diff --git a/resolve/matrix/io.cpp b/resolve/matrix/io.cpp index 17eaa014..0c6305ae 100644 --- a/resolve/matrix/io.cpp +++ b/resolve/matrix/io.cpp @@ -417,7 +417,8 @@ namespace ReSolve file_out << "% Generated by Re::Solve \n"; file_out << vec_x->getSize() << " " << 1 << "\n"; for (int i = 0; i < vec_x->getSize(); ++i) { - file_out << std::setprecision(32) << std::scientific << x_data[i] << "\n"; + file_out << std::setprecision(std::numeric_limits::digits10 + 1) + << std::scientific << x_data[i] << "\n"; } return 0; diff --git a/tests/functionality/CMakeLists.txt b/tests/functionality/CMakeLists.txt index f8f89686..8d25ead6 100644 --- a/tests/functionality/CMakeLists.txt +++ b/tests/functionality/CMakeLists.txt @@ -168,8 +168,11 @@ endif(RESOLVE_USE_CUDA) if(RESOLVE_USE_HIP) if(RESOLVE_USE_KLU) - add_test(NAME rocsolver_rf_test COMMAND $ "${test_data_dir}") - add_test(NAME rocsolver_rf_fgmres_test COMMAND $ "${test_data_dir}") + add_test(NAME rocsolver_rf_test COMMAND $ "-d" "${test_data_dir}") + add_test(NAME rocsolver_rf_m1_test COMMAND $ "-d" "${test_data_dir}" "-m") + add_test(NAME rocsolver_rf_ir_test COMMAND $ "-d" "${test_data_dir}" "-i") + add_test(NAME rocsolver_rf_ir_m1_test COMMAND $ "-d" "${test_data_dir}" "-i" "-m") + # add_test(NAME rocsolver_rf_fgmres_test COMMAND $ "${test_data_dir}") add_test(NAME sys_refactor_hip_test COMMAND $ "${test_data_dir}") endif(RESOLVE_USE_KLU) add_test(NAME rand_gmres_hip_test COMMAND $) diff --git a/tests/functionality/TestHelper.hpp b/tests/functionality/TestHelper.hpp new file mode 100644 index 00000000..5128887a --- /dev/null +++ b/tests/functionality/TestHelper.hpp @@ -0,0 +1,248 @@ +#pragma once + +#include + +void isTestPass(int error_sum, const std::string& test_name) +{ + using namespace ReSolve::colors; + + if (error_sum == 0) { + std::cout << std::endl << test_name + << GREEN << " PASSED" << CLEAR << std::endl << std::endl; + } else { + std::cout << std::endl << test_name + << RED << " FAILED" << CLEAR + << ", error sum: " << error_sum << std::endl << std::endl; + } +} + +/** + * @brief Test helper class template + * + * @tparam workspace_type + */ +template +class TestHelper +{ + public: + /** + * @brief Test Helper constructor + * + * @param A + * @param r + * @param x + * @param workspace + * + * @pre The linear solver has solved system A * x = r. + * @pre A, r, and x are all in the same memory space as the workspace. + */ + TestHelper(ReSolve::matrix::Sparse* A, + ReSolve::vector::Vector* r, + ReSolve::vector::Vector* x, + workspace_type& workspace) + : A_(A), + r_(r), + x_(x), + mh_(&workspace), + vh_(&workspace), + res_(A->getNumRows()), + x_true_(A->getNumRows()) + { + if (mh_.getIsCudaEnabled() || mh_.getIsHipEnabled()) { + memspace_ = ReSolve::memory::DEVICE; + } + + setSolutionVector(); + computeNorms(); + } + + ~TestHelper() + { + // empty + } + + void resetSystem(ReSolve::matrix::Sparse* A, + ReSolve::vector::Vector* r, + ReSolve::vector::Vector* x) + { + assert(A_->getNumRows() == A->getNumRows()); + A_ = A; + r_ = r; + x_ = x; + computeNorms(); + } + + void setTestName(const std::string& name) + { + test_name_ += name; + } + + ReSolve::real_type getNormResidual() + { + return norm_res_; + } + + ReSolve::real_type getNormResidualScaled() + { + return norm_res_/norm_rhs_; + } + + ReSolve::real_type getNormResidualCpu() + { + return norm_res_cpu_; + } + + ReSolve::real_type getNormResidualTrue() + { + return norm_res_true_; + } + + ReSolve::real_type getNormDiff() + { + return norm_diff_; + } + + ReSolve::real_type getNormDiffScaled() + { + return norm_diff_/norm_true_; + } + + void printSummary() + { + std::cout << std::setprecision(16) << std::scientific; + std::cout << "\t ||b-A*x|| : " << getNormResidual() << " (residual norm)\n"; + if (memspace_ == ReSolve::memory::DEVICE) { + std::cout << "\t ||b-A*x|| (CPU) : " << getNormResidualCpu() << " (residual norm on CPU)\n"; + } + std::cout << "\t ||b-A*x||/||b|| : " << getNormResidualScaled() << " (scaled residual norm)\n"; + std::cout << "\t ||x-x_true|| : " << getNormDiff() << " (solution error)\n"; + std::cout << "\t ||x-x_true||/||x_true|| : " << getNormDiffScaled() << " (scaled solution error)\n"; + std::cout << "\t ||b-A*x_true|| : " << getNormResidualTrue() << " (residual norm with exact solution)\n"; + } + + int checkResult(ReSolve::real_type tolerance) + { + int error_sum = 0; + ReSolve::real_type norm = norm_res_/norm_rhs_; + + if (!std::isfinite(norm)) { + std::cout << "Result is not a finite number!\n"; + error_sum++; + } + if (norm > tolerance) { + std::cout << "Result inaccurate!\n"; + error_sum++; + } + + return error_sum; + } + + private: + void computeNorms() + { + if (!solution_set_) { + setSolutionVector(); + } + + // Compute rs and residual norms + res_.copyDataFrom(r_, memspace_, memspace_); + norm_rhs_ = norm2(*r_, memspace_); + norm_res_ = computeResidualNorm(*A_, *x_, res_, memspace_); + + // Compute residual norm w.r.t. true solution + res_.copyDataFrom(r_, memspace_, memspace_); + norm_res_true_ = computeResidualNorm(*A_, x_true_, res_, memspace_); + + // Compute residual norm on CPU + if (memspace_ == ReSolve::memory::DEVICE) { + A_->syncData(ReSolve::memory::HOST); + r_->syncData(ReSolve::memory::HOST); + x_->syncData(ReSolve::memory::HOST); + res_.copyDataFrom(r_, memspace_, ReSolve::memory::HOST); + norm_res_cpu_ = computeResidualNorm(*A_, *x_, res_, ReSolve::memory::HOST); + } + + // Compute vector difference norm + res_.copyDataFrom(x_, memspace_, memspace_); + norm_diff_ = computeDiffNorm(x_true_, res_, memspace_); + } + + void setSolutionVector() + { + x_true_.allocate(memspace_); + x_true_.setToConst(static_cast(1.0), memspace_); + x_true_.setDataUpdated(memspace_); + x_true_.syncData(ReSolve::memory::HOST); + norm_true_ = norm2(x_true_, memspace_); + solution_set_ = true; + } + + /** + * @brief Computes residual norm = || A * x - r ||_2 + * + * @param[in] A + * @param[in] x + * @param[in,out] r + * @return ReSolve::real_type + * + * @post r is overwritten with residual values + */ + ReSolve::real_type computeResidualNorm(ReSolve::matrix::Sparse& A, + ReSolve::vector::Vector& x, + ReSolve::vector::Vector& r, + ReSolve::memory::MemorySpace memspace) + { + using namespace ReSolve::constants; + mh_.matvec(&A, &x, &r, &ONE, &MINUSONE, memspace); // r := A * x - r + return norm2(r, memspace); + } + + /** + * @brief Compute vector difference norm = || x - x_true ||_2 + * + * @param[in] x_true + * @param[in,out] x + * @param[in] memspace + * @return ReSolve::real_type + * + * @post x is overwritten with difference value + */ + ReSolve::real_type computeDiffNorm(ReSolve::vector::Vector& x_true, + ReSolve::vector::Vector& x, + ReSolve::memory::MemorySpace memspace) + { + using namespace ReSolve::constants; + vh_.axpy(&MINUSONE, &x_true, &x, memspace); // x := -x_true + x + return norm2(x, memspace); + } + + ReSolve::real_type norm2(ReSolve::vector::Vector& r, + ReSolve::memory::MemorySpace memspace) + { + return std::sqrt(vh_.dot(&r, &r, memspace)); + } + + private: + ReSolve::matrix::Sparse* A_; + ReSolve::vector::Vector* r_; + ReSolve::vector::Vector* x_; + + std::string test_name_{"Test "}; + + ReSolve::MatrixHandler mh_; + ReSolve::VectorHandler vh_; + + ReSolve::vector::Vector res_; + ReSolve::vector::Vector x_true_; + + ReSolve::real_type norm_rhs_{0.0}; + ReSolve::real_type norm_res_{0.0}; + ReSolve::real_type norm_res_cpu_{0.0}; + ReSolve::real_type norm_res_true_{0.0}; + ReSolve::real_type norm_true_{0.0}; + ReSolve::real_type norm_diff_{0.0}; + + bool solution_set_{false}; + + ReSolve::memory::MemorySpace memspace_{ReSolve::memory::HOST}; +}; diff --git a/tests/functionality/data/rhs_ACTIVSg2000_AC_00.mtx.ones b/tests/functionality/data/rhs_ACTIVSg2000_AC_00.mtx.ones index d089d6d8..4880d854 100644 --- a/tests/functionality/data/rhs_ACTIVSg2000_AC_00.mtx.ones +++ b/tests/functionality/data/rhs_ACTIVSg2000_AC_00.mtx.ones @@ -1,55670 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+-1.3290716991994016e+00 diff --git a/tests/functionality/testKLU_RocSolver.cpp b/tests/functionality/testKLU_RocSolver.cpp index cedcd69d..0de2b9f8 100644 --- a/tests/functionality/testKLU_RocSolver.cpp +++ b/tests/functionality/testKLU_RocSolver.cpp @@ -16,48 +16,81 @@ #include #include #include +#include +#include #include +#include -using namespace ReSolve::constants; -using namespace ReSolve::colors; +#include "TestHelper.hpp" + + +static int runTest(int argc, char *argv[]); int main(int argc, char *argv[]) { + return runTest(argc, argv); +} + +int runTest(int argc, char *argv[]) +{ + std::string test_name("Test KLU with rocsolverRf"); + // Use ReSolve data types. using index_type = ReSolve::index_type; using real_type = ReSolve::real_type; using vector_type = ReSolve::vector::Vector; using matrix_type = ReSolve::matrix::Sparse; - //we want error sum to be 0 at the end - //that means PASS. - //otheriwse it is a FAIL. + // Error sum needs to be zero at the end for test to pass. 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); + // Collect all CLI + ReSolve::CliOptions options(argc, argv); + ReSolve::CliOptions::Option* opt = nullptr; + + opt = options.getParamFromKey("-d"); + std::string data_path = opt ? (*opt).second : "./"; + + int mode = 0; + opt = options.getParamFromKey("-m"); + if (opt) { + mode = 1; + test_name += " (mode 1)"; + } + + opt = options.getParamFromKey("-i"); + bool is_ir = opt ? true : false; - ReSolve::LinSolverDirectKLU* KLU = new ReSolve::LinSolverDirectKLU; + // Create workspace + ReSolve::LinAlgWorkspaceHIP workspace; + workspace.initializeHandles(); - ReSolve::LinSolverDirectRocSolverRf* Rf = new ReSolve::LinSolverDirectRocSolverRf(workspace_HIP); - // Input to this code is location of `data` directory where matrix files are stored - const std::string data_path = (argc == 2) ? argv[1] : "./"; + // Create direct solvers + ReSolve::LinSolverDirectKLU KLU; + ReSolve::LinSolverDirectRocSolverRf Rf(&workspace); + Rf.setSolveMode(mode); + // Create iterative solver + ReSolve::MatrixHandler matrix_handler(&workspace); + ReSolve::VectorHandler vector_handler(&workspace); + ReSolve::GramSchmidt GS(&vector_handler, ReSolve::GramSchmidt::CGS2); + ReSolve::LinSolverIterativeFGMRES FGMRES(&matrix_handler, &vector_handler, &GS); + FGMRES.setMaxit(200); + FGMRES.setRestart(100); - std::string matrixFileName1 = data_path + "data/matrix_ACTIVSg200_AC_10.mtx"; - std::string matrixFileName2 = data_path + "data/matrix_ACTIVSg200_AC_11.mtx"; - std::string rhsFileName1 = data_path + "data/rhs_ACTIVSg200_AC_10.mtx.ones"; - std::string rhsFileName2 = data_path + "data/rhs_ACTIVSg200_AC_11.mtx.ones"; + std::string matrix_file_name_1 = data_path + "data/matrix_ACTIVSg200_AC_10.mtx"; + std::string matrix_file_name_2 = data_path + "data/matrix_ACTIVSg200_AC_11.mtx"; + + std::string rhs_file_name_1 = data_path + "data/rhs_ACTIVSg200_AC_10.mtx.ones"; + std::string rhs_file_name_2 = data_path + "data/rhs_ACTIVSg200_AC_11.mtx.ones"; // Read first matrix - std::ifstream mat1(matrixFileName1); + std::ifstream mat1(matrix_file_name_1); if(!mat1.is_open()) { - std::cout << "Failed to open file " << matrixFileName1 << "\n"; + std::cout << "Failed to open file " << matrix_file_name_1 << "\n"; return -1; } ReSolve::matrix::Csr* A = ReSolve::io::createCsrFromFile(mat1); @@ -65,112 +98,84 @@ int main(int argc, char *argv[]) mat1.close(); // Read first rhs vector - std::ifstream rhs1_file(rhsFileName1); + std::ifstream rhs1_file(rhs_file_name_1); if(!rhs1_file.is_open()) { - std::cout << "Failed to open file " << rhsFileName1 << "\n"; + std::cout << "Failed to open file " << rhs_file_name_1 << "\n"; return -1; } real_type* rhs = ReSolve::io::createArrayFromFile(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()); - vec_x->allocate(ReSolve::memory::HOST);//for KLU - vec_x->allocate(ReSolve::memory::DEVICE); - vector_type* vec_r = new vector_type(A->getNumRows()); + vector_type vec_rhs(A->getNumRows()); + vec_rhs.copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::HOST); + vec_rhs.syncData(ReSolve::memory::DEVICE); rhs1_file.close(); - // Convert first matrix to CSR format - vec_rhs->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::HOST); - vec_rhs->setDataUpdated(ReSolve::memory::HOST); + // Allocate the solution vector + vector_type vec_x(A->getNumRows()); + vec_x.allocate(ReSolve::memory::HOST); //for KLU + vec_x.allocate(ReSolve::memory::DEVICE); // Solve the first system using KLU - status = KLU->setup(A); + status = KLU.setup(A); error_sum += status; - status = KLU->analyze(); + status = KLU.analyze(); error_sum += status; - status = KLU->factorize(); + status = KLU.factorize(); error_sum += status; - status = KLU->solve(vec_rhs, vec_x); - error_sum += status; + std::cout << "KLU factorize status: " << status <getLFactor(); - matrix_type* U = KLU->getUFactor(); - if (L == nullptr) {printf("ERROR");} - index_type* P = KLU->getPOrdering(); - index_type* Q = KLU->getQOrdering(); - vec_rhs->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - vec_rhs->setDataUpdated(ReSolve::memory::DEVICE); + matrix_type* L = KLU.getLFactor(); + matrix_type* U = KLU.getUFactor(); + index_type* P = KLU.getPOrdering(); + index_type* Q = KLU.getQOrdering(); - status = Rf->setup(A, L, U, P, Q, vec_rhs); + status = Rf.setup(A, L, U, P, Q, &vec_rhs); error_sum += status; - std::cout<<"Rf setup status: "<refactorize(); + status = Rf.refactorize(); 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; igetNumRows(); ++i){ - x_data[i] = 1.0; - } - vec_test->setData(x_data, ReSolve::memory::HOST); - vec_r->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - vec_diff->copyDataFrom(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, ReSolve::memory::DEVICE); - status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE, ReSolve::memory::DEVICE); + status = Rf.solve(&vec_rhs, &vec_x); error_sum += status; - real_type normRmatrix1 = sqrt(vector_handler->dot(vec_r, vec_r, ReSolve::memory::DEVICE)); - - //for testing only - control + if (is_ir) { + test_name += " + IR"; - real_type normXtrue = sqrt(vector_handler->dot(vec_x, vec_x, ReSolve::memory::DEVICE)); - real_type normB1 = sqrt(vector_handler->dot(vec_rhs, vec_rhs, ReSolve::memory::DEVICE)); + status = FGMRES.setup(A); + error_sum += status; - //compute x-x_true - vector_handler->axpy(&MINUSONE, vec_x, vec_diff, ReSolve::memory::DEVICE); - //evaluate its norm - real_type normDiffMatrix1 = sqrt(vector_handler->dot(vec_diff, vec_diff, ReSolve::memory::DEVICE)); + status = FGMRES.setupPreconditioner("LU", &Rf); + error_sum += status; - //compute the residual using exact solution - vec_r->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - status = matrix_handler->matvec(A, vec_test, vec_r, &ONE, &MINUSONE, ReSolve::memory::DEVICE); - error_sum += status; - real_type exactSol_normRmatrix1 = sqrt(vector_handler->dot(vec_r, vec_r, ReSolve::memory::DEVICE)); - //evaluate the residual ON THE CPU using COMPUTED solution - - vec_r->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::HOST); - - status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE, ReSolve::memory::HOST); - error_sum += status; - - real_type normRmatrix1CPU = sqrt(vector_handler->dot(vec_r, vec_r, ReSolve::memory::DEVICE)); + status = FGMRES.solve(&vec_rhs, &vec_x); + error_sum += status; + } - std::cout<<"Results (first matrix): "< th(A, &vec_rhs, &vec_x, workspace); + // Print result summary and check solution + std::cout << "\nResults (first matrix): \n\n"; + th.printSummary(); + if (is_ir) { + std::cout<<"\t IR iterations : " << FGMRES.getNumIter() << " (max 200, restart 100)\n"; + std::cout<<"\t IR starting res. norm : " << FGMRES.getInitResidualNorm() << "\n"; + std::cout<<"\t IR final res. norm : " << FGMRES.getFinalResidualNorm() << " (tol 1e-14) \n"; + } + error_sum += th.checkResult(1e-16); // Load the second matrix - std::ifstream mat2(matrixFileName2); + std::ifstream mat2(matrix_file_name_2); if(!mat2.is_open()) { - std::cout << "Failed to open file " << matrixFileName2 << "\n"; + std::cout << "Failed to open file " << matrix_file_name_2 << "\n"; return -1; } ReSolve::io::updateMatrixFromFile(mat2, A); @@ -178,79 +183,49 @@ int main(int argc, char *argv[]) mat2.close(); // Load the second rhs vector - std::ifstream rhs2_file(rhsFileName2); + std::ifstream rhs2_file(rhs_file_name_2); if(!rhs2_file.is_open()) { - std::cout << "Failed to open file " << rhsFileName2 << "\n"; + std::cout << "Failed to open file " << rhs_file_name_2 << "\n"; return -1; } ReSolve::io::updateArrayFromFile(rhs2_file, &rhs); rhs2_file.close(); + vec_rhs.copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - vec_rhs->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - - // this hangs up - status = Rf->refactorize(); - error_sum += status; - - std::cout<<"rocSolverRf refactorization status: "<solve(vec_rhs, vec_x); - error_sum += status; - - vec_r->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - matrix_handler->setValuesChanged(true, ReSolve::memory::DEVICE); - - status = matrix_handler->matvec(A, vec_x, vec_r, &ONE, &MINUSONE, ReSolve::memory::DEVICE); + status = Rf.refactorize(); error_sum += status; + std::cout << "rocSolverRf refactorization status: " << status << std::endl; + + if (is_ir) { + FGMRES.resetMatrix(A); + status = FGMRES.setupPreconditioner("LU", &Rf); + error_sum += status; + + status = FGMRES.solve(&vec_rhs, &vec_x); + error_sum += status; + } else { + status = Rf.solve(&vec_rhs, &vec_x); + error_sum += status; + } - real_type normRmatrix2 = sqrt(vector_handler->dot(vec_r, vec_r, ReSolve::memory::DEVICE)); - - //for testing only - control - real_type normB2 = sqrt(vector_handler->dot(vec_rhs, vec_rhs, ReSolve::memory::DEVICE)); - //compute x-x_true - vec_diff->copyDataFrom(x_data, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - vector_handler->axpy(&MINUSONE, vec_x, vec_diff, ReSolve::memory::DEVICE); - //evaluate its norm - real_type normDiffMatrix2 = sqrt(vector_handler->dot(vec_diff, vec_diff, ReSolve::memory::DEVICE)); + th.resetSystem(A, &vec_rhs, &vec_x); - //compute the residual using exact solution - vec_r->copyDataFrom(rhs, ReSolve::memory::HOST, ReSolve::memory::DEVICE); - status = matrix_handler->matvec(A, vec_test, vec_r, &ONE, &MINUSONE, ReSolve::memory::DEVICE); - error_sum += status; - real_type exactSol_normRmatrix2 = sqrt(vector_handler->dot(vec_r, vec_r, ReSolve::memory::DEVICE)); - - std::cout<<"Results (second matrix): "< 1e-16 ) || (normRmatrix2/normB2 > 1e-16)) { - std::cout << "Result inaccurate!\n"; - error_sum++; - } - if (error_sum == 0) { - std::cout << "Test KLU with cuSolverGLU refactorization " << GREEN << "PASSED" << CLEAR << std::endl; - } else { - std::cout << "Test KLU with cuSolverGLU refactorization " << RED << "FAILED" << CLEAR - << ", error sum: " << error_sum << std::endl; + std::cout << "\nResults (second matrix): \n\n"; + th.printSummary(); + if (is_ir) { + std::cout<<"\t IR iterations : " << FGMRES.getNumIter() << " (max 200, restart 100)\n"; + std::cout<<"\t IR starting res. norm : " << FGMRES.getInitResidualNorm() << "\n"; + std::cout<<"\t IR final res. norm : " << FGMRES.getFinalResidualNorm() << " (tol 1e-14) \n"; } + error_sum += th.checkResult(1e-16); - //now DELETE + isTestPass(error_sum, test_name); + + // delete data on the heap delete A; - delete KLU; - delete [] x; delete [] rhs; - delete vec_r; - delete vec_x; - delete workspace_HIP; - delete matrix_handler; - delete vector_handler; + return error_sum; }