| 1 | // |
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| 2 | // Copyright (c) 2000-2002 |
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| 3 | // Joerg Walter, Mathias Koch |
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| 4 | // |
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| 5 | // Permission to use, copy, modify, distribute and sell this software |
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| 6 | // and its documentation for any purpose is hereby granted without fee, |
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| 7 | // provided that the above copyright notice appear in all copies and |
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| 8 | // that both that copyright notice and this permission notice appear |
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| 9 | // in supporting documentation. The authors make no representations |
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| 10 | // about the suitability of this software for any purpose. |
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| 11 | // It is provided "as is" without express or implied warranty. |
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| 12 | // |
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| 13 | // The authors gratefully acknowledge the support of |
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| 14 | // GeNeSys mbH & Co. KG in producing this work. |
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| 15 | // |
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| 16 | |
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| 17 | #ifndef BENCH2_H |
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| 18 | #define BENCH2_H |
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| 19 | |
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| 20 | #include <iostream> |
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| 21 | #include <string> |
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| 22 | #include <valarray> |
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| 23 | |
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| 24 | #include <boost/numeric/ublas/vector.hpp> |
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| 25 | #include <boost/numeric/ublas/vector_sparse.hpp> |
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| 26 | #include <boost/numeric/ublas/matrix.hpp> |
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| 27 | #include <boost/numeric/ublas/matrix_sparse.hpp> |
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| 28 | |
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| 29 | #include <boost/timer.hpp> |
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| 30 | |
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| 31 | namespace ublas = boost::numeric::ublas; |
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| 32 | |
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| 33 | void header (std::string text); |
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| 34 | |
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| 35 | template<class T> |
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| 36 | struct footer { |
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| 37 | void operator () (int multiplies, int plus, int runs, double elapsed) { |
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| 38 | std::cout << "elapsed: " << elapsed << " s, " |
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| 39 | << (multiplies * ublas::type_traits<T>::multiplies_complexity + |
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| 40 | plus * ublas::type_traits<T>::plus_complexity) * runs / |
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| 41 | (1024 * 1024 * elapsed) << " Mflops" << std::endl; |
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| 42 | } |
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| 43 | }; |
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| 44 | |
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| 45 | template<class T, int N> |
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| 46 | struct c_vector_traits { |
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| 47 | typedef T type [N]; |
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| 48 | }; |
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| 49 | template<class T, int N, int M> |
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| 50 | struct c_matrix_traits { |
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| 51 | typedef T type [N] [M]; |
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| 52 | }; |
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| 53 | |
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| 54 | template<class T, int N> |
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| 55 | struct initialize_c_vector { |
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| 56 | void operator () (typename c_vector_traits<T, N>::type &v) { |
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| 57 | for (int i = 0; i < N; ++ i) |
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| 58 | v [i] = std::rand () * 1.f; |
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| 59 | // v [i] = 0.f; |
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| 60 | } |
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| 61 | }; |
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| 62 | template<class V> |
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| 63 | BOOST_UBLAS_INLINE |
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| 64 | void initialize_vector (V &v) { |
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| 65 | int size = v.size (); |
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| 66 | for (int i = 0; i < size; ++ i) |
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| 67 | v [i] = std::rand () * 1.f; |
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| 68 | // v [i] = 0.f; |
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| 69 | } |
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| 70 | |
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| 71 | template<class T, int N, int M> |
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| 72 | struct initialize_c_matrix { |
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| 73 | void operator () (typename c_matrix_traits<T, N, M>::type &m) { |
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| 74 | for (int i = 0; i < N; ++ i) |
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| 75 | for (int j = 0; j < M; ++ j) |
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| 76 | m [i] [j] = std::rand () * 1.f; |
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| 77 | // m [i] [j] = 0.f; |
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| 78 | } |
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| 79 | }; |
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| 80 | template<class M> |
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| 81 | BOOST_UBLAS_INLINE |
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| 82 | void initialize_matrix (M &m, ublas::row_major_tag) { |
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| 83 | int size1 = m.size1 (); |
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| 84 | int size2 = m.size2 (); |
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| 85 | for (int i = 0; i < size1; ++ i) |
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| 86 | for (int j = 0; j < size2; ++ j) |
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| 87 | m (i, j) = std::rand () * 1.f; |
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| 88 | // m (i, j) = 0.f; |
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| 89 | } |
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| 90 | template<class M> |
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| 91 | BOOST_UBLAS_INLINE |
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| 92 | void initialize_matrix (M &m, ublas::column_major_tag) { |
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| 93 | int size1 = m.size1 (); |
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| 94 | int size2 = m.size2 (); |
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| 95 | for (int j = 0; j < size2; ++ j) |
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| 96 | for (int i = 0; i < size1; ++ i) |
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| 97 | m (i, j) = std::rand () * 1.f; |
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| 98 | // m (i, j) = 0.f; |
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| 99 | } |
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| 100 | template<class M> |
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| 101 | BOOST_UBLAS_INLINE |
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| 102 | void initialize_matrix (M &m) { |
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| 103 | typedef typename M::orientation_category orientation_category; |
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| 104 | initialize_matrix (m, orientation_category ()); |
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| 105 | } |
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| 106 | |
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| 107 | template<class T> |
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| 108 | BOOST_UBLAS_INLINE |
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| 109 | void sink_scalar (const T &s) { |
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| 110 | static T g_s = s; |
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| 111 | } |
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| 112 | |
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| 113 | template<class T, int N> |
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| 114 | struct sink_c_vector { |
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| 115 | void operator () (const typename c_vector_traits<T, N>::type &v) { |
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| 116 | static typename c_vector_traits<T, N>::type g_v; |
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| 117 | for (int i = 0; i < N; ++ i) |
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| 118 | g_v [i] = v [i]; |
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| 119 | } |
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| 120 | }; |
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| 121 | template<class V> |
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| 122 | BOOST_UBLAS_INLINE |
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| 123 | void sink_vector (const V &v) { |
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| 124 | static V g_v (v); |
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| 125 | } |
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| 126 | |
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| 127 | template<class T, int N, int M> |
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| 128 | struct sink_c_matrix { |
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| 129 | void operator () (const typename c_matrix_traits<T, N, M>::type &m) { |
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| 130 | static typename c_matrix_traits<T, N, M>::type g_m; |
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| 131 | for (int i = 0; i < N; ++ i) |
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| 132 | for (int j = 0; j < M; ++ j) |
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| 133 | g_m [i] [j] = m [i] [j]; |
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| 134 | } |
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| 135 | }; |
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| 136 | template<class M> |
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| 137 | BOOST_UBLAS_INLINE |
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| 138 | void sink_matrix (const M &m) { |
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| 139 | static M g_m (m); |
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| 140 | } |
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| 141 | |
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| 142 | template<class T> |
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| 143 | struct peak { |
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| 144 | void operator () (int runs); |
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| 145 | }; |
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| 146 | |
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| 147 | template<class T, int N> |
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| 148 | struct bench_1 { |
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| 149 | void operator () (int runs); |
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| 150 | }; |
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| 151 | |
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| 152 | template<class T, int N> |
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| 153 | struct bench_2 { |
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| 154 | void operator () (int runs); |
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| 155 | }; |
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| 156 | |
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| 157 | template<class T, int N> |
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| 158 | struct bench_3 { |
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| 159 | void operator () (int runs); |
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| 160 | }; |
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| 161 | |
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| 162 | struct safe_tag {}; |
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| 163 | struct fast_tag {}; |
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| 164 | |
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| 165 | // #define USE_FLOAT |
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| 166 | #define USE_DOUBLE |
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| 167 | // #define USE_STD_COMPLEX |
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| 168 | |
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| 169 | #define USE_MAP_ARRAY |
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| 170 | // #define USE_STD_MAP |
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| 171 | // #define USE_STD_VALARRAY |
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| 172 | |
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| 173 | #define USE_MAPPED_VECTOR |
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| 174 | #define USE_COMPRESSED_VECTOR |
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| 175 | #define USE_COORDINATE_VECTOR |
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| 176 | |
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| 177 | #define USE_MAPPED_MATRIX |
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| 178 | // #define USE_SPARSE_VECTOR_OF_SPARSE_VECTOR |
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| 179 | #define USE_COMPRESSED_MATRIX |
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| 180 | #define USE_COORDINATE_MATRIX |
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| 181 | |
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| 182 | #endif |
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