diff options
Diffstat (limited to 'ggml/src/iqk/iqk_quantize.cpp')
-rw-r--r-- | ggml/src/iqk/iqk_quantize.cpp | 97 |
1 files changed, 97 insertions, 0 deletions
diff --git a/ggml/src/iqk/iqk_quantize.cpp b/ggml/src/iqk/iqk_quantize.cpp index eafb2887..f2e6a45e 100644 --- a/ggml/src/iqk/iqk_quantize.cpp +++ b/ggml/src/iqk/iqk_quantize.cpp @@ -3475,3 +3475,100 @@ void vec_dot_q5_0_r4_q8_0(int n, float * s, size_t bs, const void * vx, size_t b GGML_UNUSED(bx); GGML_UNUSED(by); } + +// +// ========================================= q6_0_r4 +// +void quantize_row_q6_0_r4_ref(const float * x, block_q6_0_r4 * y, int64_t k) { + // we assume we are called with 4 rows + quantize_q6_0_r4(x, (void *)y, 4, k/4, nullptr); +} + +void quantize_row_q6_0_r4(const float * x, void * y, int64_t k) { + // we assume we are called with 4 rows + quantize_q6_0_r4(x, y, 4, k/4, nullptr); +} + +static inline void convert_q6_0(const block_q6_0& x, uint8_t * L) { + + for (int j = 0; j < QK6_0/2; ++j) { + const uint8_t h = x.qh[j%(QK6_0/4)] >> 4*(j/(QK6_0/4)); + L[j ] = (x.qs[j] & 0x0F) | ((h << 4) & 0x30); + L[j + QK6_0/2] = (x.qs[j] >> 4) | ((h << 2) & 0x30); + } +} + +static void repack_q6_0(int nrows, int n_per_row, const block_q6_0 * x, block_q6_0_r4 * y) { + GGML_ASSERT(nrows%4 == 0); + GGML_ASSERT(n_per_row%QK5_0 == 0); + int nblock = n_per_row/QK6_0; + const block_q6_0 * x4[4]; + uint8_t L[QK6_0]; + for (int row = 0; row < nrows; row += 4) { + for (int k = 0; k < 4; ++k) x4[k] = x + nblock*k; + for (int ib = 0; ib < nblock; ++ib) { + std::memset(y[ib].qh, 0, QK6_0); + for (int k = 0; k < 4; ++k) { + y[ib].d[k] = x4[k][ib].d; + convert_q6_0(x4[k][ib], L); + for (int l = 0; l < 4; ++l) { + int l1 = 4*(l/2) + 16*(l%2), l2 = l1 + 8; + for (int i = 0; i < 4; ++i) { + y[ib].qs[4*k+i+16*l] = (L[i + l1] & 0xf) | ((L[i + l2] & 0xf) << 4); + y[ib].qh[4*k+i+16*(l%2)] |= ((L[i + l1] >> 4) | ((L[i + l2] >> 4) << 4)) << 2*(l/2); + } + } + } + } + x += 4*nblock; + y += nblock; + } +} + +size_t quantize_q6_0_r4(const float * src, void * dst, int64_t nrows, int64_t n_per_row, const float * imatrix) { + GGML_ASSERT(nrows%4 == 0); + auto row_size_0 = ggml_row_size(GGML_TYPE_Q6_0, n_per_row); + std::vector<char> qtmp(4*row_size_0); + char * qrow = (char *)dst; + for (int row = 0; row < nrows; row += 4) { + quantize_q6_0(src, qtmp.data(), 4, n_per_row, imatrix); + repack_q6_0(4, n_per_row, (const block_q6_0 *)qtmp.data(), (block_q6_0_r4 *)qrow); + src += 4*n_per_row; + qrow += 4*row_size_0; + } + return nrows*row_size_0; +} + +void dequantize_row_q6_0_r4(const block_q6_0_r4 * x, float * y, int64_t k) { + // we assume we are called with 4 rows + int n_per_row = k/4; + int nb = n_per_row/QK6_0; + float * yk[4]; + for (int k = 0; k < 4; ++k) yk[k] = y + k*n_per_row; + for (int ib = 0; ib < nb; ++ib) { + for (int k = 0; k < 4; ++k) { + float d = GGML_FP16_TO_FP32(x[ib].d[k]); + float m = -32*d; + for (int l = 0; l < 4; ++l) { + int ll = 16*(l%2) + 4*(l/2); + for (int i = 0; i < 4; ++i) { + yk[k][QK4_0*ib+i+ll+0] = d * ((x[ib].qs[4*k+i+16*l] & 0xf) | (((x[ib].qh[4*k+i+16*(l%2)] >> (2*(l/2)+0)) & 3) << 4)) + m; + yk[k][QK4_0*ib+i+ll+8] = d * ((x[ib].qs[4*k+i+16*l] >> 4) | (((x[ib].qh[4*k+i+16*(l%2)] >> (2*(l/2)+4)) & 3) << 4)) + m; + } + } + } + } +} + +void vec_dot_q6_0_r4_q8_0(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_Q6_0_R4, vx, 0, GGML_TYPE_Q8_0, 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); +} |