Line data Source code
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[] = "Test SVD view and monitor functionality.\n\n";
12 :
13 : #include <slepcsvd.h>
14 :
15 3 : int main(int argc,char **argv)
16 : {
17 3 : Mat A;
18 3 : SVD svd;
19 3 : PetscReal *sigma,sval;
20 3 : PetscInt n=6,Istart,Iend,i,nconv;
21 3 : PetscBool checkfile;
22 3 : char filename[PETSC_MAX_PATH_LEN];
23 3 : PetscViewer viewer;
24 :
25 3 : PetscFunctionBeginUser;
26 3 : PetscCall(SlepcInitialize(&argc,&argv,NULL,help));
27 3 : PetscCall(PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL));
28 3 : PetscCall(PetscPrintf(PETSC_COMM_WORLD,"\nSVD of diagonal matrix, n=%" PetscInt_FMT "\n\n",n));
29 :
30 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
31 : Generate the matrix
32 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
33 3 : PetscCall(MatCreate(PETSC_COMM_WORLD,&A));
34 3 : PetscCall(MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n));
35 3 : PetscCall(MatSetFromOptions(A));
36 3 : PetscCall(MatGetOwnershipRange(A,&Istart,&Iend));
37 21 : for (i=Istart;i<Iend;i++) PetscCall(MatSetValue(A,i,i,i+1,INSERT_VALUES));
38 3 : PetscCall(MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY));
39 3 : PetscCall(MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY));
40 :
41 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
42 : Create the SVD solver
43 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
44 3 : PetscCall(SVDCreate(PETSC_COMM_WORLD,&svd));
45 3 : PetscCall(PetscObjectSetName((PetscObject)svd,"svd"));
46 3 : PetscCall(SVDSetOperators(svd,A,NULL));
47 3 : PetscCall(SVDSetFromOptions(svd));
48 :
49 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
50 : Compute the singular triplets and display solution
51 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
52 3 : PetscCall(SVDSolve(svd));
53 3 : PetscCall(SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL));
54 :
55 : /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
56 : Check file containing the singular values
57 : - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
58 3 : PetscCall(PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile));
59 3 : if (checkfile) {
60 1 : PetscCall(SVDGetConverged(svd,&nconv));
61 1 : PetscCall(PetscMalloc1(nconv,&sigma));
62 1 : PetscCall(PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer));
63 1 : PetscCall(PetscViewerBinaryRead(viewer,sigma,nconv,NULL,PETSC_REAL));
64 1 : PetscCall(PetscViewerDestroy(&viewer));
65 7 : for (i=0;i<nconv;i++) {
66 6 : PetscCall(SVDGetSingularTriplet(svd,i,&sval,NULL,NULL));
67 6 : PetscCheck(sval==sigma[i],PETSC_COMM_WORLD,PETSC_ERR_FILE_UNEXPECTED,"Singular values in the file do not match");
68 : }
69 1 : PetscCall(PetscFree(sigma));
70 : }
71 :
72 3 : PetscCall(SVDDestroy(&svd));
73 3 : PetscCall(MatDestroy(&A));
74 3 : PetscCall(SlepcFinalize());
75 : return 0;
76 : }
77 :
78 : /*TEST
79 :
80 : test:
81 : suffix: 1
82 : args: -svd_error_relative ::ascii_info_detail -svd_view_values -svd_monitor_conv -svd_error_absolute ::ascii_matlab -svd_monitor_all -svd_error_norm ::ascii_info_detail -svd_converged_reason -svd_view
83 : filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/1.999999/2.000000/" | sed -e "s/2.000001/2.000000/" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
84 : requires: !single
85 :
86 : test:
87 : suffix: 2
88 : args: -svd_nsv 4 -svd_view_values binary:myvalues.bin -checkfile myvalues.bin
89 : requires: double
90 :
91 : test:
92 : suffix: 3
93 : args: -svd_type trlanczos -svd_error_relative ::ascii_info_detail -svd_view_values -svd_monitor_conv -svd_error_absolute ::ascii_matlab -svd_monitor_all -svd_converged_reason -svd_view
94 : filter: grep -v "tolerance" | grep -v "problem type" | sed -e "s/1.999999/2.000000/" | sed -e "s/2.000001/2.000000/" | sed -e "s/[0-9]\.[0-9]*e-\([0-9]*\)/removed/g"
95 : requires: !single
96 :
97 : test:
98 : suffix: 4
99 : args: -svd_monitor draw::draw_lg -svd_monitor_all draw::draw_lg -svd_view_values draw -draw_save mysingu.ppm -draw_virtual
100 : requires: x !single
101 :
102 : TEST*/
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