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https://github.com/SoftFever/OrcaSlicer.git
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2ae2672ee9
Fixing dep build script on Windows and removing some warnings. Use bundled igl by default. Not building with the dependency scripts if not explicitly stated. This way, it will stay in Fix the libigl patch to include C source files in header only mode.
72 lines
3.7 KiB
C++
72 lines
3.7 KiB
C++
// 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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