void PetscSparseStorage::fromGetSpCol( int row, int col,
double A[], int lenA,
int irowA[], int& nnz,
int rowExtent, int& info )
{
double * B = new double[rowExtent];
int * irowB = new int[rowExtent];
int ierr;
int k;
for ( k =0; k < rowExtent; k++ ) {
irowB[k] = k + row;
}
ierr = MatGetValues( M, rowExtent, irowB, 1, &col, B ); assert(ierr == 0);
info = 0; nnz = 0;
for( k = 0; k < rowExtent; k++ ) {
if ( B[k] != 0.0 ) {
if ( nnz < lenA ) {
irowA[nnz] = irowB[k];
A[nnz] = B[k];
nnz++;
} else {
info++;
}
}
}
delete [] irowB;
delete [] B;
}
/*! \brief Get the row i and the colum j of the Matrix
*
* \warning it is slow, consider to get blocks of the matrix
*
* \return the value of the matrix at row i colum j
*
*/
T operator()(id_t i, id_t j)
{
T v;
MatGetValues(mat,1,&i,1,&j,&v);
return v;
}
double PetscMatrix<double>::get(unsigned int m, unsigned int n) const
{
double v = 0.0;
PetscScalar pv;
MatGetValues(matrix, 1, (PetscInt*)&m, 1, (PetscInt*)&n, &pv);
v = pv.real();
return v;
}
void PetscSparseStorage::fromGetDense( int row, int col,
double * A, int lda,
int rowExtent, int colExtent )
{
int ierr;
int k;
#ifndef NDEBUG
{
int m, n;
this->getSize( m, n );
assert( row >= 0 && row + rowExtent <= m );
assert( col >= 0 && col + colExtent <= n );
}
#endif
int * jcol = new int[colExtent];
for ( k = 0; k < colExtent; k++ ) {
jcol[k] = k + col;
}
if( lda == colExtent ) {
int * irow = new int[rowExtent];
for ( k = 0; k < rowExtent; k++ ) {
irow[k] = k + row;
}
ierr = MatGetValues( M, rowExtent, irow, colExtent, jcol, A );
assert(ierr == 0);
delete [] irow;
} else {
int i;
for( i = row; i < row + rowExtent; i++ ) {
ierr = MatGetValues( M, 1, &i, colExtent, jcol,
&A[(i - row)*lda] );
assert(ierr == 0);
}
}
delete [] jcol;
}
static
void
convert_and_check(Mat A)
{
PetscErrorCode ierr(0);
PetscInt lo, hi;
Mat B;
ierr = MatConvertToDenseGA(A, &B); CHKERRXX(ierr);
ierr = MatGetOwnershipRange(B, &lo, &hi); CHKERRXX(ierr);
for (int i = lo; i < hi; ++i) {
for (int j = lo; j < hi; ++j) {
PetscScalar x;
PetscScalar y;
ierr = MatGetValues(A, 1, &i, 1, &j, &x); CHKERRXX(ierr);
ierr = MatGetValues(B, 1, &i, 1, &j, &y); CHKERRXX(ierr);
BOOST_CHECK_EQUAL(x, y);
}
}
ierr = MatDestroy(&B); CHKERRXX(ierr);
}
double PetscMatTools::GetElement(Mat matrix, PetscInt row, PetscInt col)
{
PetscInt lo, hi;
GetOwnershipRange(matrix, lo, hi);
assert(lo <= row && row < hi);
PetscInt row_as_array[1];
row_as_array[0] = row;
PetscInt col_as_array[1];
col_as_array[0] = col;
double ret_array[1];
MatGetValues(matrix, 1, row_as_array, 1, col_as_array, ret_array);
return ret_array[0];
}
void PetscSparseStorage::fromGetDiagonal( int idiag,
OoqpVector& vec_in )
{
int ierr;
PetscVector & vec = dynamic_cast<PetscVector &>(vec_in);
int low, high;
ierr = VecGetOwnershipRange( vec.pv, &low, &high ); assert( ierr == 0);
double * a;
ierr = VecGetArray( vec.pv, &a ); assert( ierr == 0);
int extent = vec.getLocalSize();
int k;
int kdiag;
for( k = 0; k < extent; k++ ) {
kdiag = k + low + idiag;
ierr = MatGetValues(M, 1 ,&kdiag, 1, &kdiag, &a[k]); assert(ierr == 0);
}
ierr = VecRestoreArray( vec.pv, &a ); assert( ierr == 0);
}
int main(int argc,char **args)
{
Mat A,B;
Vec xx,s1,s2,yy;
PetscErrorCode ierr;
PetscInt m=45,rows[2],cols[2],bs=1,i,row,col,*idx,M;
PetscScalar rval,vals1[4],vals2[4];
PetscRandom rdm;
IS is1,is2;
PetscReal s1norm,s2norm,rnorm,tol = 1.e-4;
PetscTruth flg;
MatFactorInfo info;
PetscInitialize(&argc,&args,(char *)0,help);
/* Test MatSetValues() and MatGetValues() */
ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_block_size",&bs,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetInt(PETSC_NULL,"-mat_size",&m,PETSC_NULL);CHKERRQ(ierr);
M = m*bs;
ierr = MatCreateSeqBAIJ(PETSC_COMM_SELF,bs,M,M,1,PETSC_NULL,&A);CHKERRQ(ierr);
ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,M,M,15,PETSC_NULL,&B);CHKERRQ(ierr);
ierr = PetscRandomCreate(PETSC_COMM_SELF,&rdm);CHKERRQ(ierr);
ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
ierr = VecCreateSeq(PETSC_COMM_SELF,M,&xx);CHKERRQ(ierr);
ierr = VecDuplicate(xx,&s1);CHKERRQ(ierr);
ierr = VecDuplicate(xx,&s2);CHKERRQ(ierr);
ierr = VecDuplicate(xx,&yy);CHKERRQ(ierr);
/* For each row add atleast 15 elements */
for (row=0; row<M; row++) {
for (i=0; i<25*bs; i++) {
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
col = (PetscInt)(PetscRealPart(rval)*M);
ierr = MatSetValues(A,1,&row,1,&col,&rval,INSERT_VALUES);CHKERRQ(ierr);
ierr = MatSetValues(B,1,&row,1,&col,&rval,INSERT_VALUES);CHKERRQ(ierr);
}
}
/* Now set blocks of values */
for (i=0; i<20*bs; i++) {
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
cols[0] = (PetscInt)(PetscRealPart(rval)*M);
vals1[0] = rval;
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
cols[1] = (PetscInt)(PetscRealPart(rval)*M);
vals1[1] = rval;
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
rows[0] = (PetscInt)(PetscRealPart(rval)*M);
vals1[2] = rval;
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
rows[1] = (PetscInt)(PetscRealPart(rval)*M);
vals1[3] = rval;
ierr = MatSetValues(A,2,rows,2,cols,vals1,INSERT_VALUES);CHKERRQ(ierr);
ierr = MatSetValues(B,2,rows,2,cols,vals1,INSERT_VALUES);CHKERRQ(ierr);
}
ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
/* Test MatNorm() */
ierr = MatNorm(A,NORM_FROBENIUS,&s1norm);CHKERRQ(ierr);
ierr = MatNorm(B,NORM_FROBENIUS,&s2norm);CHKERRQ(ierr);
rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
if ( rnorm>tol ) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_FROBENIUS()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
ierr = MatNorm(A,NORM_INFINITY,&s1norm);CHKERRQ(ierr);
ierr = MatNorm(B,NORM_INFINITY,&s2norm);CHKERRQ(ierr);
rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
if ( rnorm>tol ) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_INFINITY()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
ierr = MatNorm(A,NORM_1,&s1norm);CHKERRQ(ierr);
ierr = MatNorm(B,NORM_1,&s2norm);CHKERRQ(ierr);
rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
if ( rnorm>tol ) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatNorm_NORM_1()- NormA=%16.14e NormB=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
/* MatShift() */
rval = 10*s1norm;
ierr = MatShift(A,rval);CHKERRQ(ierr);
ierr = MatShift(B,rval);CHKERRQ(ierr);
/* Test MatTranspose() */
ierr = MatTranspose(A,MAT_REUSE_MATRIX,&A);CHKERRQ(ierr);
ierr = MatTranspose(B,MAT_REUSE_MATRIX,&B);CHKERRQ(ierr);
/* Now do MatGetValues() */
for (i=0; i<30; i++) {
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
cols[0] = (PetscInt)(PetscRealPart(rval)*M);
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
cols[1] = (PetscInt)(PetscRealPart(rval)*M);
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
rows[0] = (PetscInt)(PetscRealPart(rval)*M);
ierr = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
rows[1] = (PetscInt)(PetscRealPart(rval)*M);
ierr = MatGetValues(A,2,rows,2,cols,vals1);CHKERRQ(ierr);
ierr = MatGetValues(B,2,rows,2,cols,vals2);CHKERRQ(ierr);
ierr = PetscMemcmp(vals1,vals2,4*sizeof(PetscScalar),&flg);CHKERRQ(ierr);
if (!flg) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatGetValues bs = %D\n",bs);CHKERRQ(ierr);
}
}
/* Test MatMult(), MatMultAdd() */
for (i=0; i<40; i++) {
ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
ierr = VecSet(s2,0.0);CHKERRQ(ierr);
ierr = MatMult(A,xx,s1);CHKERRQ(ierr);
ierr = MatMultAdd(A,xx,s2,s2);CHKERRQ(ierr);
ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
rnorm = s2norm-s1norm;
if (rnorm<-tol || rnorm>tol) {
ierr = PetscPrintf(PETSC_COMM_SELF,"MatMult not equal to MatMultAdd Norm1=%e Norm2=%e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
}
/* Test MatMult() */
ierr = MatMultEqual(A,B,10,&flg);CHKERRQ(ierr);
if (!flg){
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMult()\n");CHKERRQ(ierr);
}
/* Test MatMultAdd() */
ierr = MatMultAddEqual(A,B,10,&flg);CHKERRQ(ierr);
if (!flg){
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultAdd()\n");CHKERRQ(ierr);
}
/* Test MatMultTranspose() */
ierr = MatMultTransposeEqual(A,B,10,&flg);CHKERRQ(ierr);
if (!flg){
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultTranspose()\n");CHKERRQ(ierr);
}
/* Test MatMultTransposeAdd() */
ierr = MatMultTransposeAddEqual(A,B,10,&flg);CHKERRQ(ierr);
if (!flg){
ierr = PetscPrintf(PETSC_COMM_SELF,"Error: MatMultTransposeAdd()\n");CHKERRQ(ierr);
}
/* Do LUFactor() on both the matrices */
ierr = PetscMalloc(M*sizeof(PetscInt),&idx);CHKERRQ(ierr);
for (i=0; i<M; i++) idx[i] = i;
ierr = ISCreateGeneral(PETSC_COMM_SELF,M,idx,&is1);CHKERRQ(ierr);
ierr = ISCreateGeneral(PETSC_COMM_SELF,M,idx,&is2);CHKERRQ(ierr);
ierr = PetscFree(idx);CHKERRQ(ierr);
ierr = ISSetPermutation(is1);CHKERRQ(ierr);
ierr = ISSetPermutation(is2);CHKERRQ(ierr);
ierr = MatFactorInfoInitialize(&info);CHKERRQ(ierr);
info.fill = 2.0;
info.dtcol = 0.0;
info.zeropivot = 1.e-14;
info.pivotinblocks = 1.0;
ierr = MatLUFactor(B,is1,is2,&info);CHKERRQ(ierr);
ierr = MatLUFactor(A,is1,is2,&info);CHKERRQ(ierr);
/* Test MatSolveAdd() */
for (i=0; i<10; i++) {
ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
ierr = VecSetRandom(yy,rdm);CHKERRQ(ierr);
ierr = MatSolveAdd(B,xx,yy,s2);CHKERRQ(ierr);
ierr = MatSolveAdd(A,xx,yy,s1);CHKERRQ(ierr);
ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
rnorm = s2norm-s1norm;
if (rnorm<-tol || rnorm>tol) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatSolveAdd - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
}
/* Test MatSolveAdd() when x = A'b +x */
for (i=0; i<10; i++) {
ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
ierr = VecSetRandom(s1,rdm);CHKERRQ(ierr);
ierr = VecCopy(s2,s1);CHKERRQ(ierr);
ierr = MatSolveAdd(B,xx,s2,s2);CHKERRQ(ierr);
ierr = MatSolveAdd(A,xx,s1,s1);CHKERRQ(ierr);
ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
rnorm = s2norm-s1norm;
if (rnorm<-tol || rnorm>tol) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatSolveAdd(same) - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
}
/* Test MatSolve() */
for (i=0; i<10; i++) {
ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
ierr = MatSolve(B,xx,s2);CHKERRQ(ierr);
ierr = MatSolve(A,xx,s1);CHKERRQ(ierr);
ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
rnorm = s2norm-s1norm;
if (rnorm<-tol || rnorm>tol) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatSolve - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
}
/* Test MatSolveTranspose() */
if (bs < 8) {
for (i=0; i<10; i++) {
ierr = VecSetRandom(xx,rdm);CHKERRQ(ierr);
ierr = MatSolveTranspose(B,xx,s2);CHKERRQ(ierr);
ierr = MatSolveTranspose(A,xx,s1);CHKERRQ(ierr);
ierr = VecNorm(s1,NORM_2,&s1norm);CHKERRQ(ierr);
ierr = VecNorm(s2,NORM_2,&s2norm);CHKERRQ(ierr);
rnorm = s2norm-s1norm;
if (rnorm<-tol || rnorm>tol) {
ierr = PetscPrintf(PETSC_COMM_SELF,"Error:MatSolveTranspose - Norm1=%16.14e Norm2=%16.14e bs = %D\n",s1norm,s2norm,bs);CHKERRQ(ierr);
}
}
}
ierr = MatDestroy(A);CHKERRQ(ierr);
ierr = MatDestroy(B);CHKERRQ(ierr);
ierr = VecDestroy(xx);CHKERRQ(ierr);
ierr = VecDestroy(s1);CHKERRQ(ierr);
ierr = VecDestroy(s2);CHKERRQ(ierr);
ierr = VecDestroy(yy);CHKERRQ(ierr);
ierr = ISDestroy(is1);CHKERRQ(ierr);
ierr = ISDestroy(is2);CHKERRQ(ierr);
ierr = PetscRandomDestroy(rdm);CHKERRQ(ierr);
ierr = PetscFinalize();CHKERRQ(ierr);
return 0;
}
int main(int argc,char **args)
{
Mat C;
Vec u,b;
PetscErrorCode ierr;
PetscMPIInt size,rank;
PetscInt i,m = 5,N,start,end,M,idx[4];
PetscInt j,nrsub,ncsub,*rsub,*csub,mystart,myend;
PetscBool flg;
PetscScalar one = 1.0,Ke[16],*vals;
PetscReal h,norm;
ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
ierr = PetscOptionsGetInt(NULL,NULL,"-m",&m,NULL);CHKERRQ(ierr);
N = (m+1)*(m+1); /* dimension of matrix */
M = m*m; /* number of elements */
h = 1.0/m; /* mesh width */
ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRQ(ierr);
ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRQ(ierr);
/* Create stiffness matrix */
ierr = MatCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
ierr = MatSetSizes(C,PETSC_DECIDE,PETSC_DECIDE,N,N);CHKERRQ(ierr);
ierr = MatSetFromOptions(C);CHKERRQ(ierr);
ierr = MatSetUp(C);CHKERRQ(ierr);
start = rank*(M/size) + ((M%size) < rank ? (M%size) : rank);
end = start + M/size + ((M%size) > rank);
/* Form the element stiffness for the Laplacian */
ierr = FormElementStiffness(h*h,Ke);CHKERRQ(ierr);
for (i=start; i<end; i++) {
/* location of lower left corner of element */
/* node numbers for the four corners of element */
idx[0] = (m+1)*(i/m) + (i % m);
idx[1] = idx[0]+1; idx[2] = idx[1] + m + 1; idx[3] = idx[2] - 1;
ierr = MatSetValues(C,4,idx,4,idx,Ke,ADD_VALUES);CHKERRQ(ierr);
}
ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
/* Assemble the matrix again */
ierr = MatZeroEntries(C);CHKERRQ(ierr);
for (i=start; i<end; i++) {
/* location of lower left corner of element */
/* node numbers for the four corners of element */
idx[0] = (m+1)*(i/m) + (i % m);
idx[1] = idx[0]+1; idx[2] = idx[1] + m + 1; idx[3] = idx[2] - 1;
ierr = MatSetValues(C,4,idx,4,idx,Ke,ADD_VALUES);CHKERRQ(ierr);
}
ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
/* Create test vectors */
ierr = VecCreate(PETSC_COMM_WORLD,&u);CHKERRQ(ierr);
ierr = VecSetSizes(u,PETSC_DECIDE,N);CHKERRQ(ierr);
ierr = VecSetFromOptions(u);CHKERRQ(ierr);
ierr = VecDuplicate(u,&b);CHKERRQ(ierr);
ierr = VecSet(u,one);CHKERRQ(ierr);
/* Check error */
ierr = MatMult(C,u,b);CHKERRQ(ierr);
ierr = VecNorm(b,NORM_2,&norm);CHKERRQ(ierr);
if (norm > PETSC_SQRT_MACHINE_EPSILON) {
ierr = PetscPrintf(PETSC_COMM_WORLD,"Norm of error b %g should be near 0\n",(double)norm);CHKERRQ(ierr);
}
/* Now test MatGetValues() */
ierr = PetscOptionsHasName(NULL,NULL,"-get_values",&flg);CHKERRQ(ierr);
if (flg) {
ierr = MatGetOwnershipRange(C,&mystart,&myend);CHKERRQ(ierr);
nrsub = myend - mystart; ncsub = 4;
ierr = PetscMalloc1(nrsub*ncsub,&vals);CHKERRQ(ierr);
ierr = PetscMalloc1(nrsub,&rsub);CHKERRQ(ierr);
ierr = PetscMalloc1(ncsub,&csub);CHKERRQ(ierr);
for (i=myend-1; i>=mystart; i--) rsub[myend-i-1] = i;
for (i=0; i<ncsub; i++) csub[i] = 2*(ncsub-i) + mystart;
ierr = MatGetValues(C,nrsub,rsub,ncsub,csub,vals);CHKERRQ(ierr);
ierr = MatView(C,PETSC_VIEWER_STDOUT_WORLD);CHKERRQ(ierr);
ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD,"processor number %d: start=%D, end=%D, mystart=%D, myend=%D\n",rank,start,end,mystart,myend);CHKERRQ(ierr);
for (i=0; i<nrsub; i++) {
for (j=0; j<ncsub; j++) {
if (PetscImaginaryPart(vals[i*ncsub+j]) != 0.0) {
ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD," C[%D, %D] = %g + %g i\n",rsub[i],csub[j],(double)PetscRealPart(vals[i*ncsub+j]),(double)PetscImaginaryPart(vals[i*ncsub+j]));CHKERRQ(ierr);
} else {
ierr = PetscSynchronizedPrintf(PETSC_COMM_WORLD," C[%D, %D] = %g\n",rsub[i],csub[j],(double)PetscRealPart(vals[i*ncsub+j]));CHKERRQ(ierr);
}
}
}
ierr = PetscSynchronizedFlush(PETSC_COMM_WORLD,PETSC_STDOUT);CHKERRQ(ierr);
ierr = PetscFree(rsub);CHKERRQ(ierr);
ierr = PetscFree(csub);CHKERRQ(ierr);
ierr = PetscFree(vals);CHKERRQ(ierr);
}
/* Free data structures */
ierr = VecDestroy(&u);CHKERRQ(ierr);
ierr = VecDestroy(&b);CHKERRQ(ierr);
ierr = MatDestroy(&C);CHKERRQ(ierr);
ierr = PetscFinalize();
return ierr;
}
void PETScLinearSolver::getMatrixValues(PetscInt m, const PetscInt idxm[], PetscInt n, const PetscInt idxn[], PetscScalar v[])
{
MatGetValues(A, m, idxm, n, idxn, v);
}
int main( int argc, char **argv )
{
int ierr,i,j;
char infilename[PETSC_MAX_PATH_LEN]="", temporary[PETSC_MAX_PATH_LEN]="", path[PETSC_MAX_PATH_LEN]="";
PetscViewer viewer;
PetscBool isTail=PETSC_FALSE,isRight=PETSC_FALSE;
Mat mat;
PetscInt idxn[DIM], idxm[DIM], m, n, windowX=0, windowY=0;
PetscScalar values[DIM*DIM];
SlepcInitialize(&argc,&argv,(char*)0,help);
ierr = PetscOptionsGetString(PETSC_NULL,"-file",infilename,PETSC_MAX_PATH_LEN-1,PETSC_NULL);CHKERRQ(ierr);
ierr = PetscOptionsGetBool(PETSC_NULL, "-tail", &isTail, NULL);
ierr = PetscOptionsGetBool(PETSC_NULL, "-right", &isRight, NULL);
ierr = PetscGetWorkingDirectory(path,PETSC_MAX_PATH_LEN);
// concat filename
strcat(temporary, path); strcat(temporary, "/"); strcat(temporary, infilename); strcpy(infilename, temporary);
if ( strcmp(infilename, "") == 0 ){
SETERRQ(PETSC_COMM_WORLD,1,"Specifiy the filename!\nExample call: ./inspectBinary -file matrix.dat");
}
ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,infilename,FILE_MODE_READ,&viewer);CHKERRQ(ierr);
ierr = MatCreate(PETSC_COMM_WORLD,&mat);CHKERRQ(ierr);
ierr = MatSetFromOptions(mat);CHKERRQ(ierr);
ierr = MatLoad(mat,viewer);CHKERRQ(ierr);
ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
MatGetSize(mat,&m,&n);
if ( isTail == PETSC_TRUE ){
windowY = m - DIM;
}
if ( isRight == PETSC_TRUE ){
windowX = n - DIM;
}
for ( i = 0 ; i < DIM ; ++i ){
idxm[i] = i + windowY; idxn[i] = i + windowX;
}
MatGetValues(mat,DIM,idxm,DIM,idxn,values);
ierr = PetscPrintf(PETSC_COMM_WORLD,"Dimension: %d rows x %d columns:\n", m, n);CHKERRQ(ierr);
ierr = PetscPrintf(PETSC_COMM_WORLD,"row index idxm:");CHKERRQ(ierr);
for ( i = 0 ; i < DIM ; ++i ){
ierr = PetscPrintf(PETSC_COMM_WORLD,"%d, ", idxm[i]);CHKERRQ(ierr);
}
ierr = PetscPrintf(PETSC_COMM_WORLD,"\ncol index idxn:");CHKERRQ(ierr);
for ( i = 0 ; i < DIM ; ++i ){
ierr = PetscPrintf(PETSC_COMM_WORLD,"%d, ", idxn[i]);CHKERRQ(ierr);
}
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n\n\n");CHKERRQ(ierr);
for ( i = 0 ; i < DIM ; ++i ){
for ( j = 0 ; j < DIM ; ++j ){
ierr = PetscPrintf(PETSC_COMM_WORLD,"(%2.10e/ %2.10e) ", PetscRealPart(values[i*DIM + j]), PetscImaginaryPart(values[i*DIM + j]) );CHKERRQ(ierr);
}
ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr);
}
ierr = SlepcFinalize();CHKERRQ(ierr);
return 0;
}
std::complex<double> PetscMatrix<std::complex<double> >::get(unsigned int m, unsigned int n) const
{
std::complex<double> v = 0.0;
MatGetValues(matrix, 1, (PetscInt*)&m, 1, (PetscInt*)&n, &v);
return v;
}