mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-02-24 07:04:11 +00:00
Finally q6_K x q8_2_x4 dot product works
This commit is contained in:
@@ -1036,12 +1036,12 @@ static const ggml_type_traits_t type_traits[GGML_TYPE_COUNT] = {
|
||||
.from_float = quantize_row_q6_K,
|
||||
.from_float_ref = (ggml_from_float_t) quantize_row_q6_K_ref,
|
||||
.vec_dot = ggml_vec_dot_q6_K_q8_K,
|
||||
//#ifdef __AVX2__
|
||||
// .vec_dot_type = GGML_TYPE_Q8_2_X4,
|
||||
//#else
|
||||
// .vec_dot_type = GGML_TYPE_Q8_K,
|
||||
//#endif
|
||||
#ifdef __AVX2__
|
||||
.vec_dot_type = GGML_TYPE_Q8_2_X4,
|
||||
#else
|
||||
.vec_dot_type = GGML_TYPE_Q8_K,
|
||||
#endif
|
||||
// .vec_dot_type = GGML_TYPE_Q8_K,
|
||||
.nrows = 1,
|
||||
.row_meta_size = 0,
|
||||
},
|
||||
|
||||
@@ -861,6 +861,127 @@ static void mul_mat_qX_K_q8_2_X4_T(int n, const void * vx, size_t bx, const Data
|
||||
}
|
||||
}
|
||||
|
||||
struct DequantizerQ6K_AVX2 final : public BaseDequantizer<block_q6_K> {
|
||||
DequantizerQ6K_AVX2(const void * vx, size_t bx) : BaseDequantizer(vx, bx) {}
|
||||
inline void prepare(int i, int j) {
|
||||
auto lbits1 = _mm256_loadu_si256((const __m256i *)x[i].ql + 2*j+0);
|
||||
auto lbits2 = _mm256_loadu_si256((const __m256i *)x[i].ql + 2*j+1);
|
||||
auto hbits = _mm256_loadu_si256((const __m256i *)x[i].qh + j);
|
||||
bits.values[0] = _mm256_or_si256(_mm256_and_si256(lbits1, bits.ml), _mm256_and_si256(_mm256_slli_epi16(hbits, 4), mh));
|
||||
bits.values[1] = _mm256_or_si256(_mm256_and_si256(lbits2, bits.ml), _mm256_and_si256(_mm256_slli_epi16(hbits, 2), mh));
|
||||
bits.values[2] = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(lbits1, 4), bits.ml), _mm256_and_si256(hbits, mh));
|
||||
bits.values[3] = _mm256_or_si256(_mm256_and_si256(_mm256_srli_epi16(lbits2, 4), bits.ml), _mm256_and_si256(_mm256_srli_epi16(hbits, 2), mh));
|
||||
}
|
||||
inline void prepare_signed(int i, int j, __m256i * us) {
|
||||
prepare(i, j);
|
||||
for (int k = 0; k < 4; ++k) {
|
||||
bits.values[k] = _mm256_add_epi8(bits.values[k], _mm256_set1_epi8(-32));
|
||||
us[k] = _mm256_sign_epi8(bits.values[k], bits.values[k]);
|
||||
}
|
||||
}
|
||||
|
||||
const __m256i mh = _mm256_set1_epi8(0x30);
|
||||
Q4Bits_AVX2 bits;
|
||||
};
|
||||
|
||||
template <typename Dequantizer, int nrc_y>
|
||||
static void mul_mat_qY_K_q8_2_X4_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
|
||||
assert(n % QK_K == 0);
|
||||
const int nb = n / QK_K;
|
||||
|
||||
Q8<nrc_y, block_q8_2_x4> q8(info);
|
||||
|
||||
Dequantizer deq(vx, bx);
|
||||
|
||||
__m256 accd[nrc_y];
|
||||
__m256 scales[2];
|
||||
float d8[8*nrc_y];
|
||||
__m256i us[4];
|
||||
|
||||
uint8_t k_shuff[32] = {0, 1, 4, 5, 8, 9, 12, 13, 2, 3, 6, 7, 10, 11, 14, 15, 0, 1, 4, 5, 8, 9, 12, 13, 2, 3, 6, 7, 10, 11, 14, 15};
|
||||
auto shuff = _mm256_loadu_si256((const __m256i *)k_shuff);
|
||||
|
||||
for (int ix = 0; ix < nrc_x; ++ix) {
|
||||
|
||||
for (int iy = 0; iy < nrc_y; ++iy) accd[iy] = _mm256_setzero_ps();
|
||||
|
||||
deq.new_row(ix);
|
||||
|
||||
for (int i = 0; i < nb; ++i) {
|
||||
|
||||
deq.d = GGML_FP16_TO_FP32(deq.x[i].d);
|
||||
auto vd = _mm256_set1_ps(deq.d);
|
||||
auto sc16 = _mm256_shuffle_epi8(_mm256_cvtepi8_epi16(_mm_loadu_si128((const __m128i *)deq.x[i].scales)), shuff);
|
||||
scales[0] = _mm256_mul_ps(vd, _mm256_cvtepi32_ps(_mm256_cvtepi16_epi32(_mm256_castsi256_si128(sc16))));
|
||||
scales[1] = _mm256_mul_ps(vd, _mm256_cvtepi32_ps(_mm256_cvtepi16_epi32(_mm256_extracti128_si256(sc16, 1))));
|
||||
//scales[0] = _mm256_mul_ps(vd, _mm256_cvtepi32_ps(_mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i *)(deq.x[i].scales+0)))));
|
||||
//scales[1] = _mm256_mul_ps(vd, _mm256_cvtepi32_ps(_mm256_cvtepi8_epi32(_mm_loadl_epi64((const __m128i *)(deq.x[i].scales+8)))));
|
||||
//auto mins1 = _mm256_mul_ps(scales[0], _mm256_set1_ps(-32.f));
|
||||
//auto mins2 = _mm256_mul_ps(scales[1], _mm256_set1_ps(-32.f));
|
||||
for (int iy = 0; iy < nrc_y; ++iy) {
|
||||
auto d4_1 = _mm_cvtepu16_epi32(_mm_loadl_epi64((const __m128i *)(q8.y[iy][2*i+0].d)));
|
||||
auto d4_2 = _mm_cvtepu16_epi32(_mm_loadl_epi64((const __m128i *)(q8.y[iy][2*i+1].d)));
|
||||
auto dy = _mm256_castsi256_ps(_mm256_slli_epi32(MM256_SET_M128I(d4_2, d4_1), 16));
|
||||
_mm256_storeu_ps(d8 + 8*iy, dy);
|
||||
//auto m4_1 = _mm_castsi128_ps(_mm_slli_epi16(_mm_cvtepu16_epi32(_mm_loadl_epi64((const __m128i *)(q8.y[iy][2*i+0].d+4))), 16));
|
||||
//auto m4_2 = _mm_castsi128_ps(_mm_slli_epi16(_mm_cvtepu16_epi32(_mm_loadl_epi64((const __m128i *)(q8.y[iy][2*i+1].d+4))), 16));
|
||||
//auto my1 = _mm256_set_m128(_mm_unpackhi_ps(m4_1, m4_1), _mm_unpacklo_ps(m4_1, m4_1)); // 0,0, 1,1, 2,2, 3,3
|
||||
//auto my2 = _mm256_set_m128(_mm_unpackhi_ps(m4_2, m4_2), _mm_unpacklo_ps(m4_2, m4_2)); // 4,4, 5,5, 6,6, 7,7
|
||||
//accd[iy] = _mm256_fmadd_ps(my1, mins1, accd[iy]);
|
||||
//accd[iy] = _mm256_fmadd_ps(my2, mins2, accd[iy]);
|
||||
}
|
||||
|
||||
for (int j = 0; j < QK_K/128; ++j) {
|
||||
|
||||
deq.prepare_signed(i, j, us);
|
||||
|
||||
for (int iy = 0; iy < nrc_y; ++iy) {
|
||||
auto qs = q8.y[iy][2*i+j].qs;
|
||||
#ifdef HAVE_FANCY_SIMD
|
||||
// 0...31
|
||||
auto sumi1 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), us[0], _mm256_sign_epi8(_mm256_loadu_si256((const __m256i*)qs+0), deq.bits.values[0]));
|
||||
// 32...63
|
||||
auto sumi2 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), us[1], _mm256_sign_epi8(_mm256_loadu_si256((const __m256i*)qs+1), deq.bits.values[1]));
|
||||
// 64...95
|
||||
auto sumi3 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), us[2], _mm256_sign_epi8(_mm256_loadu_si256((const __m256i*)qs+2), deq.bits.values[2]));
|
||||
// 96...128
|
||||
auto sumi4 = _mm256_dpbusd_epi32(_mm256_setzero_si256(), us[3], _mm256_sign_epi8(_mm256_loadu_si256((const __m256i*)qs+3), deq.bits.values[3]));
|
||||
// 0...3, 32...35, 4....7, 36...39, 16...19, 48...51, 20...23, 52...56 +
|
||||
// 8..11, 40...43, 12...15, 44...47, 24...27, 56...59, 28...31, 60...63
|
||||
// b0 b2 b0 b2 b1 b3 b1 b3
|
||||
sumi1 = _mm256_add_epi32(_mm256_unpacklo_epi32(sumi1, sumi2), _mm256_unpackhi_epi32(sumi1, sumi2));
|
||||
// same as above + 64, so
|
||||
// b4 b6, b4 b6 b5 b7 b5 b7
|
||||
sumi3 = _mm256_add_epi32(_mm256_unpacklo_epi32(sumi3, sumi4), _mm256_unpackhi_epi32(sumi3, sumi4));
|
||||
// b0 b2 b4 b6 b1 b3 b5 b7 +
|
||||
// b0 b2 b4 b6 b1 b3 b5 b7
|
||||
sumi1 = _mm256_add_epi32(_mm256_unpacklo_epi64(sumi1, sumi3), _mm256_unpackhi_epi64(sumi1, sumi3));
|
||||
#else
|
||||
auto sumi1 = _mm256_maddubs_epi16(deq.bits.values[0], _mm256_loadu_si256((const __m256i*)y.qs+0));
|
||||
auto sumi2 = _mm256_maddubs_epi16(deq.bits.values[1], _mm256_loadu_si256((const __m256i*)y.qs+1));
|
||||
auto sumi3 = _mm256_maddubs_epi16(deq.bits.values[2], _mm256_loadu_si256((const __m256i*)y.qs+2));
|
||||
auto sumi4 = _mm256_maddubs_epi16(deq.bits.values[3], _mm256_loadu_si256((const __m256i*)y.qs+3));
|
||||
sumi1 = _mm256_add_epi16(_mm256_unpacklo_epi32(sumi1, sumi2), _mm256_unpackhi_epi32(sumi1, sumi2));
|
||||
sumi3 = _mm256_add_epi16(_mm256_unpacklo_epi32(sumi3, sumi4), _mm256_unpackhi_epi32(sumi3, sumi4));
|
||||
sumi1 = _mm256_add_epi16(_mm256_unpacklo_epi64(sumi1, sumi3), _mm256_unpackhi_epi64(sumi1, sumi3));
|
||||
sumi1 = _mm256_madd_epi16(_mm256_set1_epi16(1), sumi1);
|
||||
#endif
|
||||
auto dy4 = _mm_loadu_ps(d8 + 8*iy + 4*j);
|
||||
auto d4d8 = _mm256_mul_ps(scales[j], _mm256_set_m128(dy4, dy4));
|
||||
accd[iy] = _mm256_fmadd_ps(d4d8, _mm256_cvtepi32_ps(sumi1), accd[iy]);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
for (int iy = 0; iy < nrc_y; ++iy) {
|
||||
info.store(ix, iy, hsum_float_8(accd[iy]));
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
template <int nrc_y>
|
||||
static void mul_mat_iq4_xs_r8_q8_k_avx2(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
|
||||
GGML_ASSERT(nrc_x%8 == 0);
|
||||
@@ -2076,7 +2197,8 @@ bool iqk_set_kernels_kquants(int ne00, int typeA, int typeB, std::array<mul_mat_
|
||||
auto expected_type_B = etypeA == GGML_TYPE_IQ4_XS_R8 || etypeA == GGML_TYPE_Q4_K_R4 || etypeA == GGML_TYPE_Q5_K_R4 ? GGML_TYPE_Q8_K32
|
||||
: etypeA == GGML_TYPE_Q8_K_R8 ? GGML_TYPE_Q8_KR8
|
||||
: etypeA == GGML_TYPE_Q8_KV || etypeA == GGML_TYPE_Q8_KV_R8 ? GGML_TYPE_Q8_KV
|
||||
: etypeA == GGML_TYPE_Q4_K || etypeA == GGML_TYPE_Q5_K ? GGML_TYPE_Q8_2_X4
|
||||
: etypeA == GGML_TYPE_Q4_K || etypeA == GGML_TYPE_Q5_K || etypeA == GGML_TYPE_Q6_K ? GGML_TYPE_Q8_2_X4
|
||||
//: etypeA == GGML_TYPE_Q4_K || etypeA == GGML_TYPE_Q5_K ? GGML_TYPE_Q8_2_X4
|
||||
: GGML_TYPE_Q8_K;
|
||||
|
||||
if (ne00%QK_K != 0 || ggml_type(typeB) != expected_type_B) {
|
||||
@@ -2101,7 +2223,8 @@ bool iqk_set_kernels_kquants(int ne00, int typeA, int typeB, std::array<mul_mat_
|
||||
//set_functions<DequantizerQ5K>(kernels);
|
||||
break;
|
||||
case GGML_TYPE_Q6_K:
|
||||
set_functions<DequantizerQ6K>(kernels);
|
||||
IQK_SET_MUL_MAT_FUNCTIONS_T(mul_mat_qY_K_q8_2_X4_T, DequantizerQ6K_AVX2, kernels);
|
||||
//set_functions<DequantizerQ6K>(kernels);
|
||||
break;
|
||||
case GGML_TYPE_IQ4_XS:
|
||||
set_functions<DequantizerIQ4XS>(kernels);
|
||||
|
||||
@@ -245,8 +245,7 @@ struct MulMat {
|
||||
case GGML_TYPE_IQ1_S : return nrc_y >= 32 ? GGML_TYPE_Q8_0_R8 : type;
|
||||
case GGML_TYPE_Q4_K : return nrc_y >= 32 ? GGML_TYPE_Q8_1 : type;
|
||||
case GGML_TYPE_Q5_K : return nrc_y >= 32 ? GGML_TYPE_Q8_1 : type;
|
||||
//case GGML_TYPE_Q6_K : return nrc_y >= 32 ? GGML_TYPE_Q8_0_R8 : type;
|
||||
case GGML_TYPE_Q6_K : return GGML_TYPE_Q8_0_R8;
|
||||
case GGML_TYPE_Q6_K : return nrc_y >= 32 ? GGML_TYPE_Q8_0_R8 : type;
|
||||
default: break;
|
||||
}
|
||||
#else
|
||||
|
||||
Reference in New Issue
Block a user