32/2] >> 4));
|
|
#endif
|
|
}
|
|
sumf += d*(sumi1 + sumi2);
|
|
}
|
|
*s = sumf;
|
|
|
|
#elif defined(__AVX2__)
|
|
|
|
static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
|
|
0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
|
|
};
|
|
|
|
static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
|
|
};
|
|
|
|
const __m256i mask1 = _mm256_loadu_si256((const __m256i*)k_mask1);
|
|
const __m256i mask2 = _mm256_loadu_si256((const __m256i*)k_mask2);
|
|
|
|
const __m256i idx_shift = _mm256_set_epi32(1, 2, 3, 4, 5, 6, 7, 8);
|
|
const __m256i idx_mask = _mm256_set1_epi32(256);
|
|
|
|
typedef union {
|
|
__m256i vec[2];
|
|
uint32_t index[16];
|
|
} index_t;
|
|
|
|
index_t idx;
|
|
|
|
__m256 accumf = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict qs = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const uint16_t * restrict signs = (const uint16_t *)x[i].signs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const __m256i q8_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i idx_l = _mm256_cvtepu8_epi16(_mm_loadu_si128((const __m128i *)qs)); qs += 16;
|
|
idx.vec[0] = _mm256_set1_epi32(qh[ib32+0]);
|
|
idx.vec[1] = _mm256_set1_epi32(qh[ib32+1]);
|
|
idx.vec[0] = _mm256_and_si256(_mm256_sllv_epi32(idx.vec[0], idx_shift), idx_mask);
|
|
idx.vec[1] = _mm256_and_si256(_mm256_sllv_epi32(idx.vec[1], idx_shift), idx_mask);
|
|
idx.vec[0] = _mm256_or_si256(idx.vec[0], _mm256_cvtepi16_epi32(_mm256_castsi256_si128(idx_l)));
|
|
idx.vec[1] = _mm256_or_si256(idx.vec[1], _mm256_cvtepi16_epi32(_mm256_extractf128_si256(idx_l, 1)));
|
|
|
|
// At leat on my CPU (Ryzen 7950X), using _mm256_i32gather_epi32 is slower than _mm256_set_epi32. Strange.
|
|
//const __m256i q2_1 = _mm256_i32gather_epi32((const int *)iq3s_grid, idx.vec[0], 4);
|
|
//const __m256i q2_2 = _mm256_i32gather_epi32((const int *)iq3s_grid, idx.vec[1], 4);
|
|
const __m256i q2_1 = _mm256_set_epi32(
|
|
iq3s_grid[idx.index[7]], iq3s_grid[idx.index[6]], iq3s_grid[idx.index[5]], iq3s_grid[idx.index[4]],
|
|
iq3s_grid[idx.index[3]], iq3s_grid[idx.index[2]], iq3s_grid[idx.index[1]], iq3s_grid[idx.index[0]]
|
|
);
|
|
const __m256i q2_2 = _mm256_set_epi32(
|
|
iq3s_grid[idx.index[15]], iq3s_grid[idx.index[14]], iq3s_grid[idx.index[13]], iq3s_grid[idx.index[12]],
|
|
iq3s_grid[idx.index[11]], iq3s_grid[idx.index[10]], iq3s_grid[idx.index[ 9]], iq3s_grid[idx.index[ 8]]
|
|
);
|
|
|
|
__m256i aux256 = _mm256_set1_epi32(signs[0] | (signs[1] << 16));
|
|
aux256 = _mm256_and_si256(_mm256_shuffle_epi8(aux256,mask1), mask2);
|
|
const __m256i s2_1 = _mm256_cmpeq_epi8(aux256, mask2);
|
|
const __m256i q8s_1 = _mm256_sub_epi8(_mm256_xor_si256(s2_1, q8_1), s2_1);
|
|
|
|
aux256 = _mm256_set1_epi32(signs[2] | (signs[3] << 16));
|
|
aux256 = _mm256_and_si256(_mm256_shuffle_epi8(aux256,mask1), mask2);
|
|
const __m256i s2_2 = _mm256_cmpeq_epi8(aux256, mask2);
|
|
const __m256i q8s_2 = _mm256_sub_epi8(_mm256_xor_si256(s2_2, q8_2), s2_2);
|
|
|
|
signs += 4;
|
|
|
|
const __m256i dot1 = _mm256_maddubs_epi16(q2_1, q8s_1);
|
|
const __m256i dot2 = _mm256_maddubs_epi16(q2_2, q8s_2);
|
|
const uint16_t ls1 = x[i].scales[ib32/2] & 0xf;
|
|
const uint16_t ls2 = x[i].scales[ib32/2] >> 4;
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, _mm256_set1_epi16(2*ls1+1));
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, _mm256_set1_epi16(2*ls2+1));
|
|
sumi1 = _mm256_add_epi32(sumi1, p1);
|
|
sumi2 = _mm256_add_epi32(sumi2, p2);
|
|
}
|
|
|
|
accumf = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accumf);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(accumf);
|
|
|
|
#else
|
|
|
|
float sumf = 0.f;
|
|
for (int i = 0; i < nb; ++i) {
|
|
const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
|
|
const uint8_t * restrict qs = x[i].qs;
|
|
const uint8_t * restrict qh = x[i].qh;
|
|
const uint8_t * restrict signs = x[i].signs;
|
|
const int8_t * restrict q8 = y[i].qs;
|
|
int32_t bsum = 0;
|
|
for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
|
|
const uint32_t ls1 = 2*(x[i].scales[ib32/2] & 0xf) + 1;
|
|
const uint32_t ls2 = 2*(x[i].scales[ib32/2] >> 4) + 1;
|
|
int32_t sumi = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*l+0] | ((qh[ib32+0] << (8-2*l)) & 256)));
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*l+1] | ((qh[ib32+0] << (7-2*l)) & 256)));
|
|
for (int j = 0; j < 4; ++j) {
|
|
sumi += grid1[j] * q8[j+0] * (signs[l] & kmask_iq2xs[j+0] ? -1 : 1);
|
|
sumi += grid2[j] * q8[j+4] * (signs[l] & kmask_iq2xs[j+4] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
qs += 8;
|
|
signs += 4;
|
|
bsum += sumi * ls1;
|
|
sumi = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*l+0] | ((qh[ib32+1] << (8-2*l)) & 256)));
|
|
const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*l+1] | ((qh[ib32+1] << (7-2*l)) & 256)));
|
|
for (int j = 0; j < 4; ++j) {
|
|
sumi += grid1[j] * q8[j+0] * (signs[l] & kmask_iq2xs[j+0] ? -1 : 1);
|
|
sumi += grid2[j] * q8[j+4] * (signs[l] & kmask_iq2xs[j+4] ? -1 : 1);
|
|
}
|
|
q8 += 8;
|
|
}
|
|
qs += 8;
|
|
signs += 4;
|
|
bsum += sumi * ls2;
|
|
}
|
|
sumf += d * bsum;
|
|
}
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
|
|
#ifdef __AVX2__
|
|
static inline __m256i mul_add_epi8(const __m256i x, const __m256i y) {
|
|
const __m256i ax = _mm256_sign_epi8(x, x);
|
|
const __m256i sy = _mm256_sign_epi8(y, x);
|
|
return _mm256_maddubs_epi16(ax, sy);
|
|
}
|
|
#endif
|
|
|
|
void ggml_vec_dot_iq1_s_q8_K (int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq1_s * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined __ARM_NEON
|
|
|
|
ggml_int8x16x4_t q1b;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint16_t * qh = x[i].qh;
|
|
|
|
int sumi1 = 0, sumi2 = 0, sumi3 = 0;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
|
|
q1b.val[0] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[0] | ((qh[ib+0] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[1] | ((qh[ib+0] << 5) & 0x700)))));
|
|
q1b.val[1] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[2] | ((qh[ib+0] << 2) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[3] | ((qh[ib+0] >> 1) & 0x700)))));
|
|
q1b.val[2] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[4] | ((qh[ib+1] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[5] | ((qh[ib+1] << 5) & 0x700)))));
|
|
q1b.val[3] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[6] | ((qh[ib+1] << 2) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[7] | ((qh[ib+1] >> 1) & 0x700)))));
|
|
qs += 8;
|
|
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
const int32x4_t p1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q1b.val[0], q8b.val[0]), q1b.val[1], q8b.val[1]);
|
|
const int32x4_t p2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q1b.val[2], q8b.val[2]), q1b.val[3], q8b.val[3]);
|
|
|
|
const int ls1 = 2*((qh[ib+0] >> 12) & 7) + 1;
|
|
const int ls2 = 2*((qh[ib+1] >> 12) & 7) + 1;
|
|
sumi1 += vaddvq_s32(p1) * ls1;
|
|
sumi2 += vaddvq_s32(p2) * ls2;
|
|
sumi3 += (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]) * ls1 * (qh[ib+0] & 0x8000 ? -1 : 1)
|
|
+ (y[i].bsums[2*ib+2] + y[i].bsums[2*ib+3]) * ls2 * (qh[ib+1] & 0x8000 ? -1 : 1);
|
|
|
|
}
|
|
|
|
sumf += y[i].d * GGML_FP16_TO_FP32(x[i].d) * (sumi1 + sumi2 + IQ1S_DELTA * sumi3);
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
__m256 accum = _mm256_setzero_ps();
|
|
float accum1 = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint16_t * qh = x[i].qh;
|
|
|
|
__m256i sumi = _mm256_setzero_si256();
|
|
int sumi1 = 0;
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
const __m256i q1b_1 = _mm256_set_epi64x(iq1s_grid[qs[3] | ((qh[ib+0] >> 1) & 0x700)], iq1s_grid[qs[2] | ((qh[ib+0] << 2) & 0x700)],
|
|
iq1s_grid[qs[1] | ((qh[ib+0] << 5) & 0x700)], iq1s_grid[qs[0] | ((qh[ib+0] << 8) & 0x700)]);
|
|
const __m256i q1b_2 = _mm256_set_epi64x(iq1s_grid[qs[7] | ((qh[ib+1] >> 1) & 0x700)], iq1s_grid[qs[6] | ((qh[ib+1] << 2) & 0x700)],
|
|
iq1s_grid[qs[5] | ((qh[ib+1] << 5) & 0x700)], iq1s_grid[qs[4] | ((qh[ib+1] << 8) & 0x700)]);
|
|
qs += 8;
|
|
const __m256i q8b_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8b_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
const __m256i dot1 = mul_add_epi8(q1b_1, q8b_1);
|
|
const __m256i dot2 = mul_add_epi8(q1b_2, q8b_2);
|
|
const int16_t ls1 = 2*((qh[ib+0] >> 12) & 7) + 1;
|
|
const int16_t ls2 = 2*((qh[ib+1] >> 12) & 7) + 1;
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, _mm256_set1_epi16(ls1));
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, _mm256_set1_epi16(ls2));
|
|
|
|
sumi = _mm256_add_epi32(sumi, _mm256_add_epi32(p1, p2));
|
|
sumi1 += (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]) * (qh[ib+0] & 0x8000 ? -1 : 1) * ls1
|
|
+ (y[i].bsums[2*ib+2] + y[i].bsums[2*ib+3]) * (qh[ib+1] & 0x8000 ? -1 : 1) * ls2;
|
|
}
|
|
|
|
const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
|
|
accum = _mm256_fmadd_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(sumi), accum);
|
|
accum1 += d * sumi1;
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(accum) + IQ1S_DELTA * accum1;
|
|
|
|
#else
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint16_t * qh = x[i].qh;
|
|
|
|
int sumi = 0, sumi1 = 0;
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
const int ls = 2*((qh[ib] >> 12) & 7) + 1;
|
|
const int delta = qh[ib] & 0x8000 ? -1 : 1;
|
|
int lsum = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const int8_t * grid = (const int8_t *)(iq1s_grid + (qs[l] | (((qh[ib] >> 3*l) & 7) << 8)));
|
|
for (int j = 0; j < 8; ++j) {
|
|
lsum += q8[j] * grid[j];
|
|
}
|
|
q8 += 8;
|
|
}
|
|
sumi += ls * lsum;
|
|
sumi1 += ls * delta * (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]);
|
|
qs += 4;
|
|
}
|
|
|
|
sumf += GGML_FP16_TO_FP32(x[i].d) * y[i].d * (sumi + IQ1S_DELTA * sumi1);
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq1_m_q8_K (int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(n % QK_K == 0);
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
|
|
const block_iq1_m * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if QK_K != 64
|
|
iq1m_scale_t scale;
|
|
#endif
|
|
|
|
#if defined __ARM_NEON
|
|
|
|
#if QK_K == 64
|
|
const int32x4_t mask = vdupq_n_s32(0xf);
|
|
#else
|
|
const int32x4_t mask = vdupq_n_s32(0x7);
|
|
#endif
|
|
const int32x4_t mone = vdupq_n_s32(1);
|
|
const int32x4_t mzero = vdupq_n_s32(0);
|
|
|
|
ggml_int8x16x4_t deltas;
|
|
deltas.val[0] = vcombine_s8(vdup_n_s8(+1), vdup_n_s8(+1));
|
|
deltas.val[1] = vcombine_s8(vdup_n_s8(-1), vdup_n_s8(+1));
|
|
deltas.val[2] = vcombine_s8(vdup_n_s8(+1), vdup_n_s8(-1));
|
|
deltas.val[3] = vcombine_s8(vdup_n_s8(-1), vdup_n_s8(-1));
|
|
|
|
ggml_int8x16x4_t q1b;
|
|
ggml_int8x16x4_t q8b;
|
|
|
|
uint32_t aux32;
|
|
const uint8_t * aux8 = (const uint8_t *)&aux32;
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint16_t * sc = (const uint16_t *)x[i].scales;
|
|
|
|
#if QK_K != 64
|
|
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
|
|
#endif
|
|
|
|
int32x4_t sumi1 = mzero;
|
|
int32x4_t sumi2 = mzero;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
|
|
q1b.val[0] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[0] | ((qh[0] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[1] | ((qh[0] << 4) & 0x700)))));
|
|
q1b.val[1] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[2] | ((qh[1] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[3] | ((qh[1] << 4) & 0x700)))));
|
|
q1b.val[2] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[4] | ((qh[2] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[5] | ((qh[2] << 4) & 0x700)))));
|
|
q1b.val[3] = vcombine_s8(vld1_s8((const int8_t *)(iq1s_grid + (qs[6] | ((qh[3] << 8) & 0x700)))),
|
|
vld1_s8((const int8_t *)(iq1s_grid + (qs[7] | ((qh[3] << 4) & 0x700)))));
|
|
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
const int32x4_t p1 = vpaddq_s32(ggml_vdotq_s32(mzero, q1b.val[0], q8b.val[0]), ggml_vdotq_s32(mzero, q1b.val[1], q8b.val[1]));
|
|
const int32x4_t p2 = vpaddq_s32(ggml_vdotq_s32(mzero, q1b.val[2], q8b.val[2]), ggml_vdotq_s32(mzero, q1b.val[3], q8b.val[3]));
|
|
const int32x4_t p12 = vpaddq_s32(p1, p2);
|
|
|
|
const uint32_t * qh32 = (const uint32_t *)qh; // we are 4-byte aligned, so we can do that
|
|
aux32 = ((qh32[0] >> 3) & 0x01010101) | ((qh32[0] >> 6) & 0x02020202);
|
|
|
|
const int32x4_t p3 = vpaddq_s32(ggml_vdotq_s32(mzero, deltas.val[aux8[0]], q8b.val[0]), ggml_vdotq_s32(mzero, deltas.val[aux8[1]], q8b.val[1]));
|
|
const int32x4_t p4 = vpaddq_s32(ggml_vdotq_s32(mzero, deltas.val[aux8[2]], q8b.val[2]), ggml_vdotq_s32(mzero, deltas.val[aux8[3]], q8b.val[3]));
|
|
const int32x4_t p34 = vpaddq_s32(p3, p4);
|
|
|
|
#if QK_K == 64
|
|
int32x4_t scales_4 = ggml_vld1q_u32(sc[0] >> 0, sc[0] >> 4, sc[0] >> 8, sc[0] >> 12);
|
|
#else
|
|
int32x4_t scales_4 = ggml_vld1q_u32(sc[ib/2] >> 0, sc[ib/2] >> 3, sc[ib/2] >> 6, sc[ib/2] >> 9);
|
|
#endif
|
|
scales_4 = vaddq_s32(vshlq_n_s32(vandq_s32(scales_4, mask), 1), mone);
|
|
|
|
sumi1 = vmlaq_s32(sumi1, scales_4, p12);
|
|
sumi2 = vmlaq_s32(sumi2, scales_4, p34);
|
|
|
|
qs += 8; qh += 4;
|
|
|
|
}
|
|
|
|
#if QK_K == 64
|
|
sumf += y[i].d * GGML_FP16_TO_FP32(x[i].d) * (vaddvq_s32(sumi1) + IQ1M_DELTA * vaddvq_s32(sumi2));
|
|
#else
|
|
sumf += y[i].d * GGML_FP16_TO_FP32(scale.f16) * (vaddvq_s32(sumi1) + IQ1M_DELTA * vaddvq_s32(sumi2));
|
|
#endif
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
#if QK_K == 64
|
|
const __m256i mask = _mm256_set1_epi16(0xf);
|
|
#else
|
|
const __m256i mask = _mm256_set1_epi16(0x7);
|
|
#endif
|
|
const __m256i mone = _mm256_set1_epi16(1);
|
|
|
|
__m256 accum1 = _mm256_setzero_ps();
|
|
__m256 accum2 = _mm256_setzero_ps();
|
|
for (int i = 0; i < nb; ++i) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint16_t * sc = (const uint16_t *)x[i].scales;
|
|
|
|
#if QK_K != 64
|
|
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
|
|
#endif
|
|
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
const __m256i q1b_1 = _mm256_set_epi64x(
|
|
iq1s_grid[qs[3] | (((uint16_t)qh[1] << 4) & 0x700)], iq1s_grid[qs[2] | (((uint16_t)qh[1] << 8) & 0x700)],
|
|
iq1s_grid[qs[1] | (((uint16_t)qh[0] << 4) & 0x700)], iq1s_grid[qs[0] | (((uint16_t)qh[0] << 8) & 0x700)]
|
|
);
|
|
const __m256i q1b_2 = _mm256_set_epi64x(
|
|
iq1s_grid[qs[7] | (((uint16_t)qh[3] << 4) & 0x700)], iq1s_grid[qs[6] | (((uint16_t)qh[3] << 8) & 0x700)],
|
|
iq1s_grid[qs[5] | (((uint16_t)qh[2] << 4) & 0x700)], iq1s_grid[qs[4] | (((uint16_t)qh[2] << 8) & 0x700)]
|
|
);
|
|
const __m256i q8b_1 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
const __m256i q8b_2 = _mm256_loadu_si256((const __m256i*)q8); q8 += 32;
|
|
|
|
const __m256i dot1 = mul_add_epi8(q1b_1, q8b_1);
|
|
const __m256i dot2 = mul_add_epi8(q1b_2, q8b_2);
|
|
|
|
const __m256i delta1 = _mm256_set_epi64x(qh[1] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[1] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[0] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[0] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
|
|
const __m256i delta2 = _mm256_set_epi64x(qh[3] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[3] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[2] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
|
|
qh[2] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
|
|
|
|
const __m256i dot3 = mul_add_epi8(delta1, q8b_1);
|
|
const __m256i dot4 = mul_add_epi8(delta2, q8b_2);
|
|
#if QK_K == 64
|
|
__m256i scale1 = MM256_SET_M128I(_mm_set1_epi16(sc[0] >> 4), _mm_set1_epi16(sc[0] >> 0));
|
|
__m256i scale2 = MM256_SET_M128I(_mm_set1_epi16(sc[0] >> 12), _mm_set1_epi16(sc[0] >> 8));
|
|
#else
|
|
__m256i scale1 = MM256_SET_M128I(_mm_set1_epi16(sc[ib/2] >> 3), _mm_set1_epi16(sc[ib/2] >> 0));
|
|
__m256i scale2 = MM256_SET_M128I(_mm_set1_epi16(sc[ib/2] >> 9), _mm_set1_epi16(sc[ib/2] >> 6));
|
|
#endif
|
|
scale1 = _mm256_add_epi16(_mm256_slli_epi16(_mm256_and_si256(scale1, mask), 1), mone);
|
|
scale2 = _mm256_add_epi16(_mm256_slli_epi16(_mm256_and_si256(scale2, mask), 1), mone);
|
|
const __m256i p1 = _mm256_madd_epi16(dot1, scale1);
|
|
const __m256i p2 = _mm256_madd_epi16(dot2, scale2);
|
|
const __m256i p3 = _mm256_madd_epi16(dot3, scale1);
|
|
const __m256i p4 = _mm256_madd_epi16(dot4, scale2);
|
|
|
|
sumi1 = _mm256_add_epi32(sumi1, _mm256_add_epi32(p1, p2));
|
|
sumi2 = _mm256_add_epi32(sumi2, _mm256_add_epi32(p3, p4));
|
|
|
|
qs += 8; qh += 4;
|
|
}
|
|
|
|
#if QK_K == 64
|
|
const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(x[i].d));
|
|
#else
|
|
const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(scale.f16));
|
|
#endif
|
|
accum1 = _mm256_fmadd_ps(d, _mm256_cvtepi32_ps(sumi1), accum1);
|
|
accum2 = _mm256_fmadd_ps(d, _mm256_cvtepi32_ps(sumi2), accum2);
|
|
|
|
}
|
|
|
|
*s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2);
|
|
|
|
#else
|
|
|
|
int sum1[2], sum2[2], delta[4];
|
|
|
|
float sumf = 0;
|
|
for (int i = 0; i < nb; i++) {
|
|
|
|
const int8_t * q8 = y[i].qs;
|
|
const uint8_t * qs = x[i].qs;
|
|
const uint8_t * qh = x[i].qh;
|
|
const uint16_t * sc = (const uint16_t *)x[i].scales;
|
|
|
|
#if QK_K != 64
|
|
scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
|
|
#endif
|
|
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
delta[0] = qh[0] & 0x08 ? -1 : 1;
|
|
delta[1] = qh[0] & 0x80 ? -1 : 1;
|
|
delta[2] = qh[1] & 0x08 ? -1 : 1;
|
|
delta[3] = qh[1] & 0x80 ? -1 : 1;
|
|
sum1[0] = sum1[1] = sum2[0] = sum2[1] = 0;
|
|
for (int l = 0; l < 4; ++l) {
|
|
const int8_t * grid = (const int8_t *)(iq1s_grid + (qs[l] | (((uint16_t)qh[l/2] << (8 - 4*(l%2))) & 0x700)));
|
|
int lsum1 = 0, lsum2 = 0;
|
|
for (int j = 0; j < 8; ++j) {
|
|
lsum1 += q8[j] * grid[j];
|
|
lsum2 += q8[j];
|
|
}
|
|
q8 += 8;
|
|
sum1[l/2] += lsum1;
|
|
sum2[l/2] += lsum2*delta[l];
|
|
}
|
|
#if QK_K == 64
|
|
const int ls1 = 2*((sc[0] >> (8*(ib%2)+0)) & 0xf) + 1;
|
|
const int ls2 = 2*((sc[0] >> (8*(ib%2)+4)) & 0xf) + 1;
|
|
#else
|
|
const int ls1 = 2*((sc[ib/2] >> (6*(ib%2)+0)) & 0x7) + 1;
|
|
const int ls2 = 2*((sc[ib/2] >> (6*(ib%2)+3)) & 0x7) + 1;
|
|
#endif
|
|
sumi1 += sum1[0] * ls1 + sum1[1] * ls2;
|
|
sumi2 += sum2[0] * ls1 + sum2[1] * ls2;
|
|
qs += 4;
|
|
qh += 2;
|
|
}
|
|
|
|
#if QK_K == 64
|
|
sumf += GGML_FP16_TO_FP32(x[i].d) * y[i].d * (sumi1 + IQ1M_DELTA * sumi2);
|
|
#else
|
|
sumf += GGML_FP16_TO_FP32(scale.f16) * y[i].d * (sumi1 + IQ1M_DELTA * sumi2);
|
|
#endif
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
assert(n % QK4_NL == 0);
|
|
static_assert(QK4_NL == QK8_0, "QK4_NL and QK8_0 must be the same");
|
|
|
|
const block_iq4_nl * restrict x = vx;
|
|
const block_q8_0 * restrict y = vy;
|
|
|
|
const int nb = n / QK4_NL;
|
|
|
|
#if defined __ARM_NEON
|
|
const int8x16_t values = vld1q_s8(kvalues_iq4nl);
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0f);
|
|
uint8x16x2_t q4bits;
|
|
int8x16x4_t q4b;
|
|
int8x16x4_t q8b;
|
|
int32x4_t prod_1, prod_2;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int ib = 0; ib < nb; ib += 2) {
|
|
|
|
q4bits.val[0] = vld1q_u8(x[ib+0].qs);
|
|
q4bits.val[1] = vld1q_u8(x[ib+1].qs);
|
|
q8b.val[0] = vld1q_s8(y[ib+0].qs);
|
|
q8b.val[1] = vld1q_s8(y[ib+0].qs + 16);
|
|
q8b.val[2] = vld1q_s8(y[ib+1].qs);
|
|
q8b.val[3] = vld1q_s8(y[ib+1].qs + 16);
|
|
|
|
q4b.val[0] = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits.val[0], m4b));
|
|
q4b.val[1] = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits.val[0], 4));
|
|
q4b.val[2] = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits.val[1], m4b));
|
|
q4b.val[3] = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits.val[1], 4));
|
|
|
|
prod_1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q4b.val[0], q8b.val[0]), q4b.val[1], q8b.val[1]);
|
|
prod_2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q4b.val[2], q8b.val[2]), q4b.val[3], q8b.val[3]);
|
|
|
|
sumf +=
|
|
GGML_FP16_TO_FP32(x[ib+0].d) * GGML_FP16_TO_FP32(y[ib+0].d) * vaddvq_s32(prod_1) +
|
|
GGML_FP16_TO_FP32(x[ib+1].d) * GGML_FP16_TO_FP32(y[ib+1].d) * vaddvq_s32(prod_2);
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl);
|
|
const __m128i m4b = _mm_set1_epi8(0x0f);
|
|
const __m256i mone = _mm256_set1_epi16(1);
|
|
|
|
__m256 accum1 = _mm256_setzero_ps();
|
|
__m256 accum2 = _mm256_setzero_ps();
|
|
for (int ib = 0; ib < nb; ib += 2) {
|
|
const __m128i q4bits_1 = _mm_loadu_si128((const __m128i*)x[0].qs);
|
|
const __m128i q4bits_2 = _mm_loadu_si128((const __m128i*)x[1].qs);
|
|
const __m256i q8b_1 = _mm256_loadu_si256((const __m256i *)y[0].qs);
|
|
const __m256i q8b_2 = _mm256_loadu_si256((const __m256i *)y[1].qs);
|
|
const __m256i q4b_1 = MM256_SET_M128I(_mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b)),
|
|
_mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b)));
|
|
const __m256i q4b_2 = MM256_SET_M128I(_mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b)),
|
|
_mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b)));
|
|
const __m256i p16_1 = mul_add_epi8(q4b_1, q8b_1);
|
|
const __m256i p16_2 = mul_add_epi8(q4b_2, q8b_2);
|
|
const __m256i p_1 = _mm256_madd_epi16(p16_1, mone);
|
|
const __m256i p_2 = _mm256_madd_epi16(p16_2, mone);
|
|
accum1 = _mm256_fmadd_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[0].d)*GGML_FP16_TO_FP32(x[0].d)),
|
|
_mm256_cvtepi32_ps(p_1), accum1);
|
|
accum2 = _mm256_fmadd_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[1].d)*GGML_FP16_TO_FP32(x[1].d)),
|
|
_mm256_cvtepi32_ps(p_2), accum2);
|
|
|
|
y += 2;
|
|
x += 2;
|
|
}
|
|
|
|
*s = hsum_float_8(_mm256_add_ps(accum1, accum2));
|
|
|
|
#else
|
|
float sumf = 0;
|
|
for (int ib = 0; ib < nb; ++ib) {
|
|
const float d = GGML_FP16_TO_FP32(y[ib].d)*GGML_FP16_TO_FP32(x[ib].d);
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int j = 0; j < QK4_NL/2; ++j) {
|
|
sumi1 += y[ib].qs[j+ 0] * kvalues_iq4nl[x[ib].qs[j] & 0xf];
|
|
sumi2 += y[ib].qs[j+QK4_NL/2] * kvalues_iq4nl[x[ib].qs[j] >> 4];
|
|
}
|
|
sumf += d * (sumi1 + sumi2);
|
|
}
|
|
*s = sumf;
|
|
#endif
|
|
}
|
|
|
|
void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void * restrict vx, size_t bx, const void * restrict vy, size_t by, int nrc) {
|
|
assert(nrc == 1);
|
|
UNUSED(nrc);
|
|
UNUSED(bx);
|
|
UNUSED(by);
|
|
UNUSED(bs);
|
|
assert(n % QK_K == 0);
|
|
#if QK_K == 64
|
|
ggml_vec_dot_iq4_nl_q8_0(n, s, bs, vx, bx, vy, by, nrc);
|
|
#else
|
|
|
|
const block_iq4_xs * restrict x = vx;
|
|
const block_q8_K * restrict y = vy;
|
|
|
|
const int nb = n / QK_K;
|
|
|
|
#if defined __ARM_NEON
|
|
const int8x16_t values = vld1q_s8(kvalues_iq4nl);
|
|
const uint8x16_t m4b = vdupq_n_u8(0x0f);
|
|
ggml_uint8x16x2_t q4bits;
|
|
ggml_int8x16x4_t q4b;
|
|
ggml_int8x16x4_t q8b;
|
|
int32x4_t prod_1, prod_2;
|
|
|
|
float sumf = 0;
|
|
|
|
for (int ibl = 0; ibl < nb; ++ibl) {
|
|
|
|
const int8_t * q8 = y[ibl].qs;
|
|
const uint8_t * q4 = x[ibl].qs;
|
|
uint16_t h = x[ibl].scales_h;
|
|
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int ib = 0; ib < QK_K/64; ++ib) {
|
|
|
|
q4bits = ggml_vld1q_u8_x2(q4); q4 += 32;
|
|
q8b = ggml_vld1q_s8_x4(q8); q8 += 64;
|
|
|
|
q4b.val[0] = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits.val[0], m4b));
|
|
q4b.val[1] = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits.val[0], 4));
|
|
q4b.val[2] = ggml_vqtbl1q_s8(values, vandq_u8 (q4bits.val[1], m4b));
|
|
q4b.val[3] = ggml_vqtbl1q_s8(values, vshrq_n_u8(q4bits.val[1], 4));
|
|
|
|
prod_1 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q4b.val[0], q8b.val[0]), q4b.val[1], q8b.val[1]);
|
|
prod_2 = ggml_vdotq_s32(ggml_vdotq_s32(vdupq_n_s32(0), q4b.val[2], q8b.val[2]), q4b.val[3], q8b.val[3]);
|
|
|
|
int ls1 = ((x[ibl].scales_l[ib] & 0xf) | ((h << 4) & 0x30)) - 32;
|
|
int ls2 = ((x[ibl].scales_l[ib] >> 4) | ((h << 2) & 0x30)) - 32;
|
|
h >>= 4;
|
|
sumi1 += vaddvq_s32(prod_1) * ls1;
|
|
sumi2 += vaddvq_s32(prod_2) * ls2;
|
|
|
|
}
|
|
|
|
sumf += GGML_FP16_TO_FP32(x[ibl].d) * y[ibl].d * (sumi1 + sumi2);
|
|
}
|
|
|
|
*s = sumf;
|
|
|
|
#elif defined __AVX2__
|
|
|
|
const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl);
|
|
const __m128i m4b = _mm_set1_epi8(0x0f);
|
|
|
|
__m256 accum = _mm256_setzero_ps();
|
|
for (int ibl = 0; ibl < nb; ++ibl) {
|
|
const uint8_t * qs = x[ibl].qs;
|
|
const int8_t * q8 = y[ibl].qs;
|
|
uint16_t sh = x[ibl].scales_h;
|
|
__m256i sumi1 = _mm256_setzero_si256();
|
|
__m256i sumi2 = _mm256_setzero_si256();
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
const __m128i q4bits_1 = _mm_loadu_si128((const __m128i*)qs); qs += 16;
|
|
const __m128i q4bits_2 = _mm_loadu_si128((const __m128i*)qs); qs += 16;
|
|
const __m256i q8b_1 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q8b_2 = _mm256_loadu_si256((const __m256i *)q8); q8 += 32;
|
|
const __m256i q4b_1 = MM256_SET_M128I(_mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b)),
|
|
_mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b)));
|
|
const __m256i q4b_2 = MM256_SET_M128I(_mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b)),
|
|
_mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b)));
|
|
const __m256i p16_1 = mul_add_epi8(q4b_1, q8b_1);
|
|
const __m256i p16_2 = mul_add_epi8(q4b_2, q8b_2);
|
|
const int16_t ls1 = ((x[ibl].scales_l[ib/2] & 0xf) | ((sh << 4) & 0x30)) - 32;
|
|
const int16_t ls2 = ((x[ibl].scales_l[ib/2] >> 4) | ((sh << 2) & 0x30)) - 32;
|
|
sh >>= 4;
|
|
const __m256i p_1 = _mm256_madd_epi16(p16_1, _mm256_set1_epi16(ls1));
|
|
const __m256i p_2 = _mm256_madd_epi16(p16_2, _mm256_set1_epi16(ls2));
|
|
sumi1 = _mm256_add_epi32(p_1, sumi1);
|
|
sumi2 = _mm256_add_epi32(p_2, sumi2);
|
|
}
|
|
accum = _mm256_fmadd_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(x[ibl].d)*y[ibl].d),
|
|
_mm256_cvtepi32_ps(_mm256_add_epi32(sumi1, sumi2)), accum);
|
|
}
|
|
|
|
*s = hsum_float_8(accum);
|
|
|
|
#else
|
|
float sumf = 0;
|
|
for (int ibl = 0; ibl < nb; ++ibl) {
|
|
const float d4d8 = GGML_FP16_TO_FP32(x[ibl].d) * y[ibl].d;
|
|
uint16_t h = x[ibl].scales_h;
|
|
const uint8_t * qs = x[ibl].qs;
|
|
const int8_t * q8 = y[ibl].qs;
|
|
for (int ib = 0; ib < QK_K/32; ib += 2) {
|
|
const uint8_t ls1 = (x[ibl].scales_l[ib/2] & 0xf) | ((h << 4) & 0x30);
|
|
const uint8_t ls2 = (x[ibl].scales_l[ib/2] >> 4) | ((h << 2) & 0x30);
|
|
h >>= 4;
|
|
const float d1 = d4d8*(ls1 - 32);
|
|
const float d2 = d4d8*(ls2 - 32);
|
|
int sumi1 = 0, sumi2 = 0;
|
|
for (int j = 0; j < 16; ++j) {
|
|
sumi1 += q8[j+ 0] * kvalues_iq4nl[qs[j] & 0xf];
|
|
sumi2 += q8[j+16] * kvalues_iq4nl[qs[j] >> 4];
|
|
}
|
|
sumf += d1 * (sumi1 + sumi2);
|
|
qs += 16;
|
|
q8 += 32;
|
|
sumi1 = sumi2 = 0;
|
|
for (int j = 0; j < 16; ++j) {
|
|
sumi1 += q8[j+ 0] * kvalues_iq4nl[qs[j] & 0xf];
|
|
sumi2 += q8[j+16] * kvalues_iq4nl[qs[j] >> 4];
|
|
}
|
|
sumf += d2 * (sumi1 + sumi2);
|
|
qs += 16;
|
|
q8 += 32;
|
|
}
|
|
}
|
|
*s = sumf;
|
|
#endif
|
|
#endif
|
|
}
|
|
|
|
// ================================ IQ2 quantization =============================================
|
|
|
|
typedef struct {
|
|
uint64_t * grid;
|
|
int * map;
|
|
uint16_t * neighbours;
|
|
} iq2_entry_t;
|
|
|
|
static iq2_entry_t iq2_data[4] = {
|
|
{NULL, NULL, NULL},
|
|
{NULL, NULL, NULL},
|
|
{NULL, NULL, NULL},
|
|
{NULL, NULL, NULL},
|
|
};
|
|
|
|
static inline int iq2_data_index(enum ggml_type type) {
|
|
GGML_ASSERT(type == GGML_TYPE_IQ2_XXS || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M || type == GGML_TYPE_IQ2_S);
|
|
return type == GGML_TYPE_IQ2_XXS ? 0 :
|
|
type == GGML_TYPE_IQ2_XS ? 1 :
|
|
type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M ? 2 : 3;
|
|
}
|
|
|
|
static inline int iq2_grid_size(enum ggml_type type) {
|
|
GGML_ASSERT(type == GGML_TYPE_IQ2_XXS || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M || type == GGML_TYPE_IQ2_S);
|
|
return type == GGML_TYPE_IQ2_XXS ? 256 :
|
|
type == GGML_TYPE_IQ2_XS ? 512 :
|
|
type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M ? NGRID_IQ1S : 1024;
|
|
}
|
|
|
|
static int iq2_compare_func(const void * left, const void * right) {
|
|
const int * l = (const int *)left;
|
|
const int * r = (const int *)right;
|
|
return l[0] < r[0] ? -1 : l[0] > r[0] ? 1 : l[1] < r[1] ? -1 : l[1] > r[1] ? 1 : 0;
|
|
}
|
|
|
|
void iq2xs_init_impl(enum ggml_type type) {
|
|
const int gindex = iq2_data_index(type);
|
|
const int grid_size = iq2_grid_size(type);
|
|
if (iq2_data[gindex].grid) {
|
|
return;
|
|
}
|
|
static const uint16_t kgrid_2bit_256[256] = {
|
|
0, 2, 5, 8, 10, 17, 20, 32, 34, 40, 42, 65, 68, 80, 88, 97,
|
|
100, 128, 130, 138, 162, 257, 260, 272, 277, 320, 388, 408, 512, 514, 546, 642,
|
|
1025, 1028, 1040, 1057, 1060, 1088, 1090, 1096, 1120, 1153, 1156, 1168, 1188, 1280, 1282, 1288,
|
|
1312, 1350, 1385, 1408, 1425, 1545, 1552, 1600, 1668, 1700, 2048, 2053, 2056, 2068, 2088, 2113,
|
|
2116, 2128, 2130, 2184, 2308, 2368, 2562, 2580, 4097, 4100, 4112, 4129, 4160, 4192, 4228, 4240,
|
|
4245, 4352, 4360, 4384, 4432, 4442, 4480, 4644, 4677, 5120, 5128, 5152, 5157, 5193, 5248, 5400,
|
|
5474, 5632, 5654, 6145, 6148, 6160, 6208, 6273, 6400, 6405, 6560, 6737, 8192, 8194, 8202, 8260,
|
|
8289, 8320, 8322, 8489, 8520, 8704, 8706, 9217, 9220, 9232, 9280, 9302, 9472, 9537, 9572, 9872,
|
|
10248, 10272, 10388, 10820, 16385, 16388, 16400, 16408, 16417, 16420, 16448, 16456, 16470, 16480, 16513, 16516,
|
|
16528, 16640, 16672, 16737, 16768, 16773, 16897, 16912, 16968, 16982, 17000, 17408, 17416, 17440, 17536, 17561,
|
|
17682, 17700, 17920, 18433, 18436, 18448, 18496, 18501, 18688, 18776, 18785, 18818, 19013, 19088, 20480, 20488,
|
|
20497, 20505, 20512, 20608, 20616, 20740, 20802, 20900, 21137, 21648, 21650, 21770, 22017, 22100, 22528, 22545,
|
|
22553, 22628, 22848, 23048, 24580, 24592, 24640, 24680, 24832, 24917, 25112, 25184, 25600, 25605, 25872, 25874,
|
|
25988, 26690, 32768, 32770, 32778, 32833, 32898, 33028, 33048, 33088, 33297, 33793, 33796, 33808, 33813, 33856,
|
|
33888, 34048, 34118, 34196, 34313, 34368, 34400, 34818, 35076, 35345, 36868, 36880, 36900, 36928, 37025, 37142,
|
|
37248, 37445, 37888, 37922, 37956, 38225, 39041, 39200, 40962, 41040, 41093, 41225, 41472, 42008, 43088, 43268,
|
|
};
|
|
static const uint16_t kgrid_2bit_512[512] = {
|
|
0, 2, 5, 8, 10, 17, 20, 22, 25, 32, 34, 37, 40, 65, 68, 70,
|
|
73, 80, 82, 85, 88, 97, 100, 128, 130, 133, 136, 145, 148, 153, 160, 257,
|
|
260, 262, 265, 272, 274, 277, 280, 282, 289, 292, 320, 322, 325, 328, 337, 340,
|
|
352, 360, 385, 388, 400, 512, 514, 517, 520, 529, 532, 544, 577, 580, 592, 597,
|
|
640, 650, 1025, 1028, 1030, 1033, 1040, 1042, 1045, 1048, 1057, 1060, 1088, 1090, 1093, 1096,
|
|
1105, 1108, 1110, 1120, 1153, 1156, 1168, 1280, 1282, 1285, 1288, 1297, 1300, 1312, 1345, 1348,
|
|
1360, 1377, 1408, 1537, 1540, 1552, 1574, 1600, 1602, 1668, 2048, 2050, 2053, 2056, 2058, 2065,
|
|
2068, 2080, 2085, 2113, 2116, 2128, 2136, 2176, 2208, 2218, 2305, 2308, 2320, 2368, 2433, 2441,
|
|
2560, 2592, 2600, 2710, 2720, 4097, 4100, 4102, 4105, 4112, 4114, 4117, 4120, 4129, 4132, 4160,
|
|
4162, 4165, 4168, 4177, 4180, 4192, 4202, 4225, 4228, 4240, 4352, 4354, 4357, 4360, 4369, 4372,
|
|
4384, 4417, 4420, 4432, 4480, 4500, 4502, 4609, 4612, 4614, 4624, 4672, 4704, 5120, 5122, 5125,
|
|
5128, 5137, 5140, 5152, 5185, 5188, 5193, 5200, 5220, 5248, 5377, 5380, 5392, 5440, 5632, 5652,
|
|
5705, 6145, 6148, 6160, 6162, 6208, 6228, 6278, 6400, 6405, 6502, 6737, 6825, 8192, 8194, 8197,
|
|
8200, 8202, 8209, 8212, 8224, 8257, 8260, 8272, 8320, 8352, 8449, 8452, 8464, 8512, 8520, 8549,
|
|
8704, 8738, 8832, 8872, 9217, 9220, 9232, 9257, 9280, 9472, 9537, 9554, 9625, 9729, 9754, 9894,
|
|
10240, 10248, 10250, 10272, 10325, 10376, 10402, 10600, 10640, 10760, 10784, 10882, 10888, 10890, 16385, 16388,
|
|
16390, 16393, 16400, 16402, 16405, 16408, 16417, 16420, 16448, 16450, 16453, 16456, 16458, 16465, 16468, 16480,
|
|
16485, 16513, 16516, 16528, 16640, 16642, 16645, 16648, 16657, 16660, 16672, 16705, 16708, 16720, 16768, 16773,
|
|
16802, 16897, 16900, 16912, 16914, 16937, 16960, 17408, 17410, 17413, 17416, 17425, 17428, 17433, 17440, 17473,
|
|
17476, 17488, 17536, 17556, 17665, 17668, 17680, 17700, 17728, 17818, 17920, 17930, 17988, 18000, 18433, 18436,
|
|
18448, 18496, 18501, 18516, 18530, 18688, 18705, 18756, 18768, 18793, 18948, 20480, 20482, 20485, 20488, 20497,
|
|
20500, 20512, 20520, 20545, 20548, 20560, 20608, 20737, 20740, 20752, 20757, 20800, 20802, 20992, 21060, 21162,
|
|
21505, 21508, 21520, 21537, 21568, 21600, 21633, 21665, 21760, 21768, 21888, 21896, 22049, 22120, 22177, 22528,
|
|
22548, 22593, 22608, 22681, 22810, 22848, 22850, 23173, 24577, 24580, 24592, 24640, 24660, 24674, 24710, 24745,
|
|
24832, 25124, 25162, 25234, 25600, 25622, 25872, 25920, 25925, 26020, 26625, 26730, 26917, 27142, 27220, 27234,
|
|
32768, 32770, 32773, 32776, 32785, 32788, 32800, 32810, 32833, 32836, 32848, 32896, 32898, 32936, 32938, 33025,
|
|
33028, 33030, 33040, 33088, 33105, 33113, 33280, 33312, 33408, 33410, 33440, 33448, 33793, 33796, 33808, 33810,
|
|
33813, 33856, 33888, 33929, 34048, 34116, 34213, 34328, 34410, 34816, 34824, 34853, 34906, 34944, 34946, 34984,
|
|
35078, 35362, 35456, 35464, 35478, 35496, 36865, 36868, 36880, 36928, 36950, 36996, 37120, 37154, 37220, 37462,
|
|
37513, 37888, 37893, 37956, 37968, 37976, 38185, 38288, 38290, 38465, 38993, 39078, 39241, 39445, 39520, 40960,
|
|
40962, 40968, 40970, 40992, 41002, 41120, 41297, 41305, 41382, 41472, 41474, 41480, 41514, 41600, 41632, 42048,
|
|
42133, 42597, 42648, 43018, 43040, 43042, 43048, 43168, 43176, 43268, 43396, 43398, 43560, 43562, 43665, 43690,
|
|
};
|
|
static const uint16_t kgrid_1bit_2048[NGRID_IQ1S] = {
|
|
0, 2, 5, 8, 10, 17, 21, 32, 34, 40, 42, 69, 81, 84, 86, 101,
|
|
128, 130, 136, 138, 149, 160, 162, 168, 170, 260, 261, 273, 276, 278, 281, 282,
|
|
293, 321, 326, 329, 338, 341, 346, 353, 356, 358, 360, 389, 401, 404, 406, 421,
|
|
512, 514, 520, 522, 533, 544, 546, 552, 554, 581, 593, 601, 612, 617, 640, 642,
|
|
648, 650, 657, 661, 665, 672, 674, 680, 682, 1041, 1044, 1046, 1061, 1089, 1097, 1109,
|
|
1114, 1124, 1125, 1169, 1177, 1189, 1281, 1284, 1285, 1286, 1301, 1304, 1306, 1321, 1344, 1349,
|
|
1354, 1360, 1361, 1364, 1365, 1366, 1369, 1376, 1378, 1381, 1384, 1386, 1409, 1425, 1429, 1432,
|
|
1434, 1441, 1444, 1445, 1446, 1449, 1556, 1561, 1601, 1604, 1616, 1618, 1621, 1624, 1632, 1633,
|
|
1638, 1641, 1669, 1681, 1684, 1689, 2048, 2050, 2056, 2058, 2069, 2080, 2082, 2088, 2090, 2117,
|
|
2129, 2134, 2149, 2176, 2178, 2184, 2186, 2197, 2208, 2210, 2216, 2218, 2309, 2321, 2324, 2329,
|
|
2340, 2341, 2369, 2384, 2385, 2389, 2401, 2404, 2409, 2449, 2452, 2454, 2457, 2469, 2560, 2562,
|
|
2568, 2570, 2581, 2592, 2594, 2600, 2602, 2629, 2641, 2649, 2657, 2661, 2688, 2690, 2693, 2696,
|
|
2698, 2709, 2720, 2722, 2728, 2730, 4112, 4113, 4116, 4121, 4132, 4133, 4161, 4164, 4176, 4181,
|
|
4184, 4193, 4196, 4197, 4201, 4241, 4244, 4246, 4257, 4261, 4353, 4356, 4358, 4361, 4368, 4370,
|
|
4373, 4376, 4385, 4388, 4393, 4421, 4426, 4432, 4433, 4434, 4436, 4437, 4438, 4441, 4448, 4453,
|
|
4484, 4498, 4501, 4513, 4516, 4625, 4628, 4630, 4645, 4672, 4678, 4681, 4690, 4693, 4696, 4698,
|
|
4708, 4710, 4741, 4753, 4756, 4758, 4773, 5121, 5126, 5129, 5140, 5141, 5144, 5145, 5153, 5158,
|
|
5185, 5189, 5190, 5192, 5194, 5201, 5204, 5205, 5206, 5209, 5218, 5221, 5224, 5252, 5257, 5264,
|
|
5268, 5269, 5272, 5273, 5274, 5281, 5284, 5285, 5289, 5378, 5381, 5386, 5393, 5396, 5397, 5398,
|
|
5401, 5408, 5410, 5413, 5416, 5418, 5441, 5444, 5445, 5446, 5457, 5458, 5460, 5461, 5462, 5465,
|
|
5466, 5473, 5476, 5477, 5478, 5481, 5504, 5506, 5508, 5509, 5512, 5514, 5520, 5521, 5524, 5525,
|
|
5526, 5529, 5530, 5536, 5538, 5541, 5633, 5636, 5637, 5638, 5653, 5654, 5656, 5658, 5665, 5670,
|
|
5696, 5698, 5700, 5701, 5704, 5706, 5713, 5717, 5718, 5720, 5721, 5729, 5732, 5733, 5736, 5737,
|
|
5738, 5766, 5770, 5778, 5781, 5796, 5801, 6161, 6166, 6181, 6209, 6212, 6214, 6217, 6224, 6229,
|
|
6232, 6234, 6240, 6241, 6244, 6246, 6249, 6277, 6289, 6292, 6309, 6416, 6418, 6421, 6426, 6433,
|
|
6437, 6466, 6468, 6469, 6472, 6481, 6484, 6485, 6486, 6489, 6490, 6496, 6501, 6506, 6537, 6545,
|
|
6546, 6549, 6552, 6561, 6566, 6569, 6665, 6678, 6692, 6694, 6724, 6726, 6729, 6736, 6738, 6741,
|
|
6744, 6753, 6758, 6761, 6789, 6801, 6806, 6810, 8192, 8194, 8200, 8202, 8213, 8224, 8226, 8229,
|
|
8232, 8234, 8261, 8273, 8281, 8289, 8293, 8320, 8322, 8328, 8330, 8341, 8352, 8354, 8357, 8360,
|
|
8362, 8453, 8465, 8468, 8473, 8485, 8514, 8516, 8521, 8533, 8536, 8538, 8545, 8548, 8549, 8550,
|
|
8581, 8592, 8598, 8601, 8613, 8705, 8712, 8714, 8721, 8725, 8736, 8738, 8744, 8746, 8773, 8785,
|
|
8790, 8793, 8805, 8833, 8840, 8842, 8849, 8853, 8864, 8866, 8872, 8874, 9221, 9236, 9238, 9241,
|
|
9253, 9284, 9285, 9286, 9289, 9298, 9301, 9304, 9306, 9318, 9349, 9361, 9364, 9369, 9377, 9381,
|
|
9481, 9493, 9505, 9513, 9536, 9541, 9544, 9553, 9556, 9557, 9561, 9570, 9573, 9576, 9609, 9616,
|
|
9620, 9621, 9624, 9626, 9633, 9636, 9638, 9641, 9733, 9744, 9746, 9753, 9765, 9793, 9801, 9813,
|
|
9824, 9825, 9833, 9860, 9862, 9872, 9882, 10240, 10242, 10248, 10250, 10261, 10272, 10274, 10280, 10282,
|
|
10309, 10321, 10324, 10341, 10368, 10370, 10376, 10378, 10400, 10402, 10408, 10410, 10505, 10513, 10516, 10521,
|
|
10533, 10566, 10569, 10578, 10581, 10593, 10596, 10598, 10601, 10629, 10640, 10646, 10649, 10660, 10661, 10752,
|
|
10754, 10760, 10762, 10784, 10786, 10792, 10794, 10821, 10833, 10838, 10841, 10853, 10880, 10882, 10888, 10890,
|
|
10901, 10912, 10914, 10920, 10922, 16389, 16401, 16406, 16421, 16457, 16466, 16469, 16472, 16474, 16481, 16484,
|
|
16486, 16532, 16537, 16545, 16550, 16640, 16641, 16644, 16646, 16649, 16658, 16661, 16662, 16664, 16666, 16673,
|
|
16678, 16681, 16709, 16712, 16714, 16721, 16724, 16725, 16726, 16729, 16730, 16741, 16744, 16746, 16769, 16772,
|
|
16774, 16784, 16786, 16789, 16800, 16801, 16802, 16901, 16913, 16916, 16918, 16933, 16961, 16978, 16981, 16986,
|
|
16996, 17001, 17033, 17044, 17061, 17409, 17429, 17433, 17449, 17477, 17480, 17482, 17489, 17492, 17493, 17494,
|
|
17505, 17506, 17509, 17512, 17514, 17537, 17542, 17545, 17552, 17554, 17557, 17568, 17569, 17577, 17665, 17666,
|
|
17669, 17674, 17681, 17684, 17685, 17686, 17689, 17696, 17701, 17706, 17729, 17732, 17733, 17734, 17737, 17744,
|
|
17745, 17748, 17749, 17750, 17752, 17753, 17761, 17764, 17765, 17766, 17769, 17794, 17796, 17797, 17800, 17809,
|
|
17812, 17813, 17814, 17817, 17818, 17829, 17832, 17834, 17921, 17925, 17929, 17940, 17941, 17944, 17946, 17953,
|
|
17956, 17961, 17984, 17986, 17989, 17992, 18000, 18001, 18002, 18005, 18006, 18009, 18018, 18021, 18024, 18049,
|
|
18053, 18058, 18068, 18069, 18081, 18084, 18086, 18437, 18449, 18453, 18458, 18469, 18498, 18505, 18512, 18517,
|
|
18520, 18529, 18532, 18534, 18537, 18565, 18577, 18580, 18582, 18585, 18597, 18689, 18693, 18694, 18698, 18704,
|
|
18708, 18709, 18712, 18721, 18724, 18726, 18752, 18757, 18762, 18769, 18770, 18772, 18773, 18774, 18777, 18784,
|
|
18786, 18789, 18790, 18794, 18822, 18825, 18834, 18837, 18838, 18840, 18849, 18852, 18854, 18857, 18966, 19012,
|
|
19014, 19017, 19029, 19032, 19034, 19044, 19049, 19092, 19109, 20481, 20484, 20485, 20486, 20489, 20498, 20501,
|
|
20506, 20513, 20516, 20521, 20544, 20549, 20552, 20561, 20564, 20565, 20566, 20569, 20581, 20584, 20614, 20617,
|
|
20629, 20632, 20640, 20641, 20646, 20649, 20741, 20744, 20745, 20746, 20753, 20756, 20757, 20758, 20760, 20761,
|
|
20768, 20773, 20774, 20776, 20778, 20801, 20804, 20805, 20806, 20809, 20816, 20817, 20818, 20820, 20821, 20822,
|
|
20824, 20825, 20826, 20833, 20836, 20837, 20838, 20841, 20866, 20869, 20881, 20884, 20885, 20886, 20889, 20896,
|
|
20901, 20906, 20993, 20998, 21010, 21013, 21018, 21025, 21028, 21058, 21061, 21066, 21073, 21076, 21077, 21078,
|
|
21081, 21090, 21093, 21125, 21136, 21138, 21141, 21145, 21146, 21156, 21508, 21509, 21521, 21524, 21525, 21526,
|
|
21528, 21529, 21537, 21541, 21544, 21546, 21569, 21572, 21573, 21574, 21577, 21578, 21584, 21585, 21588, 21589,
|
|
21590, 21592, 21593, 21594, 21601, 21602, 21604, 21605, 21606, 21609, 21632, 21640, 21642, 21649, 21652, 21653,
|
|
21654, 21657, 21665, 21668, 21669, 21674, 21761, 21762, 21764, 21765, 21766, 21769, 21776, 21777, 21778, 21780,
|
|
21781, 21782, 21785, 21786, 21793, 21796, 21797, 21798, 21801, 21824, 21825, 21826, 21828, 21829, 21830, 21832,
|
|
21833, 21840, 21841, 21842, 21844, 21845, 21846, 21848, 21849, 21850, 21856, 21857, 21860, 21861, 21862, 21864,
|
|
21865, 21866, 21889, 21892, 21893, 21897, 21898, 21904, 21905, 21908, 21909, 21910, 21912, 21913, 21921, 21924,
|
|
21925, 21926, 21929, 22016, 22017, 22018, 22020, 22022, 22024, 22025, 22033, 22036, 22037, 22040, 22041, 22048,
|
|
22049, 22050, 22052, 22053, 22054, 22056, 22057, 22081, 22085, 22086, 22088, 22089, 22090, 22096, 22097, 22098,
|
|
22100, 22101, 22102, 22104, 22105, 22106, 22113, 22116, 22117, 22121, 22146, 22149, 22150, 22152, 22153, 22154,
|
|
22161, 22165, 22170, 22178, 22181, 22182, 22184, 22185, 22532, 22533, 22534, 22537, 22544, 22549, 22552, 22561,
|
|
22570, 22597, 22600, 22602, 22609, 22612, 22613, 22614, 22616, 22617, 22624, 22626, 22628, 22629, 22658, 22665,
|
|
22672, 22674, 22677, 22680, 22689, 22697, 22785, 22786, 22789, 22794, 22801, 22804, 22805, 22806, 22809, 22821,
|
|
22849, 22852, 22853, 22854, 22857, 22864, 22865, 22866, 22868, 22869, 22870, 22872, 22873, 22874, 22881, 22884,
|
|
22885, 22886, 22889, 22913, 22917, 22921, 22929, 22932, 22933, 22934, 22936, 22937, 22949, 23044, 23048, 23061,
|
|
23066, 23072, 23077, 23078, 23081, 23109, 23112, 23113, 23121, 23125, 23126, 23128, 23129, 23138, 23141, 23144,
|
|
23146, 23169, 23178, 23186, 23189, 23190, 23192, 23194, 23201, 24581, 24596, 24598, 24601, 24613, 24644, 24656,
|
|
24661, 24662, 24664, 24666, 24673, 24676, 24678, 24681, 24705, 24726, 24741, 24833, 24836, 24838, 24841, 24850,
|
|
24853, 24865, 24866, 24870, 24873, 24901, 24905, 24913, 24917, 24918, 24921, 24933, 24934, 24938, 24964, 24970,
|
|
24978, 24981, 24993, 24998, 25001, 25105, 25110, 25113, 25152, 25153, 25158, 25173, 25174, 25176, 25184, 25221,
|
|
25233, 25238, 25253, 25617, 25618, 25621, 25622, 25626, 25633, 25638, 25641, 25664, 25666, 25669, 25672, 25674,
|
|
25681, 25684, 25685, 25686, 25689, 25690, 25696, 25698, 25701, 25732, 25733, 25737, 25744, 25746, 25748, 25749,
|
|
25750, 25752, 25754, 25761, 25764, 25769, 25861, 25864, 25866, 25873, 25877, 25878, 25881, 25924, 25925, 25926,
|
|
25929, 25936, 25937, 25940, 25941, 25942, 25945, 25953, 25956, 25957, 25958, 25961, 25990, 25993, 25994, 26001,
|
|
26005, 26006, 26009, 26010, 26018, 26021, 26022, 26024, 26114, 26121, 26133, 26144, 26150, 26152, 26153, 26176,
|
|
26181, 26184, 26186, 26193, 26196, 26197, 26198, 26200, 26202, 26208, 26213, 26216, 26240, 26242, 26245, 26250,
|
|
26260, 26262, 26264, 26265, 26272, 26276, 26278, 26282, 26646, 26649, 26661, 26689, 26706, 26709, 26714, 26721,
|
|
26729, 26757, 26769, 26776, 26790, 26881, 26884, 26896, 26901, 26913, 26916, 26918, 26921, 26944, 26945, 26949,
|
|
26950, 26952, 26961, 26964, 26965, 26966, 26969, 26976, 26981, 26986, 27010, 27012, 27018, 27029, 27041, 27044,
|
|
27045, 27049, 27153, 27158, 27160, 27201, 27204, 27209, 27216, 27221, 27224, 27226, 27236, 27237, 27241, 27270,
|
|
27284, 27288, 27290, 27302, 32768, 32770, 32776, 32778, 32800, 32802, 32808, 32810, 32837, 32848, 32849, 32852,
|
|
32854, 32857, 32869, 32896, 32898, 32904, 32906, 32917, 32928, 32930, 32936, 32938, 33029, 33041, 33044, 33046,
|
|
33049, 33061, 33089, 33092, 33097, 33104, 33106, 33109, 33110, 33112, 33113, 33124, 33126, 33129, 33157, 33161,
|
|
33172, 33174, 33177, 33189, 33280, 33282, 33288, 33290, 33301, 33312, 33314, 33320, 33322, 33361, 33364, 33369,
|
|
33381, 33408, 33410, 33416, 33418, 33429, 33440, 33442, 33448, 33450, 33812, 33817, 33857, 33860, 33873, 33877,
|
|
33882, 33889, 33892, 33897, 33940, 33945, 34049, 34057, 34066, 34069, 34074, 34086, 34089, 34112, 34113, 34117,
|
|
34120, 34129, 34132, 34133, 34134, 34137, 34138, 34149, 34150, 34152, 34154, 34177, 34180, 34182, 34185, 34192,
|
|
34194, 34197, 34200, 34214, 34321, 34326, 34329, 34341, 34369, 34372, 34377, 34378, 34384, 34389, 34393, 34394,
|
|
34401, 34406, 34410, 34437, 34449, 34458, 34468, 34816, 34818, 34824, 34826, 34837, 34848, 34850, 34856, 34858,
|
|
34881, 34885, 34897, 34900, 34905, 34917, 34921, 34944, 34946, 34952, 34954, 34965, 34976, 34978, 34984, 34986,
|
|
35077, 35078, 35089, 35092, 35094, 35109, 35137, 35140, 35142, 35145, 35152, 35154, 35157, 35162, 35169, 35172,
|
|
35205, 35222, 35225, 35237, 35328, 35330, 35336, 35338, 35349, 35360, 35362, 35368, 35370, 35397, 35409, 35412,
|
|
35414, 35456, 35458, 35464, 35466, 35477, 35488, 35490, 35496, 35498, 36869, 36881, 36886, 36888, 36889, 36901,
|
|
36929, 36934, 36937, 36949, 36952, 36954, 36969, 36970, 36997, 37009, 37012, 37014, 37017, 37029, 37121, 37124,
|
|
37126, 37129, 37136, 37141, 37144, 37146, 37153, 37156, 37158, 37161, 37184, 37189, 37200, 37201, 37204, 37205,
|
|
37206, 37209, 37218, 37221, 37252, 37254, 37266, 37269, 37272, 37281, 37284, 37286, 37289, 37381, 37393, 37396,
|
|
37401, 37413, 37444, 37446, 37449, 37456, 37458, 37461, 37464, 37478, 37481, 37509, 37524, 37526, 37545, 37889,
|
|
37892, 37894, 37904, 37909, 37912, 37926, 37952, 37962, 37969, 37972, 37973, 37974, 37976, 37977, 37984, 37985,
|
|
37986, 37989, 38020, 38022, 38034, 38036, 38037, 38040, 38049, 38057, 38144, 38149, 38152, 38154, 38160, 38161,
|
|
38164, 38165, 38166, 38169, 38177, 38181, 38185, 38186, 38209, 38212, 38213, 38214, 38217, 38224, 38225, 38226,
|
|
38228, 38229, 38230, 38232, 38233, 38234, 38241, 38244, 38245, 38246, 38249, 38273, 38277, 38280, 38289, 38290,
|
|
38292, 38293, 38294, 38297, 38298, 38304, 38306, 38309, 38312, 38314, 38401, 38404, 38416, 38421, 38425, 38432,
|
|
38438, 38441, 38469, 38472, 38473, 38481, 38482, 38485, 38486, 38489, 38501, 38504, 38530, 38532, 38537, 38538,
|
|
38546, 38548, 38549, 38564, 38566, 38569, 38917, 38934, 38937, 38949, 38977, 38982, 38992, 38994, 38997, 38998,
|
|
39002, 39012, 39013, 39045, 39057, 39062, 39065, 39077, 39172, 39174, 39177, 39184, 39186, 39189, 39192, 39194,
|
|
39200, 39201, 39204, 39206, 39232, 39234, 39237, 39240, 39242, 39249, 39252, 39253, 39254, 39257, 39266, 39269,
|
|
39270, 39274, 39297, 39300, 39312, 39314, 39317, 39322, 39329, 39334, 39429, 39445, 39461, 39492, 39494, 39497,
|
|
39504, 39509, 39512, 39521, 39557, 39569, 39572, 39573, 39574, 40960, 40962, 40968, 40970, 40981, 40992, 40994,
|
|
41000, 41002, 41029, 41041, 41044, 41046, 41049, 41088, 41090, 41096, 41098, 41109, 41120, 41122, 41128, 41130,
|
|
41221, 41225, 41233, 41236, 41238, 41241, 41242, 41286, 41289, 41297, 41301, 41304, 41306, 41313, 41316, 41349,
|
|
41360, 41362, 41366, 41369, 41474, 41480, 41482, 41488, 41497, 41506, 41512, 41514, 41541, 41553, 41558, 41561,
|
|
41573, 41600, 41602, 41608, 41610, 41621, 41632, 41634, 41640, 41642, 42009, 42021, 42049, 42052, 42064, 42068,
|
|
42069, 42072, 42074, 42081, 42085, 42086, 42088, 42089, 42117, 42246, 42249, 42256, 42258, 42261, 42264, 42278,
|
|
42281, 42306, 42309, 42321, 42324, 42325, 42326, 42329, 42341, 42346, 42369, 42372, 42373, 42374, 42377, 42386,
|
|
42389, 42392, 42501, 42513, 42518, 42522, 42529, 42533, 42564, 42566, 42570, 42578, 42581, 42582, 42584, 42592,
|
|
42594, 42630, 42640, 42645, 42646, 42649, 42657, 42660, 42662, 43008, 43010, 43016, 43018, 43040, 43042, 43048,
|
|
43050, 43089, 43092, 43094, 43097, 43136, 43138, 43144, 43146, 43157, 43168, 43170, 43176, 43178, 43269, 43284,
|
|
43289, 43297, 43301, 43329, 43344, 43349, 43354, 43361, 43366, 43369, 43408, 43414, 43520, 43522, 43528, 43530,
|
|
43552, 43554, 43560, 43562, 43601, 43604, 43606, 43648, 43650, 43656, 43658, 43669, 43680, 43682, 43688, 43690,
|
|
};
|
|
static const uint16_t kgrid_2bit_1024[1024] = {
|
|
0, 2, 5, 8, 10, 17, 20, 22, 25, 32, 34, 37, 40, 65, 68, 70,
|
|
73, 80, 82, 85, 88, 97, 100, 102, 105, 128, 130, 133, 136, 145, 148, 160,
|
|
165, 170, 257, 260, 262, 265, 272, 274, 277, 280, 289, 292, 320, 322, 325, 328,
|
|
337, 340, 342, 345, 352, 357, 360, 385, 388, 400, 402, 405, 417, 420, 512, 514,
|
|
517, 520, 529, 532, 544, 554, 577, 580, 582, 585, 592, 597, 640, 645, 650, 660,
|
|
674, 1025, 1028, 1030, 1033, 1040, 1042, 1045, 1048, 1057, 1060, 1062, 1065, 1088, 1090, 1093,
|
|
1096, 1098, 1105, 1108, 1110, 1113, 1120, 1122, 1125, 1153, 1156, 1158, 1161, 1168, 1173, 1176,
|
|
1185, 1188, 1280, 1282, 1285, 1288, 1290, 1297, 1300, 1302, 1305, 1312, 1317, 1320, 1345, 1348,
|
|
1350, 1353, 1360, 1362, 1365, 1368, 1377, 1380, 1408, 1410, 1413, 1416, 1425, 1428, 1440, 1537,
|
|
1540, 1542, 1545, 1552, 1557, 1600, 1605, 1608, 1617, 1620, 1632, 1665, 1668, 1680, 2048, 2050,
|
|
2053, 2056, 2065, 2068, 2070, 2073, 2080, 2085, 2090, 2113, 2116, 2118, 2121, 2128, 2130, 2133,
|
|
2136, 2145, 2148, 2176, 2181, 2196, 2218, 2305, 2308, 2320, 2322, 2325, 2328, 2337, 2368, 2373,
|
|
2376, 2385, 2388, 2400, 2433, 2448, 2560, 2577, 2580, 2594, 2600, 2602, 2640, 2713, 4097, 4100,
|
|
4102, 4105, 4112, 4114, 4117, 4120, 4129, 4132, 4134, 4160, 4162, 4165, 4168, 4177, 4180, 4182,
|
|
4185, 4192, 4194, 4197, 4200, 4225, 4228, 4230, 4240, 4245, 4248, 4257, 4260, 4352, 4354, 4357,
|
|
4360, 4362, 4369, 4372, 4374, 4377, 4384, 4386, 4389, 4392, 4417, 4420, 4422, 4425, 4432, 4434,
|
|
4437, 4440, 4449, 4452, 4480, 4482, 4485, 4488, 4497, 4500, 4609, 4612, 4617, 4624, 4629, 4641,
|
|
4644, 4672, 4677, 4689, 4692, 4737, 4740, 4752, 5120, 5122, 5125, 5128, 5137, 5140, 5142, 5145,
|
|
5152, 5157, 5160, 5185, 5188, 5190, 5193, 5200, 5202, 5205, 5208, 5217, 5220, 5248, 5250, 5253,
|
|
5256, 5265, 5268, 5280, 5377, 5380, 5382, 5385, 5392, 5394, 5397, 5400, 5409, 5412, 5440, 5442,
|
|
5445, 5448, 5457, 5460, 5472, 5505, 5508, 5520, 5632, 5637, 5640, 5649, 5652, 5664, 5697, 5700,
|
|
5712, 5760, 5802, 6145, 6148, 6150, 6153, 6160, 6165, 6168, 6177, 6208, 6210, 6213, 6216, 6225,
|
|
6228, 6240, 6273, 6276, 6400, 6402, 6405, 6408, 6417, 6420, 6432, 6465, 6468, 6480, 6505, 6562,
|
|
6660, 6672, 6720, 6742, 8192, 8194, 8197, 8200, 8209, 8212, 8214, 8217, 8224, 8229, 8234, 8257,
|
|
8260, 8272, 8274, 8277, 8292, 8320, 8330, 8340, 8362, 8449, 8452, 8464, 8466, 8469, 8481, 8512,
|
|
8514, 8517, 8529, 8532, 8544, 8577, 8580, 8592, 8704, 8714, 8738, 8744, 8746, 8772, 8784, 8840,
|
|
8842, 8872, 9217, 9220, 9222, 9225, 9232, 9237, 9240, 9249, 9252, 9280, 9282, 9285, 9288, 9297,
|
|
9300, 9312, 9345, 9348, 9360, 9472, 9477, 9480, 9489, 9492, 9504, 9537, 9540, 9552, 9574, 9600,
|
|
9729, 9732, 9744, 9792, 9817, 10240, 10245, 10257, 10260, 10305, 10308, 10320, 10378, 10410, 10497, 10500,
|
|
10512, 10645, 10762, 10786, 10852, 10888, 10890, 16385, 16388, 16390, 16393, 16400, 16402, 16405, 16408, 16410,
|
|
16417, 16420, 16422, 16448, 16450, 16453, 16456, 16458, 16465, 16468, 16470, 16473, 16480, 16482, 16485, 16513,
|
|
16516, 16528, 16533, 16536, 16545, 16548, 16640, 16642, 16645, 16648, 16657, 16660, 16662, 16665, 16672, 16674,
|
|
16677, 16705, 16708, 16710, 16713, 16720, 16722, 16725, 16728, 16737, 16740, 16768, 16770, 16773, 16776, 16785,
|
|
16788, 16800, 16897, 16900, 16912, 16914, 16917, 16920, 16932, 16960, 16965, 16968, 16977, 16980, 16992, 17025,
|
|
17028, 17408, 17410, 17413, 17416, 17418, 17425, 17428, 17430, 17433, 17440, 17442, 17445, 17448, 17473, 17476,
|
|
17478, 17481, 17488, 17490, 17493, 17496, 17505, 17508, 17536, 17538, 17541, 17544, 17553, 17556, 17568, 17665,
|
|
17668, 17670, 17673, 17680, 17682, 17685, 17688, 17697, 17700, 17728, 17730, 17733, 17736, 17745, 17748, 17760,
|
|
17770, 17793, 17796, 17808, 17920, 17922, 17925, 17928, 17937, 17940, 17952, 17985, 17988, 18000, 18048, 18085,
|
|
18433, 18436, 18441, 18448, 18450, 18453, 18456, 18465, 18468, 18496, 18498, 18501, 18504, 18513, 18516, 18528,
|
|
18564, 18576, 18688, 18690, 18693, 18696, 18705, 18708, 18720, 18753, 18756, 18768, 18816, 18838, 18945, 18948,
|
|
18960, 19008, 20480, 20482, 20485, 20488, 20497, 20500, 20502, 20505, 20512, 20514, 20517, 20520, 20545, 20548,
|
|
20550, 20553, 20560, 20562, 20565, 20568, 20577, 20580, 20608, 20610, 20613, 20616, 20625, 20628, 20737, 20740,
|
|
20742, 20745, 20752, 20754, 20757, 20760, 20769, 20772, 20800, 20802, 20805, 20808, 20817, 20820, 20832, 20865,
|
|
20868, 20880, 20992, 20997, 21000, 21009, 21012, 21024, 21057, 21060, 21072, 21097, 21120, 21505, 21508, 21510,
|
|
21513, 21520, 21522, 21525, 21528, 21537, 21540, 21568, 21570, 21573, 21576, 21585, 21588, 21600, 21633, 21636,
|
|
21648, 21760, 21762, 21765, 21768, 21777, 21780, 21792, 21825, 21828, 21840, 21888, 22017, 22020, 22032, 22054,
|
|
22080, 22528, 22530, 22533, 22536, 22545, 22548, 22560, 22593, 22596, 22608, 22618, 22656, 22785, 22788, 22800,
|
|
22848, 23040, 23065, 23173, 23208, 24577, 24580, 24582, 24592, 24594, 24597, 24600, 24609, 24612, 24640, 24645,
|
|
24648, 24657, 24660, 24672, 24708, 24720, 24832, 24834, 24837, 24840, 24849, 24852, 24864, 24897, 24900, 24912,
|
|
24960, 24985, 25092, 25104, 25152, 25174, 25249, 25600, 25605, 25608, 25617, 25620, 25632, 25665, 25668, 25680,
|
|
25728, 25857, 25860, 25872, 25920, 25930, 25960, 26002, 26112, 26260, 26625, 26628, 26640, 26725, 26776, 26880,
|
|
26922, 27202, 27297, 32768, 32770, 32773, 32776, 32785, 32788, 32793, 32800, 32805, 32833, 32836, 32848, 32850,
|
|
32853, 32856, 32865, 32896, 32901, 32913, 32916, 33025, 33028, 33033, 33040, 33042, 33045, 33048, 33057, 33060,
|
|
33088, 33090, 33093, 33096, 33105, 33108, 33153, 33156, 33168, 33193, 33280, 33285, 33290, 33297, 33300, 33345,
|
|
33348, 33360, 33793, 33796, 33798, 33801, 33808, 33810, 33813, 33816, 33825, 33856, 33858, 33861, 33864, 33873,
|
|
33876, 33888, 33921, 33924, 33936, 34048, 34050, 34053, 34056, 34065, 34068, 34080, 34113, 34116, 34128, 34176,
|
|
34186, 34305, 34308, 34320, 34345, 34368, 34816, 34821, 34833, 34836, 34881, 34884, 34896, 34978, 35073, 35076,
|
|
35136, 35173, 35362, 35416, 35418, 35458, 35490, 36865, 36868, 36873, 36880, 36882, 36885, 36888, 36900, 36928,
|
|
36930, 36933, 36936, 36945, 36948, 36960, 36993, 36996, 37008, 37120, 37125, 37137, 37140, 37185, 37188, 37200,
|
|
37210, 37377, 37380, 37392, 37440, 37542, 37888, 37890, 37893, 37896, 37905, 37908, 37920, 37953, 37956, 37968,
|
|
38016, 38038, 38145, 38148, 38160, 38208, 38296, 38305, 38400, 38470, 38500, 38913, 38916, 38928, 38950, 38976,
|
|
39081, 39168, 39241, 39250, 39568, 40960, 40965, 40970, 40980, 40994, 41002, 41025, 41028, 41040, 41122, 41130,
|
|
41280, 41317, 41474, 41482, 41506, 41512, 41514, 41602, 41608, 41610, 41640, 41985, 41988, 42000, 42048, 42121,
|
|
42148, 42240, 42265, 42577, 43018, 43048, 43170, 43348, 43398, 43528, 43530, 43552, 43554, 43560, 43656, 43690,
|
|
};
|
|
|
|
const int kmap_size = 43692;
|
|
//const int nwant = type == GGML_TYPE_IQ1_S ? 3 : 2;
|
|
const int nwant = type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M ? 3 : type == GGML_TYPE_IQ2_S ? 1 : 2;
|
|
const uint16_t * kgrid = type == GGML_TYPE_IQ2_XXS ? kgrid_2bit_256 :
|
|
type == GGML_TYPE_IQ2_XS ? kgrid_2bit_512 :
|
|
type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M ? kgrid_1bit_2048 : kgrid_2bit_1024;
|
|
uint64_t * kgrid_q2xs;
|
|
int * kmap_q2xs;
|
|
uint16_t * kneighbors_q2xs;
|
|
|
|
//printf("================================================================= %s(grid_size = %d)\n", __func__, grid_size);
|
|
uint64_t * the_grid = (uint64_t *)malloc(grid_size*sizeof(uint64_t));
|
|
for (int k = 0; k < grid_size; ++k) {
|
|
int8_t * pos = (int8_t *)(the_grid + k);
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = (kgrid[k] >> 2*i) & 0x3;
|
|
pos[i] = 2*l + 1;
|
|
}
|
|
}
|
|
kgrid_q2xs = the_grid;
|
|
iq2_data[gindex].grid = the_grid;
|
|
kmap_q2xs = (int *)malloc(kmap_size*sizeof(int));
|
|
iq2_data[gindex].map = kmap_q2xs;
|
|
for (int i = 0; i < kmap_size; ++i) kmap_q2xs[i] = -1;
|
|
uint64_t aux64;
|
|
uint8_t * aux8 = (uint8_t *)&aux64;
|
|
for (int i = 0; i < grid_size; ++i) {
|
|
aux64 = kgrid_q2xs[i];
|
|
uint16_t index = 0;
|
|
for (int k=0; k<8; ++k) {
|
|
uint16_t q = (aux8[k] - 1)/2;
|
|
index |= (q << 2*k);
|
|
}
|
|
kmap_q2xs[index] = i;
|
|
}
|
|
int8_t pos[8];
|
|
int * dist2 = (int *)malloc(2*grid_size*sizeof(int));
|
|
int num_neighbors = 0, num_not_in_map = 0;
|
|
for (int i = 0; i < kmap_size; ++i) {
|
|
if (kmap_q2xs[i] >= 0) continue;
|
|
++num_not_in_map;
|
|
for (int k = 0; k < 8; ++k) {
|
|
int l = (i >> 2*k) & 0x3;
|
|
pos[k] = 2*l + 1;
|
|
}
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + j);
|
|
int d2 = 0;
|
|
for (int k = 0; k < 8; ++k) d2 += (pg[k] - pos[k])*(pg[k] - pos[k]);
|
|
dist2[2*j+0] = d2;
|
|
dist2[2*j+1] = j;
|
|
}
|
|
qsort(dist2, grid_size, 2*sizeof(int), iq2_compare_func);
|
|
int n = 0; int d2 = dist2[0];
|
|
int nhave = 1;
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
if (dist2[2*j] > d2) {
|
|
if (nhave == nwant) break;
|
|
d2 = dist2[2*j];
|
|
++nhave;
|
|
}
|
|
++n;
|
|
}
|
|
num_neighbors += n;
|
|
}
|
|
//printf("%s: %d neighbours in total\n", __func__, num_neighbors);
|
|
kneighbors_q2xs = (uint16_t *)malloc((num_neighbors + num_not_in_map)*sizeof(uint16_t));
|
|
iq2_data[gindex].neighbours = kneighbors_q2xs;
|
|
int counter = 0;
|
|
for (int i = 0; i < kmap_size; ++i) {
|
|
if (kmap_q2xs[i] >= 0) continue;
|
|
for (int k = 0; k < 8; ++k) {
|
|
int l = (i >> 2*k) & 0x3;
|
|
pos[k] = 2*l + 1;
|
|
}
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + j);
|
|
int d2 = 0;
|
|
for (int k = 0; k < 8; ++k) d2 += (pg[k] - pos[k])*(pg[k] - pos[k]);
|
|
dist2[2*j+0] = d2;
|
|
dist2[2*j+1] = j;
|
|
}
|
|
qsort(dist2, grid_size, 2*sizeof(int), iq2_compare_func);
|
|
kmap_q2xs[i] = -(counter + 1);
|
|
int d2 = dist2[0];
|
|
uint16_t * start = &kneighbors_q2xs[counter++];
|
|
int n = 0, nhave = 1;
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
if (dist2[2*j] > d2) {
|
|
if (nhave == nwant) break;
|
|
d2 = dist2[2*j];
|
|
++nhave;
|
|
}
|
|
kneighbors_q2xs[counter++] = dist2[2*j+1];
|
|
++n;
|
|
}
|
|
*start = n;
|
|
}
|
|
free(dist2);
|
|
}
|
|
|
|
void iq2xs_free_impl(enum ggml_type type) {
|
|
GGML_ASSERT(type == GGML_TYPE_IQ2_XXS || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ1_S || type == GGML_TYPE_IQ1_M || type == GGML_TYPE_IQ2_S);
|
|
const int gindex = iq2_data_index(type);
|
|
if (iq2_data[gindex].grid) {
|
|
free(iq2_data[gindex].grid); iq2_data[gindex].grid = NULL;
|
|
free(iq2_data[gindex].map); iq2_data[gindex].map = NULL;
|
|
free(iq2_data[gindex].neighbours); iq2_data[gindex].neighbours = NULL;
|
|
}
|
|
}
|
|
|
|
static int iq2_find_best_neighbour(const uint16_t * restrict neighbours, const uint64_t * restrict grid,
|
|
const float * restrict xval, const float * restrict weight, float scale, int8_t * restrict L) {
|
|
int num_neighbors = neighbours[0];
|
|
GGML_ASSERT(num_neighbors > 0);
|
|
float best_d2 = FLT_MAX;
|
|
int grid_index = -1;
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float d2 = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
float q = pg[i];
|
|
float diff = scale*q - xval[i];
|
|
d2 += weight[i]*diff*diff;
|
|
}
|
|
if (d2 < best_d2) {
|
|
best_d2 = d2; grid_index = neighbours[j];
|
|
}
|
|
}
|
|
GGML_ASSERT(grid_index >= 0);
|
|
const int8_t * pg = (const int8_t *)(grid + grid_index);
|
|
for (int i = 0; i < 8; ++i) L[i] = (pg[i] - 1)/2;
|
|
return grid_index;
|
|
}
|
|
|
|
static void quantize_row_iq2_xxs_impl(const float * restrict x, void * restrict vy, int64_t n, const float * restrict quant_weights) {
|
|
|
|
const int gindex = iq2_data_index(GGML_TYPE_IQ2_XXS);
|
|
|
|
const uint64_t * kgrid_q2xs = iq2_data[gindex].grid;
|
|
const int * kmap_q2xs = iq2_data[gindex].map;
|
|
const uint16_t * kneighbors_q2xs = iq2_data[gindex].neighbours;
|
|
|
|
GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kgrid_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kmap_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
const int kMaxQ = 3;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
block_iq2_xxs * y = vy;
|
|
|
|
float scales[QK_K/32];
|
|
float weight[32];
|
|
float xval[32];
|
|
int8_t L[32];
|
|
int8_t Laux[32];
|
|
float waux[32];
|
|
uint8_t block_signs[4];
|
|
uint32_t q2[2*(QK_K/32)];
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
memset(q2, 0, QK_K/4);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
const float * xb = xbl + 32*ib;
|
|
const float * qw = quant_weights + QK_K*ibl + 32*ib;
|
|
for (int i = 0; i < 32; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
for (int i = 0; i < 32; ++i) waux[i] = sqrtf(weight[i]);
|
|
for (int k = 0; k < 4; ++k) {
|
|
int nflip = 0;
|
|
uint8_t s = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
if (xb[8*k + i] >= 0) xval[8*k + i] = xb[8*k + i];
|
|
else {
|
|
xval[8*k + i] = -xb[8*k + i]; ++nflip; s |= (1 << i);
|
|
}
|
|
}
|
|
if (nflip%2) {
|
|
int imin = 0; float min = weight[8*k+imin]*xb[8*k+imin]*xb[8*k+imin];
|
|
for (int i = 1; i < 8; ++i) {
|
|
float ax = weight[8*k+i]*xb[8*k+i]*xb[8*k+i];
|
|
if (ax < min) {
|
|
min = ax; imin = i;
|
|
}
|
|
}
|
|
xval[8*k+imin] = -xval[8*k+imin];
|
|
s ^= (1 << imin);
|
|
}
|
|
block_signs[k] = s & 127;
|
|
}
|
|
float max = xval[0];
|
|
for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]);
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
memset(L, 0, 32);
|
|
continue;
|
|
}
|
|
float scale = make_qp_quants(32, kMaxQ+1, xval, (uint8_t*)L, weight);
|
|
float eff_max = scale*kMaxQ;
|
|
float best = 0;
|
|
for (int is = -6; is <= 6; ++is) {
|
|
float id = (2*kMaxQ-1+is*0.1f)/eff_max;
|
|
float this_scale = 1/id;
|
|
for (int k = 0; k < 4; ++k) {
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
Laux[8*k+i] = MAX(0, MIN(kMaxQ-1, l));
|
|
}
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (Laux[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, this_scale, Laux + 8*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 32; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*Laux[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
scale = sumqx/sumq2; best = scale*sumqx;
|
|
memcpy(L, Laux, 32);
|
|
}
|
|
}
|
|
if (scale > 0) {
|
|
float id = 1/scale;
|
|
for (int k = 0; k < 4; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
l = MAX(0, MIN(kMaxQ-1, l));
|
|
u |= (l << 2*i);
|
|
}
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, scale, L + 8*k);
|
|
}
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + grid_index);
|
|
for (int i = 0; i < 8; ++i) L[8*k+i] = (pg[i] - 1)/2;
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 32; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*L[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
if (scale < 0) {
|
|
// This should never happen, but just in case, flip scale so that it is positive (we use uint's to encode the scale)
|
|
// and correspondingly flip quant signs.
|
|
scale = -scale;
|
|
for (int k = 0; k < 4; ++k) block_signs[k] = (~block_signs[k]) & 127;
|
|
}
|
|
for (int k = 0; k < 4; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (L[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
printf("Oops: found point %u not on grid:", u);
|
|
for (int i = 0; i < 8; ++i) printf(" %d", L[8*k+i]);
|
|
printf("\n");
|
|
GGML_ASSERT(false);
|
|
}
|
|
q2[2*ib+0] |= (grid_index << 8*k);
|
|
q2[2*ib+1] |= (block_signs[k] << 7*k);
|
|
}
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
memset(y[ibl].qs, 0, QK_K/4);
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/31;
|
|
y[ibl].d = GGML_FP32_TO_FP16(d);
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib]-1));
|
|
l = MAX(0, MIN(15, l));
|
|
q2[2*ib+1] |= ((uint32_t)l << 28);
|
|
}
|
|
memcpy(y[ibl].qs, q2, QK_K/4);
|
|
}
|
|
}
|
|
|
|
static void quantize_row_iq2_xs_impl(const float * restrict x, void * restrict vy, int64_t n, const float * restrict quant_weights) {
|
|
|
|
const int gindex = iq2_data_index(GGML_TYPE_IQ2_XS);
|
|
|
|
const uint64_t * kgrid_q2xs = iq2_data[gindex].grid;
|
|
const int * kmap_q2xs = iq2_data[gindex].map;
|
|
const uint16_t * kneighbors_q2xs = iq2_data[gindex].neighbours;
|
|
|
|
GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kmap_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kgrid_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
const int kMaxQ = 3;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
block_iq2_xs * y = vy;
|
|
|
|
float scales[QK_K/16];
|
|
float weight[16];
|
|
float xval[16];
|
|
int8_t L[16];
|
|
int8_t Laux[16];
|
|
float waux[16];
|
|
bool is_on_grid[2];
|
|
bool is_on_grid_aux[2];
|
|
uint8_t block_signs[2];
|
|
uint16_t q2[2*(QK_K/16)];
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
memset(q2, 0, QK_K/4);
|
|
memset(y[ibl].scales, 0, QK_K/32);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
const float * xb = xbl + 16*ib;
|
|
const float * qw = quant_weights + QK_K*ibl + 16*ib;
|
|
for (int i = 0; i < 16; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
for (int i = 0; i < 16; ++i) waux[i] = sqrtf(weight[i]);
|
|
for (int k = 0; k < 2; ++k) {
|
|
int nflip = 0;
|
|
uint8_t s = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
if (xb[8*k + i] >= 0) xval[8*k + i] = xb[8*k + i];
|
|
else {
|
|
xval[8*k + i] = -xb[8*k + i]; ++nflip; s |= (1 << i);
|
|
}
|
|
}
|
|
if (nflip%2) {
|
|
int imin = 0; float min = weight[8*k+imin]*xb[8*k+imin]*xb[8*k+imin];
|
|
for (int i = 1; i < 8; ++i) {
|
|
float ax = weight[8*k+i]*xb[8*k+i]*xb[8*k+i];
|
|
if (ax < min) {
|
|
min = ax; imin = i;
|
|
}
|
|
}
|
|
xval[8*k+imin] = -xval[8*k+imin];
|
|
s ^= (1 << imin);
|
|
}
|
|
block_signs[k] = s & 127;
|
|
}
|
|
float max = xval[0];
|
|
for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
memset(L, 0, 16);
|
|
continue;
|
|
}
|
|
float best = 0;
|
|
float scale = max/(2*kMaxQ-1);
|
|
is_on_grid[0] = is_on_grid[1] = true;
|
|
for (int is = -9; is <= 9; ++is) {
|
|
float id = (2*kMaxQ-1+is*0.1f)/max;
|
|
float this_scale = 1/id;
|
|
for (int k = 0; k < 2; ++k) {
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
Laux[8*k+i] = MAX(0, MIN(kMaxQ-1, l));
|
|
}
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (Laux[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
is_on_grid_aux[k] = true;
|
|
if (grid_index < 0) {
|
|
is_on_grid_aux[k] = false;
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, this_scale, Laux + 8*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 16; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*Laux[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
scale = sumqx/sumq2; best = scale*sumqx;
|
|
for (int i = 0; i < 16; ++i) L[i] = Laux[i];
|
|
for (int k = 0; k < 2; ++k) is_on_grid[k] = is_on_grid_aux[k];
|
|
}
|
|
}
|
|
int n_not_ongrid = 0;
|
|
for (int k = 0; k < 2; ++k) if (!is_on_grid[k]) ++n_not_ongrid;
|
|
if (n_not_ongrid > 0 && scale > 0) {
|
|
float id = 1/scale;
|
|
for (int k = 0; k < 2; ++k) {
|
|
if (is_on_grid[k]) continue;
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
l = MAX(0, MIN(kMaxQ-1, l));
|
|
u |= (l << 2*i);
|
|
L[8*k + i] = l;
|
|
}
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, scale, L + 8*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 16; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*L[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
if (scale < 0) {
|
|
scale = -scale;
|
|
for (int k = 0; k < 2; ++k) block_signs[k] = (~block_signs[k]) & 127;
|
|
}
|
|
for (int k = 0; k < 2; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (L[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
printf("Oops: found point %u not on grid:", u);
|
|
for (int i = 0; i < 8; ++i) printf(" %d", L[8*k+i]);
|
|
printf("\n");
|
|
GGML_ASSERT(false);
|
|
}
|
|
q2[2*ib+k] = grid_index | (block_signs[k] << 9);
|
|
}
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
memset(y[ibl].qs, 0, QK_K/4);
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/31;
|
|
y[ibl].d = GGML_FP32_TO_FP16(d);
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib]-1));
|
|
l = MAX(0, MIN(15, l));
|
|
if (ib%2 == 0) y[ibl].scales[ib/2] = l;
|
|
else y[ibl].scales[ib/2] |= (l << 4);
|
|
}
|
|
memcpy(y[ibl].qs, q2, QK_K/4);
|
|
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq2_xxs(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq2_xxs_impl(src, qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq2_xxs);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq2_xxs);
|
|
}
|
|
|
|
size_t quantize_iq2_xs(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq2_xs_impl(src, qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq2_xs);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq2_xs);
|
|
}
|
|
|
|
//
|
|
// ============================================= 3-bit using D4 lattice
|
|
//
|
|
|
|
typedef struct {
|
|
uint32_t * grid;
|
|
int * map;
|
|
uint16_t * neighbours;
|
|
} iq3_entry_t;
|
|
|
|
static iq3_entry_t iq3_data[2] = {
|
|
{NULL, NULL, NULL},
|
|
{NULL, NULL, NULL},
|
|
};
|
|
|
|
static inline int iq3_data_index(int grid_size) {
|
|
(void)grid_size;
|
|
GGML_ASSERT(grid_size == 256 || grid_size == 512);
|
|
return grid_size == 256 ? 0 : 1;
|
|
}
|
|
|
|
static int iq3_compare_func(const void * left, const void * right) {
|
|
const int * l = (const int *)left;
|
|
const int * r = (const int *)right;
|
|
return l[0] < r[0] ? -1 : l[0] > r[0] ? 1 : l[1] < r[1] ? -1 : l[1] > r[1] ? 1 : 0;
|
|
}
|
|
|
|
void iq3xs_init_impl(int grid_size) {
|
|
const int gindex = iq3_data_index(grid_size);
|
|
if (iq3_data[gindex].grid) {
|
|
return;
|
|
}
|
|
static const uint16_t kgrid_256[256] = {
|
|
0, 2, 4, 9, 11, 15, 16, 18, 25, 34, 59, 61, 65, 67, 72, 74,
|
|
81, 85, 88, 90, 97, 108, 120, 128, 130, 132, 137, 144, 146, 153, 155, 159,
|
|
169, 175, 189, 193, 199, 200, 202, 213, 248, 267, 287, 292, 303, 315, 317, 321,
|
|
327, 346, 362, 413, 436, 456, 460, 462, 483, 497, 513, 515, 520, 522, 529, 531,
|
|
536, 538, 540, 551, 552, 576, 578, 585, 592, 594, 641, 643, 648, 650, 657, 664,
|
|
698, 704, 706, 720, 729, 742, 758, 769, 773, 808, 848, 852, 870, 889, 901, 978,
|
|
992, 1024, 1026, 1033, 1035, 1040, 1042, 1046, 1049, 1058, 1089, 1091, 1093, 1096, 1098, 1105,
|
|
1112, 1139, 1143, 1144, 1152, 1154, 1161, 1167, 1168, 1170, 1183, 1184, 1197, 1217, 1224, 1228,
|
|
1272, 1276, 1309, 1323, 1347, 1367, 1377, 1404, 1473, 1475, 1486, 1509, 1537, 1544, 1546, 1553,
|
|
1555, 1576, 1589, 1594, 1600, 1602, 1616, 1625, 1636, 1638, 1665, 1667, 1672, 1685, 1706, 1722,
|
|
1737, 1755, 1816, 1831, 1850, 1856, 1862, 1874, 1901, 1932, 1950, 1971, 2011, 2032, 2052, 2063,
|
|
2077, 2079, 2091, 2095, 2172, 2192, 2207, 2208, 2224, 2230, 2247, 2277, 2308, 2345, 2356, 2389,
|
|
2403, 2424, 2501, 2504, 2506, 2520, 2570, 2593, 2616, 2624, 2630, 2646, 2669, 2700, 2714, 2746,
|
|
2754, 2795, 2824, 2835, 2839, 2874, 2882, 2905, 2984, 3028, 3042, 3092, 3108, 3110, 3124, 3153,
|
|
3185, 3215, 3252, 3288, 3294, 3364, 3397, 3434, 3483, 3523, 3537, 3587, 3589, 3591, 3592, 3610,
|
|
3626, 3670, 3680, 3722, 3749, 3754, 3776, 3789, 3803, 3824, 3857, 3873, 3904, 3906, 3924, 3992,
|
|
};
|
|
static const uint16_t kgrid_512[512] = {
|
|
0, 1, 2, 5, 7, 8, 9, 10, 12, 14, 16, 17, 21, 27, 32, 34,
|
|
37, 39, 41, 43, 48, 50, 57, 60, 63, 64, 65, 66, 68, 72, 73, 77,
|
|
80, 83, 87, 89, 93, 100, 113, 117, 122, 128, 129, 133, 135, 136, 139, 142,
|
|
145, 149, 152, 156, 162, 165, 167, 169, 171, 184, 187, 195, 201, 205, 208, 210,
|
|
217, 219, 222, 228, 232, 234, 247, 249, 253, 256, 267, 271, 273, 276, 282, 288,
|
|
291, 297, 312, 322, 324, 336, 338, 342, 347, 353, 357, 359, 374, 379, 390, 393,
|
|
395, 409, 426, 441, 448, 450, 452, 464, 466, 470, 475, 488, 492, 512, 513, 514,
|
|
516, 520, 521, 523, 525, 527, 528, 530, 537, 540, 542, 556, 558, 561, 570, 576,
|
|
577, 579, 582, 584, 588, 593, 600, 603, 609, 616, 618, 632, 638, 640, 650, 653,
|
|
655, 656, 660, 666, 672, 675, 685, 688, 698, 705, 708, 711, 712, 715, 721, 727,
|
|
728, 732, 737, 754, 760, 771, 773, 778, 780, 793, 795, 802, 806, 808, 812, 833,
|
|
840, 843, 849, 856, 858, 873, 912, 916, 919, 932, 934, 961, 963, 968, 970, 977,
|
|
989, 993, 1010, 1016, 1024, 1025, 1027, 1029, 1031, 1032, 1034, 1036, 1038, 1041, 1043, 1047,
|
|
1048, 1050, 1057, 1059, 1061, 1064, 1066, 1079, 1080, 1083, 1085, 1088, 1090, 1096, 1099, 1103,
|
|
1106, 1109, 1113, 1116, 1122, 1129, 1153, 1156, 1159, 1169, 1171, 1176, 1183, 1185, 1195, 1199,
|
|
1209, 1212, 1216, 1218, 1221, 1225, 1234, 1236, 1241, 1243, 1250, 1256, 1270, 1281, 1287, 1296,
|
|
1299, 1306, 1309, 1313, 1338, 1341, 1348, 1353, 1362, 1375, 1376, 1387, 1400, 1408, 1410, 1415,
|
|
1425, 1453, 1457, 1477, 1481, 1494, 1496, 1507, 1512, 1538, 1545, 1547, 1549, 1551, 1554, 1561,
|
|
1563, 1565, 1570, 1572, 1575, 1577, 1587, 1593, 1601, 1603, 1605, 1612, 1617, 1619, 1632, 1648,
|
|
1658, 1662, 1664, 1674, 1680, 1690, 1692, 1704, 1729, 1736, 1740, 1745, 1747, 1751, 1752, 1761,
|
|
1763, 1767, 1773, 1787, 1795, 1801, 1806, 1810, 1817, 1834, 1840, 1844, 1857, 1864, 1866, 1877,
|
|
1882, 1892, 1902, 1915, 1934, 1953, 1985, 1987, 2000, 2002, 2013, 2048, 2052, 2058, 2064, 2068,
|
|
2071, 2074, 2081, 2088, 2104, 2114, 2119, 2121, 2123, 2130, 2136, 2141, 2147, 2153, 2157, 2177,
|
|
2179, 2184, 2189, 2193, 2203, 2208, 2223, 2226, 2232, 2244, 2249, 2251, 2256, 2258, 2265, 2269,
|
|
2304, 2306, 2324, 2335, 2336, 2361, 2373, 2375, 2385, 2418, 2443, 2460, 2480, 2504, 2509, 2520,
|
|
2531, 2537, 2562, 2568, 2572, 2578, 2592, 2596, 2599, 2602, 2614, 2620, 2625, 2627, 2629, 2634,
|
|
2641, 2650, 2682, 2688, 2697, 2707, 2712, 2718, 2731, 2754, 2759, 2760, 2775, 2788, 2793, 2805,
|
|
2811, 2817, 2820, 2832, 2842, 2854, 2890, 2902, 2921, 2923, 2978, 3010, 3012, 3026, 3081, 3083,
|
|
3085, 3097, 3099, 3120, 3136, 3152, 3159, 3188, 3210, 3228, 3234, 3245, 3250, 3256, 3264, 3276,
|
|
3281, 3296, 3349, 3363, 3378, 3392, 3395, 3420, 3440, 3461, 3488, 3529, 3531, 3584, 3588, 3591,
|
|
3600, 3602, 3614, 3616, 3628, 3634, 3650, 3657, 3668, 3683, 3685, 3713, 3716, 3720, 3726, 3729,
|
|
3736, 3753, 3778, 3802, 3805, 3819, 3841, 3845, 3851, 3856, 3880, 3922, 3938, 3970, 3993, 4032,
|
|
};
|
|
|
|
const int kmap_size = 4096;
|
|
const int nwant = grid_size == 256 ? 2 : 3;
|
|
const uint16_t * kgrid = grid_size == 256 ? kgrid_256 : kgrid_512;
|
|
uint32_t * kgrid_q3xs;
|
|
int * kmap_q3xs;
|
|
uint16_t * kneighbors_q3xs;
|
|
|
|
//printf("================================================================= %s(grid_size = %d)\n", __func__, grid_size);
|
|
uint32_t * the_grid = (uint32_t *)malloc(grid_size*sizeof(uint32_t));
|
|
for (int k = 0; k < grid_size; ++k) {
|
|
int8_t * pos = (int8_t *)(the_grid + k);
|
|
for (int i = 0; i < 4; ++i) {
|
|
int l = (kgrid[k] >> 3*i) & 0x7;
|
|
pos[i] = 2*l + 1;
|
|
}
|
|
}
|
|
kgrid_q3xs = the_grid;
|
|
iq3_data[gindex].grid = the_grid;
|
|
kmap_q3xs = (int *)malloc(kmap_size*sizeof(int));
|
|
iq3_data[gindex].map = kmap_q3xs;
|
|
for (int i = 0; i < kmap_size; ++i) kmap_q3xs[i] = -1;
|
|
uint32_t aux32;
|
|
uint8_t * aux8 = (uint8_t *)&aux32;
|
|
for (int i = 0; i < grid_size; ++i) {
|
|
aux32 = kgrid_q3xs[i];
|
|
uint16_t index = 0;
|
|
for (int k=0; k<4; ++k) {
|
|
uint16_t q = (aux8[k] - 1)/2;
|
|
index |= (q << 3*k);
|
|
}
|
|
kmap_q3xs[index] = i;
|
|
}
|
|
int8_t pos[4];
|
|
int * dist2 = (int *)malloc(2*grid_size*sizeof(int));
|
|
int num_neighbors = 0, num_not_in_map = 0;
|
|
for (int i = 0; i < kmap_size; ++i) {
|
|
if (kmap_q3xs[i] >= 0) continue;
|
|
++num_not_in_map;
|
|
for (int k = 0; k < 4; ++k) {
|
|
int l = (i >> 3*k) & 0x7;
|
|
pos[k] = 2*l + 1;
|
|
}
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
const int8_t * pg = (const int8_t *)(kgrid_q3xs + j);
|
|
int d2 = 0;
|
|
for (int k = 0; k < 4; ++k) d2 += (pg[k] - pos[k])*(pg[k] - pos[k]);
|
|
dist2[2*j+0] = d2;
|
|
dist2[2*j+1] = j;
|
|
}
|
|
qsort(dist2, grid_size, 2*sizeof(int), iq3_compare_func);
|
|
int n = 0; int d2 = dist2[0];
|
|
int nhave = 1;
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
if (dist2[2*j] > d2) {
|
|
if (nhave == nwant) break;
|
|
d2 = dist2[2*j];
|
|
++nhave;
|
|
}
|
|
++n;
|
|
}
|
|
num_neighbors += n;
|
|
}
|
|
//printf("%s: %d neighbours in total\n", __func__, num_neighbors);
|
|
kneighbors_q3xs = (uint16_t *)malloc((num_neighbors + num_not_in_map)*sizeof(uint16_t));
|
|
iq3_data[gindex].neighbours = kneighbors_q3xs;
|
|
int counter = 0;
|
|
for (int i = 0; i < kmap_size; ++i) {
|
|
if (kmap_q3xs[i] >= 0) continue;
|
|
for (int k = 0; k < 4; ++k) {
|
|
int l = (i >> 3*k) & 0x7;
|
|
pos[k] = 2*l + 1;
|
|
}
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
const int8_t * pg = (const int8_t *)(kgrid_q3xs + j);
|
|
int d2 = 0;
|
|
for (int k = 0; k < 4; ++k) d2 += (pg[k] - pos[k])*(pg[k] - pos[k]);
|
|
dist2[2*j+0] = d2;
|
|
dist2[2*j+1] = j;
|
|
}
|
|
qsort(dist2, grid_size, 2*sizeof(int), iq3_compare_func);
|
|
kmap_q3xs[i] = -(counter + 1);
|
|
int d2 = dist2[0];
|
|
uint16_t * start = &kneighbors_q3xs[counter++];
|
|
int n = 0, nhave = 1;
|
|
for (int j = 0; j < grid_size; ++j) {
|
|
if (dist2[2*j] > d2) {
|
|
if (nhave == nwant) break;
|
|
d2 = dist2[2*j];
|
|
++nhave;
|
|
}
|
|
kneighbors_q3xs[counter++] = dist2[2*j+1];
|
|
++n;
|
|
}
|
|
*start = n;
|
|
}
|
|
free(dist2);
|
|
}
|
|
|
|
void iq3xs_free_impl(int grid_size) {
|
|
GGML_ASSERT(grid_size == 256 || grid_size == 512);
|
|
const int gindex = iq3_data_index(grid_size);
|
|
if (iq3_data[gindex].grid) {
|
|
free(iq3_data[gindex].grid); iq3_data[gindex].grid = NULL;
|
|
free(iq3_data[gindex].map); iq3_data[gindex].map = NULL;
|
|
free(iq3_data[gindex].neighbours); iq3_data[gindex].neighbours = NULL;
|
|
}
|
|
}
|
|
|
|
static int iq3_find_best_neighbour(const uint16_t * restrict neighbours, const uint32_t * restrict grid,
|
|
const float * restrict xval, const float * restrict weight, float scale, int8_t * restrict L) {
|
|
int num_neighbors = neighbours[0];
|
|
GGML_ASSERT(num_neighbors > 0);
|
|
float best_d2 = FLT_MAX;
|
|
int grid_index = -1;
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float d2 = 0;
|
|
for (int i = 0; i < 4; ++i) {
|
|
float q = pg[i];
|
|
float diff = scale*q - xval[i];
|
|
d2 += weight[i]*diff*diff;
|
|
}
|
|
if (d2 < best_d2) {
|
|
best_d2 = d2; grid_index = neighbours[j];
|
|
}
|
|
}
|
|
GGML_ASSERT(grid_index >= 0);
|
|
const int8_t * pg = (const int8_t *)(grid + grid_index);
|
|
for (int i = 0; i < 4; ++i) L[i] = (pg[i] - 1)/2;
|
|
return grid_index;
|
|
}
|
|
|
|
static void quantize_row_iq3_xxs_impl(int grid_size, const float * restrict x, void * restrict vy, int64_t n,
|
|
const float * restrict quant_weights) {
|
|
|
|
const int gindex = iq3_data_index(grid_size);
|
|
|
|
const uint32_t * kgrid_q3xs = iq3_data[gindex].grid;
|
|
const int * kmap_q3xs = iq3_data[gindex].map;
|
|
const uint16_t * kneighbors_q3xs = iq3_data[gindex].neighbours;
|
|
|
|
//GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kgrid_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kmap_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
const int kMaxQ = 8;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
ggml_fp16_t * dh;
|
|
uint8_t * qs;
|
|
int block_size;
|
|
if (grid_size == 256) {
|
|
block_iq3_xxs * y = vy;
|
|
dh = &y->d;
|
|
qs = y->qs;
|
|
block_size = sizeof(block_iq3_xxs);
|
|
} else {
|
|
block_iq3_s * y = vy;
|
|
dh = &y->d;
|
|
qs = y->qs;
|
|
block_size = sizeof(block_iq3_s);
|
|
}
|
|
int quant_size = block_size - sizeof(ggml_fp16_t);
|
|
|
|
float scales[QK_K/32];
|
|
float weight[32];
|
|
float xval[32];
|
|
int8_t L[32];
|
|
int8_t Laux[32];
|
|
float waux[32];
|
|
bool is_on_grid[8];
|
|
bool is_on_grid_aux[8];
|
|
uint8_t block_signs[8];
|
|
uint8_t q3[3*(QK_K/8)+QK_K/32];
|
|
uint32_t * scales_and_signs = (uint32_t *)(q3 + QK_K/4);
|
|
uint8_t * qh = q3 + 3*(QK_K/8);
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
dh[0] = GGML_FP32_TO_FP16(0.f);
|
|
memset(q3, 0, 3*QK_K/8+QK_K/32);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
const float * xb = xbl + 32*ib;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*ibl + 32*ib;
|
|
for (int i = 0; i < 32; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
} else {
|
|
for (int i = 0; i < 32; ++i) weight[i] = xb[i]*xb[i];
|
|
}
|
|
for (int i = 0; i < 32; ++i) waux[i] = sqrtf(weight[i]);
|
|
for (int k = 0; k < 4; ++k) {
|
|
int nflip = 0;
|
|
uint8_t s = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
if (xb[8*k + i] >= 0) xval[8*k + i] = xb[8*k + i];
|
|
else {
|
|
xval[8*k + i] = -xb[8*k + i]; ++nflip; s |= (1 << i);
|
|
}
|
|
}
|
|
if (nflip%2) {
|
|
int imin = 0; float min = weight[8*k+imin]*xb[8*k+imin]*xb[8*k+imin];
|
|
for (int i = 1; i < 8; ++i) {
|
|
float ax = weight[8*k+i]*xb[8*k+i]*xb[8*k+i];
|
|
if (ax < min) {
|
|
min = ax; imin = i;
|
|
}
|
|
}
|
|
xval[8*k+imin] = -xval[8*k+imin];
|
|
s ^= (1 << imin);
|
|
}
|
|
block_signs[k] = s & 127;
|
|
}
|
|
float max = xval[0];
|
|
for (int i = 1; i < 32; ++i) max = MAX(max, xval[i]);
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
memset(L, 0, 32);
|
|
continue;
|
|
}
|
|
float best = 0;
|
|
float scale = max/(2*kMaxQ-1);
|
|
for (int is = -15; is <= 15; ++is) {
|
|
float id = (2*kMaxQ-1+is*0.2f)/max;
|
|
float this_scale = 1/id;
|
|
for (int k = 0; k < 8; ++k) {
|
|
for (int i = 0; i < 4; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[4*k+i]-1));
|
|
Laux[4*k+i] = MAX(0, MIN(kMaxQ-1, l));
|
|
}
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) u |= (Laux[4*k+i] << 3*i);
|
|
int grid_index = kmap_q3xs[u];
|
|
is_on_grid_aux[k] = true;
|
|
if (grid_index < 0) {
|
|
is_on_grid_aux[k] = false;
|
|
const uint16_t * neighbours = kneighbors_q3xs - kmap_q3xs[u] - 1;
|
|
grid_index = iq3_find_best_neighbour(neighbours, kgrid_q3xs, xval + 4*k, waux + 4*k, this_scale, Laux + 4*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 32; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*Laux[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
scale = sumqx/sumq2; best = scale*sumqx;
|
|
for (int i = 0; i < 32; ++i) L[i] = Laux[i];
|
|
for (int k = 0; k < 8; ++k) is_on_grid[k] = is_on_grid_aux[k];
|
|
}
|
|
}
|
|
int n_not_ongrid = 0;
|
|
for (int k = 0; k < 8; ++k) if (!is_on_grid[k]) ++n_not_ongrid;
|
|
if (n_not_ongrid > 0 && scale > 0) {
|
|
float id = 1/scale;
|
|
for (int k = 0; k < 8; ++k) {
|
|
if (is_on_grid[k]) continue;
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[4*k+i]-1));
|
|
l = MAX(0, MIN(kMaxQ-1, l));
|
|
u |= (l << 3*i);
|
|
}
|
|
int grid_index = kmap_q3xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q3xs - kmap_q3xs[u] - 1;
|
|
grid_index = iq3_find_best_neighbour(neighbours, kgrid_q3xs, xval + 4*k, waux + 4*k, scale, L + 4*k);
|
|
}
|
|
const int8_t * pg = (const int8_t *)(kgrid_q3xs + grid_index);
|
|
for (int i = 0; i < 4; ++i) L[4*k+i] = (pg[i] - 1)/2;
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 32; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*L[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
if (scale < 0) {
|
|
// This should never happen, but just in case, flip scale so that it is positive (we use uint's to encode the scale)
|
|
// and correspondingly flip quant signs.
|
|
scale = -scale;
|
|
for (int k = 0; k < 4; ++k) block_signs[k] = (~block_signs[k]) & 127;
|
|
}
|
|
for (int k = 0; k < 8; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) u |= (L[4*k+i] << 3*i);
|
|
int grid_index = kmap_q3xs[u];
|
|
if (grid_index < 0) {
|
|
printf("Oops: found point %u not on grid:", u);
|
|
for (int i = 0; i < 4; ++i) printf(" %d", L[4*k+i]);
|
|
printf("\n");
|
|
GGML_ASSERT(false);
|
|
}
|
|
if (grid_size == 256) {
|
|
q3[8*ib+k] = grid_index;
|
|
} else {
|
|
q3[8*ib+k] = grid_index & 255;
|
|
qh[ib] |= ((grid_index >> 8) << k);
|
|
}
|
|
|
|
}
|
|
scales_and_signs[ib] = block_signs[0] | (block_signs[1] << 7) | (block_signs[2] << 14) | (block_signs[3] << 21);
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
memset(qs, 0, quant_size);
|
|
dh += block_size/sizeof(ggml_fp16_t);
|
|
qs += block_size;
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/31;
|
|
dh[0] = GGML_FP32_TO_FP16(d * 1.0125f); // small improvement via this fudge factor
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/32; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib]-1));
|
|
l = MAX(0, MIN(15, l));
|
|
scales_and_signs[ib] |= ((uint32_t)l << 28);
|
|
}
|
|
memcpy(qs, q3, quant_size);
|
|
|
|
dh += block_size/sizeof(ggml_fp16_t);
|
|
qs += block_size;
|
|
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq3_xxs(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq3_xxs_impl(256, src, qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq3_xxs);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq3_xxs);
|
|
}
|
|
|
|
void quantize_row_iq3_xxs(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_iq3_xxs * restrict y = vy;
|
|
quantize_row_iq3_xxs_reference(x, y, k);
|
|
}
|
|
|
|
void quantize_row_iq3_xxs_reference(const float * restrict x, block_iq3_xxs * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
quantize_row_iq3_xxs_impl(256, x, y, k, NULL);
|
|
}
|
|
|
|
static void quantize_row_iq3_s_impl(int block_size, const float * restrict x, void * restrict vy, int n,
|
|
const float * restrict quant_weights,
|
|
float * scales,
|
|
float * weight,
|
|
float * xval,
|
|
int8_t * L,
|
|
int8_t * Laux,
|
|
float * waux,
|
|
bool * is_on_grid,
|
|
bool * is_on_grid_aux,
|
|
uint8_t * block_signs) {
|
|
|
|
const int gindex = iq3_data_index(512);
|
|
|
|
const uint32_t * kgrid_q3xs = iq3_data[gindex].grid;
|
|
const int * kmap_q3xs = iq3_data[gindex].map;
|
|
const uint16_t * kneighbors_q3xs = iq3_data[gindex].neighbours;
|
|
|
|
//GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kgrid_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kmap_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q3xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
const int kMaxQ = 8;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
block_iq3_s * y = vy;
|
|
|
|
const int bs4 = block_size/4;
|
|
const int bs8 = block_size/8;
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
memset(&y[ibl], 0, sizeof(block_iq3_s));
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
|
|
uint8_t * qs = y[ibl].qs;
|
|
uint8_t * qh = y[ibl].qh;
|
|
uint8_t * signs = y[ibl].signs;
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/block_size; ++ib) {
|
|
const float * xb = xbl + block_size*ib;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*ibl + block_size*ib;
|
|
for (int i = 0; i < block_size; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
} else {
|
|
for (int i = 0; i < block_size; ++i) weight[i] = xb[i]*xb[i];
|
|
}
|
|
for (int i = 0; i < block_size; ++i) waux[i] = sqrtf(weight[i]);
|
|
for (int k = 0; k < bs8; ++k) {
|
|
uint8_t s = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
if (xb[8*k + i] >= 0) xval[8*k + i] = xb[8*k + i];
|
|
else {
|
|
xval[8*k + i] = -xb[8*k + i]; s |= (1 << i);
|
|
}
|
|
}
|
|
block_signs[k] = s;
|
|
}
|
|
float max = xval[0];
|
|
for (int i = 1; i < block_size; ++i) max = MAX(max, xval[i]);
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
continue;
|
|
}
|
|
float best = 0;
|
|
float scale = max/(2*kMaxQ-1);
|
|
for (int k = 0; k < bs4; ++k) is_on_grid[k] = false;
|
|
for (int is = -9; is <= 9; ++is) {
|
|
float id = (2*kMaxQ-1+is*0.2f)/max;
|
|
float this_scale = 1/id;
|
|
for (int k = 0; k < bs4; ++k) {
|
|
for (int i = 0; i < 4; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[4*k+i]-1));
|
|
Laux[4*k+i] = MAX(0, MIN(kMaxQ-1, l));
|
|
}
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) u |= (Laux[4*k+i] << 3*i);
|
|
int grid_index = kmap_q3xs[u];
|
|
is_on_grid_aux[k] = true;
|
|
if (grid_index < 0) {
|
|
is_on_grid_aux[k] = false;
|
|
const uint16_t * neighbours = kneighbors_q3xs - kmap_q3xs[u] - 1;
|
|
grid_index = iq3_find_best_neighbour(neighbours, kgrid_q3xs, xval + 4*k, waux + 4*k, this_scale, Laux + 4*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < block_size; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*Laux[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
scale = sumqx/sumq2; best = scale*sumqx;
|
|
for (int i = 0; i < block_size; ++i) L[i] = Laux[i];
|
|
for (int k = 0; k < bs4; ++k) is_on_grid[k] = is_on_grid_aux[k];
|
|
}
|
|
}
|
|
int n_not_ongrid = 0;
|
|
for (int k = 0; k < bs4; ++k) if (!is_on_grid[k]) ++n_not_ongrid;
|
|
if (n_not_ongrid > 0 && scale > 0) {
|
|
float id = 1/scale;
|
|
for (int k = 0; k < bs4; ++k) {
|
|
//if (is_on_grid[k]) continue;
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[4*k+i]-1));
|
|
l = MAX(0, MIN(kMaxQ-1, l));
|
|
u |= (l << 3*i);
|
|
}
|
|
int grid_index = kmap_q3xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q3xs - kmap_q3xs[u] - 1;
|
|
grid_index = iq3_find_best_neighbour(neighbours, kgrid_q3xs, xval + 4*k, waux + 4*k, scale, L + 4*k);
|
|
}
|
|
const int8_t * pg = (const int8_t *)(kgrid_q3xs + grid_index);
|
|
for (int i = 0; i < 4; ++i) L[4*k+i] = (pg[i] - 1)/2;
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < block_size; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*L[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
if (scale < 0) {
|
|
// This should never happen, but just in case, flip scale so that it is positive (we use uint's to encode the scale)
|
|
// and correspondingly flip quant signs.
|
|
scale = -scale;
|
|
for (int k = 0; k < bs8; ++k) block_signs[k] = ~block_signs[k];
|
|
}
|
|
for (int k = 0; k < bs4; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 4; ++i) u |= (L[4*k+i] << 3*i);
|
|
int grid_index = kmap_q3xs[u];
|
|
if (grid_index < 0) {
|
|
printf("Oops: found point %u not on grid:", u);
|
|
for (int i = 0; i < 4; ++i) printf(" %d", L[4*k+i]);
|
|
printf("\n");
|
|
GGML_ASSERT(false);
|
|
}
|
|
qs[k] = grid_index & 255;
|
|
qh[(ib*bs4+k)/8] |= ((grid_index >> 8) << ((ib*bs4+k)%8));
|
|
}
|
|
qs += bs4;
|
|
for (int k = 0; k < bs8; ++k) signs[k] = block_signs[k];
|
|
signs += bs8;
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/31;
|
|
y[ibl].d = GGML_FP32_TO_FP16(d * 1.033f);
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/block_size; ib += 2) {
|
|
int l1 = nearest_int(0.5f*(id*scales[ib+0]-1));
|
|
l1 = MAX(0, MIN(15, l1));
|
|
int l2 = nearest_int(0.5f*(id*scales[ib+1]-1));
|
|
l2 = MAX(0, MIN(15, l2));
|
|
y[ibl].scales[ib/2] = l1 | (l2 << 4);
|
|
}
|
|
|
|
}
|
|
}
|
|
|
|
#define IQ3S_BLOCK_SIZE 32
|
|
size_t quantize_iq3_s(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
float scales[QK_K/IQ3S_BLOCK_SIZE];
|
|
float weight[IQ3S_BLOCK_SIZE];
|
|
float xval[IQ3S_BLOCK_SIZE];
|
|
int8_t L[IQ3S_BLOCK_SIZE];
|
|
int8_t Laux[IQ3S_BLOCK_SIZE];
|
|
float waux[IQ3S_BLOCK_SIZE];
|
|
bool is_on_grid[IQ3S_BLOCK_SIZE/4];
|
|
bool is_on_grid_aux[IQ3S_BLOCK_SIZE/4];
|
|
uint8_t block_signs[IQ3S_BLOCK_SIZE/8];
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq3_s_impl(IQ3S_BLOCK_SIZE, src, qrow, n_per_row, quant_weights,
|
|
scales, weight, xval, L, Laux, waux, is_on_grid, is_on_grid_aux, block_signs);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq3_s);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq3_s);
|
|
}
|
|
|
|
void quantize_row_iq3_s(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_iq3_s * restrict y = vy;
|
|
quantize_row_iq3_s_reference(x, y, k);
|
|
}
|
|
|
|
void quantize_row_iq3_s_reference(const float * restrict x, block_iq3_s * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
quantize_iq3_s(x, y, 1, k, NULL);
|
|
}
|
|
|
|
|
|
// =================================== 1.5 bpw ===================================================
|
|
|
|
static int iq1_find_best_neighbour(const uint16_t * restrict neighbours, const uint64_t * restrict grid,
|
|
const float * restrict xval, const float * restrict weight, float * scale, int8_t * restrict L, int ngrid) {
|
|
int num_neighbors = neighbours[0];
|
|
GGML_ASSERT(num_neighbors > 0);
|
|
float best_score = 0;
|
|
int grid_index = -1;
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
float q = (pg[i] - 3)/2;
|
|
float w = weight[i];
|
|
sumqx += w*q*xval[i];
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumqx > 0 && sumq2 > 0 && sumqx*sumqx > best_score*sumq2) {
|
|
*scale = sumqx/sumq2; best_score = *scale * sumqx;
|
|
grid_index = neighbours[j];
|
|
}
|
|
}
|
|
if (grid_index < 0) {
|
|
for (int i = 0; i < ngrid; ++i) {
|
|
const int8_t * grid_i = (const int8_t *)(grid + i);
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int j = 0; j < 8; ++j) {
|
|
float w = weight[j];
|
|
float q = (grid_i[j] - 3)/2;
|
|
sumqx += w*q*xval[j];
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumqx > 0 && sumq2 > 0 && sumqx*sumqx > best_score*sumq2) {
|
|
*scale = sumqx/sumq2; best_score = *scale*sumqx;
|
|
grid_index = i;
|
|
}
|
|
}
|
|
}
|
|
if (grid_index < 0) {
|
|
printf("Oops, did not find grid point\n");
|
|
printf("Have %d neighbours\n", num_neighbors);
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
float q = (pg[i] - 3)/2;
|
|
float w = weight[i];
|
|
sumqx += w*q*xval[i];
|
|
sumq2 += w*q*q;
|
|
}
|
|
printf(" neighbour %d: sumqx = %g sumq2 = %g\n", j, (double)sumqx, (double)sumq2);
|
|
}
|
|
}
|
|
GGML_ASSERT(grid_index >= 0);
|
|
//!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
|
|
*scale *= 1.05f; // This is a fudge factor. Don't ask me why it improves the result.
|
|
//!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
|
|
const int8_t * pg = (const int8_t *)(grid + grid_index);
|
|
for (int i = 0; i < 8; ++i) L[i] = (pg[i] - 1)/2;
|
|
return grid_index;
|
|
}
|
|
|
|
static int iq1_find_best_neighbour2(const uint16_t * restrict neighbours, const uint64_t * restrict grid,
|
|
const float * restrict xval, const float * restrict weight, float scale, const float * restrict xg, int8_t * restrict L, int ngrid) {
|
|
int num_neighbors = neighbours[0];
|
|
GGML_ASSERT(num_neighbors > 0);
|
|
float best_score = FLT_MAX;
|
|
int grid_index = -1;
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float d2 = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
float q = xg[(pg[i] - 1)/2];
|
|
float w = weight[i];
|
|
float diff = scale*q - xval[i];
|
|
d2 += w*diff*diff;
|
|
}
|
|
if (d2 < best_score) {
|
|
best_score = d2;
|
|
grid_index = neighbours[j];
|
|
}
|
|
}
|
|
if (grid_index < 0) {
|
|
for (int i = 0; i < ngrid; ++i) {
|
|
const int8_t * grid_i = (const int8_t *)(grid + i);
|
|
float d2 = 0;
|
|
for (int j = 0; j < 8; ++j) {
|
|
float w = weight[j];
|
|
float q = xg[(grid_i[j] - 1)/2];
|
|
float diff = scale*q - xval[i];
|
|
d2 += w*diff*diff;
|
|
}
|
|
if (d2 < best_score) {
|
|
best_score = d2;
|
|
grid_index = i;
|
|
}
|
|
}
|
|
}
|
|
if (grid_index < 0) {
|
|
printf("Oops, did not find grid point\n");
|
|
printf("Have %d neighbours\n", num_neighbors);
|
|
for (int j = 1; j <= num_neighbors; ++j) {
|
|
const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
float q = xg[(pg[i] - 1)/2];
|
|
float w = weight[i];
|
|
sumqx += w*q*xval[i];
|
|
sumq2 += w*q*q;
|
|
}
|
|
printf(" neighbour %d: sumqx = %g sumq2 = %g\n", j, (double)sumqx, (double)sumq2);
|
|
}
|
|
}
|
|
GGML_ASSERT(grid_index >= 0);
|
|
const int8_t * pg = (const int8_t *)(grid + grid_index);
|
|
for (int i = 0; i < 8; ++i) L[i] = (pg[i] - 1)/2;
|
|
return grid_index;
|
|
}
|
|
|
|
static int iq1_sort_helper(const void * left, const void * right) {
|
|
const float * l = left;
|
|
const float * r = right;
|
|
return *l < *r ? -1 : *l > *r ? 1 : 0;
|
|
}
|
|
|
|
#define IQ1S_BLOCK_SIZE 32
|
|
#define IQ1M_BLOCK_SIZE 16
|
|
static void quantize_row_iq1_s_impl(const float * restrict x, void * restrict vy, int64_t n, const float * restrict quant_weights,
|
|
float * scales,
|
|
float * weight,
|
|
float * sumx,
|
|
float * sumw,
|
|
float * pairs,
|
|
int8_t * L,
|
|
uint16_t * index,
|
|
int8_t * shifts) {
|
|
|
|
const int gindex = iq2_data_index(GGML_TYPE_IQ1_S);
|
|
|
|
const uint64_t * kgrid_q2xs = iq2_data[gindex].grid;
|
|
const int * kmap_q2xs = iq2_data[gindex].map;
|
|
const uint16_t * kneighbors_q2xs = iq2_data[gindex].neighbours;
|
|
|
|
GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kgrid_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kmap_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
block_iq1_s * y = vy;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
const int block_size = IQ1S_BLOCK_SIZE;
|
|
|
|
const float x_p[3] = {-1 + IQ1S_DELTA, IQ1S_DELTA, 1 + IQ1S_DELTA};
|
|
const float x_m[3] = {-1 - IQ1S_DELTA, -IQ1S_DELTA, 1 - IQ1S_DELTA};
|
|
|
|
|
|
int * idx = (int *)(pairs + 1);
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
memset(y[ibl].qs, 0, QK_K/8);
|
|
memset(y[ibl].qh, 0, QK_K/16);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/block_size; ++ib) {
|
|
const float * xb = xbl + block_size*ib;
|
|
const float * qw = quant_weights + QK_K*ibl + block_size*ib;
|
|
for (int i = 0; i < block_size; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
float max = fabsf(xb[0]);
|
|
for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
memset(L, 1, block_size);
|
|
continue;
|
|
}
|
|
// Here we solve exactly the sum of squared difference (SSD) weighted minimization problem.
|
|
// With just 3 allowed quant values (-1, 0, 1), we can search exhaustively for the two
|
|
// boundaries that split the weights xb[i] into 3 groups. To do so, we sort the weights
|
|
// in ascending order, compute Si = sum[weight[j] xb[j], j = 0...i] and
|
|
// Wi = sum[weight[j], j = 0...i], and use these to quckly get get the optimum scale
|
|
// for each possible and score for each split.
|
|
for (int j = 0; j < block_size; ++j) {
|
|
pairs[2*j] = xb[j];
|
|
idx[2*j] = j;
|
|
}
|
|
qsort(pairs, block_size, 2*sizeof(float), iq1_sort_helper);
|
|
{
|
|
sumx[0] = sumw[0] = 0;
|
|
for (int j = 0; j < block_size; ++j) {
|
|
int i = idx[2*j];
|
|
sumx[j+1] = sumx[j] + weight[i]*xb[i];
|
|
sumw[j+1] = sumw[j] + weight[i];
|
|
}
|
|
}
|
|
float best_score = 0, scale = max;
|
|
int besti1 = -1, besti2 = -1, best_shift = 0;
|
|
for (int i1 = 0; i1 <= block_size; ++i1) {
|
|
for (int i2 = i1; i2 <= block_size; ++i2) {
|
|
float sumqx = (sumx[i1] - sumx[0])*x_p[0] + (sumx[i2] - sumx[i1])*x_p[1] + (sumx[block_size] - sumx[i2])*x_p[2];
|
|
float sumq2 = (sumw[i1] - sumw[0])*x_p[0]*x_p[0] + (sumw[i2] - sumw[i1])*x_p[1]*x_p[1] + (sumw[block_size] - sumw[i2])*x_p[2]*x_p[2];
|
|
if (sumq2 > 0 && sumqx*sumqx > best_score*sumq2) {
|
|
scale = sumqx/sumq2; best_score = scale*sumqx;
|
|
besti1 = i1; besti2 = i2; best_shift = 1;
|
|
}
|
|
sumqx = (sumx[i1] - sumx[0])*x_m[0] + (sumx[i2] - sumx[i1])*x_m[1] + (sumx[block_size] - sumx[i2])*x_m[2];
|
|
sumq2 = (sumw[i1] - sumw[0])*x_m[0]*x_m[0] + (sumw[i2] - sumw[i1])*x_m[1]*x_m[1] + (sumw[block_size] - sumw[i2])*x_m[2]*x_m[2];
|
|
if (sumq2 > 0 && sumqx*sumqx > best_score*sumq2) {
|
|
scale = sumqx/sumq2; best_score = scale*sumqx;
|
|
besti1 = i1; besti2 = i2; best_shift = -1;
|
|
}
|
|
}
|
|
}
|
|
GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_shift != 0);
|
|
for (int j = 0; j < besti1; ++j) L[idx[2*j]] = 0;
|
|
for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1;
|
|
for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2;
|
|
if (scale < 0) {
|
|
for (int j = 0; j < block_size; ++j) L[j] = 2 - L[j];
|
|
scale = -scale; best_shift = -best_shift;
|
|
}
|
|
bool all_on_grid = true;
|
|
const float * xx = best_shift == 1 ? x_p : x_m;
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
uint16_t u = 0;
|
|
for (int j = 0; j < 8; ++j) u |= (L[8*k+j] << 2*j);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
all_on_grid = false;
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq1_find_best_neighbour2(neighbours, kgrid_q2xs, xb + 8*k, weight + 8*k, scale, xx, L + 8*k, NGRID_IQ1S);
|
|
GGML_ASSERT(grid_index >= 0);
|
|
}
|
|
index[k] = grid_index;
|
|
}
|
|
if (!all_on_grid) {
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + index[k]);
|
|
for (int j = 0; j < 8; ++j) {
|
|
float w = weight[8*k + j];
|
|
float q = xx[(pg[j] - 1)/2];
|
|
sumqx += w*q*xb[8*k+j];
|
|
sumq2 += w*q*q;
|
|
}
|
|
}
|
|
if (sumqx > 0 && sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
uint16_t h = 0;
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
y[ibl].qs[(block_size/8)*ib + k] = index[k] & 255;
|
|
h |= (index[k] >> 8) << 3*k;
|
|
}
|
|
y[ibl].qh[ib] = h;
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
shifts[ib] = best_shift;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/15;
|
|
y[ibl].d = GGML_FP32_TO_FP16(d*1.125f); // 1.125f is another fudge factor. Don't ask me why it is needed.
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/block_size; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib]-1));
|
|
l = MAX(0, MIN(7, l));
|
|
if (shifts[ib] == -1) l |= 8;
|
|
y[ibl].qh[ib] |= (l << 12);
|
|
}
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq1_s(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
float scales[QK_K/IQ1S_BLOCK_SIZE];
|
|
float weight[IQ1S_BLOCK_SIZE];
|
|
int8_t L[IQ1S_BLOCK_SIZE];
|
|
float sumx[IQ1S_BLOCK_SIZE+1];
|
|
float sumw[IQ1S_BLOCK_SIZE+1];
|
|
float pairs[2*IQ1S_BLOCK_SIZE];
|
|
uint16_t index[IQ1S_BLOCK_SIZE/8];
|
|
int8_t shifts[QK_K/IQ1S_BLOCK_SIZE];
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq1_s_impl(src, qrow, n_per_row, quant_weights, scales, weight, sumx, sumw, pairs, L, index, shifts);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq1_s);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq1_s);
|
|
}
|
|
|
|
static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy, int64_t n, const float * restrict quant_weights,
|
|
float * scales,
|
|
float * weight,
|
|
float * pairs,
|
|
int8_t * L,
|
|
uint16_t * index,
|
|
int8_t * shifts) {
|
|
|
|
const int gindex = iq2_data_index(GGML_TYPE_IQ1_M);
|
|
|
|
const uint64_t * kgrid_q2xs = iq2_data[gindex].grid;
|
|
const int * kmap_q2xs = iq2_data[gindex].map;
|
|
const uint16_t * kneighbors_q2xs = iq2_data[gindex].neighbours;
|
|
|
|
//GGML_ASSERT(quant_weights && "missing quantization weights");
|
|
GGML_ASSERT(kgrid_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kmap_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
block_iq1_m * y = vy;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
const int block_size = IQ1M_BLOCK_SIZE;
|
|
|
|
const float x_p[3] = {-1 + IQ1M_DELTA, IQ1M_DELTA, 1 + IQ1M_DELTA};
|
|
const float x_m[3] = {-1 - IQ1M_DELTA, -IQ1M_DELTA, 1 - IQ1M_DELTA};
|
|
const uint8_t masks[4] = {0x00, 0x80, 0x08, 0x88};
|
|
|
|
int * idx = (int *)(pairs + 1);
|
|
|
|
float sumqx[4], sumq2[4];
|
|
|
|
iq1m_scale_t s;
|
|
const float * xx;
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
#if QK_K == 64
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
#endif
|
|
memset(y[ibl].qs, 0, QK_K/8);
|
|
memset(y[ibl].qh, 0, QK_K/16);
|
|
memset(y[ibl].scales, 0, QK_K/32);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/block_size; ++ib) {
|
|
const float * xb = xbl + block_size*ib;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*ibl + block_size*ib;
|
|
for (int i = 0; i < block_size; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
} else {
|
|
for (int i = 0; i < block_size; ++i) weight[i] = xb[i]*xb[i];
|
|
}
|
|
float max = fabsf(xb[0]);
|
|
for (int i = 1; i < block_size; ++i) max = MAX(max, fabsf(xb[i]));
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
memset(L, 1, block_size);
|
|
continue;
|
|
}
|
|
// Here we solve exactly the sum of squared difference (SSD) weighted minimization problem.
|
|
// With just 3 allowed quant values (-1, 0, 1), we can search exhaustively for the two
|
|
// boundaries that split the weights xb[i] into 3 groups. To do so, we sort the weights
|
|
// in ascending order, compute Si = sum[weight[j] xb[j], j = 0...i] and
|
|
// Wi = sum[weight[j], j = 0...i], and use these to quckly get get the optimum scale
|
|
// for each possible and score for each split.
|
|
for (int j = 0; j < block_size; ++j) {
|
|
pairs[2*j] = xb[j];
|
|
idx[2*j] = j;
|
|
}
|
|
qsort(pairs, block_size, 2*sizeof(float), iq1_sort_helper);
|
|
float best_score = 0, scale = max;
|
|
int besti1 = -1, besti2 = -1, best_k = -1;
|
|
// 0: +, +
|
|
// 1: +, -
|
|
// 2: -, +
|
|
// 3: -, -
|
|
for (int i1 = 0; i1 <= block_size; ++i1) {
|
|
for (int i2 = i1; i2 <= block_size; ++i2) {
|
|
memset(sumqx, 0, 4*sizeof(float));
|
|
memset(sumq2, 0, 4*sizeof(float));
|
|
for (int j = 0; j < i1; ++j) {
|
|
int i = idx[2*j];
|
|
if (i < block_size/2) {
|
|
sumqx[0] += weight[i]*x_p[0]*xb[i];
|
|
sumqx[1] += weight[i]*x_p[0]*xb[i];
|
|
sumqx[2] += weight[i]*x_m[0]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[0]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[0]*x_p[0];
|
|
sumq2[1] += weight[i]*x_p[0]*x_p[0];
|
|
sumq2[2] += weight[i]*x_m[0]*x_m[0];
|
|
sumq2[3] += weight[i]*x_m[0]*x_m[0];
|
|
} else {
|
|
sumqx[0] += weight[i]*x_p[0]*xb[i];
|
|
sumqx[2] += weight[i]*x_p[0]*xb[i];
|
|
sumqx[1] += weight[i]*x_m[0]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[0]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[0]*x_p[0];
|
|
sumq2[2] += weight[i]*x_p[0]*x_p[0];
|
|
sumq2[1] += weight[i]*x_m[0]*x_m[0];
|
|
sumq2[3] += weight[i]*x_m[0]*x_m[0];
|
|
}
|
|
}
|
|
for (int j = i1; j < i2; ++j) {
|
|
int i = idx[2*j];
|
|
if (i < block_size/2) {
|
|
sumqx[0] += weight[i]*x_p[1]*xb[i];
|
|
sumqx[1] += weight[i]*x_p[1]*xb[i];
|
|
sumqx[2] += weight[i]*x_m[1]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[1]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[1]*x_p[1];
|
|
sumq2[1] += weight[i]*x_p[1]*x_p[1];
|
|
sumq2[2] += weight[i]*x_m[1]*x_m[1];
|
|
sumq2[3] += weight[i]*x_m[1]*x_m[1];
|
|
} else {
|
|
sumqx[0] += weight[i]*x_p[1]*xb[i];
|
|
sumqx[2] += weight[i]*x_p[1]*xb[i];
|
|
sumqx[1] += weight[i]*x_m[1]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[1]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[1]*x_p[1];
|
|
sumq2[2] += weight[i]*x_p[1]*x_p[1];
|
|
sumq2[1] += weight[i]*x_m[1]*x_m[1];
|
|
sumq2[3] += weight[i]*x_m[1]*x_m[1];
|
|
}
|
|
}
|
|
for (int j = i2; j < block_size; ++j) {
|
|
int i = idx[2*j];
|
|
if (i < block_size/2) {
|
|
sumqx[0] += weight[i]*x_p[2]*xb[i];
|
|
sumqx[1] += weight[i]*x_p[2]*xb[i];
|
|
sumqx[2] += weight[i]*x_m[2]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[2]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[2]*x_p[2];
|
|
sumq2[1] += weight[i]*x_p[2]*x_p[2];
|
|
sumq2[2] += weight[i]*x_m[2]*x_m[2];
|
|
sumq2[3] += weight[i]*x_m[2]*x_m[2];
|
|
} else {
|
|
sumqx[0] += weight[i]*x_p[2]*xb[i];
|
|
sumqx[2] += weight[i]*x_p[2]*xb[i];
|
|
sumqx[1] += weight[i]*x_m[2]*xb[i];
|
|
sumqx[3] += weight[i]*x_m[2]*xb[i];
|
|
sumq2[0] += weight[i]*x_p[2]*x_p[2];
|
|
sumq2[2] += weight[i]*x_p[2]*x_p[2];
|
|
sumq2[1] += weight[i]*x_m[2]*x_m[2];
|
|
sumq2[3] += weight[i]*x_m[2]*x_m[2];
|
|
}
|
|
}
|
|
for (int k = 0; k < 4; ++k) {
|
|
if (sumq2[k] > 0 && sumqx[k]*sumqx[k] > best_score*sumq2[k]) {
|
|
scale = sumqx[k]/sumq2[k]; best_score = scale*sumqx[k];
|
|
besti1 = i1; besti2 = i2; best_k = k;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
GGML_ASSERT(besti1 >= 0 && besti2 >= 0 && best_k >= 0);
|
|
for (int j = 0; j < besti1; ++j) L[idx[2*j]] = 0;
|
|
for (int j = besti1; j < besti2; ++j) L[idx[2*j]] = 1;
|
|
for (int j = besti2; j < block_size; ++j) L[idx[2*j]] = 2;
|
|
if (scale < 0) {
|
|
for (int j = 0; j < block_size; ++j) L[j] = 2 - L[j];
|
|
scale = -scale;
|
|
best_k = best_k == 0 ? 3 : best_k == 1 ? 2 : best_k == 2 ? 1 : 0;
|
|
}
|
|
bool all_on_grid = true;
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
if (k == 0) xx = best_k < 2 ? x_p : x_m;
|
|
else xx = best_k%2 == 0 ? x_p : x_m;
|
|
uint16_t u = 0;
|
|
for (int j = 0; j < 8; ++j) u |= (L[8*k+j] << 2*j);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
all_on_grid = false;
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq1_find_best_neighbour2(neighbours, kgrid_q2xs, xb + 8*k, weight + 8*k, scale, xx, L + 8*k, NGRID_IQ1S);
|
|
GGML_ASSERT(grid_index >= 0);
|
|
}
|
|
index[k] = grid_index;
|
|
}
|
|
if (!all_on_grid) {
|
|
float sumqx_f = 0, sumq2_f = 0;
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
if (k == 0) xx = best_k < 2 ? x_p : x_m;
|
|
else xx = best_k%2 == 0 ? x_p : x_m;
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + index[k]);
|
|
for (int j = 0; j < 8; ++j) {
|
|
float w = weight[8*k + j];
|
|
float q = xx[(pg[j] - 1)/2];
|
|
sumqx_f += w*q*xb[8*k+j];
|
|
sumq2_f += w*q*q;
|
|
}
|
|
}
|
|
if (sumqx_f > 0 && sumq2_f > 0) scale = sumqx_f/sumq2_f;
|
|
}
|
|
y[ibl].qs[2*ib + 0] = index[0] & 255;
|
|
y[ibl].qs[2*ib + 1] = index[1] & 255;
|
|
y[ibl].qh[ib] = (index[0] >> 8) | ((index[1] >> 8) << 4);
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
shifts[ib] = best_k;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
continue;
|
|
}
|
|
|
|
uint16_t * sc = (uint16_t *)y[ibl].scales;
|
|
#if QK_K == 64
|
|
float d = max_scale/31;
|
|
#else
|
|
float d = max_scale/15;
|
|
#endif
|
|
float id = 1/d;
|
|
float sumqx_f = 0, sumq2_f = 0;
|
|
for (int ib = 0; ib < QK_K/block_size; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib+0]-1));
|
|
#if QK_K == 64
|
|
l = MAX(0, MIN(15, l));
|
|
sc[ib/4] |= (l << 4*(ib%4));
|
|
#else
|
|
l = MAX(0, MIN(7, l));
|
|
sc[ib/4] |= (l << 3*(ib%4));
|
|
#endif
|
|
y[ibl].qh[ib] |= masks[shifts[ib]];
|
|
const float * xb = xbl + block_size*ib;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*ibl + block_size*ib;
|
|
for (int i = 0; i < block_size; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
} else {
|
|
for (int i = 0; i < block_size; ++i) weight[i] = xb[i]*xb[i];
|
|
}
|
|
for (int k = 0; k < block_size/8; ++k) {
|
|
if (k == 0) xx = shifts[ib] < 2 ? x_p : x_m;
|
|
else xx = shifts[ib]%2 == 0 ? x_p : x_m;
|
|
const int8_t * pg = (const int8_t *)(kgrid_q2xs + y[ibl].qs[2*ib+k] + ((y[ibl].qh[ib] << (8 - 4*k)) & 0x700));
|
|
for (int j = 0; j < 8; ++j) {
|
|
float w = weight[8*k + j];
|
|
float q = xx[(pg[j] - 1)/2]*(2*l+1);
|
|
sumqx_f += w*q*xb[8*k+j];
|
|
sumq2_f += w*q*q;
|
|
}
|
|
}
|
|
}
|
|
if (sumq2_f > 0) d = sumqx_f/sumq2_f;
|
|
s.f16 = GGML_FP32_TO_FP16(d*1.1125f); // 1.1125f is another fudge factor. Don't ask me why it is needed.
|
|
#if QK_K == 64
|
|
y[ibl].d = s.f16;
|
|
#else
|
|
sc[0] |= ((s.u16 & 0x000f) << 12);
|
|
sc[1] |= ((s.u16 & 0x00f0) << 8);
|
|
sc[2] |= ((s.u16 & 0x0f00) << 4);
|
|
sc[3] |= ((s.u16 & 0xf000) << 0);
|
|
#endif
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq1_m(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
float scales[QK_K/IQ1M_BLOCK_SIZE];
|
|
float weight[IQ1M_BLOCK_SIZE];
|
|
int8_t L[IQ1M_BLOCK_SIZE];
|
|
float pairs[2*IQ1M_BLOCK_SIZE];
|
|
uint16_t index[IQ1M_BLOCK_SIZE/8];
|
|
int8_t shifts[QK_K/IQ1M_BLOCK_SIZE];
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq1_m_impl(src, qrow, n_per_row, quant_weights, scales, weight, pairs, L, index, shifts);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq1_m);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq1_m);
|
|
}
|
|
|
|
// ============================ 4-bit non-linear quants
|
|
|
|
static inline int best_index_int8(int n, const int8_t * val, float x) {
|
|
if (x <= val[0]) return 0;
|
|
if (x >= val[n-1]) return n-1;
|
|
int ml = 0, mu = n-1;
|
|
while (mu-ml > 1) {
|
|
int mav = (ml+mu)/2;
|
|
if (x < val[mav]) mu = mav; else ml = mav;
|
|
}
|
|
return x - val[mu-1] < val[mu] - x ? mu-1 : mu;
|
|
}
|
|
|
|
static void quantize_row_iq4_nl_impl(const int super_block_size, const int block_size, const float * restrict x,
|
|
ggml_fp16_t * dh, uint8_t * q4, uint16_t * scales_h, uint8_t * scales_l,
|
|
float * scales, float * weight, uint8_t * L,
|
|
const int8_t * values,
|
|
const float * quant_weights,
|
|
const int ntry) {
|
|
|
|
float sigma2 = 0;
|
|
for (int j = 0; j < super_block_size; ++j) sigma2 += x[j]*x[j];
|
|
sigma2 *= 2.f/super_block_size;
|
|
|
|
memset(q4, 0, super_block_size/2);
|
|
dh[0] = GGML_FP32_TO_FP16(0.f);
|
|
|
|
float max_scale = 0, amax_scale = 0;
|
|
for (int ib = 0; ib < super_block_size/block_size; ++ib) {
|
|
const float * xb = x + ib*block_size;
|
|
uint8_t * Lb = L + ib*block_size;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + ib*block_size;
|
|
for (int j = 0; j < block_size; ++j) weight[j] = qw[j] * sqrtf(sigma2 + xb[j]*xb[j]);
|
|
} else {
|
|
for (int j = 0; j < block_size; ++j) weight[j] = xb[j]*xb[j];
|
|
}
|
|
float amax = 0, max = 0;
|
|
for (int j = 0; j < block_size; ++j) {
|
|
float ax = fabsf(xb[j]);
|
|
if (ax > amax) {
|
|
amax = ax; max = xb[j];
|
|
}
|
|
}
|
|
if (!amax) {
|
|
scales[ib] = 0;
|
|
continue;
|
|
}
|
|
float d = ntry > 0 ? -max/values[0] : max/values[0];
|
|
float id = 1/d;
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int j = 0; j < block_size; ++j) {
|
|
float al = id*xb[j];
|
|
int l = best_index_int8(16, values, al);
|
|
Lb[j] = l;
|
|
float q = values[l];
|
|
float w = weight[j];
|
|
sumqx += w*q*xb[j];
|
|
sumq2 += w*q*q;
|
|
}
|
|
d = sumqx/sumq2;
|
|
float best = d*sumqx;
|
|
for (int itry = -ntry; itry <= ntry; ++itry) {
|
|
id = (itry + values[0])/max;
|
|
sumqx = sumq2 = 0;
|
|
for (int j = 0; j < block_size; ++j) {
|
|
float al = id*xb[j];
|
|
int l = best_index_int8(16, values, al);
|
|
float q = values[l];
|
|
float w = weight[j];
|
|
sumqx += w*q*xb[j];
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
d = sumqx/sumq2; best = d * sumqx;
|
|
}
|
|
}
|
|
scales[ib] = d;
|
|
float abs_d = fabsf(d);
|
|
if (abs_d > amax_scale) {
|
|
amax_scale = abs_d; max_scale = d;
|
|
}
|
|
}
|
|
|
|
if (super_block_size/block_size > 1) {
|
|
int nb = super_block_size/block_size;
|
|
memset(scales_h, 0, ((nb+7)/8)*sizeof(uint16_t));
|
|
float d = -max_scale/32;
|
|
dh[0] = GGML_FP32_TO_FP16(d);
|
|
float id = d ? 1/d : 0.f;
|
|
for (int ib = 0; ib < super_block_size/block_size; ++ib) {
|
|
int l = nearest_int(id*scales[ib]);
|
|
l = MAX(-32, MIN(31, l));
|
|
float dl = d * l;
|
|
float idl = dl ? 1/dl : 0.f;
|
|
uint8_t * Lb = L + ib*block_size;
|
|
const float * xb = x + ib*block_size;
|
|
for (int j = 0; j < block_size; ++j) {
|
|
Lb[j] = best_index_int8(16, values, idl*xb[j]);
|
|
}
|
|
l += 32;
|
|
uint8_t l_l = l & 0xf;
|
|
uint8_t l_h = l >> 4;
|
|
if (ib%2 == 0) scales_l[ib/2] = l_l;
|
|
else scales_l[ib/2] |= (l_l << 4);
|
|
scales_h[ib/8] |= (l_h << 2*(ib%8));
|
|
}
|
|
} else {
|
|
dh[0] = GGML_FP32_TO_FP16(scales[0]);
|
|
if (ntry > 0) {
|
|
float id = scales[0] ? 1/scales[0] : 0;
|
|
for (int j = 0; j < super_block_size; ++j) {
|
|
L[j] = best_index_int8(16, values, id*x[j]);
|
|
}
|
|
}
|
|
}
|
|
|
|
for (int i = 0; i < super_block_size/32; ++i) {
|
|
for (int j = 0; j < 16; ++j) {
|
|
q4[16*i + j] = L[32*i + j] | (L[32*i + 16 + j] << 4);
|
|
}
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq4_nl(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK4_NL == 0);
|
|
int64_t nblock = n_per_row/QK4_NL;
|
|
char * qrow = (char *)dst;
|
|
uint8_t L[QK4_NL];
|
|
float weight[QK4_NL];
|
|
uint16_t unused_h;
|
|
uint8_t * unused_l = NULL;
|
|
float scale;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
block_iq4_nl * iq4 = (block_iq4_nl *)qrow;
|
|
for (int ibl = 0; ibl < nblock; ++ibl) {
|
|
const float * qw = quant_weights ? quant_weights + QK4_NL*ibl : NULL;
|
|
quantize_row_iq4_nl_impl(QK4_NL, 32, src + QK4_NL*ibl, &iq4[ibl].d, iq4[ibl].qs, &unused_h, unused_l,
|
|
&scale, weight, L, kvalues_iq4nl, qw, 7);
|
|
}
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq4_nl);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq4_nl);
|
|
}
|
|
|
|
void quantize_row_iq4_nl(const float * restrict x, void * restrict vy, int64_t k) {
|
|
GGML_ASSERT(k%QK4_NL == 0);
|
|
int64_t nblock = k/QK4_NL;
|
|
uint8_t L[QK4_NL];
|
|
float weight[QK4_NL];
|
|
uint16_t unused_h;
|
|
uint8_t * unused_l = NULL;
|
|
float scale;
|
|
block_iq4_nl * iq4 = (block_iq4_nl *)vy;
|
|
for (int ibl = 0; ibl < nblock; ++ibl) {
|
|
quantize_row_iq4_nl_impl(QK4_NL, 32, x + QK4_NL*ibl, &iq4[ibl].d, iq4[ibl].qs, &unused_h, unused_l,
|
|
&scale, weight, L, kvalues_iq4nl, NULL, -1);
|
|
}
|
|
}
|
|
|
|
void quantize_row_iq4_nl_reference(const float * restrict x, block_iq4_nl * restrict y, int64_t k) {
|
|
assert(k % QK4_NL == 0);
|
|
quantize_row_iq4_nl(x, y, k);
|
|
}
|
|
|
|
size_t quantize_iq4_xs(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
#if QK_K == 64
|
|
return quantize_iq4_nl(src, dst, nrow, n_per_row, quant_weights);
|
|
#else
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
uint8_t L[QK_K];
|
|
float weight[32];
|
|
float scales[QK_K/32];
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
block_iq4_xs * iq4 = (block_iq4_xs *)qrow;
|
|
for (int ibl = 0; ibl < nblock; ++ibl) {
|
|
const float * qw = quant_weights ? quant_weights + QK_K*ibl : NULL;
|
|
quantize_row_iq4_nl_impl(QK_K, 32, src + QK_K*ibl, &iq4[ibl].d, iq4[ibl].qs, &iq4[ibl].scales_h, iq4[ibl].scales_l,
|
|
scales, weight, L, kvalues_iq4nl, qw, 7);
|
|
}
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq4_xs);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq4_xs);
|
|
#endif
|
|
}
|
|
|
|
void quantize_row_iq4_xs(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_iq4_xs * restrict y = vy;
|
|
quantize_row_iq4_xs_reference(x, y, k);
|
|
}
|
|
|
|
void quantize_row_iq4_xs_reference(const float * restrict x, block_iq4_xs * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
quantize_iq4_xs(x, y, 1, k, NULL);
|
|
}
|
|
|
|
// =============================== 2.5625 bpw
|
|
|
|
static void quantize_row_iq2_s_impl(const float * restrict x, void * restrict vy, int64_t n, const float * restrict quant_weights) {
|
|
|
|
const int gindex = iq2_data_index(GGML_TYPE_IQ2_S);
|
|
|
|
const uint64_t * kgrid_q2xs = iq2_data[gindex].grid;
|
|
const int * kmap_q2xs = iq2_data[gindex].map;
|
|
const uint16_t * kneighbors_q2xs = iq2_data[gindex].neighbours;
|
|
|
|
GGML_ASSERT(kmap_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kgrid_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(kneighbors_q2xs && "forgot to call ggml_quantize_init()?");
|
|
GGML_ASSERT(n%QK_K == 0);
|
|
|
|
const int kMaxQ = 3;
|
|
|
|
const int64_t nbl = n/QK_K;
|
|
|
|
block_iq2_s * y = vy;
|
|
|
|
float scales[QK_K/16];
|
|
float weight[16];
|
|
float xval[16];
|
|
int8_t L[16];
|
|
int8_t Laux[16];
|
|
float waux[16];
|
|
bool is_on_grid[2];
|
|
bool is_on_grid_aux[2];
|
|
uint8_t block_signs[2];
|
|
|
|
for (int ibl = 0; ibl < nbl; ++ibl) {
|
|
|
|
memset(&y[ibl], 0, sizeof(block_iq2_s));
|
|
y[ibl].d = GGML_FP32_TO_FP16(0.f);
|
|
|
|
float max_scale = 0;
|
|
|
|
const float * xbl = x + QK_K*ibl;
|
|
float sumx2 = 0;
|
|
for (int i = 0; i < QK_K; ++i) sumx2 += xbl[i]*xbl[i];
|
|
float sigma2 = 2*sumx2/QK_K;
|
|
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
const float * xb = xbl + 16*ib;
|
|
if (quant_weights) {
|
|
const float * qw = quant_weights + QK_K*ibl + 16*ib;
|
|
for (int i = 0; i < 16; ++i) weight[i] = qw[i] * sqrtf(sigma2 + xb[i]*xb[i]);
|
|
} else {
|
|
for (int i = 0; i < 16; ++i) weight[i] = 0.25f*sigma2 + xb[i]*xb[i];
|
|
}
|
|
for (int i = 0; i < 16; ++i) waux[i] = sqrtf(weight[i]);
|
|
for (int k = 0; k < 2; ++k) {
|
|
uint8_t s = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
if (xb[8*k + i] >= 0) xval[8*k + i] = xb[8*k + i];
|
|
else {
|
|
xval[8*k + i] = -xb[8*k + i]; s |= (1 << i);
|
|
}
|
|
}
|
|
block_signs[k] = s;
|
|
}
|
|
float max = xval[0];
|
|
for (int i = 1; i < 16; ++i) max = MAX(max, xval[i]);
|
|
if (!max) {
|
|
scales[ib] = 0;
|
|
continue;
|
|
}
|
|
float best = 0;
|
|
float scale = max/(2*kMaxQ-1);
|
|
is_on_grid[0] = is_on_grid[1] = true;
|
|
for (int is = -9; is <= 9; ++is) {
|
|
float id = (2*kMaxQ-1+is*0.1f)/max;
|
|
float this_scale = 1/id;
|
|
for (int k = 0; k < 2; ++k) {
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
Laux[8*k+i] = MAX(0, MIN(kMaxQ-1, l));
|
|
}
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (Laux[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
is_on_grid_aux[k] = true;
|
|
if (grid_index < 0) {
|
|
is_on_grid_aux[k] = false;
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, this_scale, Laux + 8*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 16; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*Laux[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0 && sumqx*sumqx > best*sumq2) {
|
|
scale = sumqx/sumq2; best = scale*sumqx;
|
|
for (int i = 0; i < 16; ++i) L[i] = Laux[i];
|
|
for (int k = 0; k < 2; ++k) is_on_grid[k] = is_on_grid_aux[k];
|
|
}
|
|
}
|
|
int n_not_ongrid = 0;
|
|
for (int k = 0; k < 2; ++k) if (!is_on_grid[k]) ++n_not_ongrid;
|
|
if (n_not_ongrid > 0 && scale > 0) {
|
|
float id = 1/scale;
|
|
for (int k = 0; k < 2; ++k) {
|
|
if (is_on_grid[k]) continue;
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) {
|
|
int l = nearest_int(0.5f*(id*xval[8*k+i]-1));
|
|
l = MAX(0, MIN(kMaxQ-1, l));
|
|
u |= (l << 2*i);
|
|
L[8*k + i] = l;
|
|
}
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
const uint16_t * neighbours = kneighbors_q2xs - kmap_q2xs[u] - 1;
|
|
grid_index = iq2_find_best_neighbour(neighbours, kgrid_q2xs, xval + 8*k, waux + 8*k, scale, L + 8*k);
|
|
}
|
|
}
|
|
float sumqx = 0, sumq2 = 0;
|
|
for (int i = 0; i < 16; ++i) {
|
|
float w = weight[i];
|
|
float q = 2*L[i] + 1;
|
|
sumqx += w*xval[i]*q;
|
|
sumq2 += w*q*q;
|
|
}
|
|
if (sumq2 > 0) scale = sumqx/sumq2;
|
|
}
|
|
if (scale < 0) {
|
|
scale = -scale;
|
|
for (int k = 0; k < 2; ++k) block_signs[k] = ~block_signs[k];
|
|
}
|
|
for (int k = 0; k < 2; ++k) {
|
|
uint16_t u = 0;
|
|
for (int i = 0; i < 8; ++i) u |= (L[8*k+i] << 2*i);
|
|
int grid_index = kmap_q2xs[u];
|
|
if (grid_index < 0) {
|
|
printf("Oops: found point %u not on grid:", u);
|
|
for (int i = 0; i < 8; ++i) printf(" %d", L[8*k+i]);
|
|
printf("\n");
|
|
GGML_ASSERT(false);
|
|
}
|
|
const int i8 = 2*ib + k;
|
|
y[ibl].qs[i8] = grid_index & 255;
|
|
y[ibl].qh[i8/4] |= ((grid_index >> 8) << 2*(i8%4));
|
|
y[ibl].qs[QK_K/8 + i8] = block_signs[k];
|
|
}
|
|
GGML_ASSERT(scale >= 0);
|
|
scales[ib] = scale;
|
|
max_scale = MAX(max_scale, scale);
|
|
}
|
|
|
|
if (!max_scale) {
|
|
continue;
|
|
}
|
|
|
|
float d = max_scale/31;
|
|
y[ibl].d = GGML_FP32_TO_FP16(d * 0.9875f);
|
|
float id = 1/d;
|
|
for (int ib = 0; ib < QK_K/16; ++ib) {
|
|
int l = nearest_int(0.5f*(id*scales[ib]-1));
|
|
l = MAX(0, MIN(15, l));
|
|
if (ib%2 == 0) y[ibl].scales[ib/2] = l;
|
|
else y[ibl].scales[ib/2] |= (l << 4);
|
|
}
|
|
}
|
|
}
|
|
|
|
size_t quantize_iq2_s(const float * restrict src, void * restrict dst, int64_t nrow, int64_t n_per_row, const float * quant_weights) {
|
|
GGML_ASSERT(n_per_row%QK_K == 0);
|
|
int64_t nblock = n_per_row/QK_K;
|
|
char * qrow = (char *)dst;
|
|
for (int64_t row = 0; row < nrow; ++row) {
|
|
quantize_row_iq2_s_impl(src, qrow, n_per_row, quant_weights);
|
|
src += n_per_row;
|
|
qrow += nblock*sizeof(block_iq2_s);
|
|
}
|
|
return nrow * nblock * sizeof(block_iq2_s);
|
|
}
|
|
|
|
void quantize_row_iq2_s_reference(const float * restrict x, block_iq2_s * restrict y, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
quantize_iq2_s(x, y, 1, k, NULL);
|
|
}
|
|
|
|
void quantize_row_iq2_s(const float * restrict x, void * restrict vy, int64_t k) {
|
|
assert(k % QK_K == 0);
|
|
block_iq2_s * restrict y = vy;
|
|
quantize_row_iq2_s_reference(x, y, k);
|
|
}
|