#include "ggml-quants.h" #include "ggml-impl.h" #include #include #include #include #ifdef __ARM_NEON // if YCM cannot find , 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 #else #ifdef __wasm_simd128__ #include #else #if defined(__POWER9_VECTOR__) || defined(__powerpc64__) #include #undef bool #define bool _Bool #else #if defined(_MSC_VER) || defined(__MINGW32__) #include #else #if defined(__AVX__) || defined(__AVX2__) || defined(__AVX512F__) || defined(__SSSE3__) || defined(__SSE3__) #if !defined(__riscv) #include #endif #endif #endif #endif #endif #endif #ifdef __riscv_v_intrinsic #include #endif #undef MIN #undef MAX #define MIN(a, b) ((a) < (b) ? (a) : (b)) #define MAX(a, b) ((a) > (b) ? (a) : (b)) #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 __AVXVNNI__ 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) #if !defined(__aarch64__) // 64-bit compatibility // vaddvq_s16 // vpaddq_s16 // vaddvq_s32 // vaddvq_f32 // vmaxvq_f32 // vcvtnq_s32_f32 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 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; } // 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; } #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 #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, int 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, int k) { quantize_row_q4_0_reference(x, y, k); } void quantize_row_q4_1_reference(const float * restrict x, block_q4_1 * restrict y, int 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, int k) { quantize_row_q4_1_reference(x, y, k); } void quantize_row_q5_0_reference(const float * restrict x, block_q5_0 * restrict y, int 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, int k) { quantize_row_q5_0_reference(x, y, k); } void quantize_row_q5_1_reference(const float * restrict x, block_q5_1 * restrict y, int 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, int 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, int 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, int 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, int 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 = 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 = sum*d; } } void quantize_row_q8_1(const float * restrict x, void * restrict vy, int 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 = 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 = 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 = 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 = 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 = 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 = 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 = 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 = 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 = 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, int 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, int 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, int 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, int 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, int 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) { 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; } int weight_type = rmse_type%2; 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 + nmax; float w = weight_type == 1 ? x[i] * x[i] : 1; 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 = weight_type == 1 ? x[i] * x[i] : 1; 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, int 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, int 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, int k) { quantize_row_q2_K_reference(x, vy, k); } size_t ggml_quantize_q2_K(const float * restrict src, void * restrict dst, int n, int k, int64_t * restrict hist) { (void)hist; // TODO: collect histograms for (int j = 0; j < n; j += k) { block_q2_K * restrict y = (block_q2_K *)dst + j/QK_K; quantize_row_q2_K_reference(src + j, y, k); } return (n/QK_K*sizeof(block_q2_K)); } //========================= 3-bit (de)-quantization void quantize_row_q3_K_reference(const float * restrict x, block_q3_K * restrict y, int 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, int 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, int 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, int k) { quantize_row_q3_K_reference(x, vy, k); } size_t ggml_quantize_q3_K(const float * restrict src, void * restrict dst, int n, int k, int64_t * restrict hist) { (void)hist; // TODO: collect histograms for (int j = 0; j < n; j += k) { block_q3_K * restrict y = (block_q3_K *)dst + j/QK_K; quantize_row_q3_K_reference(src + j, y, k); } return (n/QK_K*sizeof(block_q3_K)); } // ====================== 4-bit (de)-quantization void quantize_row_q4_K_reference(const float * restrict x, block_q4_K * restrict y, int 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, int 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, int k) { assert(k % QK_K == 0); block_q4_K * restrict y = vy; quantize_row_q4_K_reference(x, y, k); } size_t ggml_quantize_q4_K(const float * restrict src, void * restrict dst, int n, int k, int64_t * restrict hist) { assert(k % QK_K == 0); (void)hist; // TODO: collect histograms for (int j = 0; j < n; j += k) { block_q4_K * restrict y = (block_q4_K *)dst + j/QK_K; quantize_row_q4_K_reference(src + j, y, k); } return (n/QK_K*sizeof(block_q4_K)); } // ====================== 5-bit (de)-quantization void quantize_row_q5_K_reference(const float * restrict x, block_q5_K * restrict y, int k) { assert(k % QK_K == 0); const int 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); 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, int k) { assert(k % QK_K == 0); const int 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, int k) { assert(k % QK_K == 0); block_q5_K * restrict y = vy; quantize_row_q5_K_reference(x, y, k); } size_t ggml_quantize_q5_K(const float * restrict src, void * restrict dst, int n, int k, int64_t * restrict hist) { assert(k % QK_K == 0); (void)hist; // TODO: collect histograms for (int j = 0; j < n; j += k) { block_q5_K * restrict y = (block_q5_K *)dst + j/QK_K; quantize_row_q5_K_reference(src + j, y, k); } return (n/QK_K*sizeof(block_q5_K)); } // ====================== 6-bit (de)-quantization void quantize_row_q6_K_reference(const float * restrict x, block_q6_K * restrict y, int 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 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); 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, int 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 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, int k) { assert(k % QK_K == 0); block_q6_K * restrict y = vy; quantize_row_q6_K_reference(x, y, k); } size_t ggml_quantize_q6_K(const float * src, void * dst, int n, int k, int64_t * hist) { assert(k % QK_K == 0); (void)hist; // TODO: collect histograms for (int j = 0; j < n; j += k) { block_q6_K * restrict y = (block_q6_K *)dst + j/QK_K; quantize_row_q6_K_reference(src + j, y, k); } return (n/QK_K*sizeof(block_q6_K)); } //===================================== Q8_K ============================================== void quantize_row_q8_K_reference(const float * restrict x, block_q8_K * restrict y, int k) { assert(k % QK_K == 0); const int 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; 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, int k) { assert(k % QK_K == 0); const int 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, int 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, const void * restrict vx, const void * restrict vy) { const int qk = QK8_0; const int nb = n / qk; assert(n % qk == 0); const block_q4_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); 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 bx = 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 ); bx = _mm256_sub_epi8( bx, off ); __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_i8_pairs_float(bx, by); /* 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 = _mm_and_si128(lowMask, tmp); __m128i by = _mm_loadu_si128((const __m128i *)y[i].qs); bx = _mm_sub_epi8(bx, off); const __m128i i32_0 = mul_sum_i8_pairs(bx, by); bx = _mm_and_si128(lowMask, _mm_srli_epi64(tmp, 4)); by = _mm_loadu_si128((const __m128i *)(y[i].qs + 16)); bx = _mm_sub_epi8(bx, off); const __m128i i32_1 = mul_sum_i8_pairs(bx, by); // 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { const int qk = QK8_1; const int nb = n / qk; assert(n % qk == 0); const block_q4_1 * restrict x = vx; const block_q8_1 * restrict y = vy; // 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) * y0->s + GGML_FP16_TO_FP32(x1->m) * 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)*y0->d); sumv1 = vmlaq_n_f32(sumv1, vcvtq_f32_s32(p_1), GGML_FP16_TO_FP32(x1->d)*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 = y[i].d; summs += GGML_FP16_TO_FP32(x[i].m) * 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 bx = bytes_from_nibbles_32(x[i].qs); const __m256i by = _mm256_loadu_si256( (const __m256i *)y[i].qs ); const __m256 xy = mul_sum_us8_pairs_float(bx, by); // 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)*y[i].d)*sumi + GGML_FP16_TO_FP32(x[i].m)*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)*y[i].d)*sumi + GGML_FP16_TO_FP32(x[i].m)*y[i].s; } *s = sumf; #endif } void ggml_vec_dot_q5_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { const int qk = QK8_0; const int nb = n / qk; assert(n % qk == 0); assert(qk == QK5_0); 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 bx = 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)); bx = _mm256_or_si256(bx, bxhi); __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_i8_pairs_float(bx, by); /* 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 = 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); __m128i bxh = _mm256_extractf128_si256(bx, 1); bxl = _mm_or_si128(bxl, bxhil); bxh = _mm_or_si128(bxh, bxhih); bx = MM256_SET_M128I(bxh, bxl); const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_i8_pairs_float(bx, by); /* 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { const int qk = QK8_1; const int nb = n / qk; assert(n % qk == 0); assert(qk == QK5_1); 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) * y0->s; summs1 += GGML_FP16_TO_FP32(x1->m) * 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)*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)*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) * 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) * 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) * y[i].s; __m256i bx = 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)); bx = _mm256_or_si256(bx, bxhi); const __m256 dy = _mm256_set1_ps(y[i].d); const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_us8_pairs_float(bx, by); 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) * y[i].s; __m256i bx = 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); __m128i bxh = _mm256_extractf128_si256(bx, 1); bxl = _mm_or_si128(bxl, bxhil); bxh = _mm_or_si128(bxh, bxhih); bx = MM256_SET_M128I(bxh, bxl); const __m256 dy = _mm256_set1_ps(y[i].d); const __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_us8_pairs_float(bx, by); 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)*y[i].d)*sumi + GGML_FP16_TO_FP32(x[i].m)*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)*y[i].d)*sumi + GGML_FP16_TO_FP32(x[i].m)*y[i].s; } *s = sumf; #endif } void ggml_vec_dot_q8_0_q8_0(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { const int qk = QK8_0; const int nb = n / qk; assert(n % qk == 0); const block_q8_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); 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 bx = _mm256_loadu_si256((const __m256i *)x[i].qs); __m256i by = _mm256_loadu_si256((const __m256i *)y[i].qs); const __m256 q = mul_sum_i8_pairs_float(bx, by); // 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 = __riscv_vle8_v_i8m1(x[i].qs, vl); vint8m1_t by = __riscv_vle8_v_i8m1(y[i].qs, vl); vint16m2_t vw_mul = __riscv_vwmul_vv_i16m2(bx, by, 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { 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 * (float)x[i].d; const float dmin = -y[i].d * (float)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 * (float)x[i].d; const float dmin = -y[i].d * (float)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[4]; 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); isum[0] = isum[1] = isum[2] = isum[3] = 0; 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 < 4; ++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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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 * (float)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 * (float)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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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 * (float)x[i].d[1] * summi; const float d = y[i].d * (float)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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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 * (float)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 * (float)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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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(const int n, float * restrict s, const void * restrict vx, const void * restrict vy) { assert(n % QK_K == 0); 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 = (float)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 = (float)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