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Add rocsolver+FGMRES test #58

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Nov 2, 2023
Merged

Add rocsolver+FGMRES test #58

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8 changes: 7 additions & 1 deletion tests/functionality/CMakeLists.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,10 @@ if(RESOLVE_USE_HIP)
add_executable(rocsolver_rf_test.exe testKLU_RocSolver.cpp)
target_link_libraries(rocsolver_rf_test.exe PRIVATE ReSolve)

# And another one to test FGMRES version
add_executable(rocsolver_rf_fgmres_test.exe testKLU_RocSolver_FGMRES.cpp)
target_link_libraries(rocsolver_rf_fgmres_test.exe PRIVATE ReSolve)

endif(RESOLVE_USE_HIP)

# Install tests
Expand All @@ -47,7 +51,8 @@ endif(RESOLVE_USE_CUDA)

if(RESOLVE_USE_HIP)
set(installable_tests ${installable_tests}
rocsolver_rf_test.exe)
rocsolver_rf_test.exe
rocsolver_rf_fgmres_test.exe)
endif(RESOLVE_USE_HIP)

install(TARGETS ${installable_tests}
Expand All @@ -67,4 +72,5 @@ endif(RESOLVE_USE_CUDA)

if(RESOLVE_USE_HIP)
add_test(NAME rocsolver_rf_test COMMAND $<TARGET_FILE:rocsolver_rf_test.exe> "${test_data_dir}")
add_test(NAME rocsolver_rf_fgmres_test COMMAND $<TARGET_FILE:rocsolver_rf_fgmres_test.exe> "${test_data_dir}")
endif(RESOLVE_USE_HIP)
271 changes: 271 additions & 0 deletions tests/functionality/testKLU_RocSolver_FGMRES.cpp
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Original file line number Diff line number Diff line change
@@ -0,0 +1,271 @@
#include <string>
#include <iostream>
#include <iomanip>

#include <resolve/vector/Vector.hpp>
#include <resolve/matrix/io.hpp>
#include <resolve/matrix/Coo.hpp>
#include <resolve/matrix/Csr.hpp>
#include <resolve/matrix/Csc.hpp>
#include <resolve/matrix/MatrixHandler.hpp>
#include <resolve/vector/VectorHandler.hpp>
#include <resolve/LinSolverDirectKLU.hpp>
#include <resolve/LinSolverDirectRocSolverRf.hpp>
#include <resolve/LinSolverIterativeFGMRES.hpp>
#include <resolve/workspace/LinAlgWorkspace.hpp>
//author: KS
//functionality test to check whether cuSolverRf/FGMRES works correctly.

using namespace ReSolve::constants;

int main(int argc, char *argv[])
{
// Use ReSolve data types.
using index_type = ReSolve::index_type;
using real_type = ReSolve::real_type;
using vector_type = ReSolve::vector::Vector;

//we want error sum to be 0 at the end
//that means PASS.
//otheriwse it is a FAIL.
int error_sum = 0;
int status = 0;

ReSolve::LinAlgWorkspaceHIP* workspace_HIP = new ReSolve::LinAlgWorkspaceHIP();
workspace_HIP->initializeHandles();
ReSolve::MatrixHandler* matrix_handler = new ReSolve::MatrixHandler(workspace_HIP);
ReSolve::VectorHandler* vector_handler = new ReSolve::VectorHandler(workspace_HIP);

ReSolve::LinSolverDirectKLU* KLU = new ReSolve::LinSolverDirectKLU;
KLU->setupParameters(1, 0.1, false);

ReSolve::LinSolverDirectRocSolverRf* Rf = new ReSolve::LinSolverDirectRocSolverRf(workspace_HIP);
ReSolve::GramSchmidt* GS = new ReSolve::GramSchmidt(vector_handler, ReSolve::GramSchmidt::cgs2);
ReSolve::LinSolverIterativeFGMRES* FGMRES = new ReSolve::LinSolverIterativeFGMRES(matrix_handler, vector_handler, GS, "hip");
// Input to this code is location of `data` directory where matrix files are stored
const std::string data_path = (argc == 2) ? argv[1] : "./";


std::string matrixFileName1 = data_path + "data/matrix_ACTIVSg2000_AC_00.mtx";
std::string matrixFileName2 = data_path + "data/matrix_ACTIVSg2000_AC_02.mtx";

std::string rhsFileName1 = data_path + "data/rhs_ACTIVSg2000_AC_00.mtx.ones";
std::string rhsFileName2 = data_path + "data/rhs_ACTIVSg2000_AC_02.mtx.ones";



// Read first matrix
std::ifstream mat1(matrixFileName1);
if(!mat1.is_open())
{
std::cout << "Failed to open file " << matrixFileName1 << "\n";
return -1;
}
ReSolve::matrix::Coo* A_coo = ReSolve::io::readMatrixFromFile(mat1);
ReSolve::matrix::Csr* A = new ReSolve::matrix::Csr(A_coo->getNumRows(),
A_coo->getNumColumns(),
A_coo->getNnz(),
A_coo->symmetric(),
A_coo->expanded());
mat1.close();

// Read first rhs vector
std::ifstream rhs1_file(rhsFileName1);
if(!rhs1_file.is_open())
{
std::cout << "Failed to open file " << rhsFileName1 << "\n";
return -1;
}
real_type* rhs = ReSolve::io::readRhsFromFile(rhs1_file);
real_type* x = new real_type[A->getNumRows()];
vector_type* vec_rhs = new vector_type(A->getNumRows());
vector_type* vec_x = new vector_type(A->getNumRows());
vector_type* vec_r = new vector_type(A->getNumRows());
rhs1_file.close();

// Convert first matrix to CSR format
matrix_handler->coo2csr(A_coo, A, "cpu");
vec_rhs->update(rhs, ReSolve::memory::HOST, ReSolve::memory::HOST);
vec_rhs->setDataUpdated(ReSolve::memory::HOST);

// Solve the first system using KLU
status = KLU->setup(A);
error_sum += status;

status = KLU->analyze();
error_sum += status;

status = KLU->factorize();
error_sum += status;

status = KLU->solve(vec_rhs, vec_x);
error_sum += status;

vector_type* vec_test;
vector_type* vec_diff;

vec_test = new vector_type(A->getNumRows());
vec_diff = new vector_type(A->getNumRows());
real_type* x_data = new real_type[A->getNumRows()];

for (int i=0; i<A->getNumRows(); ++i){
x_data[i] = 1.0;
}

vec_test->setData(x_data, ReSolve::memory::HOST);
vec_r->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
vec_diff->update(x_data, ReSolve::memory::HOST, ReSolve::memory::DEVICE);

// real_type normXmatrix1 = sqrt(vector_handler->dot(vec_test, vec_test, ReSolve::memory::DEVICE));
matrix_handler->setValuesChanged(true, "hip");
//evaluate the residual ||b-Ax||
status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE,"csr","hip");
error_sum += status;

real_type normRmatrix1 = sqrt(vector_handler->dot(vec_r, vec_r, "hip"));


//for testing only - control

real_type normXtrue = sqrt(vector_handler->dot(vec_x, vec_x, "hip"));
real_type normB1 = sqrt(vector_handler->dot(vec_rhs, vec_rhs, "hip"));

//compute x-x_true
vector_handler->axpy(&MINUSONE, vec_x, vec_diff, "hip");
//evaluate its norm
real_type normDiffMatrix1 = sqrt(vector_handler->dot(vec_diff, vec_diff, "hip"));

//compute the residual using exact solution
vec_r->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
status = matrix_handler->matvec(A, vec_test, vec_r, &ONE, &MINUSONE,"csr", "hip");
error_sum += status;
real_type exactSol_normRmatrix1 = sqrt(vector_handler->dot(vec_r, vec_r, "hip"));
//evaluate the residual ON THE CPU using COMPUTED solution

vec_r->update(rhs, ReSolve::memory::HOST, ReSolve::memory::HOST);

status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE,"csr", "cpu");
error_sum += status;

real_type normRmatrix1CPU = sqrt(vector_handler->dot(vec_r, vec_r, "hip"));

std::cout<<"Results (first matrix): "<<std::endl<<std::endl;
std::cout<<"\t ||b-A*x||_2 : " << std::setprecision(16) << normRmatrix1 << " (residual norm)" << std::endl;
std::cout<<"\t ||b-A*x||_2 (CPU) : " << std::setprecision(16) << normRmatrix1CPU << " (residual norm)" << std::endl;
std::cout<<"\t ||b-A*x||_2/||b||_2 : " << normRmatrix1/normB1 << " (scaled residual norm)" << std::endl;
std::cout<<"\t ||x-x_true||_2 : " << normDiffMatrix1 << " (solution error)" << std::endl;
std::cout<<"\t ||x-x_true||_2/||x_true||_2 : " << normDiffMatrix1/normXtrue << " (scaled solution error)" << std::endl;
std::cout<<"\t ||b-A*x_exact||_2 : " << exactSol_normRmatrix1 << " (control; residual norm with exact solution)\n\n";


// Now prepare the Rf solver

ReSolve::matrix::Csc* L = (ReSolve::matrix::Csc*) KLU->getLFactor();
ReSolve::matrix::Csc* U = (ReSolve::matrix::Csc*) KLU->getUFactor();

if (L == nullptr) {
printf("ERROR");
}
index_type* P = KLU->getPOrdering();
index_type* Q = KLU->getQOrdering();
Rf->setSolveMode(1);
vec_rhs->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
error_sum += Rf->setup(A, L, U, P, Q, vec_rhs);
FGMRES->setMaxit(200);
FGMRES->setRestart(100);

GS->setup(A->getNumRows(), FGMRES->getRestart());
status = FGMRES->setup(A);
error_sum += status;

// Load the second matrix
std::ifstream mat2(matrixFileName2);
if(!mat2.is_open())
{
std::cout << "Failed to open file " << matrixFileName2 << "\n";
return -1;
}
ReSolve::io::readAndUpdateMatrix(mat2, A_coo);
mat2.close();

// Load the second rhs vector
std::ifstream rhs2_file(rhsFileName2);
if(!rhs2_file.is_open())
{
std::cout << "Failed to open file " << rhsFileName2 << "\n";
return -1;
}
ReSolve::io::readAndUpdateRhs(rhs2_file, &rhs);
rhs2_file.close();

matrix_handler->coo2csr(A_coo, A, "hip");
vec_rhs->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);

status = Rf->refactorize();
error_sum += status;

vec_x->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
status = Rf->solve(vec_x);
error_sum += status;

FGMRES->resetMatrix(A);
status = FGMRES->setupPreconditioner("LU", Rf);
error_sum += status;

vec_rhs->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
status = FGMRES->solve(vec_rhs, vec_x);
error_sum += status;

vec_r->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
matrix_handler->setValuesChanged(true, "hip");

//evaluate final residual
status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE, "csr", "hip");
error_sum += status;

real_type normRmatrix2 = sqrt(vector_handler->dot(vec_r, vec_r, "hip"));


//for testing only - control
real_type normB2 = sqrt(vector_handler->dot(vec_rhs, vec_rhs, "hip"));
//compute x-x_true
vec_diff->update(x_data, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
vector_handler->axpy(&MINUSONE, vec_x, vec_diff, "hip");
//evaluate its norm
real_type normDiffMatrix2 = sqrt(vector_handler->dot(vec_diff, vec_diff, "hip"));

//compute the residual using exact solution
vec_r->update(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE);
status = matrix_handler->matvec(A, vec_test, vec_r, &ONE, &MINUSONE, "csr", "hip");
error_sum += status;
real_type exactSol_normRmatrix2 = sqrt(vector_handler->dot(vec_r, vec_r, "hip"));
std::cout<<"Results (second matrix): "<<std::endl<<std::endl;
std::cout<<"\t ||b-A*x||_2 : "<<normRmatrix2<<" (residual norm)"<<std::endl;
std::cout<<"\t ||b-A*x||_2/||b||_2 : "<<normRmatrix2/normB2<<" (scaled residual norm)"<<std::endl;
std::cout<<"\t ||x-x_true||_2 : "<<normDiffMatrix2<<" (solution error)"<<std::endl;
std::cout<<"\t ||x-x_true||_2/||x_true||_2 : "<<normDiffMatrix2/normXtrue<<" (scaled solution error)"<<std::endl;
std::cout<<"\t ||b-A*x_exact||_2 : "<<exactSol_normRmatrix2<<" (control; residual norm with exact solution)"<<std::endl;
std::cout<<"\t IR iterations : "<<FGMRES->getNumIter()<<" (max 200, restart 100)"<<std::endl;
std::cout<<"\t IR starting res. norm : "<<FGMRES->getInitResidualNorm()<<" "<<std::endl;
std::cout<<"\t IR final res. norm : "<<FGMRES->getFinalResidualNorm()<<" (tol 1e-14)"<<std::endl<<std::endl;
if ((error_sum == 0) && (normRmatrix1/normB1 < 1e-12 ) && (normRmatrix2/normB2 < 1e-9)) {
std::cout<<"Test 4 (KLU with rocsolverrf refactorization + IR) PASSED"<<std::endl<<std::endl;;
} else {
std::cout<<"Test 4 (KLU with rocsolverrf refactorization + IR) FAILED, error sum: "<<error_sum<<std::endl<<std::endl;;
}

delete A;
delete KLU;
delete GS;
delete FGMRES;
delete Rf;
delete [] x;
delete [] rhs;
delete vec_r;
delete vec_x;
delete workspace_HIP;
delete matrix_handler;
delete vector_handler;

return error_sum;
}