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https://github.com/ikawrakow/ik_llama.cpp.git
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Fix q8_0 repacking issues on AVX2 (#708)
Q8_0 needs Q0_0_X4, but Q8_0_R8 needs Q8_2_X4. So, if we decide to repack a Q8_0 MoE tensor to Q8_0_R8, iqk_moe_fused_mul_unary fails because the activations were prepared as Q0_0_X4, but we now need Q8_2_X4. For now a simple fix: just take the slow path, do not repack. Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -737,46 +737,45 @@ extern "C" IQK_API bool iqk_moe_fused_up_gate(long Nx, long Ny, long ne00, int n
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auto etypeA = ggml_type(typeA);
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if (auto dequant_type = MulMat::is_dequant_better(etypeA, Ny); dequant_type != etypeA) {
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if (!MulMat::prepare(dequant_type, typeB, ne00, mm, Ny)) {
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return false;
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}
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if (MulMat::prepare(dequant_type, typeB, ne00, mm, Ny)) {
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constexpr int k_x_step = 64;
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constexpr int k_x_step = 64;
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auto num_rows = MulMat::num_rows(ggml_type(dequant_type));
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GGML_ASSERT(Nx%num_rows == 0);
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auto nrc_x = (Nx/num_rows + nth - 1)/nth;
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auto first_x = ith*nrc_x;
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if (first_x + nrc_x > Nx/num_rows) nrc_x = Nx/num_rows - first_x;
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first_x *= num_rows;
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nrc_x *= num_rows;
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auto num_rows = MulMat::num_rows(ggml_type(dequant_type));
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GGML_ASSERT(Nx%num_rows == 0);
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auto nrc_x = (Nx/num_rows + nth - 1)/nth;
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auto first_x = ith*nrc_x;
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if (first_x + nrc_x > Nx/num_rows) nrc_x = Nx/num_rows - first_x;
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first_x *= num_rows;
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nrc_x *= num_rows;
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size_t row_size_qx = ggml_row_size(dequant_type, ne00);
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size_t row_size_qy = strideB;
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size_t row_size_qx = ggml_row_size(dequant_type, ne00);
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size_t row_size_qy = strideB;
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DataInfo info{C + first_x, (const char *)B, nb1/sizeof(float), row_size_qy, 0, ne11, row_mapping, nb2/sizeof(float)};
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DataInfo info{C + first_x, (const char *)B, nb1/sizeof(float), row_size_qy, 0, ne11, row_mapping, nb2/sizeof(float)};
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auto& f = thread_local_work_buffer();
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auto& f = thread_local_work_buffer();
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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auto this_info = info;
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this_info.s += ix;
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int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
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if (f.size() < 2*row_size_qx*this_nrc_x) f.resize(2*row_size_qx*this_nrc_x);
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auto Xu = f.data();
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auto Xg = f.data() + row_size_qx*this_nrc_x;
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if (!iqk_convert_repack(typeA, ne00, (const char *)Aup + (first_x + ix)*strideA, strideA, Xu, ne00, this_nrc_x)) {
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GGML_ABORT("Fatal error");
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for (int ix = 0; ix < nrc_x; ix += k_x_step) {
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auto this_info = info;
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this_info.s += ix;
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int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
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if (f.size() < 2*row_size_qx*this_nrc_x) f.resize(2*row_size_qx*this_nrc_x);
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auto Xu = f.data();
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auto Xg = f.data() + row_size_qx*this_nrc_x;
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if (!iqk_convert_repack(typeA, ne00, (const char *)Aup + (first_x + ix)*strideA, strideA, Xu, ne00, this_nrc_x)) {
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GGML_ABORT("Fatal error");
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}
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if (!iqk_convert_repack(typeA, ne00, (const char *)Agate + (first_x + ix)*strideA, strideA, Xg, ne00, this_nrc_x)) {
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GGML_ABORT("Fatal error");
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}
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auto up_b = up_b_c ? (const float *)up_b_c + first_x + ix : nullptr;
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auto gate_b = gate_b_c ? (const float *)gate_b_c + first_x + ix : nullptr;
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mm.mul_mat_up_gate_NxM(ne00, Xu, Xg, row_size_qx, up_b, gate_b, this_info, this_nrc_x, Ny, unary_op);
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}
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if (!iqk_convert_repack(typeA, ne00, (const char *)Agate + (first_x + ix)*strideA, strideA, Xg, ne00, this_nrc_x)) {
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GGML_ABORT("Fatal error");
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}
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auto up_b = up_b_c ? (const float *)up_b_c + first_x + ix : nullptr;
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auto gate_b = gate_b_c ? (const float *)gate_b_c + first_x + ix : nullptr;
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mm.mul_mat_up_gate_NxM(ne00, Xu, Xg, row_size_qx, up_b, gate_b, this_info, this_nrc_x, Ny, unary_op);
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}
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return true;
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return true;
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}
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}
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