1 | /*
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2 | Copyright (c) 2011, Intel Corporation. All rights reserved.
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3 |
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4 | Redistribution and use in source and binary forms, with or without modification,
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5 | are permitted provided that the following conditions are met:
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6 |
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7 | * Redistributions of source code must retain the above copyright notice, this
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8 | list of conditions and the following disclaimer.
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9 | * Redistributions in binary form must reproduce the above copyright notice,
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10 | this list of conditions and the following disclaimer in the documentation
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11 | and/or other materials provided with the distribution.
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12 | * Neither the name of Intel Corporation nor the names of its contributors may
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13 | be used to endorse or promote products derived from this software without
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14 | specific prior written permission.
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15 |
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16 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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17 | ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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18 | WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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19 | DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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20 | ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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21 | (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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22 | LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
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23 | ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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24 | (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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25 | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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26 |
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27 | ********************************************************************************
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28 | * Content : Eigen bindings to Intel(R) MKL
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29 | * General matrix-vector product functionality based on ?GEMV.
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30 | ********************************************************************************
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31 | */
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32 |
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33 | #ifndef EIGEN_GENERAL_MATRIX_VECTOR_MKL_H
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34 | #define EIGEN_GENERAL_MATRIX_VECTOR_MKL_H
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35 |
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36 | namespace Eigen {
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37 |
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38 | namespace internal {
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39 |
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40 | /**********************************************************************
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41 | * This file implements general matrix-vector multiplication using BLAS
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42 | * gemv function via partial specialization of
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43 | * general_matrix_vector_product::run(..) method for float, double,
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44 | * std::complex<float> and std::complex<double> types
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45 | **********************************************************************/
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46 |
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47 | // gemv specialization
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48 |
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49 | template<typename Index, typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs, typename RhsScalar, bool ConjugateRhs>
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50 | struct general_matrix_vector_product_gemv :
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51 | general_matrix_vector_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,ConjugateRhs,BuiltIn> {};
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52 |
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53 | #define EIGEN_MKL_GEMV_SPECIALIZE(Scalar) \
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54 | template<typename Index, bool ConjugateLhs, bool ConjugateRhs> \
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55 | struct general_matrix_vector_product<Index,Scalar,ColMajor,ConjugateLhs,Scalar,ConjugateRhs,Specialized> { \
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56 | static void run( \
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57 | Index rows, Index cols, \
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58 | const Scalar* lhs, Index lhsStride, \
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59 | const Scalar* rhs, Index rhsIncr, \
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60 | Scalar* res, Index resIncr, Scalar alpha) \
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61 | { \
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62 | if (ConjugateLhs) { \
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63 | general_matrix_vector_product<Index,Scalar,ColMajor,ConjugateLhs,Scalar,ConjugateRhs,BuiltIn>::run( \
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64 | rows, cols, lhs, lhsStride, rhs, rhsIncr, res, resIncr, alpha); \
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65 | } else { \
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66 | general_matrix_vector_product_gemv<Index,Scalar,ColMajor,ConjugateLhs,Scalar,ConjugateRhs>::run( \
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67 | rows, cols, lhs, lhsStride, rhs, rhsIncr, res, resIncr, alpha); \
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68 | } \
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69 | } \
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70 | }; \
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71 | template<typename Index, bool ConjugateLhs, bool ConjugateRhs> \
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72 | struct general_matrix_vector_product<Index,Scalar,RowMajor,ConjugateLhs,Scalar,ConjugateRhs,Specialized> { \
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73 | static void run( \
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74 | Index rows, Index cols, \
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75 | const Scalar* lhs, Index lhsStride, \
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76 | const Scalar* rhs, Index rhsIncr, \
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77 | Scalar* res, Index resIncr, Scalar alpha) \
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78 | { \
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79 | general_matrix_vector_product_gemv<Index,Scalar,RowMajor,ConjugateLhs,Scalar,ConjugateRhs>::run( \
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80 | rows, cols, lhs, lhsStride, rhs, rhsIncr, res, resIncr, alpha); \
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81 | } \
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82 | }; \
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83 |
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84 | EIGEN_MKL_GEMV_SPECIALIZE(double)
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85 | EIGEN_MKL_GEMV_SPECIALIZE(float)
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86 | EIGEN_MKL_GEMV_SPECIALIZE(dcomplex)
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87 | EIGEN_MKL_GEMV_SPECIALIZE(scomplex)
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88 |
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89 | #define EIGEN_MKL_GEMV_SPECIALIZATION(EIGTYPE,MKLTYPE,MKLPREFIX) \
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90 | template<typename Index, int LhsStorageOrder, bool ConjugateLhs, bool ConjugateRhs> \
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91 | struct general_matrix_vector_product_gemv<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,ConjugateRhs> \
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92 | { \
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93 | typedef Matrix<EIGTYPE,Dynamic,1,ColMajor> GEMVVector;\
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94 | \
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95 | static void run( \
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96 | Index rows, Index cols, \
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97 | const EIGTYPE* lhs, Index lhsStride, \
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98 | const EIGTYPE* rhs, Index rhsIncr, \
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99 | EIGTYPE* res, Index resIncr, EIGTYPE alpha) \
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100 | { \
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101 | MKL_INT m=rows, n=cols, lda=lhsStride, incx=rhsIncr, incy=resIncr; \
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102 | MKLTYPE alpha_, beta_; \
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103 | const EIGTYPE *x_ptr, myone(1); \
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104 | char trans=(LhsStorageOrder==ColMajor) ? 'N' : (ConjugateLhs) ? 'C' : 'T'; \
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105 | if (LhsStorageOrder==RowMajor) { \
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106 | m=cols; \
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107 | n=rows; \
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108 | }\
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109 | assign_scalar_eig2mkl(alpha_, alpha); \
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110 | assign_scalar_eig2mkl(beta_, myone); \
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111 | GEMVVector x_tmp; \
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112 | if (ConjugateRhs) { \
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113 | Map<const GEMVVector, 0, InnerStride<> > map_x(rhs,cols,1,InnerStride<>(incx)); \
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114 | x_tmp=map_x.conjugate(); \
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115 | x_ptr=x_tmp.data(); \
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116 | incx=1; \
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117 | } else x_ptr=rhs; \
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118 | MKLPREFIX##gemv(&trans, &m, &n, &alpha_, (const MKLTYPE*)lhs, &lda, (const MKLTYPE*)x_ptr, &incx, &beta_, (MKLTYPE*)res, &incy); \
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119 | }\
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120 | };
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121 |
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122 | EIGEN_MKL_GEMV_SPECIALIZATION(double, double, d)
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123 | EIGEN_MKL_GEMV_SPECIALIZATION(float, float, s)
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124 | EIGEN_MKL_GEMV_SPECIALIZATION(dcomplex, MKL_Complex16, z)
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125 | EIGEN_MKL_GEMV_SPECIALIZATION(scomplex, MKL_Complex8, c)
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126 |
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127 | } // end namespase internal
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128 |
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129 | } // end namespace Eigen
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130 |
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131 | #endif // EIGEN_GENERAL_MATRIX_VECTOR_MKL_H
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