GCC Code Coverage Report

Directory: ./
File: src/eps/tests/test43.c
Date: 2025-10-04 04:19:13
Exec Total Coverage
Lines: 105 105 100.0%
Functions: 1 1 100.0%
Branches: 275 562 48.9%
Line Branch Exec Source
1 /*
2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3 SLEPc - Scalable Library for Eigenvalue Problem Computations
4 Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
5
6 This file is part of SLEPc.
7 SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9 */
10
11 static char help[] = "Solves a linear system using PCHPDDM.\n\n"
12 "Modification of ${PETSC_DIR}/src/ksp/ksp/tutorials/ex76.c where concurrent EPS are instantiated explicitly by the user.\n\n";
13
14 #include <slepceps.h>
15
16 8 int main(int argc,char **args)
17 {
18 8 Mat A,aux,a,P,B,X;
19 8 Vec b;
20 8 KSP ksp;
21 8 PC pc;
22 8 EPS eps;
23 8 ST st;
24 8 IS is,sizes;
25 8 const PetscInt *idx;
26 8 PetscInt m,rstart,rend,location,nev,nconv;
27 8 PetscMPIInt rank,size;
28 8 PetscViewer viewer;
29 8 char dir[PETSC_MAX_PATH_LEN],name[PETSC_MAX_PATH_LEN];
30 8 PetscBool flg;
31
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 8 PetscFunctionBeginUser;
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 8 PetscCall(SlepcInitialize(&argc,&args,NULL,help));
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 8 PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD,&size));
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 8 PetscCheck(size == 4,PETSC_COMM_WORLD,PETSC_ERR_USER,"This example requires 4 processes");
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 8 PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD,&rank));
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 8 PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
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 8 PetscCall(MatCreate(PETSC_COMM_SELF,&aux));
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 8 PetscCall(ISCreate(PETSC_COMM_SELF,&is));
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 8 PetscCall(PetscStrcpy(dir,"."));
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 8 PetscCall(PetscOptionsGetString(NULL,NULL,"-load_dir",dir,sizeof(dir),NULL));
42 /* loading matrices */
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 8 PetscCall(PetscSNPrintf(name,sizeof(name),"%s/sizes_%d_%d.dat",dir,rank,size));
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 8 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF,name,FILE_MODE_READ,&viewer));
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 8 PetscCall(ISCreate(PETSC_COMM_SELF,&sizes));
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 8 PetscCall(ISLoad(sizes,viewer));
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 8 PetscCall(ISGetIndices(sizes,&idx));
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 8 PetscCall(MatSetSizes(A,idx[0],idx[1],idx[2],idx[3]));
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 8 PetscCall(ISRestoreIndices(sizes,&idx));
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 8 PetscCall(ISDestroy(&sizes));
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 8 PetscCall(PetscViewerDestroy(&viewer));
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 8 PetscCall(PetscSNPrintf(name,sizeof(name),"%s/A.dat",dir));
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 8 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,name,FILE_MODE_READ,&viewer));
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 8 PetscCall(MatLoad(A,viewer));
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 8 PetscCall(PetscViewerDestroy(&viewer));
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 8 PetscCall(PetscSNPrintf(name,sizeof(name),"%s/is_%d_%d.dat",dir,rank,size));
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 8 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF,name,FILE_MODE_READ,&viewer));
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 8 PetscCall(ISLoad(is,viewer));
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 8 PetscCall(PetscViewerDestroy(&viewer));
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 8 PetscCall(ISSetBlockSize(is,2));
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 8 PetscCall(PetscSNPrintf(name,sizeof(name),"%s/Neumann_%d_%d.dat",dir,rank,size));
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 8 PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF,name,FILE_MODE_READ,&viewer));
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 8 PetscCall(MatLoad(aux,viewer));
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 8 PetscCall(PetscViewerDestroy(&viewer));
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 8 PetscCall(MatSetBlockSizesFromMats(aux,A,A));
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 8 PetscCall(MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE));
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 8 PetscCall(MatSetOption(aux,MAT_SYMMETRIC,PETSC_TRUE));
68 /* ready for testing */
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 8 PetscCall(KSPCreate(PETSC_COMM_WORLD,&ksp));
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 8 PetscCall(KSPSetOperators(ksp,A,A));
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 8 PetscCall(KSPGetPC(ksp,&pc));
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 8 PetscCall(PCSetType(pc,PCHPDDM));
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 8 PetscCall(MatDuplicate(aux,MAT_DO_NOT_COPY_VALUES,&B)); /* duplicate so that MatStructure is SAME_NONZERO_PATTERN */
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 8 PetscCall(MatGetDiagonalBlock(A,&a));
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 8 PetscCall(MatGetOwnershipRange(A,&rstart,&rend));
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 8 PetscCall(ISGetLocalSize(is,&m));
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 8 PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF,rend-rstart,m,1,NULL,&P));
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 3452 for (m = rstart; m < rend; ++m) {
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 3444 PetscCall(ISLocate(is,m,&location));
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 3444 PetscCheck(location >= 0,PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"IS of the auxiliary Mat does not include all local rows of A");
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 3444 PetscCall(MatSetValue(P,m-rstart,location,1.0,INSERT_VALUES));
82 }
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 8 PetscCall(MatAssemblyBegin(P,MAT_FINAL_ASSEMBLY));
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 8 PetscCall(MatAssemblyEnd(P,MAT_FINAL_ASSEMBLY));
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 8 PetscCall(MatPtAP(a,P,MAT_INITIAL_MATRIX,1.0,&X));
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 8 PetscCall(MatDestroy(&P));
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 8 PetscCall(MatAXPY(B,1.0,X,SUBSET_NONZERO_PATTERN));
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 8 PetscCall(MatDestroy(&X));
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 8 PetscCall(MatSetOption(B,MAT_SYMMETRIC,PETSC_TRUE));
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 8 PetscCall(EPSCreate(PETSC_COMM_SELF,&eps));
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 8 PetscCall(EPSSetOperators(eps,aux,B));
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 8 PetscCall(EPSSetProblemType(eps,EPS_GHEP));
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 8 PetscCall(EPSSetTarget(eps,0.0));
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 8 PetscCall(EPSSetWhichEigenpairs(eps,EPS_TARGET_MAGNITUDE));
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 8 PetscCall(EPSGetST(eps,&st));
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 8 PetscCall(STSetType(st,STSINVERT));
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 8 PetscCall(EPSSetFromOptions(eps));
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 8 PetscCall(EPSGetDimensions(eps,&nev,NULL,NULL));
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 8 PetscCall(EPSSolve(eps));
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 8 PetscCall(EPSGetConverged(eps,&nconv));
101 8 nev = PetscMin(nev,nconv);
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 8 PetscCall(ISGetLocalSize(is,&m));
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 8 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF,m,nev,NULL,&P));
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 88 for (m = 0; m < nev; ++m) {
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 80 PetscCall(MatDenseGetColumnVecWrite(P,m,&b));
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 80 PetscCall(EPSGetEigenvector(eps,m,b,NULL));
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 80 PetscCall(MatDenseRestoreColumnVecWrite(P,m,&b));
108 }
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 8 PetscCall(EPSDestroy(&eps));
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 8 PetscCall(MatDestroy(&B));
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 8 PetscCall(PCHPDDMSetDeflationMat(pc,is,P));
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 8 PetscCall(MatDestroy(&P));
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 8 PetscCall(MatDestroy(&aux));
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 8 PetscCall(KSPSetFromOptions(ksp));
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 8 PetscCall(ISDestroy(&is));
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 8 PetscCall(MatCreateVecs(A,NULL,&b));
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 8 PetscCall(VecSet(b,1.0));
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 8 PetscCall(KSPSolve(ksp,b,b));
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 8 PetscCall(PetscObjectTypeCompare((PetscObject)pc,PCHPDDM,&flg));
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 8 if (flg) {
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 8 PetscCall(PCHPDDMGetSTShareSubKSP(pc,&flg));
122 /* since EPSSolve() is called outside PCSetUp_HPDDM() and there is not mechanism (yet) to pass the underlying ST, */
123 /* PCHPDDMGetSTShareSubKSP() should not return PETSC_TRUE when using PCHPDDMSetDeflationMat() */
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 8 PetscCheck(!flg,PETSC_COMM_SELF,PETSC_ERR_PLIB,"PCHPDDMGetSTShareSubKSP() should not return PETSC_TRUE");
125 }
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 8 PetscCall(VecDestroy(&b));
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 8 PetscCall(KSPDestroy(&ksp));
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 8 PetscCall(MatDestroy(&A));
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 8 PetscCall(SlepcFinalize());
130 return 0;
131 }
132
133 /*TEST
134
135 build:
136 requires: hpddm
137
138 test:
139 requires: double !complex !defined(PETSC_USE_64BIT_INDICES) defined(PETSC_HAVE_DYNAMIC_LIBRARIES)
140 nsize: 4
141 filter: grep -v " total: nonzeros=" | grep -v " rows=" | grep -v " factor fill ratio given " | grep -v " using I-node" | sed -e "s/Linear solve converged due to CONVERGED_RTOL iterations 5/Linear solve converged due to CONVERGED_RTOL iterations 4/g" -e "s/amount of overlap = 1/user-defined overlap/g"
142 # similar output as ex76 with -pc_hpddm_levels_eps_nev val instead of just -eps_nev val
143 args: -ksp_rtol 1e-3 -ksp_max_it 10 -ksp_error_if_not_converged -ksp_converged_reason -ksp_view -ksp_type hpddm -pc_type hpddm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_define_subdomains {{false true}shared output} -pc_hpddm_levels_1_pc_type asm -pc_hpddm_levels_1_sub_pc_type lu -pc_hpddm_levels_1_st_share_sub_ksp -eps_nev 10 -load_dir ${DATAFILESPATH}/matrices/hpddm/GENEO -matload_block_size 2
144
145 TEST*/
146