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/** |
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* HMLP (High-Performance Machine Learning Primitives) |
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* |
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* Copyright (C) 2014-2017, The University of Texas at Austin |
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* |
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* This program is free software: you can redistribute it and/or modify |
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* it under the terms of the GNU General Public License as published by |
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* the Free Software Foundation, either version 3 of the License, or |
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* (at your option) any later version. |
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* |
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* This program is distributed in the hope that it will be useful, |
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* but WITHOUT ANY WARRANTY; without even the implied warranty of |
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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* GNU General Public License for more details. |
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* |
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* You should have received a copy of the GNU General Public License |
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* along with this program. If not, see the LICENSE file. |
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* |
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**/ |
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/** GSKNN templates */ |
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#include <primitives/gsknn.hpp> |
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/** Haswell micro-kernels */ |
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#include <rank_k_d8x6.hpp> |
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//#include <rnn_r_int_d8x4_row.hpp> |
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using namespace hmlp; |
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void gsknn |
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( |
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int m, int n, int k, int r, |
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double *A, double *A2, int *amap, |
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double *B, double *B2, int *bmap, |
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double *D, int *I |
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) |
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{ |
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const bool USE_STRASSEN = false; |
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rank_k_asm_d8x6 semiringkernel; |
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//rnn_r_int_d8x4_row microkernel; |
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//gsknn< |
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// 104, 2048, 256, 8, 4, |
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// 104, 2048, 8, 4, 32, |
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// USE_STRASSEN, |
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// rank_k_asm_d8x4, |
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// rnn_r_int_d8x4_row, |
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// double, double, double, double> |
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//( |
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// m, n, k, r, |
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// A, A2, amap, |
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// B, B2, bmap, |
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// D, I, |
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// semiringkernel, microkernel |
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//); |
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printf( "not implemented yet\n" ); |
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exit( 1 ); |
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}; |
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void gsknn |
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( |
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int m, int n, int k, int r, |
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float *A, float *A2, int *amap, |
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float *B, float *B2, int *bmap, |
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float *D, int *I |
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) |
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{ |
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printf( "not implemented yet\n" ); |
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exit( 1 ); |
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}; |
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void dgsknn_ref |
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( |
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int m, int n, int k, int r, |
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double *A, double *A2, int *amap, |
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double *B, double *B2, int *bmap, |
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double *D, int *I |
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) |
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{ |
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gsknn::gsknn_ref<double> |
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( |
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m, n, k, r, |
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A, A2, amap, |
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B, B2, bmap, |
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D, I |
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); |
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} |