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author | Sebastián Barschkis <sebbas@sebbas.org> | 2019-12-16 17:40:15 +0300 |
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committer | Sebastián Barschkis <sebbas@sebbas.org> | 2019-12-16 18:27:26 +0300 |
commit | 4ff7c5eed6b546ae42692f3a869a5ccc095a9cb4 (patch) | |
tree | 03f8233788ae46e66672f711e3cf42d8d00d01cc /extern/mantaflow/preprocessed/conjugategrad.h | |
parent | 6a3f2b30d206df23120cd212132adea821b6c20e (diff) |
Mantaflow [Part 1]: Added preprocessed Mantaflow source files
Includes preprocessed Mantaflow source files for both OpenMP and TBB (if OpenMP is not present, TBB files will be used instead).
These files come directly from the Mantaflow repository. Future updates to the core fluid solver will take place by updating the files.
Reviewed By: sergey, mont29
Maniphest Tasks: T59995
Differential Revision: https://developer.blender.org/D3850
Diffstat (limited to 'extern/mantaflow/preprocessed/conjugategrad.h')
-rw-r--r-- | extern/mantaflow/preprocessed/conjugategrad.h | 479 |
1 files changed, 479 insertions, 0 deletions
diff --git a/extern/mantaflow/preprocessed/conjugategrad.h b/extern/mantaflow/preprocessed/conjugategrad.h new file mode 100644 index 00000000000..58ccff28179 --- /dev/null +++ b/extern/mantaflow/preprocessed/conjugategrad.h @@ -0,0 +1,479 @@ + + +// DO NOT EDIT ! +// This file is generated using the MantaFlow preprocessor (prep generate). + +/****************************************************************************** + * + * MantaFlow fluid solver framework + * Copyright 2011 Tobias Pfaff, Nils Thuerey + * + * This program is free software, distributed under the terms of the + * Apache License, Version 2.0 + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Conjugate gradient solver + * + ******************************************************************************/ + +#ifndef _CONJUGATEGRADIENT_H +#define _CONJUGATEGRADIENT_H + +#include "vectorbase.h" +#include "grid.h" +#include "kernel.h" +#include "multigrid.h" + +namespace Manta { + +static const bool CG_DEBUG = false; + +//! Basic CG interface +class GridCgInterface { + public: + enum PreconditionType { PC_None = 0, PC_ICP, PC_mICP, PC_MGP }; + + GridCgInterface() : mUseL2Norm(true){}; + virtual ~GridCgInterface(){}; + + // solving functions + virtual bool iterate() = 0; + virtual void solve(int maxIter) = 0; + + // precond + virtual void setICPreconditioner( + PreconditionType method, Grid<Real> *A0, Grid<Real> *Ai, Grid<Real> *Aj, Grid<Real> *Ak) = 0; + virtual void setMGPreconditioner(PreconditionType method, GridMg *MG) = 0; + + // access + virtual Real getSigma() const = 0; + virtual Real getIterations() const = 0; + virtual Real getResNorm() const = 0; + virtual void setAccuracy(Real set) = 0; + virtual Real getAccuracy() const = 0; + + //! force reinit upon next iterate() call, can be used for doing multiple solves + virtual void forceReinit() = 0; + + void setUseL2Norm(bool set) + { + mUseL2Norm = set; + } + + protected: + // use l2 norm of residualfor threshold? (otherwise uses max norm) + bool mUseL2Norm; +}; + +//! Run single iteration of the cg solver +/*! the template argument determines the type of matrix multiplication, + typically a ApplyMatrix kernel, another one is needed e.g. for the + mesh-based wave equation solver */ +template<class APPLYMAT> class GridCg : public GridCgInterface { + public: + //! constructor + GridCg(Grid<Real> &dst, + Grid<Real> &rhs, + Grid<Real> &residual, + Grid<Real> &search, + const FlagGrid &flags, + Grid<Real> &tmp, + Grid<Real> *A0, + Grid<Real> *pAi, + Grid<Real> *pAj, + Grid<Real> *pAk); + ~GridCg() + { + } + + void doInit(); + bool iterate(); + void solve(int maxIter); + //! init pointers, and copy values from "normal" matrix + void setICPreconditioner( + PreconditionType method, Grid<Real> *A0, Grid<Real> *Ai, Grid<Real> *Aj, Grid<Real> *Ak); + void setMGPreconditioner(PreconditionType method, GridMg *MG); + void forceReinit() + { + mInited = false; + } + + // Accessors + Real getSigma() const + { + return mSigma; + } + Real getIterations() const + { + return mIterations; + } + + Real getResNorm() const + { + return mResNorm; + } + + void setAccuracy(Real set) + { + mAccuracy = set; + } + Real getAccuracy() const + { + return mAccuracy; + } + + protected: + bool mInited; + int mIterations; + // grids + Grid<Real> &mDst; + Grid<Real> &mRhs; + Grid<Real> &mResidual; + Grid<Real> &mSearch; + const FlagGrid &mFlags; + Grid<Real> &mTmp; + + Grid<Real> *mpA0, *mpAi, *mpAj, *mpAk; + + PreconditionType mPcMethod; + //! preconditioning grids + Grid<Real> *mpPCA0, *mpPCAi, *mpPCAj, *mpPCAk; + GridMg *mMG; + + //! sigma / residual + Real mSigma; + //! accuracy of solver (max. residuum) + Real mAccuracy; + //! norm of the residual + Real mResNorm; +}; // GridCg + +//! Kernel: Apply symmetric stored Matrix + +struct ApplyMatrix : public KernelBase { + ApplyMatrix(const FlagGrid &flags, + Grid<Real> &dst, + const Grid<Real> &src, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak) + : KernelBase(&flags, 0), flags(flags), dst(dst), src(src), A0(A0), Ai(Ai), Aj(Aj), Ak(Ak) + { + runMessage(); + run(); + } + inline void op(IndexInt idx, + const FlagGrid &flags, + Grid<Real> &dst, + const Grid<Real> &src, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak) const + { + if (!flags.isFluid(idx)) { + dst[idx] = src[idx]; + return; + } + + dst[idx] = src[idx] * A0[idx] + src[idx - X] * Ai[idx - X] + src[idx + X] * Ai[idx] + + src[idx - Y] * Aj[idx - Y] + src[idx + Y] * Aj[idx] + src[idx - Z] * Ak[idx - Z] + + src[idx + Z] * Ak[idx]; + } + inline const FlagGrid &getArg0() + { + return flags; + } + typedef FlagGrid type0; + inline Grid<Real> &getArg1() + { + return dst; + } + typedef Grid<Real> type1; + inline const Grid<Real> &getArg2() + { + return src; + } + typedef Grid<Real> type2; + inline Grid<Real> &getArg3() + { + return A0; + } + typedef Grid<Real> type3; + inline Grid<Real> &getArg4() + { + return Ai; + } + typedef Grid<Real> type4; + inline Grid<Real> &getArg5() + { + return Aj; + } + typedef Grid<Real> type5; + inline Grid<Real> &getArg6() + { + return Ak; + } + typedef Grid<Real> type6; + void runMessage() + { + debMsg("Executing kernel ApplyMatrix ", 3); + debMsg("Kernel range" + << " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ", + 4); + }; + void operator()(const tbb::blocked_range<IndexInt> &__r) const + { + for (IndexInt idx = __r.begin(); idx != (IndexInt)__r.end(); idx++) + op(idx, flags, dst, src, A0, Ai, Aj, Ak); + } + void run() + { + tbb::parallel_for(tbb::blocked_range<IndexInt>(0, size), *this); + } + const FlagGrid &flags; + Grid<Real> &dst; + const Grid<Real> &src; + Grid<Real> &A0; + Grid<Real> &Ai; + Grid<Real> &Aj; + Grid<Real> &Ak; +}; + +//! Kernel: Apply symmetric stored Matrix. 2D version + +struct ApplyMatrix2D : public KernelBase { + ApplyMatrix2D(const FlagGrid &flags, + Grid<Real> &dst, + const Grid<Real> &src, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak) + : KernelBase(&flags, 0), flags(flags), dst(dst), src(src), A0(A0), Ai(Ai), Aj(Aj), Ak(Ak) + { + runMessage(); + run(); + } + inline void op(IndexInt idx, + const FlagGrid &flags, + Grid<Real> &dst, + const Grid<Real> &src, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak) const + { + unusedParameter(Ak); // only there for parameter compatibility with ApplyMatrix + + if (!flags.isFluid(idx)) { + dst[idx] = src[idx]; + return; + } + + dst[idx] = src[idx] * A0[idx] + src[idx - X] * Ai[idx - X] + src[idx + X] * Ai[idx] + + src[idx - Y] * Aj[idx - Y] + src[idx + Y] * Aj[idx]; + } + inline const FlagGrid &getArg0() + { + return flags; + } + typedef FlagGrid type0; + inline Grid<Real> &getArg1() + { + return dst; + } + typedef Grid<Real> type1; + inline const Grid<Real> &getArg2() + { + return src; + } + typedef Grid<Real> type2; + inline Grid<Real> &getArg3() + { + return A0; + } + typedef Grid<Real> type3; + inline Grid<Real> &getArg4() + { + return Ai; + } + typedef Grid<Real> type4; + inline Grid<Real> &getArg5() + { + return Aj; + } + typedef Grid<Real> type5; + inline Grid<Real> &getArg6() + { + return Ak; + } + typedef Grid<Real> type6; + void runMessage() + { + debMsg("Executing kernel ApplyMatrix2D ", 3); + debMsg("Kernel range" + << " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ", + 4); + }; + void operator()(const tbb::blocked_range<IndexInt> &__r) const + { + for (IndexInt idx = __r.begin(); idx != (IndexInt)__r.end(); idx++) + op(idx, flags, dst, src, A0, Ai, Aj, Ak); + } + void run() + { + tbb::parallel_for(tbb::blocked_range<IndexInt>(0, size), *this); + } + const FlagGrid &flags; + Grid<Real> &dst; + const Grid<Real> &src; + Grid<Real> &A0; + Grid<Real> &Ai; + Grid<Real> &Aj; + Grid<Real> &Ak; +}; + +//! Kernel: Construct the matrix for the poisson equation + +struct MakeLaplaceMatrix : public KernelBase { + MakeLaplaceMatrix(const FlagGrid &flags, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak, + const MACGrid *fractions = 0) + : KernelBase(&flags, 1), flags(flags), A0(A0), Ai(Ai), Aj(Aj), Ak(Ak), fractions(fractions) + { + runMessage(); + run(); + } + inline void op(int i, + int j, + int k, + const FlagGrid &flags, + Grid<Real> &A0, + Grid<Real> &Ai, + Grid<Real> &Aj, + Grid<Real> &Ak, + const MACGrid *fractions = 0) const + { + if (!flags.isFluid(i, j, k)) + return; + + if (!fractions) { + // diagonal, A0 + if (!flags.isObstacle(i - 1, j, k)) + A0(i, j, k) += 1.; + if (!flags.isObstacle(i + 1, j, k)) + A0(i, j, k) += 1.; + if (!flags.isObstacle(i, j - 1, k)) + A0(i, j, k) += 1.; + if (!flags.isObstacle(i, j + 1, k)) + A0(i, j, k) += 1.; + if (flags.is3D() && !flags.isObstacle(i, j, k - 1)) + A0(i, j, k) += 1.; + if (flags.is3D() && !flags.isObstacle(i, j, k + 1)) + A0(i, j, k) += 1.; + + // off-diagonal entries + if (flags.isFluid(i + 1, j, k)) + Ai(i, j, k) = -1.; + if (flags.isFluid(i, j + 1, k)) + Aj(i, j, k) = -1.; + if (flags.is3D() && flags.isFluid(i, j, k + 1)) + Ak(i, j, k) = -1.; + } + else { + // diagonal + A0(i, j, k) += fractions->get(i, j, k).x; + A0(i, j, k) += fractions->get(i + 1, j, k).x; + A0(i, j, k) += fractions->get(i, j, k).y; + A0(i, j, k) += fractions->get(i, j + 1, k).y; + if (flags.is3D()) + A0(i, j, k) += fractions->get(i, j, k).z; + if (flags.is3D()) + A0(i, j, k) += fractions->get(i, j, k + 1).z; + + // off-diagonal entries + if (flags.isFluid(i + 1, j, k)) + Ai(i, j, k) = -fractions->get(i + 1, j, k).x; + if (flags.isFluid(i, j + 1, k)) + Aj(i, j, k) = -fractions->get(i, j + 1, k).y; + if (flags.is3D() && flags.isFluid(i, j, k + 1)) + Ak(i, j, k) = -fractions->get(i, j, k + 1).z; + } + } + inline const FlagGrid &getArg0() + { + return flags; + } + typedef FlagGrid type0; + inline Grid<Real> &getArg1() + { + return A0; + } + typedef Grid<Real> type1; + inline Grid<Real> &getArg2() + { + return Ai; + } + typedef Grid<Real> type2; + inline Grid<Real> &getArg3() + { + return Aj; + } + typedef Grid<Real> type3; + inline Grid<Real> &getArg4() + { + return Ak; + } + typedef Grid<Real> type4; + inline const MACGrid *getArg5() + { + return fractions; + } + typedef MACGrid type5; + void runMessage() + { + debMsg("Executing kernel MakeLaplaceMatrix ", 3); + debMsg("Kernel range" + << " x " << maxX << " y " << maxY << " z " << minZ << " - " << maxZ << " ", + 4); + }; + void operator()(const tbb::blocked_range<IndexInt> &__r) const + { + const int _maxX = maxX; + const int _maxY = maxY; + if (maxZ > 1) { + for (int k = __r.begin(); k != (int)__r.end(); k++) + for (int j = 1; j < _maxY; j++) + for (int i = 1; i < _maxX; i++) + op(i, j, k, flags, A0, Ai, Aj, Ak, fractions); + } + else { + const int k = 0; + for (int j = __r.begin(); j != (int)__r.end(); j++) + for (int i = 1; i < _maxX; i++) + op(i, j, k, flags, A0, Ai, Aj, Ak, fractions); + } + } + void run() + { + if (maxZ > 1) + tbb::parallel_for(tbb::blocked_range<IndexInt>(minZ, maxZ), *this); + else + tbb::parallel_for(tbb::blocked_range<IndexInt>(1, maxY), *this); + } + const FlagGrid &flags; + Grid<Real> &A0; + Grid<Real> &Ai; + Grid<Real> &Aj; + Grid<Real> &Ak; + const MACGrid *fractions; +}; + +} // namespace Manta + +#endif |