Actual source code: test5.c

slepc-3.15.0 2021-03-31
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  1: /*
  2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
  4:    Copyright (c) 2002-2021, Universitat Politecnica de Valencia, Spain

  6:    This file is part of SLEPc.
  7:    SLEPc is distributed under a 2-clause BSD license (see LICENSE).
  8:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
  9: */

 11: static char help[] = "Test SVD view and monitor functionality.\n\n";

 13: #include <slepcsvd.h>

 15: int main(int argc,char **argv)
 16: {
 17:   Mat            A;
 18:   SVD            svd;
 19:   PetscReal      *sigma,sval;
 20:   PetscInt       n=6,Istart,Iend,i,nconv;
 21:   PetscBool      checkfile;
 22:   char           filename[PETSC_MAX_PATH_LEN];
 23:   PetscViewer    viewer;

 26:   SlepcInitialize(&argc,&argv,(char*)0,help);if (ierr) return ierr;
 27:   PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);
 28:   PetscPrintf(PETSC_COMM_WORLD,"\nSVD of diagonal matrix, n=%D\n\n",n);

 30:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 31:         Generate the matrix
 32:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 33:   MatCreate(PETSC_COMM_WORLD,&A);
 34:   MatSetSizes(A,PETSC_DECIDE,PETSC_DECIDE,n,n);
 35:   MatSetFromOptions(A);
 36:   MatSetUp(A);
 37:   MatGetOwnershipRange(A,&Istart,&Iend);
 38:   for (i=Istart;i<Iend;i++) {
 39:     MatSetValue(A,i,i,i+1,INSERT_VALUES);
 40:   }
 41:   MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);
 42:   MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);

 44:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 45:                      Create the SVD solver
 46:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 47:   SVDCreate(PETSC_COMM_WORLD,&svd);
 48:   PetscObjectSetName((PetscObject)svd,"svd");
 49:   SVDSetOperators(svd,A,NULL);
 50:   SVDSetFromOptions(svd);

 52:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 53:                 Compute the singular triplets and display solution
 54:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 55:   SVDSolve(svd);
 56:   SVDErrorView(svd,SVD_ERROR_RELATIVE,NULL);

 58:   /* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
 59:                    Check file containing the singular values
 60:      - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - */
 61:   PetscOptionsGetString(NULL,NULL,"-checkfile",filename,sizeof(filename),&checkfile);
 62:   if (checkfile) {
 63:     SVDGetConverged(svd,&nconv);
 64:     PetscMalloc1(nconv,&sigma);
 65:     PetscViewerBinaryOpen(PETSC_COMM_WORLD,filename,FILE_MODE_READ,&viewer);
 66:     PetscViewerBinaryRead(viewer,sigma,nconv,NULL,PETSC_REAL);
 67:     PetscViewerDestroy(&viewer);
 68:     for (i=0;i<nconv;i++) {
 69:       SVDGetSingularTriplet(svd,i,&sval,NULL,NULL);
 70:       if (sval!=sigma[i]) SETERRQ(PETSC_COMM_WORLD,1,"Singular values in the file do not match");
 71:     }
 72:     PetscFree(sigma);
 73:   }

 75:   SVDDestroy(&svd);
 76:   MatDestroy(&A);
 77:   SlepcFinalize();
 78:   return ierr;
 79: }

 81: /*TEST

 83:    test:
 84:       suffix: 1
 85:       args: -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
 86:       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"
 87:       requires: !single

 89:    test:
 90:       suffix: 2
 91:       args: -svd_nsv 4 -svd_view_values binary:myvalues.bin -checkfile myvalues.bin
 92:       requires: double

 94:    test:
 95:       suffix: 3
 96:       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
 97:       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"
 98:       requires: !single

100:    test:
101:       suffix: 4
102:       args: -svd_monitor draw::draw_lg -svd_monitor_all draw::draw_lg -svd_view_values draw -draw_save mysingu.ppm -draw_virtual
103:       requires: !single

105: TEST*/