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MueLu_MatlabSmoother_def.hpp
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1// @HEADER
2// *****************************************************************************
3// MueLu: A package for multigrid based preconditioning
4//
5// Copyright 2012 NTESS and the MueLu contributors.
6// SPDX-License-Identifier: BSD-3-Clause
7// *****************************************************************************
8// @HEADER
9#ifndef MUELU_MATLABSMOOTHER_DEF_HPP
10#define MUELU_MATLABSMOOTHER_DEF_HPP
13
14#if defined(HAVE_MUELU_MATLAB)
15#include "MueLu_Monitor.hpp"
16
17namespace MueLu {
18
19template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
21 SetParameterList(paramList);
22}
23
24template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
27 ParameterList& pL = const_cast<ParameterList&>(this->GetParameterList());
28 setupFunction_ = pL.get("Setup Function", "");
29 solveFunction_ = pL.get("Solve Function", "");
30 solveDataSize_ = pL.get("Number of Solver Args", 0);
31}
32
33template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
35 using namespace std;
36 this->Input(currentLevel, "A");
37 ParameterList& pL = const_cast<ParameterList&>(this->GetParameterList());
38 needsSetup_ = pL.get<string>("Needs");
39 vector<string> needsList = tokenizeList(needsSetup_);
40 for (size_t i = 0; i < needsList.size(); i++) {
41 if (!IsParamMuemexVariable(needsList[i]) && needsList[i] != "Level")
42 this->Input(currentLevel, needsList[i]);
43 }
44}
45
46template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
48 using namespace std;
49 FactoryMonitor m(*this, "Setup Smoother", currentLevel);
50 if (this->IsSetup() == true)
51 this->GetOStream(Warnings0) << "MueLu::MatlabSmoother::Setup(): Setup() has already been called";
52 vector<RCP<MuemexArg>> InputArgs = processNeeds<Scalar, LocalOrdinal, GlobalOrdinal, Node>(this, needsSetup_, currentLevel);
53 A_ = Factory::Get<RCP<Matrix>>(currentLevel, "A");
54 RCP<MuemexArg> AmatArg = rcp_implicit_cast<MuemexArg>(rcp(new MuemexData<RCP<Matrix>>(A_)));
55 // Always add A to the beginning of InputArgs
56 InputArgs.insert(InputArgs.begin(), AmatArg);
57 // Call mex function
58 if (!setupFunction_.length())
59 throw runtime_error("Invalid matlab function name");
60 solveData_ = callMatlab(setupFunction_, solveDataSize_, InputArgs);
61 this->GetOStream(Statistics1) << description() << endl;
62 this->IsSetup(true); // mark the smoother as set up
63}
64
65template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
66void MatlabSmoother<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Apply(MultiVector& X, const MultiVector& B, bool InitialGuessIsZero) const {
67 TEUCHOS_TEST_FOR_EXCEPTION(SmootherPrototype::IsSetup() == false, Exceptions::RuntimeError,
68 "MueLu::MatlabSmoother::Apply(): Setup() has not been called");
69 using namespace Teuchos;
70 using namespace std;
71 if (InitialGuessIsZero)
72 X.putScalar(0.0);
73 // Push on A as first input
74 vector<RCP<MuemexArg>> InputArgs;
75 InputArgs.push_back(rcp(new MuemexData<RCP<Matrix>>(A_)));
76 // Push on LHS & RHS
77 RCP<MultiVector> Xrcp(&X, false);
78 MultiVector* BPtrNonConst = (MultiVector*)&B;
79 RCP<MultiVector> Brcp = rcp<MultiVector>(BPtrNonConst, false);
80 RCP<MuemexData<RCP<MultiVector>>> XData = rcp(new MuemexData<RCP<MultiVector>>(Xrcp));
81 RCP<MuemexData<RCP<MultiVector>>> BData = rcp(new MuemexData<RCP<MultiVector>>(Brcp));
82 InputArgs.push_back(XData);
83 InputArgs.push_back(BData);
84 for (size_t i = 0; i < solveData_.size(); i++)
85 InputArgs.push_back(solveData_[i]);
86 if (!solveFunction_.length()) throw std::runtime_error("Invalid matlab function name");
87 vector<Teuchos::RCP<MuemexArg>> mexOutput = callMatlab(solveFunction_, 1, InputArgs);
88 RCP<MuemexData<RCP<MultiVector>>> mydata = Teuchos::rcp_static_cast<MuemexData<RCP<MultiVector>>>(mexOutput[0]);
89 X = *(mydata->getData());
90}
91
92template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
93RCP<MueLu::SmootherPrototype<Scalar, LocalOrdinal, GlobalOrdinal, Node>> MatlabSmoother<Scalar, LocalOrdinal, GlobalOrdinal, Node>::Copy() const {
94 RCP<MatlabSmoother> smoother = rcp(new MatlabSmoother(*this));
95 smoother->SetParameterList(this->GetParameterList());
96 return smoother;
97}
98
99template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
101 std::ostringstream out;
103 out << "Matlab Smoother(" << setupFunction_ << "/" << solveFunction_ << ")";
104 } else {
106 }
107 return out.str();
108}
109
110template <class Scalar, class LocalOrdinal, class GlobalOrdinal, class Node>
111void MatlabSmoother<Scalar, LocalOrdinal, GlobalOrdinal, Node>::print(Teuchos::FancyOStream& out, const VerbLevel verbLevel) const {
113
114 if (verbLevel & Parameters0)
115 out << "Matlab Smoother(" << setupFunction_ << "/" << solveFunction_ << ")";
116
117 if (verbLevel & Parameters1) {
118 out0 << "Parameter list: " << std::endl;
119 Teuchos::OSTab tab2(out);
120 out << this->GetParameterList();
121 }
122
123 if (verbLevel & Debug) {
124 out0 << "IsSetup: " << Teuchos::toString(SmootherPrototype::IsSetup()) << std::endl;
125 }
126}
127
128// Dummy specializations for GO = long long
129/*template <>
130void MatlabSmoother<double,int,long long>::Setup(Level& currentLevel) {
131 throw std::runtime_error("MatlabSmoother does not support GlobalOrdinal == long long.");
132}
133template <>
134void MatlabSmoother<std::complex<double>,int,long long>::Setup(Level& currentLevel) {
135 throw std::runtime_error("MatlabSmoother does not support GlobalOrdinal == long long.");
136}
137
138template <>
139void MatlabSmoother<double,int,long long>::Apply(MultiVector& X, const MultiVector& B, bool InitialGuessIsZero) const {
140 throw std::runtime_error("MatlabSmoother does not support GlobalOrdinal == long long.");
141}
142template <>
143void MatlabSmoother<std::complex<double>,int,long long>::Apply(MultiVector& X, const MultiVector& B, bool InitialGuessIsZero) const {
144 throw std::runtime_error("MatlabSmoother does not support GlobalOrdinal == long long.");
145}*/
146
147} // namespace MueLu
148
149#endif // HAVE_MUELU_MATLAB
150#endif // MUELU_MATLABSMOOTHER_DEF_HPP
#define MUELU_DESCRIBE
Helper macro for implementing Describable::describe() for BaseClass objects.
virtual std::string description() const
Return a simple one-line description of this object.
Exception throws to report errors in the internal logical of the program.
Timer to be used in factories. Similar to Monitor but with additional timers.
Class that holds all level-specific information.
Class that encapsulates Matlab smoothers.
void DeclareInput(Level &currentLevel) const
Input.
void print(Teuchos::FancyOStream &out, const VerbLevel verbLevel=Default) const
Print the object with some verbosity level to an FancyOStream object.
void Setup(Level &currentLevel)
Set up the smoother.
RCP< SmootherPrototype > Copy() const
friend class MatlabSmoother
Constructor.
void Apply(MultiVector &X, const MultiVector &B, bool InitialGuessIsZero=false) const
Apply the preconditioner.
void SetParameterList(const Teuchos::ParameterList &paramList)
Set parameters from a parameter list and return with default values.
std::string description() const
Return a simple one-line description of this object.
virtual void SetParameterList(const Teuchos::ParameterList &paramList)=0
Set parameters from a parameter list and return with default values.
bool IsSetup() const
Get the state of a smoother prototype.
Namespace for MueLu classes and methods.
bool IsParamMuemexVariable(const std::string &name)
@ Warnings0
Important warning messages (one line)
@ Debug
Print additional debugging information.
@ Statistics1
Print more statistics.
@ Parameters0
Print class parameters.
@ Parameters1
Print class parameters (more parameters, more verbose)
std::vector< RCP< MuemexArg > > callMatlab(std::string function, int numOutputs, std::vector< RCP< MuemexArg > > args)
std::vector< std::string > tokenizeList(const std::string &params)