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https://github.com/ikawrakow/ik_llama.cpp.git
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sanitize imatrix: iq4_xs_r8
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@@ -5246,14 +5246,18 @@ static void repack_iq4_xs(int nrows, int n_per_row, const block_iq4_xs * x, bloc
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size_t quantize_iq4_xs_r8(const float * src, void * dst, int64_t nrows, int64_t n_per_row, const float * imatrix) {
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GGML_ASSERT(nrows%8 == 0);
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GGML_ASSERT(n_per_row%QK_K == 0);
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char * qcur = (char *)dst;
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auto row_size = ggml_row_size(GGML_TYPE_IQ4_XS, n_per_row);
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std::vector<char> qtmp(8*row_size);
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QHelper helper(imatrix, n_per_row, 32);
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auto q_func = [] (const float * x, void * vy, int n_per_row, const float * imatrix) {
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quantize_iq4_xs(x, (char *)vy, 1, n_per_row, imatrix);
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};
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char * qrow = (char *)dst;
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for (int row = 0; row < nrows; row += 8) {
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quantize_iq4_xs(src, (void *)qtmp.data(), 8, n_per_row, imatrix);
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repack_iq4_xs(8, n_per_row, (const block_iq4_xs *)qtmp.data(), (block_iq4_xs_r8 *)qcur, false);
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qcur += 8*row_size;
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src += 8*n_per_row;
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helper.quantize(8, src, qtmp.data(), row_size, q_func);
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repack_iq4_xs(8, n_per_row, (const block_iq4_xs *)qtmp.data(), (block_iq4_xs_r8 *)qrow, false);
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src += 8*n_per_row;
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qrow += 8*row_size;
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}
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return nrows*row_size;
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}
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