#include "k_quants.h" #include "ggml.h" #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 #ifdef __POWER9_VECTOR__ #include #undef bool #define bool _Bool #else #if defined(_MSC_VER) || defined(__MINGW32__) #include #else #if !defined(__riscv) #include #endif #endif #endif #endif #endif #undef MIN #undef MAX #define MIN(a, b) ((a) < (b) ? (a) : (b)) #define MAX(a, b) ((a) > (b) ? (a) : (b)) // // 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) { // 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; } 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; float best = scale * sumlx; for (int itry = 0; itry < 3; ++itry) { iscale = 1/scale; float slx = 0; float sl2 = 0; bool changed = false; for (int i = 0; i < n; ++i) { int l = nearest_int(iscale * x[i]); l = MAX(-nmax, MIN(nmax-1, l)); if (l + nmax != L[i]) { changed = true; } float w = weight_type == 1 ? x[i] * x[i] : 1.f; slx += w*x[i]*l; sl2 += w*l*l; } if (!changed || sl2 == 0 || slx*slx <= best*sl2) { break; } for (int i = 0; i < n; ++i) { int l = nearest_int(iscale * x[i]); L[i] = nmax + MAX(-nmax, MIN(nmax-1, l)); } sumlx = slx; suml2 = sl2; scale = sumlx/suml2; best = scale * sumlx; } for (int itry = 0; itry < 5; ++itry) { int n_changed = 0; for (int i = 0; i < n; ++i) { float w = weight_type == 1 ? x[i]*x[i] : 1; int l = L[i] - nmax; float slx = sumlx - w*x[i]*l; if (slx > 0) { float sl2 = suml2 - w*l*l; int new_l = nearest_int(x[i] * sl2 / slx); new_l = MAX(-nmax, MIN(nmax-1, new_l)); if (new_l != l) { slx += w*x[i]*new_l; sl2 += w*new_l*new_l; if (sl2 > 0 && slx*slx*suml2 > sumlx*sumlx*sl2) { L[i] = nmax + new_l; sumlx = slx; suml2 = sl2; scale = sumlx / suml2; best = scale * sumlx; ++n_changed; } } } } if (!n_changed) { break; } } if (rmse_type < 3) { return scale; } for (int is = -4; is <= 4; ++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 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 = sum/n; if (min > 0) min = 0; iscale = 1/scale; if (!did_change) break; } *the_min = -min; return scale; } 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); } } //========================- 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]; 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) { scales[j] = make_qkx1_quants(16, 3, x + 16*j, L + 16*j, &mins[j], 5); 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; } } for (int j = 0; j < QK_K; j += 128) { for (int l = 0; l < 32; ++l) { y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6); } } x += QK_K; } } 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; 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; } } } 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) { const int nb = k / QK_K; // TODO - collect histograms - although, at a second thought, I don't really care about them (void)hist; for (int j = 0; j < nb; 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]; } } 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; } } memset(y[i].hmask, 0, QK_K/8); // We put the high-bit for the 1st 32 quants into bit 0, the next 32 into bit 1, etc. int m = 0; uint8_t hm = 1; for (int j = 0; j < QK_K; ++j) { if (L[j] > 3) { y[i].hmask[m] |= hm; L[j] -= 4; } if (++m == QK_K/8) { m = 0; hm <<= 1; } } for (int j = 0; j < QK_K; j += 128) { for (int l = 0; l < 32; ++l) { y[i].qs[j/4 + l] = L[j + l] | (L[j + l + 32] << 2) | (L[j + l + 64] << 4) | (L[j + l + 96] << 6); } } x += QK_K; } } void dequantize_row_q3_K(const block_q3_K * restrict x, float * restrict y, int k) { assert(k % QK_K == 0); assert(QK_K == 256); 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; } } } 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) { const int nb = k / QK_K; // TODO - collect histograms - although, at a second thought, I don't really care about them (void)hist; for (int j = 0; j < nb; 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]; 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], 5); 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(15, l)); L[32*j + ii] = l; } } uint8_t * q = y[i].qs; for (int j = 0; j < QK_K; j += 64) { for (int l = 0; l < 32; ++l) *q++ = L[j + l] | (L[j + l + 32] << 4); } 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 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; 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; } } } 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); const int nb = k / QK_K; (void)hist; // TODO: collect histograms for (int j = 0; j < nb; 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; uint8_t L[QK_K]; 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, 31, x + 32*j, L + 32*j, &mins[j], 5); 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; } 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 float d = ggml_fp16_to_fp32(x[i].d); const float min = ggml_fp16_to_fp32(x[i].dmin); const uint8_t * ql = x[i].qs; const uint8_t * qh = x[i].qh; 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; } } } 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); const int nb = k / QK_K; (void)hist; for (int j = 0; j < nb; 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; } } float iscale = -128.f/max_scale; y[i].d = ggml_fp32_to_fp16(1/iscale); for (int ib = 0; ib < QK_K/16; ++ib) { y[i].scales[ib] = MIN(127, nearest_int(iscale*scales[ib])); } for (int j = 0; j < QK_K/16; ++j) { float d = ggml_fp16_to_fp32(y[i].d) * y[i].scales[j]; if (!d) { continue; } for (int ii = 0; ii < 16; ++ii) { int l = nearest_int(x[16*j + ii]/d); l = MAX(-32, MIN(31, l)); L[16*j + ii] = l + 32; } } uint8_t * restrict ql = y[i].ql; uint8_t * restrict qh = y[i].qh; for (int j = 0; j < QK_K; j += 128) { for (int l = 0; l < 32; ++l) { const uint8_t q1 = L[j + l + 0] & 0xF; const uint8_t q2 = L[j + l + 32] & 0xF; const uint8_t q3 = L[j + l + 64] & 0xF; const uint8_t q4 = L[j + l + 96] & 0xF; ql[l+ 0] = q1 | (q3 << 4); ql[l+32] = q2 | (q4 << 4); qh[l] = (L[j + l] >> 4) | ((L[j + l + 32] >> 4) << 2) | ((L[j + l + 64] >> 4) << 4) | ((L[j + l + 96] >> 4) << 6); } ql += 64; qh += 32; } x += QK_K; } } 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; 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; } } } 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); const int nb = k / QK_K; (void)hist; // TODO for (int j = 0; j < nb; 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__ // 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); } // 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_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); 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 int16x8x2_t q8sums = vld1q_s16_x2(y[i].bsums); const 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 #if defined(__ARM_FEATURE_DOTPROD) #define MULTIPLY_ACCUM_WITH_SCALE(index)\ isum += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[0], q8bytes.val[0])) * aux[is+(index)];\ isum += vaddvq_s32(vdotq_s32(vzero, q2bytes.val[1], q8bytes.val[1])) * aux[is+1+(index)]; #else #define MULTIPLY_ACCUM_WITH_SCALE(index)\ {\ const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[0]), vget_low_s8 (q8bytes.val[0])),\ vmull_s8(vget_high_s8(q2bytes.val[0]), vget_high_s8(q8bytes.val[0])));\ const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q2bytes.val[1]), vget_low_s8 (q8bytes.val[1])),\ vmull_s8(vget_high_s8(q2bytes.val[1]), vget_high_s8(q8bytes.val[1])));\ isum += vaddvq_s16(p1) * aux[is+(index)] + vaddvq_s16(p2) * aux[is+1+(index)];\ } #endif #define SHIFT_MULTIPLY_ACCUM_WITH_SCALE(shift, index)\ q8bytes = 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 uint8x16x2_t q2bits = vld1q_u8_x2(q2); q2 += 32; int8x16x2_t q8bytes = 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); #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 } 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); #ifdef __ARM_FEATURE_DOTPROD const int32x4_t vzero = vdupq_n_s32(0); #endif 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; 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; uint8x16x2_t qhbits = vld1q_u8_x2(qh); 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 uint8x16x2_t q3bits = vld1q_u8_x2(q3); q3 += 32; const int8x16x4_t q8bytes_1 = vld1q_s8_x4(q8); q8 += 64; const int8x16x4_t q8bytes_2 = 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])); #if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[0], q8bytes_1.val[0])) * scale[0]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[1], q8bytes_1.val[1])) * scale[1]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[2], q8bytes_1.val[2])) * scale[2]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[3], q8bytes_1.val[3])) * scale[3]; #else int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[0]), vget_low_s8 (q8bytes_1.val[0])), vmull_s8(vget_high_s8(q3bytes.val[0]), vget_high_s8(q8bytes_1.val[0]))); int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[1]), vget_low_s8 (q8bytes_1.val[1])), vmull_s8(vget_high_s8(q3bytes.val[1]), vget_high_s8(q8bytes_1.val[1]))); int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[2]), vget_low_s8 (q8bytes_1.val[2])), vmull_s8(vget_high_s8(q3bytes.val[2]), vget_high_s8(q8bytes_1.val[2]))); int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[3]), vget_low_s8 (q8bytes_1.val[3])), vmull_s8(vget_high_s8(q3bytes.val[3]), vget_high_s8(q8bytes_1.val[3]))); isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1] + vaddvq_s16(p2) * scale[2] + vaddvq_s16(p3) * scale[3]; #endif 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])); #if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[0], q8bytes_2.val[0])) * scale[0]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[1], q8bytes_2.val[1])) * scale[1]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[2], q8bytes_2.val[2])) * scale[2]; isum += vaddvq_s32(vdotq_s32(vzero, q3bytes.val[3], q8bytes_2.val[3])) * scale[3]; #else p0 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[0]), vget_low_s8 (q8bytes_2.val[0])), vmull_s8(vget_high_s8(q3bytes.val[0]), vget_high_s8(q8bytes_2.val[0]))); p1 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[1]), vget_low_s8 (q8bytes_2.val[1])), vmull_s8(vget_high_s8(q3bytes.val[1]), vget_high_s8(q8bytes_2.val[1]))); p2 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[2]), vget_low_s8 (q8bytes_2.val[2])), vmull_s8(vget_high_s8(q3bytes.val[2]), vget_high_s8(q8bytes_2.val[2]))); p3 = vaddq_s16(vmull_s8(vget_low_s8 (q3bytes.val[3]), vget_low_s8 (q8bytes_2.val[3])), vmull_s8(vget_high_s8(q3bytes.val[3]), vget_high_s8(q8bytes_2.val[3]))); isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1] + vaddvq_s16(p2) * scale[2] + vaddvq_s16(p3) * scale[3]; #endif 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); #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 } 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); #ifdef __ARM_FEATURE_DOTPROD const int32x4_t mzero = vdupq_n_s32(0); #endif int8x16x2_t q4bytes; 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); const uint32x2_t mins8 = {utmp[1] & kmask1, ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4)}; 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; //int32x4_t isum = mzero; int32_t sumi1 = 0; int32_t sumi2 = 0; for (int j = 0; j < QK_K/64; ++j) { const uint8x16x2_t q4bits = vld1q_u8_x2(q4); q4 += 32; #ifdef __ARM_FEATURE_DOTPROD q8bytes = 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 = vdotq_s32(vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]); sumi1 += vaddvq_s32(p1) * scales[2*j+0]; q8bytes = 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 = vdotq_s32(vdotq_s32(mzero, q4bytes.val[0], q8bytes.val[0]), q4bytes.val[1], q8bytes.val[1]); sumi2 += vaddvq_s32(p2) * scales[2*j+1]; #else q8bytes = 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 int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[0])), vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[0]))); const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[1])), vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[1]))); sumi1 += vaddvq_s16(vaddq_s16(p0, p1)) * scales[2*j+0]; q8bytes = 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 int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[0]), vget_low_s8 (q8bytes.val[0])), vmull_s8(vget_high_s8(q4bytes.val[0]), vget_high_s8(q8bytes.val[0]))); const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q4bytes.val[1]), vget_low_s8 (q8bytes.val[1])), vmull_s8(vget_high_s8(q4bytes.val[1]), vget_high_s8(q8bytes.val[1]))); sumi2 += vaddvq_s16(vaddq_s16(p2, p3)) * scales[2*j+1]; #endif } 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); 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 __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); sumi = _mm256_add_epi32(sumi, 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); sumi = _mm256_add_epi32(sumi, p16h); } __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); #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 } 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 int32x4_t mzero = vdupq_n_s32(0); const uint8x16_t mone = vdupq_n_u8(1); const uint8x16_t mtwo = vdupq_n_u8(2); 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; uint8x16x2_t qhbits = vld1q_u8_x2(qh); uint8x16x4_t q5h; int32_t sumi = 0; for (int j = 0; j < QK_K/64; ++j) { const uint8x16x2_t q5bits = vld1q_u8_x2(q5); q5 += 32; const int8x16x4_t q8bytes = 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])); #if defined(__ARM_FEATURE_DOTPROD) sumi += vaddvq_s32(vdotq_s32(vdotq_s32(mzero, q5bytes.val[0], q8bytes.val[0]), q5bytes.val[1], q8bytes.val[1])) * *scales++; sumi += vaddvq_s32(vdotq_s32(vdotq_s32(mzero, q5bytes.val[2], q8bytes.val[2]), q5bytes.val[3], q8bytes.val[3])) * *scales++; #else const int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[0]), vget_low_s8 (q8bytes.val[0])), vmull_s8(vget_high_s8(q5bytes.val[0]), vget_high_s8(q8bytes.val[0]))); const int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[1]), vget_low_s8 (q8bytes.val[1])), vmull_s8(vget_high_s8(q5bytes.val[1]), vget_high_s8(q8bytes.val[1]))); sumi += vaddvq_s16(vaddq_s16(p0, p1)) * *scales++; const int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[2]), vget_low_s8 (q8bytes.val[2])), vmull_s8(vget_high_s8(q5bytes.val[2]), vget_high_s8(q8bytes.val[2]))); const int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q5bytes.val[3]), vget_low_s8 (q8bytes.val[3])), vmull_s8(vget_high_s8(q5bytes.val[3]), vget_high_s8(q8bytes.val[3]))); sumi += vaddvq_s16(vaddq_s16(p2, p3)) * *scales++; #endif } 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 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 __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; #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 } 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); int8x16x4_t q6bytes; 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 int16x8x2_t q8sums = vld1q_s16_x2(y[i].bsums); const int8x16_t scales = vld1q_s8(scale); const 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) { uint8x16x2_t qhbits = vld1q_u8_x2(qh); qh += 32; uint8x16x4_t q6bits = vld1q_u8_x4(q6); q6 += 64; int8x16x4_t q8bytes = 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])); #if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3]; scale += 4; #else int16x8_t p0 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[0]), vget_low_s8 (q8bytes.val[0])), vmull_s8(vget_high_s8(q6bytes.val[0]), vget_high_s8(q8bytes.val[0]))); int16x8_t p1 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[1]), vget_low_s8 (q8bytes.val[1])), vmull_s8(vget_high_s8(q6bytes.val[1]), vget_high_s8(q8bytes.val[1]))); isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1]; scale += 2; int16x8_t p2 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[2]), vget_low_s8 (q8bytes.val[2])), vmull_s8(vget_high_s8(q6bytes.val[2]), vget_high_s8(q8bytes.val[2]))); int16x8_t p3 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[3]), vget_low_s8 (q8bytes.val[3])), vmull_s8(vget_high_s8(q6bytes.val[3]), vget_high_s8(q8bytes.val[3]))); isum += vaddvq_s16(p2) * scale[0] + vaddvq_s16(p3) * scale[1]; scale += 2; #endif q8bytes = 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])); #if defined(__ARM_FEATURE_DOTPROD) isum += vaddvq_s32(vdotq_s32(vzero, q6bytes.val[0], q8bytes.val[0])) * scale[0] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[1], q8bytes.val[1])) * scale[1] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[2], q8bytes.val[2])) * scale[2] + vaddvq_s32(vdotq_s32(vzero, q6bytes.val[3], q8bytes.val[3])) * scale[3]; scale += 4; //for (int l = 0; l < 4; ++l) { // const int32x4_t p = vdotq_s32(vzero, q6bytes.val[l], q8bytes.val[l]); // isum += vaddvq_s32(p) * *scale++; //} #else p0 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[0]), vget_low_s8 (q8bytes.val[0])), vmull_s8(vget_high_s8(q6bytes.val[0]), vget_high_s8(q8bytes.val[0]))); p1 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[1]), vget_low_s8 (q8bytes.val[1])), vmull_s8(vget_high_s8(q6bytes.val[1]), vget_high_s8(q8bytes.val[1]))); isum += vaddvq_s16(p0) * scale[0] + vaddvq_s16(p1) * scale[1]; scale += 2; p2 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[2]), vget_low_s8 (q8bytes.val[2])), vmull_s8(vget_high_s8(q6bytes.val[2]), vget_high_s8(q8bytes.val[2]))); p3 = vaddq_s16(vmull_s8(vget_low_s8 (q6bytes.val[3]), vget_low_s8 (q8bytes.val[3])), vmull_s8(vget_high_s8(q6bytes.val[3]), vget_high_s8(q8bytes.val[3]))); isum += vaddvq_s16(p2) * scale[0] + vaddvq_s16(p3) * scale[1]; scale += 2; #endif } //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); #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 }