mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-02-24 07:04:11 +00:00
New iq2_kt: AVX2 GEMM/GEMV
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@@ -159,6 +159,25 @@ struct Trellis3 {
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#else
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auto dot = _mm256_maddubs_epi16(i8, _mm256_set1_epi32(0x01010101));
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aux[i] = _mm256_add_epi32(offset, _mm256_madd_epi16(dot, _mm256_set1_epi16(1)));
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#endif
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}
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aux[0] = _mm256_packs_epi32(aux[0], aux[1]); // 0, 1, 2, 3, 8, 9, 10, 11, 4, 5, 6, 7, 12, 13, 14, 15
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aux[2] = _mm256_packs_epi32(aux[2], aux[3]); // 16, 17, 18, 19, 24, 25, 26, 27, 20, 21, 22, 23, 28, 29, 30, 31
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aux[0] = _mm256_packs_epi16(aux[0], aux[2]); // 0, 1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27
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// 4, 5, 6, 7, 12, 13, 14, 15, 20, 21, 22, 23, 28, 29, 30, 31
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return _mm256_permutevar8x32_epi32(aux[0], shuffle);
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}
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template <bool is_unsigned = false>
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inline __m256i next32(const uint16_t * val, uint32_t v0) const {
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const __m256i offset = is_unsigned ? _mm256_setzero_si256() : _mm256_set1_epi32(-126);
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__m256i aux[4];
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for (int i = 0; i < 4; ++i) {
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auto i8 = _mm256_and_si256(next8(v0 + val[i]), _mm256_set1_epi32(0x3f3f3f3f));
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#ifdef HAVE_FANCY_SIMD
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aux[i] = _mm256_dpbusd_epi32(offset, _mm256_set1_epi32(0x01010101), i8);
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#else
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auto dot = _mm256_maddubs_epi16(i8, _mm256_set1_epi32(0x01010101));
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aux[i] = _mm256_add_epi32(offset, _mm256_madd_epi16(dot, _mm256_set1_epi16(1)));
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#endif
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}
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aux[0] = _mm256_packs_epi32(aux[0], aux[1]); // 0, 1, 2, 3, 8, 9, 10, 11, 4, 5, 6, 7, 12, 13, 14, 15
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@@ -352,6 +371,93 @@ void mul_mat_iq2_kt_F32_T(int n, const void * vx, size_t bx, const DataInfo& inf
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}
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}
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template <int nrc_y>
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void mul_mat_iq2_kt_q8_2_x4_T(int n, const void * vx, size_t bx, const DataInfo& info, int nrc_x) {
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assert(n%QK_K == 0);
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const int nb = n/QK_K;
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Trellis3<true> trellis;
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auto shifts = _mm_set_epi32(0, 0, 4, 0);
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auto values = _mm_loadu_si128((const __m128i *)iq4k_values);
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constexpr int k_acc = nrc_y;
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__m256 accd[k_acc];
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const block_q8_2_x4 * y[nrc_y];
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for (int iy = 0; iy < nrc_y; ++iy) {
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y[iy] = (const block_q8_2_x4 *)info.src1_row(iy);
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}
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__m256i xv[4], dot[4];
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__m256 scales[2];
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auto sum_4 = [&dot] () {
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// dot[k] has 8 values from block k
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// 0 1 0 1 0 1 0 1
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dot[0] = _mm256_add_epi32(_mm256_unpacklo_epi32(dot[0], dot[1]), _mm256_unpackhi_epi32(dot[0], dot[1]));
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// 2 3 2 3 2 3 2 3
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dot[2] = _mm256_add_epi32(_mm256_unpacklo_epi32(dot[2], dot[3]), _mm256_unpackhi_epi32(dot[2], dot[3]));
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// 0 1 2 3 0 1 2 3
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dot[0] = _mm256_add_epi32(_mm256_unpacklo_epi64(dot[0], dot[2]), _mm256_unpackhi_epi64(dot[0], dot[2]));
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return _mm256_cvtepi32_ps(dot[0]);
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};
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auto compute_dot = [&dot, &xv] (const int8_t * y) {
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for (int k = 0; k < 4; ++k) {
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auto yv = _mm256_loadu_si256((const __m256i *)y + k);
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#ifdef HAVE_FANCY_SIMD
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//dot[k] = _mm256_dpbusd_epi32(_mm256_setzero_si256(), xv[k], yv);
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dot[k] = _mm256_dpbusd_epi32(_mm256_setzero_si256(), _mm256_sign_epi8(xv[k], xv[k]), _mm256_sign_epi8(yv, xv[k]));
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#else
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auto p = _mm256_maddubs_epi16(_mm256_sign_epi8(xv[k], xv[k]), _mm256_sign_epi8(yv, xv[k]));
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dot[k] = _mm256_madd_epi16(p, _mm256_set1_epi16(1));
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#endif
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}
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};
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//auto m126 = _mm256_set1_ps(-126.f);
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for (int ix = 0; ix < nrc_x; ++ix) {
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const float * dptr = (const float *)((const char*)vx + ix*bx);
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auto d = _mm256_set1_ps(dptr[0] * 1.05f);
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const block_iq2_kt * x = (const block_iq2_kt *)(dptr + 1);
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for (int iy = 0; iy < k_acc; ++iy) accd[iy] = _mm256_setzero_ps();
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for (int i = 0; i < nb; ++i) {
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const uint16_t * ql = (const uint16_t *)x[i].ql;
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auto s8 = _mm_set1_epi32(*(const uint32_t *)x[i].scales);
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s8 = _mm_and_si128(_mm_srlv_epi32(s8, shifts), _mm_set1_epi8(0xf));
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s8 = _mm_shuffle_epi8(values, s8);
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auto s32 = _mm256_cvtepi8_epi32(s8);
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auto all_scales = _mm256_mul_ps(d, _mm256_cvtepi32_ps(s32));
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auto scales_l = _mm256_castps256_ps128(all_scales);
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auto scales_h = _mm256_extractf128_ps(all_scales, 1);
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scales[0] = _mm256_set_m128(scales_l, scales_l);
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scales[1] = _mm256_set_m128(scales_h, scales_h);
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for (int i128 = 0; i128 < 2; ++i128) {
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//for (int k = 0; k < 4; ++k) xv[k] = trellis.next32<true>(values + 32*i128 + 8*k);
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for (int k = 0; k < 4; ++k) xv[k] = trellis.next32(ql + 16*i128 + 4*k, 4096);
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for (int iy = 0; iy < nrc_y; ++iy) {
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const block_q8_2_x4& yb = y[iy][2*i+i128];
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auto dy = _mm256_castsi256_ps(_mm256_slli_epi32(_mm256_cvtepu16_epi32(_mm_loadu_si128((const __m128i *)yb.d)), 16));
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dy = _mm256_mul_ps(scales[i128], dy);
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auto d8 = _mm256_set_m128(_mm256_castps256_ps128(dy), _mm256_castps256_ps128(dy));
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//auto m8 = _mm256_set_m128(_mm256_extractf128_ps(dy, 1), _mm256_extractf128_ps(dy, 1));
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compute_dot(yb.qs);
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accd[iy] = _mm256_fmadd_ps(d8, sum_4(), accd[iy]);
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//accd[iy] = _mm256_fmadd_ps(m8, m126, accd[iy]);
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}
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}
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}
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for (int iy = 0; iy < nrc_y; ++iy) {
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info.store(ix, iy, hsum_float_8(accd[iy]));
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}
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}
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}
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inline __m256 abs_ps(__m256 vals) {
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// Clear sign-bit of all the 32-bit floats in vals
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__m256 sign_bit = _mm256_set1_ps(-0.0f);
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@@ -760,13 +866,13 @@ bool iqk_set_kernels_ktquants(int ne00, int typeA, int typeB, std::array<mul_mat
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return false;
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}
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//if (typeA == GGML_TYPE_IQ2_KT) {
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// if (typeB == GGML_TYPE_Q8_2_X4) {
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// IQK_SET_MUL_MAT_FUNCTIONS(mul_mat_iq2_kt_q8_2_x4_T, kernels);
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// return true;
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// }
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// return false;
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//}
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if (typeA == GGML_TYPE_IQ2_KT) {
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if (typeB == GGML_TYPE_Q8_2_X4) {
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IQK_SET_MUL_MAT_FUNCTIONS(mul_mat_iq2_kt_q8_2_x4_T, kernels);
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return true;
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}
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return false;
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}
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if (ggml_type(typeB) != GGML_TYPE_F32) {
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return false;
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