From 44861dcbfeee041223c4aac1ee075e92fa4daa01 Mon Sep 17 00:00:00 2001
From: Stanislaw Halik <sthalik@misaki.pl>
Date: Sun, 18 Sep 2016 12:42:15 +0200
Subject: update

---
 eigen/bench/btl/libs/eigen3/eigen3_interface.hh | 240 ++++++++++++++++++++++++
 1 file changed, 240 insertions(+)
 create mode 100644 eigen/bench/btl/libs/eigen3/eigen3_interface.hh

(limited to 'eigen/bench/btl/libs/eigen3/eigen3_interface.hh')

diff --git a/eigen/bench/btl/libs/eigen3/eigen3_interface.hh b/eigen/bench/btl/libs/eigen3/eigen3_interface.hh
new file mode 100644
index 0000000..31bcc1f
--- /dev/null
+++ b/eigen/bench/btl/libs/eigen3/eigen3_interface.hh
@@ -0,0 +1,240 @@
+//=====================================================
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//=====================================================
+//
+// This program is free software; you can redistribute it and/or
+// modify it under the terms of the GNU General Public License
+// as published by the Free Software Foundation; either version 2
+// of the License, or (at your option) any later version.
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+// You should have received a copy of the GNU General Public License
+// along with this program; if not, write to the Free Software
+// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
+//
+#ifndef EIGEN3_INTERFACE_HH
+#define EIGEN3_INTERFACE_HH
+
+#include <Eigen/Eigen>
+#include <vector>
+#include "btl.hh"
+
+using namespace Eigen;
+
+template<class real, int SIZE=Dynamic>
+class eigen3_interface
+{
+
+public :
+
+  enum {IsFixedSize = (SIZE!=Dynamic)};
+
+  typedef real real_type;
+
+  typedef std::vector<real> stl_vector;
+  typedef std::vector<stl_vector> stl_matrix;
+
+  typedef Eigen::Matrix<real,SIZE,SIZE> gene_matrix;
+  typedef Eigen::Matrix<real,SIZE,1> gene_vector;
+
+  static inline std::string name( void )
+  {
+    return EIGEN_MAKESTRING(BTL_PREFIX);
+  }
+
+  static void free_matrix(gene_matrix & A, int N) {}
+
+  static void free_vector(gene_vector & B) {}
+
+  static BTL_DONT_INLINE void matrix_from_stl(gene_matrix & A, stl_matrix & A_stl){
+    A.resize(A_stl[0].size(), A_stl.size());
+
+    for (int j=0; j<A_stl.size() ; j++){
+      for (int i=0; i<A_stl[j].size() ; i++){
+        A.coeffRef(i,j) = A_stl[j][i];
+      }
+    }
+  }
+
+  static BTL_DONT_INLINE  void vector_from_stl(gene_vector & B, stl_vector & B_stl){
+    B.resize(B_stl.size(),1);
+
+    for (int i=0; i<B_stl.size() ; i++){
+      B.coeffRef(i) = B_stl[i];
+    }
+  }
+
+  static BTL_DONT_INLINE  void vector_to_stl(gene_vector & B, stl_vector & B_stl){
+    for (int i=0; i<B_stl.size() ; i++){
+      B_stl[i] = B.coeff(i);
+    }
+  }
+
+  static BTL_DONT_INLINE  void matrix_to_stl(gene_matrix & A, stl_matrix & A_stl){
+    int N=A_stl.size();
+
+    for (int j=0;j<N;j++){
+      A_stl[j].resize(N);
+      for (int i=0;i<N;i++){
+        A_stl[j][i] = A.coeff(i,j);
+      }
+    }
+  }
+
+  static inline void matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
+    X.noalias() = A*B;
+  }
+
+  static inline void transposed_matrix_matrix_product(const gene_matrix & A, const gene_matrix & B, gene_matrix & X, int N){
+    X.noalias() = A.transpose()*B.transpose();
+  }
+
+//   static inline void ata_product(const gene_matrix & A, gene_matrix & X, int N){
+//     X.noalias() = A.transpose()*A;
+//   }
+
+  static inline void aat_product(const gene_matrix & A, gene_matrix & X, int N){
+    X.template triangularView<Lower>().setZero();
+    X.template selfadjointView<Lower>().rankUpdate(A);
+  }
+
+  static inline void matrix_vector_product(const gene_matrix & A, const gene_vector & B, gene_vector & X, int N){
+    X.noalias() = A*B;
+  }
+
+  static inline void symv(const gene_matrix & A, const gene_vector & B, gene_vector & X, int N){
+    X.noalias() = (A.template selfadjointView<Lower>() * B);
+//     internal::product_selfadjoint_vector<real,0,LowerTriangularBit,false,false>(N,A.data(),N, B.data(), 1, X.data(), 1);
+  }
+
+  template<typename Dest, typename Src> static void triassign(Dest& dst, const Src& src)
+  {
+    typedef typename Dest::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type Packet;
+    const int PacketSize = sizeof(Packet)/sizeof(Scalar);
+    int size = dst.cols();
+    for(int j=0; j<size; j+=1)
+    {
+//       const int alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
+      Scalar* A0 = dst.data() + j*dst.stride();
+      int starti = j;
+      int alignedEnd = starti;
+      int alignedStart = (starti) + internal::first_aligned(&A0[starti], size-starti);
+      alignedEnd = alignedStart + ((size-alignedStart)/(2*PacketSize))*(PacketSize*2);
+
+      // do the non-vectorizable part of the assignment
+      for (int index = starti; index<alignedStart ; ++index)
+      {
+        if(Dest::Flags&RowMajorBit)
+          dst.copyCoeff(j, index, src);
+        else
+          dst.copyCoeff(index, j, src);
+      }
+
+      // do the vectorizable part of the assignment
+      for (int index = alignedStart; index<alignedEnd; index+=PacketSize)
+      {
+        if(Dest::Flags&RowMajorBit)
+          dst.template copyPacket<Src, Aligned, Unaligned>(j, index, src);
+        else
+          dst.template copyPacket<Src, Aligned, Unaligned>(index, j, src);
+      }
+
+      // do the non-vectorizable part of the assignment
+      for (int index = alignedEnd; index<size; ++index)
+      {
+        if(Dest::Flags&RowMajorBit)
+          dst.copyCoeff(j, index, src);
+        else
+          dst.copyCoeff(index, j, src);
+      }
+      //dst.col(j).tail(N-j) = src.col(j).tail(N-j);
+    }
+  }
+
+  static EIGEN_DONT_INLINE void syr2(gene_matrix & A,  gene_vector & X, gene_vector & Y, int N){
+    // internal::product_selfadjoint_rank2_update<real,0,LowerTriangularBit>(N,A.data(),N, X.data(), 1, Y.data(), 1, -1);
+    for(int j=0; j<N; ++j)
+      A.col(j).tail(N-j) += X[j] * Y.tail(N-j) + Y[j] * X.tail(N-j);
+  }
+
+  static EIGEN_DONT_INLINE void ger(gene_matrix & A,  gene_vector & X, gene_vector & Y, int N){
+    for(int j=0; j<N; ++j)
+      A.col(j) += X * Y[j];
+  }
+
+  static EIGEN_DONT_INLINE void rot(gene_vector & A,  gene_vector & B, real c, real s, int N){
+    internal::apply_rotation_in_the_plane(A, B, JacobiRotation<real>(c,s));
+  }
+
+  static inline void atv_product(gene_matrix & A, gene_vector & B, gene_vector & X, int N){
+    X.noalias() = (A.transpose()*B);
+  }
+
+  static inline void axpy(real coef, const gene_vector & X, gene_vector & Y, int N){
+    Y += coef * X;
+  }
+
+  static inline void axpby(real a, const gene_vector & X, real b, gene_vector & Y, int N){
+    Y = a*X + b*Y;
+  }
+
+  static EIGEN_DONT_INLINE void copy_matrix(const gene_matrix & source, gene_matrix & cible, int N){
+    cible = source;
+  }
+
+  static EIGEN_DONT_INLINE void copy_vector(const gene_vector & source, gene_vector & cible, int N){
+    cible = source;
+  }
+
+  static inline void trisolve_lower(const gene_matrix & L, const gene_vector& B, gene_vector& X, int N){
+    X = L.template triangularView<Lower>().solve(B);
+  }
+
+  static inline void trisolve_lower_matrix(const gene_matrix & L, const gene_matrix& B, gene_matrix& X, int N){
+    X = L.template triangularView<Upper>().solve(B);
+  }
+
+  static inline void trmm(const gene_matrix & L, const gene_matrix& B, gene_matrix& X, int N){
+    X.noalias() = L.template triangularView<Lower>() * B;
+  }
+
+  static inline void cholesky(const gene_matrix & X, gene_matrix & C, int N){
+    C = X;
+    internal::llt_inplace<real,Lower>::blocked(C);
+    //C = X.llt().matrixL();
+//     C = X;
+//     Cholesky<gene_matrix>::computeInPlace(C);
+//     Cholesky<gene_matrix>::computeInPlaceBlock(C);
+  }
+
+  static inline void lu_decomp(const gene_matrix & X, gene_matrix & C, int N){
+    C = X.fullPivLu().matrixLU();
+  }
+
+  static inline void partial_lu_decomp(const gene_matrix & X, gene_matrix & C, int N){
+    Matrix<DenseIndex,1,Dynamic> piv(N);
+    DenseIndex nb;
+    C = X;
+    internal::partial_lu_inplace(C,piv,nb);
+//     C = X.partialPivLu().matrixLU();
+  }
+
+  static inline void tridiagonalization(const gene_matrix & X, gene_matrix & C, int N){
+    typename Tridiagonalization<gene_matrix>::CoeffVectorType aux(N-1);
+    C = X;
+    internal::tridiagonalization_inplace(C, aux);
+  }
+
+  static inline void hessenberg(const gene_matrix & X, gene_matrix & C, int N){
+    C = HessenbergDecomposition<gene_matrix>(X).packedMatrix();
+  }
+
+
+
+};
+
+#endif
-- 
cgit v1.2.3