+++ /dev/null
-
-#if defined(__GNUC__)
-#pragma GCC diagnostic ignored "-Wpedantic"
-#pragma GCC diagnostic ignored "-Wunused-local-typedefs"
-#endif
-
-#include "mmq.h"
-#include "ggml-impl.h"
-#include "ggml-quants.h"
-#include <algorithm>
-#include <type_traits>
-
-#if defined(__gnu_linux__)
-#include <sys/syscall.h>
-#include <unistd.h>
-#endif
-
-#if defined(_OPENMP)
-#include <omp.h>
-#endif
-
-#if (defined(_WIN32) || defined(_WIN64))
-#define RESTRICT __restrict
-#else
-#define RESTRICT __restrict__
-#endif
-
-#if (defined(_WIN32) || defined(_WIN64))
-#define ALWAYS_INLINE __forceinline
-#elif __has_attribute(always_inline) || defined(__GNUC__)
-#define ALWAYS_INLINE __attribute__((__always_inline__)) inline
-#else
-#define ALWAYS_INLINE inline
-#endif
-
-#if defined(__AMX_INT8__)
-
-namespace {
-
-// Forced unrolling
-template <int n>
-struct Unroll {
- template <typename Func, typename... Args>
- ALWAYS_INLINE void operator()(const Func& f, Args... args) const {
- Unroll<n - 1>{}(f, args...);
- f(std::integral_constant<int, n - 1>{}, args...);
- }
-};
-
-template <>
-struct Unroll<1> {
- template <typename Func, typename... Args>
- ALWAYS_INLINE void operator()(const Func& f, Args... args) const {
- f(std::integral_constant<int, 0>{}, args...);
- }
-};
-
-// type traits
-template <typename T> struct PackedTypes {};
-template <> struct PackedTypes<block_q4_0> { using type = int8_t; };
-template <> struct PackedTypes<block_q4_1> { using type = uint8_t; };
-template <> struct PackedTypes<block_q8_0> { using type = int8_t; };
-template <typename T> using packed_B_type = typename PackedTypes<T>::type;
-
-template <typename T>
-struct do_compensate : std::integral_constant<bool,
- std::is_same<T, block_q8_0>::value> {};
-
-template <typename T>
-struct do_unpack : std::integral_constant<bool,
- std::is_same<T, block_q4_0>::value ||
- std::is_same<T, block_q4_1>::value> {};
-
-template <typename T>
-struct is_type_qkk : std::integral_constant<bool,
- std::is_same<T, block_q4_K>::value ||
- std::is_same<T, block_q5_K>::value ||
- std::is_same<T, block_q6_K>::value ||
- std::is_same<T, block_iq4_xs>::value> {};
-
-#define GGML_DISPATCH_FLOATING_TYPES(TYPE, ...) \
- [&] { \
- switch (TYPE) { \
- case GGML_TYPE_F16: { \
- using type = ggml_fp16_t; \
- constexpr int blck_size = 16; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_BF16: { \
- using type = ggml_bf16_t; \
- constexpr int blck_size = 32; \
- return __VA_ARGS__(); \
- } \
- default: \
- fprintf(stderr, "Unsupported floating data type\n"); \
- } \
- }()
-
-#define GGML_DISPATCH_QTYPES(QT, ...) \
- [&] { \
- switch (QT) { \
- case GGML_TYPE_Q4_0: { \
- using type = block_q4_0; \
- using vec_dot_type = block_q8_0; \
- constexpr int blck_size = QK4_0; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_Q4_1: { \
- using type = block_q4_1; \
- using vec_dot_type = block_q8_1; \
- constexpr int blck_size = QK4_1; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_Q8_0: { \
- using type = block_q8_0; \
- using vec_dot_type = block_q8_0; \
- constexpr int blck_size = QK8_0; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_Q4_K: { \
- using type = block_q4_K; \
- using vec_dot_type = block_q8_K; \
- constexpr int blck_size = QK_K; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_Q5_K: { \
- using type = block_q5_K; \
- using vec_dot_type = block_q8_K; \
- constexpr int blck_size = QK_K; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_Q6_K: { \
- using type = block_q6_K; \
- using vec_dot_type = block_q8_K; \
- constexpr int blck_size = QK_K; \
- return __VA_ARGS__(); \
- } \
- case GGML_TYPE_IQ4_XS: { \
- using type = block_iq4_xs; \
- using vec_dot_type = block_q8_K; \
- constexpr int blck_size = QK_K; \
- return __VA_ARGS__(); \
- } \
- default: \
- fprintf(stderr, "Unsupported quantized data type: %d\n", int(TYPE)); \
- } \
- }()
-
-#define GGML_DISPATCH_BOOL(BOOL_V, BOOL_NAME, ...) \
- [&] { \
- if (BOOL_V) { \
- constexpr bool BOOL_NAME = true; \
- return __VA_ARGS__(); \
- } else { \
- constexpr bool BOOL_NAME = false; \
- return __VA_ARGS__(); \
- } \
- }()
-
-// define amx tile config data structure
-struct tile_config_t{
- uint8_t palette_id = 0;
- uint8_t start_row = 0;
- uint8_t reserved_0[14] = {0};
- uint16_t colsb[16] = {0};
- uint8_t rows[16] = {0};
-};
-
-// Notes: amx tile config
-//
-// Typically, TMUL calculates A and B of size 16 x 64 containing INT8 values,
-// and accumulate the result to a 16 x 16 matrix C containing INT32 values,
-//
-// As many GGUF quantized types as `block_size` of 32, so a 16-16-32 config is used
-// instead of the normally used 16-16-64 config.
-//
-// Block A: {16, 32}, dtype = int8_t
-// Block B: {16, 32}, dtype = uint8_t/int8_t
-// Block C: {16, 16}, dtype = int32_t
-//
-// Block B needs to be prepacked to vnni format before feeding into TMUL:
-// packed_B: from {n, k} to {k/vnni_blk, n, vnni_blck}, viewed in 2d, we get {8, 64}
-//
-// Therefore, we get tileconfig:
-// A B C
-// rows 16 8 16
-// colsb 32 64 16
-//
-// For tile distribution, follow a 2-2-4 pattern, e.g. A used TMM2-TMM3, B used TMM0-TMM1,
-// C used TMM4-TMM7:
-// B TMM0 B TMM1
-// A TMM2 C TMM4 C TMM6
-// A TMM3 C TMM5 C TMM7
-//
-// Each `amx` kernel handles 4 blocks at a time: 2MB * 2NB, when m < 2 * BLOCK_M, unpack A
-// will be needed.
-//
-// Here another commonly used pattern 1-3-3 is skipped, as it is mostly used when m <=16;
-// and the sinlge batch gemm (m=1) has a special fast path with `avx512-vnni`.
-//
-// ref: https://www.intel.com/content/www/us/en/developer/articles/code-sample/
-// advanced-matrix-extensions-intrinsics-functions.html
-//
-
-#define TC_CONFIG_TILE(i, r, cb) tc.rows[i] = r; tc.colsb[i] = cb
-void ggml_tile_config_init(void) {
- static thread_local bool is_first_time = true;
-
- if (!is_first_time) {
- return;
- }
-
- static thread_local tile_config_t tc;
- tile_config_t current_tc;
- _tile_storeconfig(¤t_tc);
-
- // load only when config changes
- if (tc.palette_id == 0 || (memcmp(¤t_tc.colsb, &tc.colsb, sizeof(uint16_t) * 8) != 0 &&
- memcmp(¤t_tc.rows, &tc.rows, sizeof(uint8_t) * 8) != 0)) {
- tc.palette_id = 1;
- tc.start_row = 0;
- TC_CONFIG_TILE(TMM0, 8, 64);
- TC_CONFIG_TILE(TMM1, 8, 64);
- TC_CONFIG_TILE(TMM2, 16, 32);
- TC_CONFIG_TILE(TMM3, 16, 32);
- TC_CONFIG_TILE(TMM4, 16, 64);
- TC_CONFIG_TILE(TMM5, 16, 64);
- TC_CONFIG_TILE(TMM6, 16, 64);
- TC_CONFIG_TILE(TMM7, 16, 64);
- _tile_loadconfig(&tc);
- }
-
- is_first_time = false;
-}
-
-// we need an extra 16 * 4B (TILE_N * int32_t) for each NB/KB block for compensation.
-// See the notes `s8s8 igemm compensation in avx512-vnni` for detail.
-template <typename TB>
-int get_tile_size() {
- int tile_size = TILE_N * sizeof(TB);
- if (do_compensate<TB>::value) {
- tile_size += TILE_N * sizeof(int32_t);
- }
- if (std::is_same<TB, block_q4_K>::value ||
- std::is_same<TB, block_q5_K>::value) {
- tile_size += TILE_N * 4;
- }
- if (std::is_same<TB, block_iq4_xs>::value) {
- tile_size += TILE_N * 2;
- }
- return tile_size;
-}
-
-template <typename TB, int BLOCK_K>
-int get_row_size(int K) {
- int KB = K / BLOCK_K;
- int row_size = KB * sizeof(TB);
- if (do_compensate<TB>::value) {
- row_size += KB * sizeof(int32_t);
- }
- if (std::is_same<TB, block_q4_K>::value ||
- std::is_same<TB, block_q5_K>::value) {
- row_size += KB * 4;
- }
- if (std::is_same<TB, block_iq4_xs>::value) {
- row_size += KB * 2;
- }
- return row_size;
-}
-
-// vectorized dtype conversion
-inline float FP16_TO_FP32(ggml_half val) {
- __m256i v = _mm256_setr_epi16(
- val, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0);
- __m512 o = _mm512_cvtph_ps(v);
- return _mm512_cvtss_f32(o);
-}
-
-inline __m512 FP16_TO_FP32_VEC(ggml_half val) {
- __m256i v = _mm256_set1_epi16(val);
- return _mm512_cvtph_ps(v);
-}
-
-// horizontal reduce
-inline float _mm512_reduce_max_ps(const __m512 x) {
- __m512 v = x;
- __m512 v1 = _mm512_shuffle_f32x4(v, v, 0x4E);
- v = _mm512_max_ps(v, v1);
- v1 = _mm512_shuffle_f32x4(v, v, 0xB1);
- v = _mm512_max_ps(v, v1);
- v1 = _mm512_shuffle_ps(v, v, 0x4E);
- v = _mm512_max_ps(v, v1);
- v1 = _mm512_shuffle_ps(v, v, 0xB1);
- v = _mm512_max_ps(v, v1);
- return _mm512_cvtss_f32(v);
-}
-
-// transpose utils
-#define SHUFFLE_EPI32(a, b, mask) \
- _mm256_castps_si256(_mm256_shuffle_ps(_mm256_castsi256_ps(a), _mm256_castsi256_ps(b), mask))
-inline void transpose_8x8_32bit(__m256i * v, __m256i * v1) {
- // unpacking and 32-bit elements
- v1[0] = _mm256_unpacklo_epi32(v[0], v[1]);
- v1[1] = _mm256_unpackhi_epi32(v[0], v[1]);
- v1[2] = _mm256_unpacklo_epi32(v[2], v[3]);
- v1[3] = _mm256_unpackhi_epi32(v[2], v[3]);
- v1[4] = _mm256_unpacklo_epi32(v[4], v[5]);
- v1[5] = _mm256_unpackhi_epi32(v[4], v[5]);
- v1[6] = _mm256_unpacklo_epi32(v[6], v[7]);
- v1[7] = _mm256_unpackhi_epi32(v[6], v[7]);
-
- // shuffling the 32-bit elements
- v[0] = SHUFFLE_EPI32(v1[0], v1[2], 0x44);
- v[1] = SHUFFLE_EPI32(v1[0], v1[2], 0xee);
- v[2] = SHUFFLE_EPI32(v1[4], v1[6], 0x44);
- v[3] = SHUFFLE_EPI32(v1[4], v1[6], 0xee);
- v[4] = SHUFFLE_EPI32(v1[1], v1[3], 0x44);
- v[5] = SHUFFLE_EPI32(v1[1], v1[3], 0xee);
- v[6] = SHUFFLE_EPI32(v1[5], v1[7], 0x44);
- v[7] = SHUFFLE_EPI32(v1[5], v1[7], 0xee);
-
- // shuffling 128-bit elements
- v1[0] = _mm256_permute2f128_si256(v[2], v[0], 0x02);
- v1[1] = _mm256_permute2f128_si256(v[3], v[1], 0x02);
- v1[2] = _mm256_permute2f128_si256(v[6], v[4], 0x02);
- v1[3] = _mm256_permute2f128_si256(v[7], v[5], 0x02);
- v1[4] = _mm256_permute2f128_si256(v[2], v[0], 0x13);
- v1[5] = _mm256_permute2f128_si256(v[3], v[1], 0x13);
- v1[6] = _mm256_permute2f128_si256(v[6], v[4], 0x13);
- v1[7] = _mm256_permute2f128_si256(v[7], v[5], 0x13);
-}
-
-inline void transpose_16x4_32bit(__m512i * r, __m512i * d) {
-
- static const __m512i index1 = _mm512_set_epi32(
- 0x0f, 0x0b, 0x07, 0x03,
- 0x0e, 0x0a, 0x06, 0x02,
- 0x0d, 0x09, 0x05, 0x01,
- 0x0c, 0x08, 0x04, 0x00);
-
- d[0] = _mm512_permutexvar_epi32(index1, r[0]);
- d[1] = _mm512_permutexvar_epi32(index1, r[1]);
- d[2] = _mm512_permutexvar_epi32(index1, r[2]);
- d[3] = _mm512_permutexvar_epi32(index1, r[3]);
-
- r[0] = _mm512_shuffle_i32x4(d[0], d[1], 0x44);
- r[1] = _mm512_shuffle_i32x4(d[0], d[1], 0xee);
- r[2] = _mm512_shuffle_i32x4(d[2], d[3], 0x44);
- r[3] = _mm512_shuffle_i32x4(d[2], d[3], 0xee);
-
- d[0] = _mm512_shuffle_i32x4(r[0], r[2], 0x88);
- d[1] = _mm512_shuffle_i32x4(r[0], r[2], 0xdd);
- d[2] = _mm512_shuffle_i32x4(r[1], r[3], 0x88);
- d[3] = _mm512_shuffle_i32x4(r[1], r[3], 0xdd);
-}
-
-inline void transpose_16x16_32bit(__m512i * v) {
- __m512i v1[16];
- v1[0] = _mm512_unpacklo_epi32(v[0], v[1]);
- v1[1] = _mm512_unpackhi_epi32(v[0], v[1]);
- v1[2] = _mm512_unpacklo_epi32(v[2], v[3]);
- v1[3] = _mm512_unpackhi_epi32(v[2], v[3]);
- v1[4] = _mm512_unpacklo_epi32(v[4], v[5]);
- v1[5] = _mm512_unpackhi_epi32(v[4], v[5]);
- v1[6] = _mm512_unpacklo_epi32(v[6], v[7]);
- v1[7] = _mm512_unpackhi_epi32(v[6], v[7]);
- v1[8] = _mm512_unpacklo_epi32(v[8], v[9]);
- v1[9] = _mm512_unpackhi_epi32(v[8], v[9]);
- v1[10] = _mm512_unpacklo_epi32(v[10], v[11]);
- v1[11] = _mm512_unpackhi_epi32(v[10], v[11]);
- v1[12] = _mm512_unpacklo_epi32(v[12], v[13]);
- v1[13] = _mm512_unpackhi_epi32(v[12], v[13]);
- v1[14] = _mm512_unpacklo_epi32(v[14], v[15]);
- v1[15] = _mm512_unpackhi_epi32(v[14], v[15]);
-
- v[0] = _mm512_unpacklo_epi64(v1[0], v1[2]);
- v[1] = _mm512_unpackhi_epi64(v1[0], v1[2]);
- v[2] = _mm512_unpacklo_epi64(v1[1], v1[3]);
- v[3] = _mm512_unpackhi_epi64(v1[1], v1[3]);
- v[4] = _mm512_unpacklo_epi64(v1[4], v1[6]);
- v[5] = _mm512_unpackhi_epi64(v1[4], v1[6]);
- v[6] = _mm512_unpacklo_epi64(v1[5], v1[7]);
- v[7] = _mm512_unpackhi_epi64(v1[5], v1[7]);
- v[8] = _mm512_unpacklo_epi64(v1[8], v1[10]);
- v[9] = _mm512_unpackhi_epi64(v1[8], v1[10]);
- v[10] = _mm512_unpacklo_epi64(v1[9], v1[11]);
- v[11] = _mm512_unpackhi_epi64(v1[9], v1[11]);
- v[12] = _mm512_unpacklo_epi64(v1[12], v1[14]);
- v[13] = _mm512_unpackhi_epi64(v1[12], v1[14]);
- v[14] = _mm512_unpacklo_epi64(v1[13], v1[15]);
- v[15] = _mm512_unpackhi_epi64(v1[13], v1[15]);
-
- v1[0] = _mm512_shuffle_i32x4(v[0], v[4], 0x88);
- v1[1] = _mm512_shuffle_i32x4(v[1], v[5], 0x88);
- v1[2] = _mm512_shuffle_i32x4(v[2], v[6], 0x88);
- v1[3] = _mm512_shuffle_i32x4(v[3], v[7], 0x88);
- v1[4] = _mm512_shuffle_i32x4(v[0], v[4], 0xdd);
- v1[5] = _mm512_shuffle_i32x4(v[1], v[5], 0xdd);
- v1[6] = _mm512_shuffle_i32x4(v[2], v[6], 0xdd);
- v1[7] = _mm512_shuffle_i32x4(v[3], v[7], 0xdd);
- v1[8] = _mm512_shuffle_i32x4(v[8], v[12], 0x88);
- v1[9] = _mm512_shuffle_i32x4(v[9], v[13], 0x88);
- v1[10] = _mm512_shuffle_i32x4(v[10], v[14], 0x88);
- v1[11] = _mm512_shuffle_i32x4(v[11], v[15], 0x88);
- v1[12] = _mm512_shuffle_i32x4(v[8], v[12], 0xdd);
- v1[13] = _mm512_shuffle_i32x4(v[9], v[13], 0xdd);
- v1[14] = _mm512_shuffle_i32x4(v[10], v[14], 0xdd);
- v1[15] = _mm512_shuffle_i32x4(v[11], v[15], 0xdd);
-
- v[0] = _mm512_shuffle_i32x4(v1[0], v1[8], 0x88);
- v[1] = _mm512_shuffle_i32x4(v1[1], v1[9], 0x88);
- v[2] = _mm512_shuffle_i32x4(v1[2], v1[10], 0x88);
- v[3] = _mm512_shuffle_i32x4(v1[3], v1[11], 0x88);
- v[4] = _mm512_shuffle_i32x4(v1[4], v1[12], 0x88);
- v[5] = _mm512_shuffle_i32x4(v1[5], v1[13], 0x88);
- v[6] = _mm512_shuffle_i32x4(v1[6], v1[14], 0x88);
- v[7] = _mm512_shuffle_i32x4(v1[7], v1[15], 0x88);
- v[8] = _mm512_shuffle_i32x4(v1[0], v1[8], 0xdd);
- v[9] = _mm512_shuffle_i32x4(v1[1], v1[9], 0xdd);
- v[10] = _mm512_shuffle_i32x4(v1[2], v1[10], 0xdd);
- v[11] = _mm512_shuffle_i32x4(v1[3], v1[11], 0xdd);
- v[12] = _mm512_shuffle_i32x4(v1[4], v1[12], 0xdd);
- v[13] = _mm512_shuffle_i32x4(v1[5], v1[13], 0xdd);
- v[14] = _mm512_shuffle_i32x4(v1[6], v1[14], 0xdd);
- v[15] = _mm512_shuffle_i32x4(v1[7], v1[15], 0xdd);
-}
-
-void quantize_row_q8_K_vnni(const float * RESTRICT x, void * RESTRICT vy, int64_t k) {
- assert(k % QK_K == 0);
- const int KB = k / QK_K;
- constexpr int kVecs = QK_K / 16;
-
- block_q8_K * y = reinterpret_cast<block_q8_K *>(vy);
-
- // hold 16 float vecs from x
- __m512 v[kVecs];
-
- // hold the quants vecs
- __m512i vq[kVecs / 4];
-
- // hold the packed quants vecs
- __m512i vq_packed[kVecs / 4];
-
- const __m512 signBit = _mm512_set1_ps(-0.f);
-
- for (int i = 0; i < KB; ++i) {
- // Compute max(abs(e)) for the block
- __m512 vamax = _mm512_set1_ps(0.f);
- for (int j = 0; j < kVecs; ++j) {
- v[j] = _mm512_loadu_ps(x); x += 16;
- vamax = _mm512_max_ps(vamax, _mm512_andnot_ps(signBit, v[j]));
- }
- const float amax = _mm512_reduce_max_ps(vamax);
-
- // Quantize these floats
- const float iscale = 127.f / amax;
- y[i].d = GGML_FP32_TO_FP16(1 / iscale);
- const float id = ( amax != 0.0f ) ? iscale : 0.f;
- const __m512 vscale = _mm512_set1_ps(id);
-
- // Apply multiplier and round to nearest integer
- for (int j = 0; j < kVecs; ++j) {
- v[j] = _mm512_mul_ps(v[j], vscale);
- v[j] = _mm512_roundscale_ps(v[j], (_MM_FROUND_TO_NEAREST_INT | _MM_FROUND_NO_EXC));
- }
-
- // Pack to epi8 vecs
- for (int j = 0; j < kVecs / 4; ++j) {
- __m128i q8_0 = _mm512_cvtepi32_epi8(_mm512_cvtps_epi32(v[j * 4 + 0]));
- __m128i q8_1 = _mm512_cvtepi32_epi8(_mm512_cvtps_epi32(v[j * 4 + 1]));
- __m128i q8_2 = _mm512_cvtepi32_epi8(_mm512_cvtps_epi32(v[j * 4 + 2]));
- __m128i q8_3 = _mm512_cvtepi32_epi8(_mm512_cvtps_epi32(v[j * 4 + 3]));
-
- __m256i q8_01 = _mm256_insertf128_si256(_mm256_castsi128_si256(q8_0), (q8_1), 1);
- __m256i q8_23 = _mm256_insertf128_si256(_mm256_castsi128_si256(q8_2), (q8_3), 1);
-
- vq[j] = _mm512_inserti32x8(_mm512_castsi256_si512(q8_01), q8_23, 1);
- _mm512_storeu_si512((__m512i *)(y[i].qs + j * 64), vq[j]);
- }
-
- // Compute the bsums with vnni
- transpose_16x4_32bit(vq, vq_packed);
-
- const __m512i one = _mm512_set1_epi8(1);
- __m512i sum = _mm512_setzero_si512();
- for (int k = 0; k < 4; ++k) {
- sum = _mm512_dpbusd_epi32(sum, one, vq_packed[k]);
- }
- _mm256_storeu_si256((__m256i *)(y[i].bsums), _mm512_cvtepi32_epi16(sum));
- }
-}
-
-// quantize A from float to `vec_dot_type`
-template <typename T>
-inline void from_float(const float * x, char * vy, int64_t k);
-
-template <>
-inline void from_float<block_q8_0>(const float * x, char * vy, int64_t k) {
- // FIXME: using unoptimized reference impl until moved to CPU backend
- quantize_row_q8_0_ref(x, (block_q8_0 *)vy, k);
-}
-
-template <>
-inline void from_float<block_q8_1>(const float * x, char * vy, int64_t k) {
- quantize_row_q8_1_ref(x, (block_q8_1 *)vy, k);
-}
-
-template <>
-inline void from_float<block_q8_K>(const float * x, char * vy, int64_t k) {
-#if 1
- // TODO: this is reference impl!
- quantize_row_q8_K_ref(x, (block_q8_K *)vy, k);
-#else
- quantize_row_q8_K_vnni(x, vy, k);
-#endif
-}
-
-// load A from memory to array when nrows can not fill in whole tile
-void unpack_A(int8_t * RESTRICT tile, const block_q8_0 * RESTRICT A, int lda, int nr) {
- assert(nr != TILE_M);
- for (int m = 0; m < nr; ++m) {
- const __m256i v = _mm256_loadu_si256((const __m256i *)(A[m * lda].qs));
- _mm256_storeu_si256((__m256i *)(tile + m * TILE_K), v);
- }
-}
-
-void unpack_A(int8_t * RESTRICT tile, const block_q8_1 * RESTRICT A, int lda, int nr) {
- assert(nr != TILE_M);
- for (int m = 0; m < nr; ++m) {
- const __m256i v = _mm256_loadu_si256((const __m256i *)(A[m * lda].qs));
- _mm256_storeu_si256((__m256i *)(tile + m * TILE_K), v);
- }
-}
-
-template <typename TB>
-void unpack_A(int8_t * RESTRICT tile, const block_q8_K * RESTRICT A, int lda, int k, int nr) {
- assert(nr <= TILE_M);
- for (int m = 0; m < nr; ++m) {
- const __m256i v = _mm256_loadu_si256((const __m256i *)(A[m * lda].qs + k * 32));
- _mm256_storeu_si256((__m256i *)(tile + m * TILE_K), v);
- }
-}
-
-template <>
-void unpack_A<block_q6_K>(int8_t * RESTRICT tile, const block_q8_K * RESTRICT A, int lda, int k, int nr) {
- assert(nr <= TILE_M);
- // zero padding k from 16 to 32, so that we don't have to re-config amx
- const __m128i zero = _mm_setzero_si128();
- for (int m = 0; m < nr; ++m) {
- const __m128i v = _mm_loadu_si128((const __m128i *)(A[m * lda].qs + k * 16));
- const __m256i r = _mm256_insertf128_si256(_mm256_castsi128_si256(v), zero, 1);
- _mm256_storeu_si256((__m256i *)(tile + m * TILE_K), r);
- }
-}
-
-#define MM256_SET_M128I(a, b) _mm256_insertf128_si256(_mm256_castsi128_si256(b), (a), 1)
-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);
-}
-
-// used for block_q4_K
-inline __m512i bytes_from_nibbles_64(const uint8_t * rsi) {
- const __m256i tmp = _mm256_loadu_si256((const __m256i *)rsi);
- const __m256i lowMask = _mm256_set1_epi8(0xF);
- const __m256i q4l = _mm256_and_si256(tmp, lowMask);
- const __m256i q4h = _mm256_and_si256(_mm256_srli_epi16(tmp, 4), lowMask);
- return _mm512_inserti32x8(_mm512_castsi256_si512(q4l), q4h, 1);
-}
-
-// used for block_q5_K
-inline __m512i bytes_from_nibbles_64(const uint8_t * qs, const uint8_t * qh, int k) {
- const __m256i lowMask = _mm256_set1_epi8(0xF);
- __m256i hmask = _mm256_set1_epi8(1);
- hmask = _mm256_slli_epi16(hmask, k);
-
- const __m256i q5bits = _mm256_loadu_si256((const __m256i *)qs);
- const __m256i hbits = _mm256_loadu_si256((const __m256i *)qh);
-
- const __m256i q5l_0 = _mm256_and_si256(q5bits, lowMask);
- const __m256i q5h_0 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_and_si256(hbits, hmask), k + 0), 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), lowMask);
- const __m256i q5h_1 = _mm256_slli_epi16(_mm256_srli_epi16(_mm256_and_si256(hbits, hmask), k + 1), 4);
- const __m256i q5_1 = _mm256_add_epi8(q5l_1, q5h_1);
-
- return _mm512_inserti32x8(_mm512_castsi256_si512(q5_0), q5_1, 1);
-}
-
-// used for block_q6_K
-inline void bytes_from_nibbles_128(__m512i& r0, __m512i& r1, const uint8_t * qs, const uint8_t * qh) {
- const __m256i m4 = _mm256_set1_epi8(0xF);
- const __m256i m2 = _mm256_set1_epi8(0x3);
-
- const __m256i q6bits1 = _mm256_loadu_si256((const __m256i *)qs);
- const __m256i q6bits2 = _mm256_loadu_si256((const __m256i *)(qs + 32));
- const __m256i q6bitsH = _mm256_loadu_si256((const __m256i *)qh);
-
- const __m256i q6h_0 = _mm256_slli_epi16(_mm256_and_si256( q6bitsH, m2), 4);
- const __m256i q6h_1 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q6bitsH, 2), m2), 4);
- const __m256i q6h_2 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q6bitsH, 4), m2), 4);
- const __m256i q6h_3 = _mm256_slli_epi16(_mm256_and_si256(_mm256_srli_epi16(q6bitsH, 6), m2), 4);
-
- const __m256i q6_0 = _mm256_or_si256(_mm256_and_si256(q6bits1, m4), q6h_0);
- const __m256i q6_1 = _mm256_or_si256(_mm256_and_si256(q6bits2, m4), q6h_1);
- const __m256i q6_2 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q6bits1, 4), m4), q6h_2);
- const __m256i q6_3 = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(q6bits2, 4), m4), q6h_3);
-
- r0 = _mm512_inserti32x8(_mm512_castsi256_si512(q6_0), q6_1, 1);
- r1 = _mm512_inserti32x8(_mm512_castsi256_si512(q6_2), q6_3, 1);
-}
-
-inline __m512i packNibbles(__m512i r0, __m512i r1) {
- return _mm512_or_si512(r0, _mm512_slli_epi16(r1, 4));
-}
-
-template <typename TB>
-inline void pack_qs(void * RESTRICT packed_B, const TB * RESTRICT B, int KB) {
- int8_t tmp[8 * 64];
- __m256i v[8], v2[8];
- for (int n = 0; n < 8; ++n) {
- v[n] = bytes_from_nibbles_32(B[n * KB].qs);
- }
- transpose_8x8_32bit(v, v2);
- for (int n = 0; n < 8; ++n) {
- _mm256_storeu_si256((__m256i *)(tmp + n * 64), v2[n]);
- }
- for (int n = 0; n < 8; ++n) {
- v[n] = bytes_from_nibbles_32(B[(n + 8) * KB].qs);
- }
- transpose_8x8_32bit(v, v2);
- for (int n = 0; n < 8; ++n) {
- _mm256_storeu_si256((__m256i *)(tmp + n * 64 + 32), v2[n]);
- }
-
- // pack again with 128 to fully utilize vector length
- for (int n = 0; n < 8; n += 2) {
- __m512i r0 = _mm512_loadu_si512((const __m512i *)(tmp + n * 64));
- __m512i r1 = _mm512_loadu_si512((const __m512i *)(tmp + n * 64 + 64));
- __m512i r1r0 = packNibbles(r0, r1);
- _mm512_storeu_si512((__m512i *)((char *)packed_B + n * 32), r1r0);
- }
-}
-
-template <>
-inline void pack_qs<block_q8_0>(void * RESTRICT packed_B, const block_q8_0 * RESTRICT B, int KB) {
- __m256i v[8], v2[8];
- for (int n = 0; n < 8; ++n) {
- v[n] = _mm256_loadu_si256((const __m256i *)(B[n * KB].qs));
- }
- transpose_8x8_32bit(v, v2);
- for (int n = 0; n < 8; ++n) {
- _mm256_storeu_si256((__m256i *)((char *)packed_B + n * 64), v2[n]);
- }
- for (int n = 0; n < 8; ++n) {
- v[n] = _mm256_loadu_si256((const __m256i *)(B[(n + 8) * KB].qs));
- }
- transpose_8x8_32bit(v, v2);
- for (int n = 0; n < 8; ++n) {
- _mm256_storeu_si256((__m256i *)((char *)packed_B + n * 64 + 32), v2[n]);
- }
-}
-
-template <>
-inline void pack_qs<block_q4_K>(void * RESTRICT packed_B, const block_q4_K * RESTRICT B, int KB) {
- __m512i v[16];
- // QK_K 256 with 8 groups, handle 2 groups at a time
- char * pb = (char *)packed_B;
- for (int k = 0; k < QK_K / 64; ++k) {
- // pack 2 groups { n, g, k} to {g, k/4, 4n}
- // e.g. {16, 2, 32} to {2, 8, 64}
- for (int n = 0; n < TILE_N; ++n) {
- v[n] = bytes_from_nibbles_64(B[n * KB].qs + k * 32);
- }
-
- transpose_16x16_32bit(v);
-
- // pack again with 128 to fully utilize vector length
- for (int n = 0; n < TILE_N; n += 2) {
- _mm512_storeu_si512((__m512i *)pb, packNibbles(v[n], v[n + 1]));
- pb += 64;
- }
- }
-}
-
-template <>
-inline void pack_qs<block_q5_K>(void * RESTRICT packed_B, const block_q5_K * RESTRICT B, int KB) {
- __m512i v[16];
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- // QK_K 256 with 8 groups, handle 2 groups at a time
- char * pb = (char *)packed_B;
- char * ph = (char *)packed_B + (QK_K / 2) * TILE_N;
- for (int k = 0; k < QK_K / 64; ++k) {
- // pack 2 groups { n, g, k} to {g, k/4, 4n}
- // e.g. {16, 2, 32} to {2, 8, 64}
- for (int n = 0; n < TILE_N; ++n) {
- v[n] = bytes_from_nibbles_64(B[n * KB].qs + k * 32, B[n * KB].qh, /* group */2 * k);
- }
-
- transpose_16x16_32bit(v);
-
- // 1. pack lower 4bits with 2 groups
- for (int n = 0; n < TILE_N; n += 2) {
- // get lower 4 bits
- const __m512i r0 = _mm512_and_si512(v[n], lowMask);
- const __m512i r1 = _mm512_and_si512(v[n + 1], lowMask);
- _mm512_storeu_si512((__m512i *)pb, packNibbles(r0, r1)); pb += 64;
- }
-
- // 2. pack higher 1bit with 2 groups
- const __m512i hmask = _mm512_set1_epi8(0x10);
- for (int g = 0; g < 2; ++g) {
- __m512i hbits = _mm512_setzero_si512();
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 8 + 0], hmask), 4));
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 8 + 1], hmask), 3));
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 8 + 2], hmask), 2));
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 8 + 3], hmask), 1));
- hbits = _mm512_add_epi8(hbits, _mm512_and_si512(v[g * 8 + 4], hmask) );
- hbits = _mm512_add_epi8(hbits, _mm512_slli_epi16(_mm512_and_si512(v[g * 8 + 5], hmask), 1));
- hbits = _mm512_add_epi8(hbits, _mm512_slli_epi16(_mm512_and_si512(v[g * 8 + 6], hmask), 2));
- hbits = _mm512_add_epi8(hbits, _mm512_slli_epi16(_mm512_and_si512(v[g * 8 + 7], hmask), 3));
- _mm512_storeu_si512((__m512i *)ph, hbits); ph += 64;
- }
- }
-}
-
-template <>
-inline void pack_qs<block_q6_K>(void * RESTRICT packed_B, const block_q6_K * RESTRICT B, int KB) {
- __m512i v[32];
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- // QK_K 256 with 8 groups, handle 4 groups at a time
- char * pb = (char *)packed_B;
- char * ph = (char *)packed_B + (QK_K / 2) * TILE_N;
- for (int k = 0; k < QK_K / 128; ++k) {
- for (int n = 0; n < TILE_N; ++n) {
- bytes_from_nibbles_128(v[n], v[n + 16], B[n * KB].ql + k * 64, B[n * KB].qh + k * 32);
- }
-
- // top half: group 0,1 or 4,5; bottom half: group 2,3 or 6,7
- transpose_16x16_32bit(v);
- transpose_16x16_32bit(v + 16);
-
- // 1. pack lower 4bits with 4 groups
- for (int n = 0; n < 32; n += 2) {
- const __m512i r0 = _mm512_and_si512(v[n], lowMask);
- const __m512i r1 = _mm512_and_si512(v[n + 1], lowMask);
- _mm512_storeu_si512((__m512i *)pb, packNibbles(r0, r1)); pb += 64;
- }
-
- // 2. pack higher 2bit with 4 groups
- const __m512i hmask = _mm512_set1_epi8(0x30);
- for (int g = 0; g < 8; ++g) {
- __m512i hbits = _mm512_setzero_si512();
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 4 + 0], hmask), 4));
- hbits = _mm512_add_epi8(hbits, _mm512_srli_epi16(_mm512_and_si512(v[g * 4 + 1], hmask), 2));
- hbits = _mm512_add_epi8(hbits, _mm512_and_si512(v[g * 4 + 2], hmask) );
- hbits = _mm512_add_epi8(hbits, _mm512_slli_epi16(_mm512_and_si512(v[g * 4 + 3], hmask), 2));
- _mm512_storeu_si512((__m512i *)ph, hbits); ph += 64;
- }
- }
-}
-
-template <>
-inline void pack_qs<block_iq4_xs>(void * RESTRICT packed_B, const block_iq4_xs * RESTRICT B, int KB) {
- __m512i v[16];
- char * pb = (char *)packed_B;
- for (int k = 0; k < QK_K / 64; ++k) {
- for (int n = 0; n < TILE_N; ++n) {
- __m256i r0 = bytes_from_nibbles_32(B[n * KB].qs + k * 32 + 0);
- __m256i r1 = bytes_from_nibbles_32(B[n * KB].qs + k * 32 + 16);
- v[n] = _mm512_inserti32x8(_mm512_castsi256_si512(r0), r1, 1);
- }
-
- transpose_16x16_32bit(v);
-
- // pack again with 128 to fully utilize vector length
- for (int n = 0; n < TILE_N; n += 2) {
- _mm512_storeu_si512((__m512i *)pb, packNibbles(v[n], v[n + 1]));
- pb += 64;
- }
- }
-}
-
-// pack B to vnni formats in 4bits or 8 bits
-void pack_B(void * RESTRICT packed_B, const block_q4_0 * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
- ggml_half * d0 = reinterpret_cast<ggml_half *>((char *)packed_B + TILE_N * TILE_K / 2);
- for (int n = 0; n < TILE_N; ++n) {
- d0[n] = B[n * KB].d;
- }
-}
-
-void pack_B(void * RESTRICT packed_B, const block_q4_1 * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
- ggml_half * d0 = reinterpret_cast<ggml_half *>((char *)packed_B + TILE_N * TILE_K / 2);
- ggml_half * m0 = d0 + TILE_N;
- for (int n = 0; n < TILE_N; ++n) {
- d0[n] = B[n * KB].d;
- m0[n] = B[n * KB].m;
- }
-}
-
-inline void s8s8_compensation(void * RESTRICT packed_B) {
- // packed_B layout:
- // quants {TILE_N, TILEK} int8_t
- // d0 {TILE_N} ggml_half
- // comp {TILE_N} int32_t
- const int offset = TILE_N * TILE_K + TILE_N * sizeof(ggml_half);
- __m512i vcomp = _mm512_setzero_si512();
- const __m512i off = _mm512_set1_epi8(static_cast<char>(0x80));
- for (int k = 0; k < 8; ++k) {
- __m512i vb = _mm512_loadu_si512((const __m512i *)((const char *)packed_B + k * 64));
- vcomp = _mm512_dpbusd_epi32(vcomp, off, vb);
- }
- _mm512_storeu_si512((__m512i *)((char *)(packed_B) + offset), vcomp);
-}
-
-void pack_B(void * RESTRICT packed_B, const block_q8_0 * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
- ggml_half * d0 = reinterpret_cast<ggml_half *>((char *)packed_B + TILE_N * TILE_K);
- for (int n = 0; n < TILE_N; ++n) {
- d0[n] = B[n * KB].d;
- }
- s8s8_compensation(packed_B);
-}
-
-// convert 8 * {min, scale} from int6 to int8
-inline void unpack_mins_and_scales(const uint8_t * scales, uint32_t * utmp) {
- const uint32_t kmask1 = 0x3f3f3f3f;
- const uint32_t kmask2 = 0x0f0f0f0f;
- const uint32_t kmask3 = 0x03030303;
-
- memcpy(utmp, 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;
-}
-
-// packed_B layout:
-// quants {8, TILE_N, 16} uint8
-// scales {8, TILE_N} uint8
-// mins {8, TILE_N} uint8
-// d {TILE_N} ggml_half
-// dmin {TILE_N} ggml_half
-void pack_B(void * RESTRICT packed_B, const block_q4_K * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
-
- uint8_t * scales = reinterpret_cast<uint8_t *>((char *)packed_B + (QK_K / 2) * TILE_N);
- uint8_t * mins = scales + 8 * TILE_N;
- ggml_half * d = reinterpret_cast<ggml_half *>(mins + 8 * TILE_N);
- ggml_half * dmin = d + TILE_N;
-
- union {
- uint32_t u32[4];
- uint8_t u8[16];
- } s;
-
- for (int n = 0; n < TILE_N; ++n) {
- unpack_mins_and_scales(B[n * KB].scales, s.u32);
- for (int k = 0; k < 8; ++k) {
- scales[k * TILE_N + n] = s.u8[k];
- mins[(k >> 1) * TILE_N * 2 + n * 2 + (k & 0x1)] = s.u8[k + 8];
- }
- d[n] = B[n * KB].d;
- dmin[n] = B[n * KB].dmin;
- }
-}
-
-// packed_B layout:
-// quants {8, TILE_N, 16} uint8
-// qh {8, TILE_N, 4} uint8
-// scales {8, TILE_N} uint8
-// mins {8, TILE_N} uint8
-// d {TILE_N} ggml_half
-// dmin {TILE_N} ggml_half
-void pack_B(void * RESTRICT packed_B, const block_q5_K * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
-
- uint8_t * scales = reinterpret_cast<uint8_t *>((char *)packed_B + (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N);
- uint8_t * mins = scales + 8 * TILE_N;
- ggml_half * d = reinterpret_cast<ggml_half *>(mins + 8 * TILE_N);
- ggml_half * dmin = d + TILE_N;
-
- union {
- uint32_t u32[4];
- uint8_t u8[16];
- } s;
-
- for (int n = 0; n < TILE_N; ++n) {
- unpack_mins_and_scales(B[n * KB].scales, s.u32);
- for (int k = 0; k < 8; ++k) {
- scales[k * TILE_N + n] = s.u8[k];
- mins[(k >> 1) * TILE_N * 2 + n * 2 + (k & 0x1)] = s.u8[k + 8];
- }
- d[n] = B[n * KB].d;
- dmin[n] = B[n * KB].dmin;
- }
-}
-
-// packed_B layout:
-// quants {16, TILE_N, 8} uint8
-// qh {16, TILE_N, 4} uint8
-// scales {16, TILE_N} uint8
-// d {TILE_N} ggml_half
-void pack_B(void * RESTRICT packed_B, const block_q6_K * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
-
- uint8_t * scales = reinterpret_cast<uint8_t *>((char *)packed_B + (QK_K / 2) * TILE_N + (QK_K / 4) * TILE_N);
- ggml_half * d = reinterpret_cast<ggml_half *>(scales + 16 * TILE_N);
- for (int n = 0; n < TILE_N; ++n) {
- const int8_t * ps = B[n * KB].scales;
- for (int k = 0; k < 16; ++k) {
- scales[k * TILE_N + n] = ps[k];
- }
- d[n] = B[n * KB].d;
- }
-}
-
-// packed_B layout:
-// quants {8, TILE_N, 16} uint8
-// scales {8, TILE_N} int8
-// d {TILE_N} ggml_half
-void pack_B(void * RESTRICT packed_B, const block_iq4_xs * RESTRICT B, int KB) {
- pack_qs(packed_B, B, KB);
-
- int8_t * scales = reinterpret_cast<int8_t *>((char *)packed_B + (QK_K / 2) * TILE_N);
- ggml_half * d = reinterpret_cast<ggml_half *>(scales + 8 * TILE_N);
-
- // pack the scales
- for (int n = 0; n < TILE_N; ++n) {
- uint16_t sh = B[n * KB].scales_h;
- for (int k = 0; k < 8; k += 2) {
- const int16_t ls1 = ((B[n * KB].scales_l[k / 2] & 0xf) | ((sh << 4) & 0x30)) - 32;
- const int16_t ls2 = ((B[n * KB].scales_l[k / 2] >> 4) | ((sh << 2) & 0x30)) - 32;
- scales[(k + 0) * TILE_N + n] = ls1;
- scales[(k + 1) * TILE_N + n] = ls2;
- sh >>= 4;
- }
- d[n] = B[n * KB].d;
- }
-}
-
-template<typename TB, typename packed_B_t = packed_B_type<TB>>
-void unpack_B(packed_B_t * RESTRICT tile, const void * RESTRICT packed_B) {
- GGML_UNUSED(tile);
- GGML_UNUSED(packed_B);
-};
-
-template <>
-void unpack_B<block_q4_0>(int8_t * RESTRICT tile, const void * RESTRICT packed_B) {
- const __m512i off = _mm512_set1_epi8(8);
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- for (int n = 0; n < 8; n += 2) {
- __m512i bytes = _mm512_loadu_si512((const __m512i *)((const char *)packed_B + n * 32));
- const __m512i r0 = _mm512_sub_epi8(_mm512_and_si512(bytes, lowMask), off);
- const __m512i r1 = _mm512_sub_epi8(_mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask), off);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 0), r0);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 64), r1);
- }
-}
-
-template <>
-void unpack_B<block_q4_1>(uint8_t * RESTRICT tile, const void * RESTRICT packed_B) {
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- for (int n = 0; n < 8; n += 2) {
- __m512i bytes = _mm512_loadu_si512((const __m512i *)((const char *)packed_B + n * 32));
- const __m512i r0 = _mm512_and_si512(bytes, lowMask);
- const __m512i r1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 0), r0);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 64), r1);
- }
-}
-
-// packed_B_t for QKK is int8_t
-template <typename TB>
-void unpack_B(int8_t * RESTRICT tile, const void * RESTRICT packed_B, int k) {
- const int packed_B_group_size = QK_K / 2 * TILE_N / 8;
- const char * packed_B_group = (const char *)packed_B + k * packed_B_group_size;
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- for (int n = 0; n < 8; n += 2) {
- __m512i bytes = _mm512_loadu_si512(packed_B_group + n * 32);
- const __m512i r0 = _mm512_and_si512(bytes, lowMask);
- const __m512i r1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 0), r0);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 64), r1);
- }
-}
-
-template <>
-void unpack_B<block_q5_K>(int8_t * RESTRICT tile, const void * RESTRICT packed_B, int k) {
- // lower 4bits, stride 256 bytes
- const int packed_l4_group_size = QK_K / 2 * TILE_N / 8;
- const char * pb = (const char *)packed_B + k * packed_l4_group_size;
-
- // higher 1bit, stride 64 bytes
- const int packed_h1_group_size = QK_K / 8 * TILE_N / 8;
- const char * ph = (const char *)packed_B + (QK_K / 2) * TILE_N + k * packed_h1_group_size;
- const __m512i hbits = _mm512_loadu_si512(ph);
-
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- __m512i hmask0 = _mm512_set1_epi8(0x1);
- __m512i hmask1 = _mm512_set1_epi8(0x2);
-
- for (int n = 0; n < 8; n += 2) {
- __m512i bytes = _mm512_loadu_si512(pb + n * 32);
- __m512i r0 = _mm512_and_si512(bytes, lowMask);
- __m512i r1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- __m512i h0 = _mm512_slli_epi16(_mm512_srli_epi16(_mm512_and_si512(hbits, hmask0), n), 4);
- __m512i h1 = _mm512_slli_epi16(_mm512_srli_epi16(_mm512_and_si512(hbits, hmask1), n + 1), 4);
-
- hmask0 = _mm512_slli_epi16(hmask0, 2);
- hmask1 = _mm512_slli_epi16(hmask1, 2);
- r0 = _mm512_add_epi8(r0, h0);
- r1 = _mm512_add_epi8(r1, h1);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 0), r0);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 64), r1);
- }
-}
-
-template <>
-void unpack_B<block_q6_K>(int8_t * RESTRICT tile, const void * RESTRICT packed_B, int k) {
- // lower 4bits, stride 128 bytes
- const int packed_l4_group_size = QK_K / 2 * TILE_N / 16;
- const char * pb = (const char *)packed_B + k * packed_l4_group_size;
-
- // higher 2bits, stride 64 bytes
- const int packed_h2_group_size = QK_K / 4 * TILE_N / 16;
- const char * ph = (const char *)packed_B + (QK_K / 2) * TILE_N + k * packed_h2_group_size;
- const __m512i hbits = _mm512_loadu_si512(ph);
-
- const __m512i off = _mm512_set1_epi8(32);
- const __m512i lowMask = _mm512_set1_epi8(0xF);
- __m512i hmask0 = _mm512_set1_epi8(0x3); // 0011
- __m512i hmask1 = _mm512_set1_epi8(0xC); // 1100
-
- // notes: skip zero padding from row4 to row7 as we have done so in `unpack_A`
- __m512i bytes = _mm512_loadu_si512(pb);
- __m512i r0 = _mm512_and_si512(bytes, lowMask);
- __m512i r1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- __m512i h0 = _mm512_slli_epi16(_mm512_and_si512(hbits, hmask0), 4);
- __m512i h1 = _mm512_slli_epi16(_mm512_and_si512(hbits, hmask1), 2);
- _mm512_storeu_si512((__m512i *)(tile + 0), _mm512_sub_epi8(_mm512_add_epi8(r0, h0), off));
- _mm512_storeu_si512((__m512i *)(tile + 64), _mm512_sub_epi8(_mm512_add_epi8(r1, h1), off));
-
- hmask0 = _mm512_slli_epi16(hmask0, 4);
- hmask1 = _mm512_slli_epi16(hmask1, 4);
-
- bytes = _mm512_loadu_si512(pb + 64);
- r0 = _mm512_and_si512(bytes, lowMask);
- r1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- h0 = _mm512_and_si512(hbits, hmask0);
- h1 = _mm512_srli_epi16(_mm512_and_si512(hbits, hmask1), 2);
- _mm512_storeu_si512((__m512i *)(tile + 128), _mm512_sub_epi8(_mm512_add_epi8(r0, h0), off));
- _mm512_storeu_si512((__m512i *)(tile + 192), _mm512_sub_epi8(_mm512_add_epi8(r1, h1), off));
-}
-
-template <>
-void unpack_B<block_iq4_xs>(int8_t * RESTRICT tile, const void * RESTRICT packed_B, int k) {
- static const __m512i values128 = _mm512_set_epi8(
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127
- );
-
- const int packed_B_group_size = QK_K / 2 * TILE_N / 8;
- const char * pb = (const char *)packed_B + k * packed_B_group_size;
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- for (int n = 0; n < 8; n += 2) {
- __m512i bytes = _mm512_loadu_si512(pb + n * 32);
- const __m512i r0 = _mm512_shuffle_epi8(values128, _mm512_and_si512(bytes, lowMask));
- const __m512i r1 = _mm512_shuffle_epi8(values128, _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask));
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 0), r0);
- _mm512_storeu_si512((__m512i *)(tile + n * 64 + 64), r1);
- }
-}
-
-template <typename TA, typename TB, bool is_acc>
-struct acc_C {};
-
-template <bool is_acc>
-struct acc_C<block_q8_0, block_q4_0, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_0 * A, int lda, const void * packed_B, int nr) {
- const int offset = TILE_N * TILE_K / 2;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)((const char *)packed_B + offset)));
-
- for (int m = 0; m < nr; ++m) {
- const __m512 vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[m * lda].d));
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
- vsum = _mm512_fmadd_ps(vtile, _mm512_mul_ps(vd0, vd1), vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_1, block_q4_1, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_1 * A, int lda, const void * packed_B, int nr) {
- const int offset = TILE_N * TILE_K / 2;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)((const char *)packed_B + offset)));
- const __m512 vm0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)((const char *)packed_B + offset + TILE_N * sizeof(ggml_half))));
-
- for (int m = 0; m < nr; ++m) {
- const __m512 vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[m * lda].d));
- const __m512 vs1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[m * lda].s));
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
- vsum = _mm512_fmadd_ps(vtile, _mm512_mul_ps(vd0, vd1), vsum);
- vsum = _mm512_fmadd_ps(vm0, vs1, vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_0, block_q8_0, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_0 * A, int lda, const void * packed_B, int nr) {
- const int offset = TILE_N * TILE_K;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)((const char *)packed_B + offset)));
-
- for (int m = 0; m < nr; ++m) {
- const __m512 vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[m * lda].d));
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
- vsum = _mm512_fmadd_ps(vtile, _mm512_mul_ps(vd0, vd1), vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_K, block_q4_K, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_K * A, int lda, const void * packed_B, int nr) {
- const uint8_t * scales = reinterpret_cast<const uint8_t *>((const char *)packed_B + (QK_K / 2) * TILE_N);
- const uint8_t * mins = scales + 8 * TILE_N;
- const ggml_half * d0 = reinterpret_cast<const ggml_half *>(mins + 8 * TILE_N);
- const ggml_half * dmin = d0 + TILE_N;
-
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)d0));
- const __m512 vdmin = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)dmin));
-
- for (int m = 0; m < nr; ++m) {
- const float d1 = A[m * lda].d;
- const __m512 vd = _mm512_mul_ps(_mm512_set1_ps(d1), vd0);
- const __m512 vdm = _mm512_mul_ps(_mm512_set1_ps(-d1), vdmin);
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
-
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[m * lda].bsums);
- const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
-
- __m512i acc_m = _mm512_setzero_si512();
- for (int k = 0; k < 4; ++k) {
- __m512i vmask = _mm512_set1_epi32(k);
- __m512i va = _mm512_permutexvar_epi32(vmask, _mm512_castsi128_si512(q8s));
- __m512i vb = _mm512_cvtepi8_epi16(_mm256_loadu_si256((const __m256i *)(mins + k * 32)));
- acc_m = _mm512_dpwssds_epi32(acc_m, va, vb);
- }
-
- vsum = _mm512_fmadd_ps(vtile, vd, vsum);
- vsum = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc_m), vdm, vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_K, block_q5_K, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_K * A, int lda, const void * packed_B, int nr) {
- const uint8_t * scales = reinterpret_cast<const uint8_t *>((const char *)packed_B + (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N);
- const uint8_t * mins = scales + 8 * TILE_N;
- const ggml_half * d0 = reinterpret_cast<const ggml_half *>(mins + 8 * TILE_N);
- const ggml_half * dmin = d0 + TILE_N;
-
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)d0));
- const __m512 vdmin = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)dmin));
-
- for (int m = 0; m < nr; ++m) {
- const float d1 = A[m * lda].d;
- const __m512 vd = _mm512_mul_ps(_mm512_set1_ps(d1), vd0);
- const __m512 vdm = _mm512_mul_ps(_mm512_set1_ps(-d1), vdmin);
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
-
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[m * lda].bsums);
- const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
-
- __m512i acc_m = _mm512_setzero_si512();
- for (int k = 0; k < 4; ++k) {
- __m512i vmask = _mm512_set1_epi32(k);
- __m512i va = _mm512_permutexvar_epi32(vmask, _mm512_castsi128_si512(q8s));
- __m512i vb = _mm512_cvtepi8_epi16(_mm256_loadu_si256((const __m256i *)(mins + k * 32)));
- acc_m = _mm512_dpwssds_epi32(acc_m, va, vb);
- }
-
- vsum = _mm512_fmadd_ps(vtile, vd, vsum);
- vsum = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc_m), vdm, vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_K, block_q6_K, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_K * A, int lda, const void * packed_B, int nr) {
- const uint8_t * scales = reinterpret_cast<const uint8_t *>((const char *)packed_B + (QK_K / 2) * TILE_N + (QK_K / 4) * TILE_N);
- const ggml_half * d0 = reinterpret_cast<const ggml_half *>(scales + 16 * TILE_N);
-
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)d0));
-
- for (int m = 0; m < nr; ++m) {
- const float d1 = A[m * lda].d;
- const __m512 vd = _mm512_mul_ps(_mm512_set1_ps(d1), vd0);
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
-
- vsum = _mm512_fmadd_ps(vtile, vd, vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <bool is_acc>
-struct acc_C<block_q8_K, block_iq4_xs, is_acc> {
- static void apply(float * RESTRICT C, int ldc, const int32_t * RESTRICT tile, const block_q8_K * A, int lda, const void * packed_B, int nr) {
- const int8_t * scales = reinterpret_cast<const int8_t *>((const char *)packed_B + (QK_K / 2) * TILE_N);
- const ggml_half * d0 = reinterpret_cast<const ggml_half *>(scales + 8 * TILE_N);
-
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)d0));
-
- for (int m = 0; m < nr; ++m) {
- const float d1 = A[m * lda].d;
- const __m512 vd = _mm512_mul_ps(_mm512_set1_ps(d1), vd0);
- const __m512 vtile = _mm512_cvtepi32_ps(_mm512_loadu_si512(tile + m * TILE_N));
-
- __m512 vsum;
- if (is_acc) {
- vsum = _mm512_loadu_ps(C + m * ldc);
- } else {
- vsum = _mm512_set1_ps(0.f);
- }
-
- vsum = _mm512_fmadd_ps(vtile, vd, vsum);
- _mm512_storeu_ps(C + m * ldc, vsum);
- }
- }
-};
-
-template <typename TB> constexpr int get_quants_size();
-template <> constexpr int get_quants_size<block_q4_K>() { return (QK_K / 2) * TILE_N; }
-template <> constexpr int get_quants_size<block_q5_K>() { return (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N; }
-template <> constexpr int get_quants_size<block_q6_K>() { return (QK_K / 2) * TILE_N + (QK_K / 4) * TILE_N; }
-template <> constexpr int get_quants_size<block_iq4_xs>() { return (QK_K / 2) * TILE_N; }
-
-// used for QKK format
-template <typename TB, bool is_acc,
- typename std::enable_if<is_type_qkk<TB>::value, int>::type = 0>
-inline void scale_C(const int32_t * RESTRICT tile, int32_t * RESTRICT sumi, const void * packed_B, int k, int nr) {
- const uint8_t * scales = reinterpret_cast<const uint8_t *>((const char *)packed_B + get_quants_size<TB>());
- const __m512i vscale = _mm512_cvtepi8_epi32(_mm_loadu_si128((const __m128i *)(scales + k * TILE_N)));
-
- for (int m = 0; m < nr; ++m) {
- __m512i vsumi;
- if (is_acc) {
- vsumi = _mm512_loadu_si512(sumi + m * TILE_N);
- } else {
- vsumi = _mm512_setzero_si512();
- }
- __m512i vtile = _mm512_loadu_si512(tile + m * TILE_N);
- vsumi = _mm512_add_epi32(vsumi, _mm512_mullo_epi32(vtile, vscale));
- _mm512_storeu_si512((__m512i *)(sumi + m * TILE_N), vsumi);
- }
-}
-
-template <typename TA, typename TB, typename TC, int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_avx {
- static void apply(int K, const TA * RESTRICT A, const TB * RESTRICT B, TC * RESTRICT C, int ldc) {
- GGML_UNUSED(K);
- GGML_UNUSED(A);
- GGML_UNUSED(B);
- GGML_UNUSED(C);
- GGML_UNUSED(ldc);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_avx<float, ggml_fp16_t, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int K, const float * RESTRICT A, const ggml_fp16_t * RESTRICT B, float * RESTRICT C, int ldc) {
- constexpr int ROWS = BLOCK_M;
- constexpr int COLS = BLOCK_N;
- assert(BLOCK_K == 16);
-
- __m512 va;
- __m512 vb[COLS];
- __m512 vc[ROWS * COLS];
-
- auto loadc = [&](int idx) {
- vc[idx] = _mm512_setzero_ps();
- };
- Unroll<ROWS * COLS>{}(loadc);
-
- auto compute = [&](int idx, int k) {
- // TODO: use `constexpr` here to get rid of interger div
- // when upgraded to C++17
- const int row = idx / COLS;
- const int col = idx % COLS;
-
- if (col == 0) {
- va = _mm512_loadu_ps(A + row * K + k);
- }
- if (row == 0) {
- vb[col] = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(B + col * K + k)));
- }
- vc[idx] = _mm512_fmadd_ps(va, vb[col], vc[idx]);
- };
-
- for (int k = 0; k < K; k += 16) {
- Unroll<ROWS * COLS>{}(compute, k);
- }
-
- auto storec = [&](int idx) {
- const int row = idx / COLS;
- const int col = idx % COLS;
- C[row * ldc + col] = _mm512_reduce_add_ps(vc[idx]);
- };
- Unroll<ROWS * COLS>{}(storec);
- }
-};
-
-#define LAUNCH_TINYGEMM_KERNEL_AVX(MB_SIZE, NB_SIZE) \
- tinygemm_kernel_avx<float, type, float, MB_SIZE, NB_SIZE, blck_size>::apply( \
- K, (const float *)src1->data + mb_start * K, \
- (const type *)src0->data + nb_start * K, \
- (float *)dst->data + mb_start * ldc + nb_start, ldc);
-
-
-// re-organize in the format {NB, KB, TILE_SIZE}:
-#define PACKED_INDEX(n, k, KB, tile_size) (n * KB + k) * tile_size
-
-template<typename TB, int BLOCK_K>
-void convert_B_packed_format(void * RESTRICT packed_B, const TB * RESTRICT B, int N, int K, int n_threads) {
- const int NB = N / TILE_N;
- const int KB = K / BLOCK_K;
- const int TILE_SIZE = get_tile_size<TB>();
-
- // parallel on NB should be enough
- parallel_for(n_threads, NB, [&](int begin, int end) {
- for (int n = begin; n < end; ++n) {
- for (int k = 0; k < KB; ++k) {
- int n0 = n * TILE_N;
- pack_B((char *)packed_B + PACKED_INDEX(n, k, KB, TILE_SIZE), &B[n0 * KB + k], KB);
- }
- }
- });
-}
-
-template <typename TA, typename TB, typename TC, int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni {};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_0, block_q4_0, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q4_0);
-
- const block_q8_0 * RESTRICT A = static_cast<const block_q8_0 *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- __m512i va[8];
- __m512 vc[COLS];
- __m512 vd1;
-
- // sum of offsets, shared across COLS
- //
- // avx512-vnni does not have `_mm512_dpbssd_epi32`,
- // need to transfrom ss to us:
- // a * (b - 8) is equavilent to b * a - 8 * a
- // s u u u s u s
- //
- __m512i vcomp;
-
- const __m512i off = _mm512_set1_epi8(8);
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- auto compute = [&](int col, int i) {
- // load a and compute compensation
- if (col == 0) {
- const int32_t * a_ptr = reinterpret_cast<const int32_t *>(A[0 * KB + i].qs);
- vcomp = _mm512_setzero_si512();
- for (int k = 0; k < 8; ++k) {
- va[k] = _mm512_set1_epi32(a_ptr[k]);
- vcomp = _mm512_dpbusd_epi32(vcomp, off, va[k]);
- }
- vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[0 * KB + i].d));
- }
-
- // load b
- __m512i vsum = _mm512_setzero_si512();
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- for (int k = 0; k < 8; k += 2) {
- __m512i bytes = _mm512_loadu_si512((const __m512i *)(b_ptr + k * 32));
- __m512i vb0 = _mm512_and_si512(bytes, lowMask);
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va[k + 0]);
- __m512i vb1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va[k + 1]);
- }
- const int offset = TILE_N * TILE_K / 2;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset)));
- vsum = _mm512_sub_epi32(vsum, vcomp);
-
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(vsum), _mm512_mul_ps(vd0, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_1, block_q4_1, float, 1, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q4_1);
-
- const block_q8_1 * RESTRICT A = static_cast<const block_q8_1 *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- __m512i va[8];
- __m512i vb[8];
- __m512 vc[COLS];
- __m512 vd1, vs1;
-
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- auto compute = [&](int col, int i) {
- // load a
- if (col == 0) {
- const int32_t * a_ptr = reinterpret_cast<const int32_t *>(A[0 * KB + i].qs);
- for (int k = 0; k < 8; ++k) {
- va[k] = _mm512_set1_epi32(a_ptr[k]);
- }
- vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[0 * KB + i].d));
- vs1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[0 * KB + i].s));
- }
-
- // load b
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- for (int k = 0; k < 8; k += 2) {
- __m512i bytes = _mm512_loadu_si512((const __m512i *)(b_ptr + k * 32));
- vb[k + 0] = _mm512_and_si512(bytes, lowMask);
- vb[k + 1] = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- }
- const int offset = TILE_N * TILE_K / 2;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset)));
- const __m512 vm0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset + TILE_N * sizeof(ggml_half))));
-
- __m512i vsum = _mm512_setzero_si512();
- for (int k = 0; k < 8; ++k) {
- vsum = _mm512_dpbusd_epi32(vsum, vb[k], va[k]);
- }
-
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(vsum), _mm512_mul_ps(vd0, vd1), vc[col]);
- vc[col] = _mm512_fmadd_ps(vm0, vs1, vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_0, block_q8_0, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q8_0) + TILE_N * sizeof(int32_t);
-
- const block_q8_0 * RESTRICT A = static_cast<const block_q8_0 *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- __m512i va[8];
- __m512i vb[8];
- __m512 vc[COLS];
- __m512 vd1;
-
- // Notes: s8s8 igemm compensation in avx512-vnni
- // change s8s8 to u8s8 with compensate
- // a * b = (a + 128) * b - 128 * b
- // s s u s u s
- //
- // (128 * b is pre-computed when packing B to vnni formats)
- //
- const __m512i off = _mm512_set1_epi8(static_cast<char>(0x80));
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- auto compute = [&](int col, int i) {
- // load a and add offset 128
- if (col == 0) {
- const int32_t * a_ptr = reinterpret_cast<const int32_t *>(A[0 * KB + i].qs);
- for (int k = 0; k < 8; ++k) {
- va[k] = _mm512_set1_epi32(a_ptr[k]);
- va[k] = _mm512_add_epi8(va[k], off);
- }
- vd1 = _mm512_set1_ps(GGML_FP16_TO_FP32(A[0 * KB + i].d));
- }
-
- // load b
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- for (int k = 0; k < 8; ++k) {
- vb[k] = _mm512_loadu_si512((const __m512i *)(b_ptr + k * 64));
- }
- const int offset = TILE_N * TILE_K;
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset)));
- const int offset2 = TILE_N * TILE_K + TILE_N * sizeof(ggml_half);
- const __m512i vcomp = _mm512_loadu_si512((const __m512i *)(b_ptr + offset2));
-
- __m512i vsum = _mm512_setzero_si512();
- for (int k = 0; k < 8; ++k) {
- vsum = _mm512_dpbusd_epi32(vsum, va[k], vb[k]);
- }
- vsum = _mm512_sub_epi32(vsum, vcomp);
-
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(vsum), _mm512_mul_ps(vd0, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_K, block_q4_K, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q4_K) + TILE_N * 4;
-
- const block_q8_K * RESTRICT A = static_cast<const block_q8_K *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- // a.qs: 8 groups, 32 bytes each group (m256i)
- __m512i va[8];
- // a.bsum: 8 groups, 2 bytes each group (m128i)
- __m512i va_bsum;
- __m512 vc[COLS];
- __m512 vd1;
-
- // packed_B:
- const int offset_scales = (QK_K / 2) * TILE_N;
- const int offset_mins = (QK_K / 2) * TILE_N + 8 * TILE_N;
- const int offset_d0 = (QK_K / 2) * TILE_N + 16 * TILE_N;
- const int offset_dmin = (QK_K / 2) * TILE_N + 16 * TILE_N + TILE_N * sizeof(ggml_half);
-
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- // Notes: vnni formats in QK_K
- // a) quants vnni format
- // int8 {k/4, n, 4}, viewed as 2d {k/4, 4n}, k = 32
- // from {16, 32} to {8, 64}
- //
- // b) min vnni format
- // int16 {k/2, n, 2}, viewed as 2d {k/2, 2n}, k = 8
- // from {16, 8} to {4, 32}
- //
- auto compute = [&](int col, int i) {
- // load a
- if (col == 0) {
- for (int k_group = 0; k_group < QK_K / 32; ++k_group) {
- va[k_group] = _mm512_castsi256_si512(_mm256_loadu_si256((const __m256i *)(A[0 * KB + i].qs + k_group * 32)));
- }
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[0 * KB + i].bsums);
- const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
- va_bsum = _mm512_castsi128_si512(q8s);
- vd1 = _mm512_set1_ps(A[0 * KB + i].d);
- }
-
- // step 1: accumultate the quants
- __m512i acc = _mm512_setzero_si512();
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- const char * b_qs = b_ptr;
- for (int k_group = 0; k_group < QK_K / 32; ++k_group) {
- __m512i vsum = _mm512_setzero_si512();
- for (int k = 0; k < 8; k += 2) {
- __m512i va0 = _mm512_permutexvar_epi32(_mm512_set1_epi32(k + 0), va[k_group]);
- __m512i va1 = _mm512_permutexvar_epi32(_mm512_set1_epi32(k + 1), va[k_group]);
-
- __m512i bytes = _mm512_loadu_si512((const __m512i *)b_qs);
- __m512i vb0 = _mm512_and_si512(bytes, lowMask);
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va0);
- __m512i vb1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va1);
-
- b_qs += 64;
- }
- // vacc += scale * (q8 @ q4)
- const __m512i vscale = _mm512_cvtepi8_epi32(_mm_loadu_si128((const __m128i *)(b_ptr + offset_scales + k_group * TILE_N)));
- acc = _mm512_add_epi32(acc, _mm512_mullo_epi32(vsum, vscale));
- }
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_d0)));
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc), _mm512_mul_ps(vd0, vd1), vc[col]);
-
- // step 2: accumulate the mins
- __m512i acc_m = _mm512_setzero_si512();
- for (int k = 0; k < 4; ++k) {
- __m512i vmask = _mm512_set1_epi32(k);
- __m512i va = _mm512_permutexvar_epi32(vmask, va_bsum);
- __m512i vb = _mm512_cvtepi8_epi16(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_mins + k * 32)));
- acc_m = _mm512_dpwssds_epi32(acc_m, va, vb);
- }
- const __m512 vdmin = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_dmin)));
- vc[col] = _mm512_fnmadd_ps(_mm512_cvtepi32_ps(acc_m), _mm512_mul_ps(vdmin, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_K, block_q5_K, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q5_K) + TILE_N * 4;
-
- const block_q8_K * RESTRICT A = static_cast<const block_q8_K *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- // a.qs: 8 groups, 32 bytes each group (m256i)
- __m512i va[8];
- // a.bsum: 8 groups, 2 bytes each group (m128i)
- __m512i va_bsum;
- __m512 vc[COLS];
- __m512 vd1;
-
- // packed_B:
- const int offset_qh = (QK_K / 2) * TILE_N;
- const int offset_scales = (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N;
- const int offset_mins = (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N + 8 * TILE_N;
- const int offset_d0 = (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N + 16 * TILE_N;
- const int offset_dmin = (QK_K / 2) * TILE_N + (QK_K / 8) * TILE_N + 16 * TILE_N + TILE_N * sizeof(ggml_half);
-
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- // Q5_K and Q4_K shares the same vnni formats, refer to notes above.
- auto compute = [&](int col, int i) {
- // load a
- if (col == 0) {
- for (int k_group = 0; k_group < QK_K / 32; ++k_group) {
- va[k_group] = _mm512_castsi256_si512(_mm256_loadu_si256((const __m256i *)(A[0 * KB + i].qs + k_group * 32)));
- }
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[0 * KB + i].bsums);
- const __m128i q8s = _mm_hadd_epi16(_mm256_extracti128_si256(q8sums, 0), _mm256_extracti128_si256(q8sums, 1));
- va_bsum = _mm512_castsi128_si512(q8s);
- vd1 = _mm512_set1_ps(A[0 * KB + i].d);
- }
-
- // step 1: accumultate the quants
- __m512i acc = _mm512_setzero_si512();
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- const char * b_qs = b_ptr;
- const char * b_qh = b_ptr + offset_qh;
- for (int k_group = 0; k_group < QK_K / 32; ++k_group) {
- __m512i vsum = _mm512_setzero_si512();
- __m512i hmask0 = _mm512_set1_epi8(0x1);
- __m512i hmask1 = _mm512_set1_epi8(0x2);
- __m512i hbits = _mm512_loadu_si512((const __m512i *)(b_qh + k_group * 64));
- for (int k = 0; k < 8; k += 2) {
- __m512i va0 = _mm512_permutexvar_epi32(_mm512_set1_epi32(k + 0), va[k_group]);
- __m512i va1 = _mm512_permutexvar_epi32(_mm512_set1_epi32(k + 1), va[k_group]);
-
- __m512i bytes = _mm512_loadu_si512((const __m512i *)b_qs);
- __m512i vb0 = _mm512_and_si512(bytes, lowMask);
- __m512i vb1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
-
- __m512i vh0 = _mm512_slli_epi16(_mm512_srli_epi16(_mm512_and_si512(hbits, hmask0), k), 4);
- __m512i vh1 = _mm512_slli_epi16(_mm512_srli_epi16(_mm512_and_si512(hbits, hmask1), k + 1), 4);
-
- hmask0 = _mm512_slli_epi16(hmask0, 2);
- hmask1 = _mm512_slli_epi16(hmask1, 2);
- vb0 = _mm512_add_epi8(vb0, vh0);
- vb1 = _mm512_add_epi8(vb1, vh1);
-
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va0);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va1);
-
- b_qs += 64;
- }
- // vacc += scale * (q8 @ q5)
- const __m512i vscale = _mm512_cvtepi8_epi32(_mm_loadu_si128((const __m128i *)(b_ptr + offset_scales + k_group * TILE_N)));
- acc = _mm512_add_epi32(acc, _mm512_mullo_epi32(vsum, vscale));
- }
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_d0)));
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc), _mm512_mul_ps(vd0, vd1), vc[col]);
-
- // step 2: accumulate the mins
- __m512i acc_m = _mm512_setzero_si512();
- for (int k = 0; k < 4; ++k) {
- __m512i vmask = _mm512_set1_epi32(k);
- __m512i va = _mm512_permutexvar_epi32(vmask, va_bsum);
- __m512i vb = _mm512_cvtepi8_epi16(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_mins + k * 32)));
- acc_m = _mm512_dpwssds_epi32(acc_m, va, vb);
- }
- const __m512 vdmin = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_dmin)));
- vc[col] = _mm512_fnmadd_ps(_mm512_cvtepi32_ps(acc_m), _mm512_mul_ps(vdmin, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_K, block_q6_K, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_q6_K);
-
- const block_q8_K * RESTRICT A = static_cast<const block_q8_K *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- // load the 256 bytes from A to 4 avx512 vectors
- __m512i va[4];
- __m512 vc[COLS];
- __m512 vd1;
-
- // packed_B:
- const int offset_qh = (QK_K / 2) * TILE_N;
- const int offset_scales = (QK_K / 2) * TILE_N + (QK_K / 4) * TILE_N;
- const int offset_d0 = (QK_K / 2) * TILE_N + (QK_K / 4) * TILE_N + 16 * TILE_N;
-
- // compensation
- __m512i vcomp;
-
- const __m512i m32s = _mm512_set1_epi32(32);
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- auto compute = [&](int col, int i) {
- if (col == 0) {
- // load a
- va[0] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 0));
- va[1] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 64));
- va[2] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 128));
- va[3] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 192));
-
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[0 * KB + i].bsums);
- vcomp = _mm512_mullo_epi32(_mm512_cvtepi16_epi32(q8sums), m32s);
- vd1 = _mm512_set1_ps(A[0 * KB + i].d);
- }
-
- // accmulate the quants
- __m512i acc = _mm512_setzero_si512();
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- const char * b_qs = b_ptr;
- const char * b_qh = b_ptr + offset_qh;
- int mask = 0;
- for (int k_group = 0; k_group < QK_K / 16; ++k_group) {
- int r = k_group >> 2;
- __m512i va0 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
- __m512i va1 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
-
- __m512i vsum = _mm512_setzero_si512();
- __m512i hmask = _mm512_set1_epi8(0x3);
-
- __m512i bytes = _mm512_loadu_si512(b_qs);
- __m512i hbits = _mm512_loadu_si512(b_qh);
- __m512i vb0 = _mm512_and_si512(bytes, lowMask);
- __m512i vb1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- __m512i vh0 = _mm512_slli_epi16(_mm512_and_si512(hbits, hmask), 4);
- __m512i vh1 = _mm512_slli_epi16(_mm512_and_si512(hbits, _mm512_slli_epi16(hmask, 2)), 2);
-
- vb0 = _mm512_add_epi8(vb0, vh0);
- vb1 = _mm512_add_epi8(vb1, vh1);
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va0);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va1);
- b_qs += 64;
-
- va0 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
- va1 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
-
- bytes = _mm512_loadu_si512(b_qs);
- vb0 = _mm512_and_si512(bytes, lowMask);
- vb1 = _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask);
- vh0 = _mm512_and_si512(hbits, _mm512_slli_epi16(hmask, 4));
- vh1 = _mm512_srli_epi16(_mm512_and_si512(hbits, _mm512_slli_epi16(hmask, 6)), 2);
- vb0 = _mm512_add_epi8(vb0, vh0);
- vb1 = _mm512_add_epi8(vb1, vh1);
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va0);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va1);
- b_qs += 64;
- b_qh += 64;
-
- // B * A - 32 * A
- __m512i vmask = _mm512_set1_epi32(k_group);
- vsum = _mm512_sub_epi32(vsum, _mm512_permutexvar_epi32(vmask, vcomp));
-
- // vacc += scale * (q8 @ q6)
- const __m512i vscale = _mm512_cvtepi8_epi32(_mm_loadu_si128((const __m128i *)(b_ptr + offset_scales + k_group * TILE_N)));
- acc = _mm512_add_epi32(acc, _mm512_mullo_epi32(vsum, vscale));
- }
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_d0)));
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc), _mm512_mul_ps(vd0, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-template <int BLOCK_M, int BLOCK_N, int BLOCK_K>
-struct tinygemm_kernel_vnni<block_q8_K, block_iq4_xs, float, BLOCK_M, BLOCK_N, BLOCK_K> {
- static void apply(int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
-
- constexpr int COLS = BLOCK_N / 16;
- const int TILE_SIZE = TILE_N * sizeof(block_iq4_xs) + TILE_N * 2;
-
- const block_q8_K * RESTRICT A = static_cast<const block_q8_K *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- // load the 256 bytes from A to 4 avx512 vectors
- __m512i va[4];
- __m512 vc[COLS];
- __m512 vd1;
-
- // packed_B:
- const int offset_scales = (QK_K / 2) * TILE_N ;
- const int offset_d0 = (QK_K / 2) * TILE_N + 8 * TILE_N;
-
- // compensation
- __m512i vcomp;
-
- const __m256i m128s = _mm256_set1_epi16(128);
- const __m512i lowMask = _mm512_set1_epi8(0xF);
-
- const __m512i values128 = _mm512_set_epi8(
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127,
- 113, 89, 69, 53, 38, 25, 13, 1, -10, -22, -35, -49, -65, -83, -104, -127
- );
- const __m512i off = _mm512_set1_epi8(static_cast<char>(0x80));
- const __m512i values256 = _mm512_add_epi8(values128, off);
-
- auto loadc = [&](int col) {
- vc[col] = _mm512_setzero_ps();
- };
- Unroll<COLS>{}(loadc);
-
- auto compute = [&](int col, int i) {
- if (col == 0) {
- // load a
- va[0] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 0));
- va[1] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 64));
- va[2] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 128));
- va[3] = _mm512_loadu_si512((const __m512i *)(A[0 * KB + i].qs + 192));
-
- // compensation: 128 * A
- const __m256i q8sums = _mm256_loadu_si256((const __m256i *)A[0 * KB + i].bsums);
- vcomp = _mm512_castsi256_si512(_mm256_madd_epi16(q8sums, m128s));
- vd1 = _mm512_set1_ps(A[0 * KB + i].d);
- }
-
- // accmulate the quants
- __m512i acc = _mm512_setzero_si512();
- const char * b_ptr = B + PACKED_INDEX(col, i, KB, TILE_SIZE);
- const char * b_qs = b_ptr;
- int mask = 0;
- for (int k_group = 0; k_group < QK_K / 32; ++k_group) {
- int r = k_group >> 1;
- __m512i vmask = _mm512_set1_epi32(k_group);
- __m512i vsum = _mm512_setzero_si512();
- for (int k = 0; k < 8; k += 2) {
- __m512i va0 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
- __m512i va1 = _mm512_permutexvar_epi32(_mm512_set1_epi32(mask++), va[r]);
-
- __m512i bytes = _mm512_loadu_si512(b_qs);
- __m512i vb0 = _mm512_shuffle_epi8(values256, _mm512_and_si512(bytes, lowMask));
- __m512i vb1 = _mm512_shuffle_epi8(values256, _mm512_and_si512(_mm512_srli_epi16(bytes, 4), lowMask));
-
- vsum = _mm512_dpbusd_epi32(vsum, vb0, va0);
- vsum = _mm512_dpbusd_epi32(vsum, vb1, va1);
- b_qs += 64;
- }
- // (B + 128) * A - 128 * A
- vsum = _mm512_sub_epi32(vsum, _mm512_permutexvar_epi32(vmask, vcomp));
-
- // vacc += scale * (q8 @ q4)
- const __m512i vscale = _mm512_cvtepi8_epi32(_mm_loadu_si128((const __m128i *)(b_ptr + offset_scales + k_group * TILE_N)));
- acc = _mm512_add_epi32(acc, _mm512_mullo_epi32(vsum, vscale));
- }
- const __m512 vd0 = _mm512_cvtph_ps(_mm256_loadu_si256((const __m256i *)(b_ptr + offset_d0)));
- vc[col] = _mm512_fmadd_ps(_mm512_cvtepi32_ps(acc), _mm512_mul_ps(vd0, vd1), vc[col]);
- };
-
- for (int i = 0; i < KB; ++i) {
- Unroll<COLS>{}(compute, i);
- }
-
- //store to C
- auto storec = [&](int col) {
- _mm512_storeu_ps((__m512i*)(C + 0 * ldc + col * 16), vc[col]);
- };
- Unroll<COLS>{}(storec);
- }
-};
-
-#define LAUNCH_TINYGEMM_KERNEL_VNNI(NB_SIZE) \
- tinygemm_kernel_vnni<vec_dot_type, type, float, 1, NB_SIZE, blck_size>::apply( \
- KB, (const char *)wdata + 0 * row_size_A, \
- (const char *)src0->data + PACKED_INDEX(nb * kTilesN, 0, KB, TILE_SIZE), \
- (float *) dst->data + 0 * N + nb_start, ldc)
-
-template <typename TA, typename TB, typename TC, int BLOCK_K,
- typename std::enable_if<!is_type_qkk<TB>::value, int>::type = 0>
-void tinygemm_kernel_amx(int M, int N, int KB, const void * RESTRICT _A, const void * RESTRICT _B, TC * RESTRICT C, int ldc) {
- using packed_B_t = packed_B_type<TB>;
- const int TILE_SIZE = get_tile_size<TB>();
- const bool need_unpack = do_unpack<TB>::value;
-
- GGML_ASSERT(M <= 2 * TILE_M && N == 2 * TILE_N);
- const TA * RESTRICT A = static_cast<const TA *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- const int m0 = std::min(M, TILE_M);
- const int m1 = std::max(M - TILE_M, 0);
- const int lda = KB * sizeof(TA);
- //const int ldb = KB * sizeof(TB);
-
- static thread_local packed_B_t Tile0[TILE_N * TILE_K];
- static thread_local packed_B_t Tile1[TILE_N * TILE_K];
- static thread_local int8_t Tile23[TILE_M * TILE_K];
-
- static thread_local int32_t TileC0[TILE_M * TILE_N * 4];
- static thread_local int32_t TileC1[TILE_M * TILE_N * 4];
-
- // double buffering C to interleave avx512 and amx
- int32_t * C_cur = TileC0;
- int32_t * C_pre = TileC1;
-
- auto Tile4 = [&](int32_t * base) { return base; };
- auto Tile5 = [&](int32_t * base) { return base + TILE_M * TILE_N; };
- auto Tile6 = [&](int32_t * base) { return base + 2 * TILE_M * TILE_N; };
- auto Tile7 = [&](int32_t * base) { return base + 3 * TILE_M * TILE_N; };
-
- if (M == 2 * TILE_M) {
- // i = 0
- const char * B_blk0 = B + PACKED_INDEX(0, 0, KB, TILE_SIZE);
- const char * B_blk1 = B + PACKED_INDEX(1, 0, KB, TILE_SIZE);
- if (need_unpack) {
- unpack_B<TB>(Tile0, B_blk0);
- _tile_loadd(TMM0, Tile0, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM0, B_blk0, TILE_N * VNNI_BLK);
- }
-
- _tile_zero(TMM4);
- _tile_loadd(TMM2, A[0].qs, lda);
- _tile_dpbssd(TMM4, TMM2, TMM0);
- _tile_stored(TMM4, Tile4(C_pre), TILE_N * sizeof(int32_t));
-
- _tile_zero(TMM5);
- _tile_loadd(TMM3, A[TILE_M * KB + 0].qs, lda);
- _tile_dpbssd(TMM5, TMM3, TMM0);
- _tile_stored(TMM5, Tile5(C_pre), TILE_N * sizeof(int32_t));
-
- if (need_unpack) {
- unpack_B<TB>(Tile1, B_blk0);
- _tile_loadd(TMM1, Tile1, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM1, B_blk1, TILE_N * VNNI_BLK);
- }
-
- _tile_zero(TMM6);
- _tile_dpbssd(TMM6, TMM2, TMM1);
- _tile_stored(TMM6, Tile6(C_pre), TILE_N * sizeof(int32_t));
-
- _tile_zero(TMM7);
- _tile_dpbssd(TMM7, TMM3, TMM1);
- _tile_stored(TMM7, Tile7(C_pre), TILE_N * sizeof(int32_t));
-
- for (int i = 1; i < KB; ++i) {
- // index of previous iter
- const int ii = i - 1;
- const char * B_blk0 = B + PACKED_INDEX(0, i, KB, TILE_SIZE);
- const char * B_blk1 = B + PACKED_INDEX(1, i, KB, TILE_SIZE);
- GGML_DISPATCH_BOOL(ii > 0, is_acc, [&] {
- if (need_unpack) {
- unpack_B<TB>(Tile0, B_blk0);
- _tile_loadd(TMM0, Tile0, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM0, B_blk0, TILE_N * VNNI_BLK);
- }
- _tile_zero(TMM4);
- _tile_loadd(TMM2, A[i].qs, lda);
- acc_C<TA, TB, is_acc>::apply(C, ldc, Tile4(C_pre), &A[ii], KB, B + PACKED_INDEX(0, ii, KB, TILE_SIZE), TILE_M);
-
- _tile_dpbssd(TMM4, TMM2, TMM0);
- _tile_stored(TMM4, Tile4(C_cur), TILE_N * sizeof(int32_t));
-
- _tile_zero(TMM5);
- _tile_loadd(TMM3, A[TILE_M * KB + i].qs, lda);
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc, ldc, Tile5(C_pre), &A[TILE_M * KB + ii], KB, B + PACKED_INDEX(0, ii, KB, TILE_SIZE), TILE_M);
-
- _tile_dpbssd(TMM5, TMM3, TMM0);
- _tile_stored(TMM5, Tile5(C_cur), TILE_N * sizeof(int32_t));
-
- if (need_unpack) {
- unpack_B<TB>(Tile1, B_blk1);
- _tile_loadd(TMM1, Tile1, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM1, B_blk1, TILE_N * VNNI_BLK);
- }
- _tile_zero(TMM6);
- acc_C<TA, TB, is_acc>::apply(C + TILE_N, ldc, Tile6(C_pre), &A[ii], KB, B + PACKED_INDEX(1, ii, KB, TILE_SIZE), TILE_M);
-
- _tile_dpbssd(TMM6, TMM2, TMM1);
- _tile_stored(TMM6, Tile6(C_cur), TILE_N * sizeof(int32_t));
-
- _tile_zero(TMM7);
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc + TILE_N, ldc, Tile7(C_pre), &A[TILE_M * KB + ii], KB, B + PACKED_INDEX(1, ii, KB, TILE_SIZE), TILE_M);
-
- _tile_dpbssd(TMM7, TMM3, TMM1);
- _tile_stored(TMM7, Tile7(C_cur), TILE_N * sizeof(int32_t));
-
- std::swap(C_cur, C_pre);
- });
- }
- // final accumulation
- {
- int ii = KB - 1;
- acc_C<TA, TB, true>::apply(C, ldc, Tile4(C_pre), &A[ii], KB, B + PACKED_INDEX(0, ii, KB, TILE_SIZE), TILE_M);
- acc_C<TA, TB, true>::apply(C + TILE_M * ldc, ldc, Tile5(C_pre), &A[TILE_M * KB + ii], KB, B + PACKED_INDEX(0, ii, KB, TILE_SIZE), TILE_M);
- acc_C<TA, TB, true>::apply(C + TILE_N, ldc, Tile6(C_pre), &A[ii], KB, B + PACKED_INDEX(1, ii, KB, TILE_SIZE), TILE_M);
- acc_C<TA, TB, true>::apply(C + TILE_M * ldc + TILE_N, ldc, Tile7(C_pre), &A[TILE_M * KB + ii], KB, B + PACKED_INDEX(1, ii, KB, TILE_SIZE), TILE_M);
- }
- } else {
- for (int i = 0; i < KB; ++i) {
- _tile_zero(TMM4);
- _tile_zero(TMM6);
- if (m1 != 0) {
- _tile_zero(TMM5);
- _tile_zero(TMM7);
- }
-
- const char * B_blk0 = B + PACKED_INDEX(0, i, KB, TILE_SIZE);
- const char * B_blk1 = B + PACKED_INDEX(1, i, KB, TILE_SIZE);
- if (need_unpack) {
- unpack_B<TB>(Tile0, B_blk0);
- _tile_loadd(TMM0, Tile0, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM0, B_blk0, TILE_N * VNNI_BLK);
- }
-
- if (need_unpack) {
- unpack_B<TB>(Tile1, B_blk1);
- _tile_loadd(TMM1, Tile1, TILE_N * VNNI_BLK);
- } else {
- _tile_loadd(TMM1, B_blk1, TILE_N * VNNI_BLK);
- }
-
- if (m0 == TILE_M) {
- _tile_loadd(TMM2, A[i].qs, lda);
- } else {
- unpack_A(Tile23, &A[i], KB, m0);
- _tile_loadd(TMM2, Tile23, TILE_K);
- }
-
- _tile_dpbssd(TMM4, TMM2, TMM0);
- _tile_dpbssd(TMM6, TMM2, TMM1);
-
- _tile_stored(TMM4, Tile4(C_cur), TILE_N * sizeof(int32_t));
- _tile_stored(TMM6, Tile6(C_cur), TILE_N * sizeof(int32_t));
-
- GGML_DISPATCH_BOOL(i > 0, is_acc, [&] {
- acc_C<TA, TB, is_acc>::apply(C, ldc, Tile4(C_cur), &A[i], KB, B + PACKED_INDEX(0, i, KB, TILE_SIZE), m0);
- acc_C<TA, TB, is_acc>::apply(C + TILE_N, ldc, Tile6(C_cur), &A[i], KB, B + PACKED_INDEX(1, i, KB, TILE_SIZE), m0);
- });
-
- if (m1 != 0) {
- unpack_A(Tile23, &A[TILE_M * KB + i], KB, m1);
- _tile_loadd(TMM3, Tile23, TILE_K);
-
- _tile_dpbssd(TMM5, TMM3, TMM0);
- _tile_dpbssd(TMM7, TMM3, TMM1);
- _tile_stored(TMM5, Tile5(C_cur), TILE_N * sizeof(int32_t));
- _tile_stored(TMM7, Tile7(C_cur), TILE_N * sizeof(int32_t));
- GGML_DISPATCH_BOOL(i > 0, is_acc, [&] {
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc, ldc, Tile5(C_cur), &A[TILE_M * KB + i], KB, B + PACKED_INDEX(0, i, KB, TILE_SIZE), m1);
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc + TILE_N, ldc, Tile7(C_cur), &A[TILE_M * KB + i], KB, B + PACKED_INDEX(1, i, KB, TILE_SIZE), m1);
- });
- }
- }
- }
- return;
-}
-
-template <typename TA, typename TB, typename TC, int BLOCK_K,
- typename std::enable_if<is_type_qkk<TB>::value, int>::type = 0>
-void tinygemm_kernel_amx(int M, int N, int KB, const void * RESTRICT _A, const void * RESTRICT _B, float * RESTRICT C, int ldc) {
- static_assert(std::is_same<TA, block_q8_K>::value);
- const int TILE_SIZE = get_tile_size<TB>();
-
- GGML_ASSERT(M <= 2 * TILE_M && N == 2 * TILE_N);
- const TA * RESTRICT A = static_cast<const TA *>(_A);
- const char * RESTRICT B = static_cast<const char *>(_B);
-
- const int m0 = std::min(M, TILE_M);
- const int m1 = std::max(M - TILE_M, 0);
- //const int lda = KB * sizeof(TA);
-
- static thread_local int8_t Tile0[TILE_N * TILE_K];
- static thread_local int8_t Tile1[TILE_N * TILE_K];
- static thread_local int8_t Tile23[TILE_M * TILE_K];
-
- // mat mul result for each group
- static thread_local int32_t Tile4[TILE_M * TILE_N];
- static thread_local int32_t Tile5[TILE_M * TILE_N];
- static thread_local int32_t Tile6[TILE_M * TILE_N];
- static thread_local int32_t Tile7[TILE_M * TILE_N];
-
- // sum of each QK_K block, contains 8 groups, int32
- static thread_local int32_t Sumi4[TILE_M * TILE_N];
- static thread_local int32_t Sumi5[TILE_M * TILE_N];
- static thread_local int32_t Sumi6[TILE_M * TILE_N];
- static thread_local int32_t Sumi7[TILE_M * TILE_N];
-
- const int k_group_size = std::is_same<TB, block_q6_K>::value ? 16 : 32;
- for (int i = 0; i < KB; ++i) {
- // step 1: accumulate the quants across 8 groups, each group with 32
- for (int k = 0; k < QK_K / k_group_size; ++k) {
- GGML_DISPATCH_BOOL(k > 0, is_acc, [&] {
- _tile_zero(TMM4);
- _tile_zero(TMM6);
-
- unpack_B<TB>(Tile0, B + PACKED_INDEX(0, i, KB, TILE_SIZE), k);
- _tile_loadd(TMM0, Tile0, TILE_N * VNNI_BLK);
-
- unpack_B<TB>(Tile1, B + PACKED_INDEX(1, i, KB, TILE_SIZE), k);
- _tile_loadd(TMM1, Tile1, TILE_N * VNNI_BLK);
-
- unpack_A<TB>(Tile23, &A[i], KB, k, m0);
- _tile_loadd(TMM2, Tile23, TILE_K);
-
- _tile_dpbssd(TMM4, TMM2, TMM0);
- _tile_dpbssd(TMM6, TMM2, TMM1);
-
- _tile_stored(TMM4, Tile4, TILE_N * sizeof(int32_t));
- _tile_stored(TMM6, Tile6, TILE_N * sizeof(int32_t));
-
- scale_C<TB, is_acc>(Tile4, Sumi4, B + PACKED_INDEX(0, i, KB, TILE_SIZE), k, m0);
- scale_C<TB, is_acc>(Tile6, Sumi6, B + PACKED_INDEX(1, i, KB, TILE_SIZE), k, m0);
-
- if (m1 != 0) {
- _tile_zero(TMM5);
- _tile_zero(TMM7);
-
- unpack_A<TB>(Tile23, &A[TILE_M * KB + i], KB, k, m1);
- _tile_loadd(TMM3, Tile23, TILE_K);
-
- _tile_dpbssd(TMM5, TMM3, TMM0);
- _tile_dpbssd(TMM7, TMM3, TMM1);
-
- _tile_stored(TMM5, Tile5, TILE_N * sizeof(int32_t));
- _tile_stored(TMM7, Tile7, TILE_N * sizeof(int32_t));
-
- scale_C<TB, is_acc>(Tile5, Sumi5, B + PACKED_INDEX(0, i, KB, TILE_SIZE), k, m1);
- scale_C<TB, is_acc>(Tile7, Sumi7, B + PACKED_INDEX(1, i, KB, TILE_SIZE), k, m1);
- }
- });
- }
-
- // step 2: accmulate the mins
- GGML_DISPATCH_BOOL(i > 0, is_acc, [&] {
- acc_C<TA, TB, is_acc>::apply(C, ldc, Sumi4, &A[i], KB, B + PACKED_INDEX(0, i, KB, TILE_SIZE), m0);
- acc_C<TA, TB, is_acc>::apply(C + TILE_N, ldc, Sumi6, &A[i], KB, B + PACKED_INDEX(1, i, KB, TILE_SIZE), m0);
- if (m1 != 0) {
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc, ldc, Sumi5, &A[TILE_M * KB + i], KB, B + PACKED_INDEX(0, i, KB, TILE_SIZE), m1);
- acc_C<TA, TB, is_acc>::apply(C + TILE_M * ldc + TILE_N, ldc, Sumi7, &A[TILE_M * KB + i], KB, B + PACKED_INDEX(1, i, KB, TILE_SIZE), m1);
- }
- });
- }
- return;
-}
-
-} // anonymous namespace
-
-// get the packed tensor size for quantized weights
-size_t ggml_backend_amx_get_alloc_size(const struct ggml_tensor * tensor) {
- const enum ggml_type TYPE = tensor->type;
-
- const int K = tensor->ne[0]; // ne0: in_features
- const int N = tensor->ne[1]; // ne1: out_features
-
- auto get_tensor_size = [&] {
- size_t row_size_B{0};
- GGML_DISPATCH_QTYPES(TYPE, [&] {
- row_size_B = get_row_size<type, blck_size>(K);
- });
- return N * row_size_B;
- };
-
- if (qtype_has_amx_kernels(TYPE)) {
- return get_tensor_size();
- } else {
- // for f16, bf16 we don't do packing
- return ggml_nbytes(tensor);
- }
-}
-
-// pack weight to vnni format
-void ggml_backend_amx_convert_weight(struct ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-
- size_t alloc_size = ggml_backend_amx_get_alloc_size(tensor);
- GGML_ASSERT(alloc_size == size);
-
- const enum ggml_type TYPE = tensor->type;
-
- const int K = tensor->ne[0]; // ne0: in_features
- const int N = tensor->ne[1]; // ne1: out_features
-
-#if defined(_OPENMP)
- // the buffer ctx is not initialized when .set_tensor is called
- int n_threads = omp_get_num_threads();
-#else
- int n_threads = 1;
-#endif
-
- GGML_DISPATCH_QTYPES(TYPE, [&] {
- convert_B_packed_format<type, blck_size>((void *)((char *)tensor->data + offset), (const type *)data, N, K, n_threads);
- });
-}
-
-// NB: mixed dtype gemm with Advanced Matrix Extensions (Intel AMX)
-//
-// src0: weight in shape of {N, K}, quantized
-// src1: input in shape of {M, K}, float32
-// dst: output in shape of {M, N}, float32
-//
-// the function performs: dst = src1 @ src0.T
-//
-void ggml_backend_amx_mul_mat(ggml_backend_amx_context * ctx, struct ggml_tensor * dst) {
- struct ggml_tensor * src0 = dst->src[0];
- struct ggml_tensor * src1 = dst->src[1];
-
- const enum ggml_type TYPE = src0->type;
-
- const int n_threads = ctx->n_threads;
-
- // f16 only has avx512 kernels for now,
- // amx kernels will be added once 6th gen xeon is released.
- const bool is_floating_type = TYPE == GGML_TYPE_F16;
-
- const int M = dst->ne[1];
- const int N = dst->ne[0];
- const int K = src0->ne[0];
- const int ldc = dst->nb[1] / dst->nb[0];
-
- if (is_floating_type) {
- constexpr int BLOCK_M = 4;
- constexpr int BLOCK_N = 6;
- const int MB = div_up(M, BLOCK_M);
- const int NB = div_up(N, BLOCK_N);
-
- parallel_for(n_threads, MB * NB, [&](int begin, int end) {
- GGML_DISPATCH_FLOATING_TYPES(TYPE, [&] {
- for (int i = begin; i < end; ++i) {
- int mb = i / NB;
- int nb = i % NB;
-
- int mb_start = mb * BLOCK_M;
- int mb_size = std::min(BLOCK_M, M - mb_start);
- int nb_start = nb * BLOCK_N;
- int nb_size = std::min(BLOCK_N, N - nb_start);
-
- switch (mb_size << 4 | nb_size) {
- case 0x12: LAUNCH_TINYGEMM_KERNEL_AVX(1, 2); break;
- case 0x14: LAUNCH_TINYGEMM_KERNEL_AVX(1, 4); break;
- case 0x16: LAUNCH_TINYGEMM_KERNEL_AVX(1, 6); break;
- case 0x22: LAUNCH_TINYGEMM_KERNEL_AVX(2, 2); break;
- case 0x24: LAUNCH_TINYGEMM_KERNEL_AVX(2, 4); break;
- case 0x26: LAUNCH_TINYGEMM_KERNEL_AVX(2, 6); break;
- case 0x32: LAUNCH_TINYGEMM_KERNEL_AVX(3, 2); break;
- case 0x34: LAUNCH_TINYGEMM_KERNEL_AVX(3, 4); break;
- case 0x36: LAUNCH_TINYGEMM_KERNEL_AVX(3, 6); break;
- case 0x42: LAUNCH_TINYGEMM_KERNEL_AVX(4, 2); break;
- case 0x44: LAUNCH_TINYGEMM_KERNEL_AVX(4, 4); break;
- case 0x46: LAUNCH_TINYGEMM_KERNEL_AVX(4, 6); break;
- default: fprintf(stderr, "Unexpected block size!\n");
- }
- }
- });
- });
- return;
- }
-
- // pointer to work space, used convert A from float to quantized type
- void * wdata = nullptr;
-
- //TODO: performance improvement: merge quant A
- GGML_DISPATCH_QTYPES(TYPE, [&] {
- const size_t row_size_A = K / blck_size * sizeof(vec_dot_type);
- const size_t desired_wsize = M * row_size_A;
- if (ctx->work_size < desired_wsize) {
- ctx->work_data.reset(new char[desired_wsize]);
- ctx->work_size = desired_wsize;
- }
- wdata = ctx->work_data.get();
-
- // Q4_0, Q4_1, Q8_0 handles 1 TILE_K per blck_size
- // Q4_K, Q5_K, Q6_K, IQ4_XS handles 8 TILE_K per blck_size
- GGML_ASSERT(TILE_K == blck_size || TILE_K * 8 == blck_size);
-
- const float * A_data = static_cast<const float *>(src1->data);
- for (int m = 0; m < M; ++m) {
- from_float<vec_dot_type>(A_data + m * K, (char *)wdata + m * row_size_A, K);
- }
- });
-
- if (M == 1) {
- // MB = 1 and handle 8 tiles in each block
- constexpr int kTilesN = 4;
- constexpr int BLOCK_N = TILE_N * kTilesN;
- const int NB = div_up(N, BLOCK_N);
-
- parallel_for(n_threads, NB, [&](int begin, int end) {
- GGML_DISPATCH_QTYPES(TYPE, [&] {
- const int KB = K / blck_size;
- const int TILE_SIZE = get_tile_size<type>();
- const int row_size_A = KB * sizeof(vec_dot_type);
- for (int i = begin; i < end; ++i) {
- int nb = i;
- int nb_start = nb * BLOCK_N;
- int nb_size = std::min(BLOCK_N, N - nb_start); // 32, 64, 96
-
- switch (nb_size) {
- //case 160: LAUNCH_TINYGEMM_KERNEL_VNNI(160); break;
- case 128: LAUNCH_TINYGEMM_KERNEL_VNNI(128); break;
- case 96: LAUNCH_TINYGEMM_KERNEL_VNNI(96); break;
- case 64: LAUNCH_TINYGEMM_KERNEL_VNNI(64); break;
- case 32: LAUNCH_TINYGEMM_KERNEL_VNNI(32); break;
- default: fprintf(stderr, "Unexpected n block size!\n");
- }
- }
- });
- });
- return;
- }
-
- // handle 4 tiles at a tile
- constexpr int BLOCK_M = TILE_M * 2;
- constexpr int BLOCK_N = TILE_N * 2;
- const int MB = div_up(M, BLOCK_M);
- const int NB = div_up(N, BLOCK_N);
-
- parallel_for(n_threads, MB * NB, [&](int begin, int end) {
- // init tile config for each thread
- ggml_tile_config_init();
-
- GGML_DISPATCH_QTYPES(TYPE, [&] {
- const int KB = K / blck_size;
- const int TILE_SIZE = get_tile_size<type>();
- const int row_size_A = KB * sizeof(vec_dot_type);
-
- for (int i = begin; i < end; ++i) {
- int mb = i / NB;
- int nb = i % NB;
-
- int mb_start = mb * BLOCK_M;
- int mb_size = std::min(BLOCK_M, M - mb_start);
- int nb_start = nb * BLOCK_N;
- int nb_size = BLOCK_N;
-
- tinygemm_kernel_amx<vec_dot_type, type, float, blck_size>(
- mb_size, nb_size, KB,
- (const char *)wdata + mb_start * row_size_A,
- (const char *)src0->data + PACKED_INDEX(nb * 2, 0, KB, TILE_SIZE),
- (float *) dst->data + mb_start * N + nb_start, ldc);
- }
- });
- });
-}
-
-#else // if defined(__AMX_INT8__)
-
-void ggml_backend_amx_mul_mat(ggml_backend_amx_context * ctx, struct ggml_tensor * dst) {
- fprintf(stderr, "GGML is not compiled with AMX support!\n");
-
- GGML_UNUSED(ctx);
- GGML_UNUSED(dst);
-}
-
-#endif // if defined(__AMX_INT8__)
overview / pkg / ggml / sources / whisper.cpp / commitdiff