On Mon, Sep 1, 2014 at 8:44 AM, Florian Lindner <[email protected]> wrote:
> Am 01.09.2014 12:45, schrieb Matthew Knepley: > >> On Mon, Sep 1, 2014 at 4:10 AM, Florian Lindner <[email protected]> >> wrote: >> >> Hello, >>> >>> I want to set the entire column of a N x M matrix to a N vector. What is >>> the best way to do that? >>> >>> My first guess would be to VecGetArray and use that array for >>> MatSetValuesLocal with nrow = VecGetLocalSize. What is the best to say >>> MatSetValuesLocal that I want to set all rows continuesly (same like >>> passing irow = [0, 1, ..., VecGetLocalSize-1]? >>> >>> Any better way? >>> >>> >> You are assuming dense storage above, so you can use >> >> >> http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages/Mat/ >> MatDenseGetArray.html+ >> > > How can you tell that I'm assuming dense storage. My matrix is actually > dense, but I try to write my code as generic as possible (being a very > petsc newbie). I have that code which crashes at the moment: > I recommend running using the debugger so you can get a stack trace, and perhaps see exactly what the problem is. You can also run under valgrind as the error says. Matt > void set_column_vector(Vector v, int col) > { > PetscErrorCode ierr = 0; > const PetscScalar *vec; > PetscInt size, mat_rows, mat_cols; > VecGetLocalSize(v.vector, &size); > cout << "Vector Size = " << size << endl; > > MatGetSize(matrix, &mat_rows, &mat_cols); > cout << "Matrix Rows = " << mat_rows << " Columns = " << mat_cols > << endl; > PetscInt irow[size]; > for (int i = 0; i < size; i++) { > irow[i] = i; > } > > ierr = VecGetArrayRead(v.vector, &vec); CHKERRV(ierr); > ierr = MatSetValuesLocal(matrix, size-1, irow, 1, &col, vec, > INSERT_VALUES); CHKERRV(ierr); > ierr = VecRestoreArrayRead(v.vector, &vec); CHKERRV(ierr); > ierr = MatAssemblyBegin(matrix, MAT_FINAL_ASSEMBLY); CHKERRV(ierr); > ierr = MatAssemblyEnd(matrix, MAT_FINAL_ASSEMBLY); CHKERRV(ierr); > } > > v.vector is a Vec, matrix is a Mat. col = 1. It's compiled with mpic++, > but started without, just ./a.out. Output is: > > Vector Size = 20 > Matrix Rows = 20 Columns = 5 > [0]PETSC ERROR: ------------------------------ > ------------------------------------------ > [0]PETSC ERROR: Caught signal number 11 SEGV: Segmentation Violation, > probably memory access out of range > [0]PETSC ERROR: Try option -start_in_debugger or -on_error_attach_debugger > [0]PETSC ERROR: or see http://www.mcs.anl.gov/petsc/ > documentation/faq.html#valgrind[0]PETSC ERROR: or try http://valgrind.org > on GNU/linux and Apple Mac OS X to find memory corruption errors > [0]PETSC ERROR: likely location of problem given in stack below > [0]PETSC ERROR: --------------------- Stack Frames > ------------------------------------ > [0]PETSC ERROR: Note: The EXACT line numbers in the stack are not > available, > [0]PETSC ERROR: INSTEAD the line number of the start of the function > [0]PETSC ERROR: is given. > [0]PETSC ERROR: [0] MatSetValuesLocal line 1950 > /home/florian/software/petsc/src/mat/interface/matrix.c > [0]PETSC ERROR: --------------------- Error Message > -------------------------------------------------------------- > [0]PETSC ERROR: Signal received > [0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html > for trouble shooting. > [0]PETSC ERROR: Petsc Release Version 3.5.1, unknown > [0]PETSC ERROR: ./a.out on a arch-linux2-c-debug named asaru by florian > Mon Sep 1 15:37:32 2014 > [0]PETSC ERROR: Configure options --with-c2html=0 > [0]PETSC ERROR: #1 User provided function() line 0 in unknown file > -------------------------------------------------------------------------- > MPI_ABORT was invoked on rank 0 in communicator MPI_COMM_WORLD > with errorcode 59. > > NOTE: invoking MPI_ABORT causes Open MPI to kill all MPI processes. > You may or may not see output from other processes, depending on > exactly when Open MPI kills them. > -------------------------------------------------------------------------- > > > Any idea what the problem is? > > Thanks! > Florian > -- What most experimenters take for granted before they begin their experiments is infinitely more interesting than any results to which their experiments lead. -- Norbert Wiener
