mat/utils/gcreate.c

#include <private/matimpl.h>       /*I "petscmat.h"  I*/

#if 0
#undef __FUNCT__
#define __FUNCT__ "MatPublish_Base"
static PetscErrorCode MatPublish_Base(PetscObject obj)
{
  PetscFunctionBegin;
  PetscFunctionReturn(0);
}
#endif

#undef __FUNCT__
#define __FUNCT__ "MatCreate"
/*@
   MatCreate - Creates a matrix where the type is determined
   from either a call to MatSetType() or from the options database
   with a call to MatSetFromOptions(). The default matrix type is
   AIJ, using the routines MatCreateSeqAIJ() or MatCreateAIJ()
   if you do not set a type in the options database. If you never
   call MatSetType() or MatSetFromOptions() it will generate an
   error when you try to use the matrix.

   Collective on MPI_Comm

   Input Parameter:
.  comm - MPI communicator

   Output Parameter:
.  A - the matrix

   Options Database Keys:
+    -mat_type seqaij   - AIJ type, uses MatCreateSeqAIJ()
.    -mat_type mpiaij   - AIJ type, uses MatCreateAIJ()
.    -mat_type seqdense - dense type, uses MatCreateSeqDense()
.    -mat_type mpidense - dense type, uses MatCreateDense()
.    -mat_type seqbaij  - block AIJ type, uses MatCreateSeqBAIJ()
-    -mat_type mpibaij  - block AIJ type, uses MatCreateBAIJ()

   Even More Options Database Keys:
   See the manpages for particular formats (e.g., MatCreateSeqAIJ())
   for additional format-specific options.

   Notes:

   Level: beginner

   User manual sections:
+   sec_matcreate
-   chapter_matrices

.keywords: matrix, create

.seealso: MatCreateSeqAIJ(), MatCreateAIJ(),
          MatCreateSeqDense(), MatCreateDense(),
          MatCreateSeqBAIJ(), MatCreateBAIJ(),
          MatCreateSeqSBAIJ(), MatCreateSBAIJ(),
          MatConvert()
@*/
PetscErrorCode  MatCreate(MPI_Comm comm,Mat *A)
{
  Mat            B;
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidPointer(A,2);

  *A = PETSC_NULL;
#ifndef PETSC_USE_DYNAMIC_LIBRARIES
  ierr = MatInitializePackage(PETSC_NULL);CHKERRQ(ierr);
#endif

  ierr = PetscHeaderCreate(B,_p_Mat,struct _MatOps,MAT_CLASSID,0,"Mat","Matrix","Mat",comm,MatDestroy,MatView);CHKERRQ(ierr);
  ierr = PetscLayoutCreate(comm,&B->rmap);CHKERRQ(ierr);
  ierr = PetscLayoutCreate(comm,&B->cmap);CHKERRQ(ierr);
  B->preallocated  = PETSC_FALSE;
  *A               = B;
  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSetSizes"
/*@
  MatSetSizes - Sets the local and global sizes, and checks to determine compatibility

  Collective on Mat

  Input Parameters:
+  A - the matrix
.  m - number of local rows (or PETSC_DECIDE)
.  n - number of local columns (or PETSC_DECIDE)
.  M - number of global rows (or PETSC_DETERMINE)
-  N - number of global columns (or PETSC_DETERMINE)

   Notes:
   m (n) and M (N) cannot be both PETSC_DECIDE
   If one processor calls this with M (N) of PETSC_DECIDE then all processors must, otherwise the program will hang.

   If PETSC_DECIDE is not used for the arguments 'm' and 'n', then the
   user must ensure that they are chosen to be compatible with the
   vectors. To do this, one first considers the matrix-vector product
   'y = A x'. The 'm' that is used in the above routine must match the
   local size used in the vector creation routine VecCreateMPI() for 'y'.
   Likewise, the 'n' used must match that used as the local size in
   VecCreateMPI() for 'x'.

  Level: beginner

.seealso: MatGetSize(), PetscSplitOwnership()
@*/
PetscErrorCode  MatSetSizes(Mat A, PetscInt m, PetscInt n, PetscInt M, PetscInt N)
{
  PetscErrorCode ierr;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(A,MAT_CLASSID,1);
  if (M > 0 && m > M) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Local column size %D cannot be larger than global column size %D",m,M);
  if (N > 0 && n > N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Local row size %D cannot be larger than global row size %D",n,N);
  if (A->ops->setsizes) {
    /* Since this will not be set until the type has been set, this will NOT be called on the initial
       call of MatSetSizes() (which must be called BEFORE MatSetType() */
    ierr = (*A->ops->setsizes)(A,m,n,M,N);CHKERRQ(ierr);
  } else {
    if ((A->rmap->n >= 0 || A->rmap->N >= 0) && (A->rmap->n != m || A->rmap->N != M)) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change/reset row sizes to %D local %D global after previously setting them to %D local %D global",m,M,A->rmap->n,A->rmap->N);
    if ((A->cmap->n >= 0 || A->cmap->N >= 0) && (A->cmap->n != n || A->cmap->N != N)) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change/reset column sizes to %D local %D global after previously setting them to %D local %D global",n,N,A->cmap->n,A->cmap->N);
  }
  A->rmap->n = m;
  A->cmap->n = n;
  A->rmap->N = M;
  A->cmap->N = N;

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatSetFromOptions"
/*@
   MatSetFromOptions - Creates a matrix where the type is determined
   from the options database. Generates a parallel MPI matrix if the
   communicator has more than one processor.  The default matrix type is
   AIJ, using the routines MatCreateSeqAIJ() and MatCreateAIJ() if
   you do not select a type in the options database.

   Collective on Mat

   Input Parameter:
.  A - the matrix

   Options Database Keys:
+    -mat_type seqaij   - AIJ type, uses MatCreateSeqAIJ()
.    -mat_type mpiaij   - AIJ type, uses MatCreateAIJ()
.    -mat_type seqdense - dense type, uses MatCreateSeqDense()
.    -mat_type mpidense - dense type, uses MatCreateDense()
.    -mat_type seqbaij  - block AIJ type, uses MatCreateSeqBAIJ()
-    -mat_type mpibaij  - block AIJ type, uses MatCreateBAIJ()

   Even More Options Database Keys:
   See the manpages for particular formats (e.g., MatCreateSeqAIJ())
   for additional format-specific options.

   Level: beginner

.keywords: matrix, create

.seealso: MatCreateSeqAIJ((), MatCreateAIJ(),
          MatCreateSeqDense(), MatCreateDense(),
          MatCreateSeqBAIJ(), MatCreateBAIJ(),
          MatCreateSeqSBAIJ(), MatCreateSBAIJ(),
          MatConvert()
@*/
PetscErrorCode  MatSetFromOptions(Mat B)
{
  PetscErrorCode ierr;
  const char     *deft = MATAIJ;
  char           type[256];
  PetscBool      flg,set;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(B,MAT_CLASSID,1);

  ierr = PetscObjectOptionsBegin((PetscObject)B);CHKERRQ(ierr);
    ierr = PetscOptionsList("-mat_type","Matrix type","MatSetType",MatList,deft,type,256,&flg);CHKERRQ(ierr);
    if (flg) {
      ierr = MatSetType(B,type);CHKERRQ(ierr);
    } else if (!((PetscObject)B)->type_name) {
      ierr = MatSetType(B,deft);CHKERRQ(ierr);
    }

    if (B->ops->setfromoptions) {
      ierr = (*B->ops->setfromoptions)(B);CHKERRQ(ierr);
    }

    flg = PETSC_FALSE;
    ierr = PetscOptionsBool("-mat_new_nonzero_location_err","Generate an error if new nonzeros are created in the matrix structure (useful to test preallocation)","MatSetOption",flg,&flg,&set);CHKERRQ(ierr);
    if (set) {ierr = MatSetOption(B,MAT_NEW_NONZERO_LOCATION_ERR,flg);CHKERRQ(ierr);}
    flg = PETSC_FALSE;
    ierr = PetscOptionsBool("-mat_new_nonzero_allocation_err","Generate an error if new nonzeros are allocated in the matrix structure (useful to test preallocation)","MatSetOption",flg,&flg,&set);CHKERRQ(ierr);
    if (set) {ierr = MatSetOption(B,MAT_NEW_NONZERO_ALLOCATION_ERR,flg);CHKERRQ(ierr);}

    /* process any options handlers added with PetscObjectAddOptionsHandler() */
    ierr = PetscObjectProcessOptionsHandlers((PetscObject)B);CHKERRQ(ierr);
  ierr = PetscOptionsEnd();CHKERRQ(ierr);

  PetscFunctionReturn(0);
}

#undef __FUNCT__
#define __FUNCT__ "MatXAIJSetPreallocation"
/*@
   MatXAIJSetPreallocation - set preallocation for serial and parallel AIJ, BAIJ, and SBAIJ matrices

   Collective on Mat

   Input Arguments:
+  A - matrix being preallocated
.  bs - block size
.  dnnz - number of nonzero blocks per block row of diagonal part of parallel matrix
.  onnz - number of nonzero blocks per block row of off-diagonal part of parallel matrix
.  dnnzu - number of nonzero blocks per block row of upper-triangular part of diagonal part of parallel matrix
-  onnzu - number of nonzero blocks per block row of upper-triangular part of off-diagonal part of parallel matrix

   Level: beginner

.seealso: MatSeqAIJSetPreallocation(), MatMPIAIJSetPreallocation(), MatSeqBAIJSetPreallocation(), MatMPIBAIJSetPreallocation(), MatSeqSBAIJSetPreallocation(), MatMPISBAIJSetPreallocation()
@*/
PetscErrorCode MatXAIJSetPreallocation(Mat A,PetscInt bs,const PetscInt *dnnz,const PetscInt *onnz,const PetscInt *dnnzu,const PetscInt *onnzu)
{
  PetscErrorCode ierr;
  void (*aij)(void);

  PetscFunctionBegin;
  ierr = MatSeqBAIJSetPreallocation(A,bs,0,dnnz);CHKERRQ(ierr);
  ierr = MatMPIBAIJSetPreallocation(A,bs,0,dnnz,0,onnz);CHKERRQ(ierr);
  ierr = MatSeqSBAIJSetPreallocation(A,bs,0,dnnzu);CHKERRQ(ierr);
  ierr = MatMPISBAIJSetPreallocation(A,bs,0,dnnzu,0,onnzu);CHKERRQ(ierr);
  /*
    In general, we have to do extra work to preallocate for scalar (AIJ) matrices so we check whether it will do any
    good before going on with it.
  */
  ierr = PetscObjectQueryFunction((PetscObject)A,"MatMPIAIJSetPreallocation_C",&aij);CHKERRQ(ierr);
  if (!aij) {
    ierr = PetscObjectQueryFunction((PetscObject)A,"MatSeqAIJSetPreallocation_C",&aij);CHKERRQ(ierr);
  }
  if (aij) {
    if (bs == 1) {
      ierr = MatSeqAIJSetPreallocation(A,0,dnnz);CHKERRQ(ierr);
      ierr = MatMPIAIJSetPreallocation(A,0,dnnz,0,onnz);CHKERRQ(ierr);
    } else {                    /* Convert block-row precallocation to scalar-row */
      PetscInt i,m,*sdnnz,*sonnz;
      ierr = MatGetLocalSize(A,&m,PETSC_NULL);CHKERRQ(ierr);
      ierr = PetscMalloc2((!!dnnz)*m*bs,PetscInt,&sdnnz,(!!onnz)*m*bs,PetscInt,&sonnz);CHKERRQ(ierr);
      for (i=0; i<m*bs; i++) {
        if (dnnz) sdnnz[i] = dnnz[i/bs] * bs;
        if (onnz) sonnz[i] = onnz[i/bs] * bs;
      }
      ierr = MatSeqAIJSetPreallocation(A,0,dnnz?sdnnz:PETSC_NULL);CHKERRQ(ierr);
      ierr = MatMPIAIJSetPreallocation(A,0,dnnz?sdnnz:PETSC_NULL,0,onnz?sonnz:PETSC_NULL);CHKERRQ(ierr);
      ierr = PetscFree2(sdnnz,sonnz);CHKERRQ(ierr);
    }
  }
  ierr = MatSetBlockSize(A,bs);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}

/*
        Merges some information from Cs header to A; the C object is then destroyed

        This is somewhat different from MatHeaderReplace() it would be nice to merge the code
*/
#undef __FUNCT__
#define __FUNCT__ "MatHeaderMerge"
PetscErrorCode MatHeaderMerge(Mat A,Mat C)
{
  PetscErrorCode         ierr;
  PetscInt               refct;
  PetscOps               *Abops;
  MatOps                 Aops;
  char                   *mtype,*mname;
  void                   *spptr;

  PetscFunctionBegin;
  /* save the parts of A we need */
  Abops = ((PetscObject)A)->bops;
  Aops  = A->ops;
  refct = ((PetscObject)A)->refct;
  mtype = ((PetscObject)A)->type_name;
  mname = ((PetscObject)A)->name;
  spptr = A->spptr;

  /* zero these so the destroy below does not free them */
  ((PetscObject)A)->type_name = 0;
  ((PetscObject)A)->name      = 0;

  /* free all the interior data structures from mat */
  ierr = (*A->ops->destroy)(A);CHKERRQ(ierr);

  ierr = PetscFree(C->spptr);CHKERRQ(ierr);

  ierr = PetscLayoutDestroy(&A->rmap);CHKERRQ(ierr);
  ierr = PetscLayoutDestroy(&A->cmap);CHKERRQ(ierr);
  ierr = PetscFListDestroy(&((PetscObject)A)->qlist);CHKERRQ(ierr);
  ierr = PetscOListDestroy(&((PetscObject)A)->olist);CHKERRQ(ierr);

  /* copy C over to A */
  ierr  = PetscMemcpy(A,C,sizeof(struct _p_Mat));CHKERRQ(ierr);

  /* return the parts of A we saved */
  ((PetscObject)A)->bops      = Abops;
  A->ops                      = Aops;
  ((PetscObject)A)->refct     = refct;
  ((PetscObject)A)->type_name = mtype;
  ((PetscObject)A)->name      = mname;
  A->spptr                    = spptr;

  /* since these two are copied into A we do not want them destroyed in C */
  ((PetscObject)C)->qlist = 0;
  ((PetscObject)C)->olist = 0;
  ierr = PetscHeaderDestroy(&C);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}
/*
        Replace A's header with that of C; the C object is then destroyed

        This is essentially code moved from MatDestroy()

        This is somewhat different from MatHeaderMerge() it would be nice to merge the code
*/
#undef __FUNCT__
#define __FUNCT__ "MatHeaderReplace"
PetscErrorCode MatHeaderReplace(Mat A,Mat C)
{
  PetscErrorCode ierr;
  PetscInt refct;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(A,MAT_CLASSID,1);
  PetscValidHeaderSpecific(C,MAT_CLASSID,2);
  if (A == C) PetscFunctionReturn(0);
  PetscCheckSameComm(A,1,C,2);
  if (((PetscObject)C)->refct != 1) SETERRQ1(((PetscObject)C)->comm,PETSC_ERR_ARG_WRONGSTATE,"Object C has refct %D > 1, would leave hanging reference",((PetscObject)C)->refct);

  /* free all the interior data structures from mat */
  ierr = (*A->ops->destroy)(A);CHKERRQ(ierr);
  ierr = PetscHeaderDestroy_Private((PetscObject)A);CHKERRQ(ierr);
  ierr = PetscFree(A->ops);CHKERRQ(ierr);
  ierr = PetscLayoutDestroy(&A->rmap);CHKERRQ(ierr);
  ierr = PetscLayoutDestroy(&A->cmap);CHKERRQ(ierr);
  ierr = PetscFree(A->spptr);CHKERRQ(ierr);

  /* copy C over to A */
  refct = ((PetscObject)A)->refct;
  ierr = PetscMemcpy(A,C,sizeof(struct _p_Mat));CHKERRQ(ierr);
  ((PetscObject)A)->refct = refct;
  ierr = PetscLogObjectDestroy((PetscObject)C);CHKERRQ(ierr);
  ierr = PetscFree(C);CHKERRQ(ierr);
  PetscFunctionReturn(0);
}