73 lines
3.7 KiB
C++
73 lines
3.7 KiB
C++
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// This file is part of libigl, a simple c++ geometry processing library.
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//
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// Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla Public License
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// v. 2.0. If a copy of the MPL was not distributed with this file, You can
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// obtain one at http://mozilla.org/MPL/2.0/.
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#include "cumsum.h"
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#include <numeric>
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#include <iostream>
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template <typename DerivedX, typename DerivedY>
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IGL_INLINE void igl::cumsum(
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const Eigen::MatrixBase<DerivedX > & X,
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const int dim,
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Eigen::PlainObjectBase<DerivedY > & Y)
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{
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using namespace Eigen;
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using namespace std;
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Y.resizeLike(X);
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// get number of columns (or rows)
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int num_outer = (dim == 1 ? X.cols() : X.rows() );
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// get number of rows (or columns)
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int num_inner = (dim == 1 ? X.rows() : X.cols() );
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// This has been optimized so that dim = 1 or 2 is roughly the same cost.
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// (Optimizations assume ColMajor order)
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if(dim == 1)
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{
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#pragma omp parallel for
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for(int o = 0;o<num_outer;o++)
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{
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typename DerivedX::Scalar sum = 0;
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for(int i = 0;i<num_inner;i++)
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{
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sum += X(i,o);
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Y(i,o) = sum;
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}
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}
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}else
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{
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for(int i = 0;i<num_inner;i++)
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{
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// Notice that it is *not* OK to put this above the inner loop
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// Though here it doesn't seem to pay off...
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//#pragma omp parallel for
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for(int o = 0;o<num_outer;o++)
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{
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if(i == 0)
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{
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Y(o,i) = X(o,i);
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}else
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{
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Y(o,i) = Y(o,i-1) + X(o,i);
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}
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}
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}
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}
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}
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#ifdef IGL_STATIC_LIBRARY
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// Explicit template instantiation
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template void igl::cumsum<Eigen::Matrix<double, -1, -1, 0, -1, -1>, Eigen::Matrix<double, -1, -1, 0, -1, -1> >(Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 0, -1, -1> >&);
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template void igl::cumsum<Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, 1, 0, -1, 1> >(Eigen::MatrixBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1, 0, -1, 1> >&);
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template void igl::cumsum<Eigen::Matrix<double, 3, 1, 0, 3, 1>, Eigen::Matrix<double, 3, 1, 0, 3, 1> >(Eigen::MatrixBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<double, 3, 1, 0, 3, 1> >&);
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template void igl::cumsum<Eigen::Matrix<unsigned long, 2, 1, 0, 2, 1>, Eigen::Matrix<unsigned long, 2, 1, 0, 2, 1> >(Eigen::MatrixBase<Eigen::Matrix<unsigned long, 2, 1, 0, 2, 1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<unsigned long, 2, 1, 0, 2, 1> >&);
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template void igl::cumsum<Eigen::Matrix<unsigned long, -1, 1, 0, -1, 1>, Eigen::Matrix<unsigned long, -1, 1, 0, -1, 1> >(Eigen::MatrixBase<Eigen::Matrix<unsigned long, -1, 1, 0, -1, 1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<unsigned long, -1, 1, 0, -1, 1> >&);
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template void igl::cumsum<Eigen::Matrix<int, -1, 1, 0, -1, 1>, Eigen::Matrix<int, -1, 1, 0, -1, 1> >(Eigen::MatrixBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> > const&, int, Eigen::PlainObjectBase<Eigen::Matrix<int, -1, 1, 0, -1, 1> >&);
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#ifdef WIN32
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template void igl::cumsum<class Eigen::Matrix<unsigned __int64, -1, 1, 0, -1, 1>, class Eigen::Matrix<unsigned __int64, -1, 1, 0, -1, 1>>(class Eigen::MatrixBase<class Eigen::Matrix<unsigned __int64, -1, 1, 0, -1, 1>> const &, int, class Eigen::PlainObjectBase<class Eigen::Matrix<unsigned __int64, -1, 1, 0, -1, 1>> &);
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template void igl::cumsum<class Eigen::Matrix<unsigned __int64, 2, 1, 0, 2, 1>, class Eigen::Matrix<unsigned __int64, 2, 1, 0, 2, 1>>(class Eigen::MatrixBase<class Eigen::Matrix<unsigned __int64, 2, 1, 0, 2, 1>> const &, int, class Eigen::PlainObjectBase<class Eigen::Matrix<unsigned __int64, 2, 1, 0, 2, 1>> &);
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#endif
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#endif
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