diff options
Diffstat (limited to 'ggml/src/iqk/iqk_quantize.cpp')
-rw-r--r-- | ggml/src/iqk/iqk_quantize.cpp | 108 |
1 files changed, 108 insertions, 0 deletions
diff --git a/ggml/src/iqk/iqk_quantize.cpp b/ggml/src/iqk/iqk_quantize.cpp index 90417899..095235cd 100644 --- a/ggml/src/iqk/iqk_quantize.cpp +++ b/ggml/src/iqk/iqk_quantize.cpp @@ -5696,6 +5696,109 @@ void vec_dot_iq3_xxs_r4_q8_k(int n, float * s, size_t bs, const void * vx, size_ GGML_UNUSED(by); } +// +// ========================================= iq3_s_r4 +// + +void quantize_row_iq3_s_r4_ref(const float * x, block_iq3_s_r4 * y, int64_t k) { + quantize_iq3_s_r4(x, (void *)y, 4, k/4, nullptr); +} + +void quantize_row_iq3_s_r4(const float * x, void * y, int64_t k) { + quantize_iq3_s_r4(x, y, 4, k/4, nullptr); +} + +static void repack_iq3_s(int nrows, int n_per_row, const block_iq3_s * x, block_iq3_s_r4 * y) { + GGML_ASSERT(nrows%4 == 0); + GGML_ASSERT(n_per_row%QK_K == 0); + int nblock = n_per_row/QK_K; + const block_iq3_s * x4[4]; + for (int row = 0; row < nrows; row += 4) { + for (int k = 0; k < 4; ++k) x4[k] = x + nblock*k; + for (int ibl = 0; ibl < nblock; ++ibl) { + std::memset(y[ibl].scales, 0, QK_K/16); + std::memset(y[ibl].signs, 0, QK_K/2); + std::memset(y[ibl].qh, 0, QK_K/8); + for (int k = 0; k < 4; ++k) { + y[ibl].d[k] = x4[k][ibl].d; + for (int ib = 0; ib < QK_K/64; ++ib) { + int j = 8*ib + k; + y[ibl].scales[(j+0)%16] |= ((x4[k][ibl].scales[ib] & 0xf) << 4*((j+0)/16)); + y[ibl].scales[(j+4)%16] |= ((x4[k][ibl].scales[ib] >> 4) << 4*((j+4)/16)); + } + for (int ib = 0; ib < QK_K/32; ++ib) { + y[ibl].qh[4*ib+k] = x4[k][ibl].qh[ib]; // leave ot like this? + for (int i = 0; i < 4; ++i) { + y[ibl].qs[32*ib+k+8*i+0] = x4[k][ibl].qs[8*ib+i+0]; + y[ibl].qs[32*ib+k+8*i+4] = x4[k][ibl].qs[8*ib+i+4]; + } + for (int i = 0; i < 4; ++i) { + y[ibl].signs[16*ib+4*k+i] = (((x4[k][ibl].signs[4*ib+0] >> i) & 1) << 0) | (((x4[k][ibl].signs[4*ib+0] >> (4+i)) & 1) << 1) | + (((x4[k][ibl].signs[4*ib+1] >> i) & 1) << 2) | (((x4[k][ibl].signs[4*ib+1] >> (4+i)) & 1) << 3) | + (((x4[k][ibl].signs[4*ib+2] >> i) & 1) << 4) | (((x4[k][ibl].signs[4*ib+2] >> (4+i)) & 1) << 5) | + (((x4[k][ibl].signs[4*ib+3] >> i) & 1) << 6) | (((x4[k][ibl].signs[4*ib+3] >> (4+i)) & 1) << 7); + } + } + } + } + x += 4*nblock; + y += nblock; + } +} + +size_t quantize_iq3_s_r4(const float * src, void * dst, int64_t nrows, int64_t n_per_row, const float * imatrix) { + GGML_ASSERT(nrows%4 == 0); + GGML_ASSERT(n_per_row%QK_K == 0); + char * qcur = (char *)dst; + auto row_size = ggml_row_size(GGML_TYPE_IQ3_S, n_per_row); + std::vector<char> qtmp(4*row_size); + for (int row = 0; row < nrows; row += 4) { + quantize_iq3_s(src, (void *)qtmp.data(), 4, n_per_row, imatrix); + repack_iq3_s(4, n_per_row, (const block_iq3_s *)qtmp.data(), (block_iq3_s_r4 *)qcur); + qcur += 4*row_size; + src += 4*n_per_row; + } + return nrows*row_size; +} + +void dequantize_row_iq3_s_r4(const block_iq3_s_r4 * x, float * y, int64_t k) { + auto n_per_row = k/4; + float * y4[4] = {y, y + n_per_row, y + 2*n_per_row, y + 3*n_per_row}; + int nblock = n_per_row/QK_K; + for (int ibl = 0; ibl < nblock; ++ibl) { + for (int k = 0; k < 4; ++k) { + const float d = GGML_FP16_TO_FP32(x[ibl].d[k]); + for (int ib = 0; ib < QK_K/32; ++ib) { + int l = 4*ib + k; + float dl = d * (1 + 2*((x[ibl].scales[l%16] >> 4*(l/16)) & 0xf)); + for (int i = 0; i < 4; ++i) { + auto grid1 = (const uint8_t *)(iq3s_grid + x[ibl].qs[32*ib+k+8*i+0] + ((x[ibl].qh[4*ib+k] << (8-i)) & 0x100)); + auto grid2 = (const uint8_t *)(iq3s_grid + x[ibl].qs[32*ib+k+8*i+4] + ((x[ibl].qh[4*ib+k] << (4-i)) & 0x100)); + for (int j = 0; j < 4; ++j) { + y4[k][QK_K*ibl+32*ib+4*i+ 0+j] = dl * grid1[j] * (x[ibl].signs[16*ib+4*k+j] & (1 << (i+0)) ? -1 : 1); + y4[k][QK_K*ibl+32*ib+4*i+16+j] = dl * grid2[j] * (x[ibl].signs[16*ib+4*k+j] & (1 << (i+4)) ? -1 : 1); + } + } + } + } + } +} + +void vec_dot_iq3_s_r4_q8_k(int n, float * s, size_t bs, const void * vx, size_t bx, const void * vy, size_t by, int nrc) { +#if GGML_USE_IQK_MULMAT + if (iqk_mul_mat(1, 1, n, GGML_TYPE_IQ3_S_R4, vx, 0, GGML_TYPE_Q8_K, vy, 0, s, 0, 0, 1)) { + return; + } +#endif + GGML_ASSERT(n%QK4_NL == 0); + GGML_ASSERT(nrc == 1); + GGML_UNUSED(bs); + GGML_UNUSED(bx); + GGML_UNUSED(by); +} + +//================================================ + void iqk_repack_tensor(struct ggml_tensor * tensor) { constexpr int kChunk = 8; if (!tensor) return; @@ -5711,6 +5814,11 @@ void iqk_repack_tensor(struct ggml_tensor * tensor) { { GGML_TYPE_IQ4_KS, { GGML_TYPE_IQ4_KS_R4, 4, (Repack::repack_func)repack_iq4_ks} }, { GGML_TYPE_IQ4_NL, { GGML_TYPE_IQ4_NL_R4, 4, (Repack::repack_func)repack_iq4_nl} }, { GGML_TYPE_IQ2_BN, { GGML_TYPE_IQ2_BN_R4, 4, (Repack::repack_func)repack_iq2_bn} }, + { GGML_TYPE_IQ2_XXS,{ GGML_TYPE_IQ2_XXS_R4,4, (Repack::repack_func)repack_iq2_xxs} }, + { GGML_TYPE_IQ2_XS, { GGML_TYPE_IQ2_XS_R4, 4, (Repack::repack_func)repack_iq2_xs} }, + { GGML_TYPE_IQ2_S, { GGML_TYPE_IQ2_S_R4, 4, (Repack::repack_func)repack_iq2_s} }, + { GGML_TYPE_IQ3_XXS,{ GGML_TYPE_IQ3_XXS_R4,4, (Repack::repack_func)repack_iq3_xxs} }, + { GGML_TYPE_IQ3_S, { GGML_TYPE_IQ3_S_R4, 4, (Repack::repack_func)repack_iq3_s} }, { GGML_TYPE_Q2_K, { GGML_TYPE_Q2_K_R4, 4, (Repack::repack_func)repack_q2_k} }, { GGML_TYPE_Q3_K, { GGML_TYPE_Q3_K_R4, 4, (Repack::repack_func)repack_q3_k} }, { GGML_TYPE_Q4_K, { GGML_TYPE_Q4_K_R4, 4, (Repack::repack_func)repack_q4_k} }, |