Date: 2021-03-03T22:26:40+00:00

Actual source code: gcreate.c
petsc-3.14.5 2021-03-03
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      2: #include <petsc/private/matimpl.h>

      4: PETSC_INTERN PetscErrorCode MatSetBlockSizes_Default(Mat mat,PetscInt rbs, PetscInt cbs)
      5: {
      7:   if (!mat->preallocated) return(0);
      8:   if (mat->rmap->bs > 0 && mat->rmap->bs != rbs) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot change row block size %D to %D\n",mat->rmap->bs,rbs);
      9:   if (mat->cmap->bs > 0 && mat->cmap->bs != cbs) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot change column block size %D to %D\n",mat->cmap->bs,cbs);
     10:   return(0);
     11: }

     13: PETSC_INTERN PetscErrorCode MatShift_Basic(Mat Y,PetscScalar a)
     14: {
     16:   PetscInt       i,start,end;
     17:   PetscScalar    alpha = a;
     18:   PetscBool      prevoption;

     21:   MatGetOption(Y,MAT_NO_OFF_PROC_ENTRIES,&prevoption);
     22:   MatSetOption(Y,MAT_NO_OFF_PROC_ENTRIES,PETSC_TRUE);
     23:   MatGetOwnershipRange(Y,&start,&end);
     24:   for (i=start; i<end; i++) {
     25:     if (i < Y->cmap->N) {
     26:       MatSetValues(Y,1,&i,1,&i,&alpha,ADD_VALUES);
     27:     }
     28:   }
     29:   MatAssemblyBegin(Y,MAT_FINAL_ASSEMBLY);
     30:   MatAssemblyEnd(Y,MAT_FINAL_ASSEMBLY);
     31:   MatSetOption(Y,MAT_NO_OFF_PROC_ENTRIES,prevoption);
     32:   return(0);
     33: }

     35: /*@
     36:    MatCreate - Creates a matrix where the type is determined
     37:    from either a call to MatSetType() or from the options database
     38:    with a call to MatSetFromOptions(). The default matrix type is
     39:    AIJ, using the routines MatCreateSeqAIJ() or MatCreateAIJ()
     40:    if you do not set a type in the options database. If you never
     41:    call MatSetType() or MatSetFromOptions() it will generate an
     42:    error when you try to use the matrix.

     44:    Collective

     46:    Input Parameter:
     47: .  comm - MPI communicator

     49:    Output Parameter:
     50: .  A - the matrix

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

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

     64:    Level: beginner

     66: .seealso: MatCreateSeqAIJ(), MatCreateAIJ(),
     67:           MatCreateSeqDense(), MatCreateDense(),
     68:           MatCreateSeqBAIJ(), MatCreateBAIJ(),
     69:           MatCreateSeqSBAIJ(), MatCreateSBAIJ(),
     70:           MatConvert()
     71: @*/
     72: PetscErrorCode  MatCreate(MPI_Comm comm,Mat *A)
     73: {
     74:   Mat            B;

     80:   *A = NULL;
     81:   MatInitializePackage();

     83:   PetscHeaderCreate(B,MAT_CLASSID,"Mat","Matrix","Mat",comm,MatDestroy,MatView);
     84:   PetscLayoutCreate(comm,&B->rmap);
     85:   PetscLayoutCreate(comm,&B->cmap);
     86:   PetscStrallocpy(VECSTANDARD,&B->defaultvectype);

     88:   B->congruentlayouts = PETSC_DECIDE;
     89:   B->preallocated     = PETSC_FALSE;
     90:   *A                  = B;
     91:   return(0);
     92: }

     94: /*@
     95:    MatSetErrorIfFailure - Causes Mat to generate an error, for example a zero pivot, is detected.

     97:    Logically Collective on Mat

     99:    Input Parameters:
    100: +  mat -  matrix obtained from MatCreate()
    101: -  flg - PETSC_TRUE indicates you want the error generated

    103:    Level: advanced

    105: .seealso: PCSetErrorIfFailure()
    106: @*/
    107: PetscErrorCode  MatSetErrorIfFailure(Mat mat,PetscBool flg)
    108: {
    112:   mat->erroriffailure = flg;
    113:   return(0);
    114: }

    116: /*@
    117:   MatSetSizes - Sets the local and global sizes, and checks to determine compatibility

    119:   Collective on Mat

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

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

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

    140:    You cannot change the sizes once they have been set.

    142:    The sizes must be set before MatSetUp() or MatXXXSetPreallocation() is called.

    144:   Level: beginner

    146: .seealso: MatGetSize(), PetscSplitOwnership()
    147: @*/
    148: PetscErrorCode  MatSetSizes(Mat A, PetscInt m, PetscInt n, PetscInt M, PetscInt N)
    149: {
    154:   if (M > 0 && m > M) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Local row size %D cannot be larger than global row size %D",m,M);
    155:   if (N > 0 && n > N) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Local column size %D cannot be larger than global column size %D",n,N);
    156:   if ((A->rmap->n >= 0 && A->rmap->N >= 0) && (A->rmap->n != m || (M > 0 && 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);
    157:   if ((A->cmap->n >= 0 && A->cmap->N >= 0) && (A->cmap->n != n || (N > 0 && 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);
    158:   A->rmap->n = m;
    159:   A->cmap->n = n;
    160:   A->rmap->N = M > -1 ? M : A->rmap->N;
    161:   A->cmap->N = N > -1 ? N : A->cmap->N;
    162:   return(0);
    163: }

    165: /*@
    166:    MatSetFromOptions - Creates a matrix where the type is determined
    167:    from the options database. Generates a parallel MPI matrix if the
    168:    communicator has more than one processor.  The default matrix type is
    169:    AIJ, using the routines MatCreateSeqAIJ() and MatCreateAIJ() if
    170:    you do not select a type in the options database.

    172:    Collective on Mat

    174:    Input Parameter:
    175: .  A - the matrix

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

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

    189:    Level: beginner

    191: .seealso: MatCreateSeqAIJ((), MatCreateAIJ(),
    192:           MatCreateSeqDense(), MatCreateDense(),
    193:           MatCreateSeqBAIJ(), MatCreateBAIJ(),
    194:           MatCreateSeqSBAIJ(), MatCreateSBAIJ(),
    195:           MatConvert()
    196: @*/
    197: PetscErrorCode  MatSetFromOptions(Mat B)
    198: {
    200:   const char     *deft = MATAIJ;
    201:   char           type[256];
    202:   PetscBool      flg,set;

    207:   PetscObjectOptionsBegin((PetscObject)B);

    209:   if (B->rmap->bs < 0) {
    210:     PetscInt newbs = -1;
    211:     PetscOptionsInt("-mat_block_size","Set the blocksize used to store the matrix","MatSetBlockSize",newbs,&newbs,&flg);
    212:     if (flg) {
    213:       PetscLayoutSetBlockSize(B->rmap,newbs);
    214:       PetscLayoutSetBlockSize(B->cmap,newbs);
    215:     }
    216:   }

    218:   PetscOptionsFList("-mat_type","Matrix type","MatSetType",MatList,deft,type,256,&flg);
    219:   if (flg) {
    220:     MatSetType(B,type);
    221:   } else if (!((PetscObject)B)->type_name) {
    222:     MatSetType(B,deft);
    223:   }

    225:   PetscOptionsName("-mat_is_symmetric","Checks if mat is symmetric on MatAssemblyEnd()","MatIsSymmetric",&B->checksymmetryonassembly);
    226:   PetscOptionsReal("-mat_is_symmetric","Checks if mat is symmetric on MatAssemblyEnd()","MatIsSymmetric",B->checksymmetrytol,&B->checksymmetrytol,NULL);
    227:   PetscOptionsBool("-mat_null_space_test","Checks if provided null space is correct in MatAssemblyEnd()","MatSetNullSpaceTest",B->checknullspaceonassembly,&B->checknullspaceonassembly,NULL);
    228:   PetscOptionsBool("-mat_error_if_failure","Generate an error if an error occurs when factoring the matrix","MatSetErrorIfFailure",B->erroriffailure,&B->erroriffailure,NULL);

    230:   if (B->ops->setfromoptions) {
    231:     (*B->ops->setfromoptions)(PetscOptionsObject,B);
    232:   }

    234:   flg  = PETSC_FALSE;
    235:   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);
    236:   if (set) {MatSetOption(B,MAT_NEW_NONZERO_LOCATION_ERR,flg);}
    237:   flg  = PETSC_FALSE;
    238:   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);
    239:   if (set) {MatSetOption(B,MAT_NEW_NONZERO_ALLOCATION_ERR,flg);}

    241:   /* process any options handlers added with PetscObjectAddOptionsHandler() */
    242:   PetscObjectProcessOptionsHandlers(PetscOptionsObject,(PetscObject)B);
    243:   PetscOptionsEnd();
    244:   return(0);
    245: }

    247: /*@C
    248:    MatXAIJSetPreallocation - set preallocation for serial and parallel AIJ, BAIJ, and SBAIJ matrices and their unassembled versions.

    250:    Collective on Mat

    252:    Input Arguments:
    253: +  A - matrix being preallocated
    254: .  bs - block size
    255: .  dnnz - number of nonzero column blocks per block row of diagonal part of parallel matrix
    256: .  onnz - number of nonzero column blocks per block row of off-diagonal part of parallel matrix
    257: .  dnnzu - number of nonzero column blocks per block row of upper-triangular part of diagonal part of parallel matrix
    258: -  onnzu - number of nonzero column blocks per block row of upper-triangular part of off-diagonal part of parallel matrix

    260:    Level: beginner

    262: .seealso: MatSeqAIJSetPreallocation(), MatMPIAIJSetPreallocation(), MatSeqBAIJSetPreallocation(), MatMPIBAIJSetPreallocation(), MatSeqSBAIJSetPreallocation(), MatMPISBAIJSetPreallocation(),
    263:           PetscSplitOwnership()
    264: @*/
    265: PetscErrorCode MatXAIJSetPreallocation(Mat A,PetscInt bs,const PetscInt dnnz[],const PetscInt onnz[],const PetscInt dnnzu[],const PetscInt onnzu[])
    266: {
    268:   PetscInt       cbs;
    269:   void           (*aij)(void);
    270:   void           (*is)(void);
    271:   void           (*hyp)(void) = NULL;

    274:   if (bs != PETSC_DECIDE) { /* don't mess with an already set block size */
    275:     MatSetBlockSize(A,bs);
    276:   }
    277:   PetscLayoutSetUp(A->rmap);
    278:   PetscLayoutSetUp(A->cmap);
    279:   MatGetBlockSizes(A,&bs,&cbs);
    280:   /* these routines assumes bs == cbs, this should be checked somehow */
    281:   MatSeqBAIJSetPreallocation(A,bs,0,dnnz);
    282:   MatMPIBAIJSetPreallocation(A,bs,0,dnnz,0,onnz);
    283:   MatSeqSBAIJSetPreallocation(A,bs,0,dnnzu);
    284:   MatMPISBAIJSetPreallocation(A,bs,0,dnnzu,0,onnzu);
    285:   /*
    286:     In general, we have to do extra work to preallocate for scalar (AIJ) or unassembled (IS) matrices so we check whether it will do any
    287:     good before going on with it.
    288:   */
    289:   PetscObjectQueryFunction((PetscObject)A,"MatMPIAIJSetPreallocation_C",&aij);
    290:   PetscObjectQueryFunction((PetscObject)A,"MatISSetPreallocation_C",&is);
    291: #if defined(PETSC_HAVE_HYPRE)
    292:   PetscObjectQueryFunction((PetscObject)A,"MatHYPRESetPreallocation_C",&hyp);
    293: #endif
    294:   if (!aij && !is && !hyp) {
    295:     PetscObjectQueryFunction((PetscObject)A,"MatSeqAIJSetPreallocation_C",&aij);
    296:   }
    297:   if (aij || is || hyp) {
    298:     if (bs == cbs && bs == 1) {
    299:       MatSeqAIJSetPreallocation(A,0,dnnz);
    300:       MatMPIAIJSetPreallocation(A,0,dnnz,0,onnz);
    301:       MatISSetPreallocation(A,0,dnnz,0,onnz);
    302: #if defined(PETSC_HAVE_HYPRE)
    303:       MatHYPRESetPreallocation(A,0,dnnz,0,onnz);
    304: #endif
    305:     } else { /* Convert block-row precallocation to scalar-row */
    306:       PetscInt i,m,*sdnnz,*sonnz;
    307:       MatGetLocalSize(A,&m,NULL);
    308:       PetscMalloc2((!!dnnz)*m,&sdnnz,(!!onnz)*m,&sonnz);
    309:       for (i=0; i<m; i++) {
    310:         if (dnnz) sdnnz[i] = dnnz[i/bs] * cbs;
    311:         if (onnz) sonnz[i] = onnz[i/bs] * cbs;
    312:       }
    313:       MatSeqAIJSetPreallocation(A,0,dnnz ? sdnnz : NULL);
    314:       MatMPIAIJSetPreallocation(A,0,dnnz ? sdnnz : NULL,0,onnz ? sonnz : NULL);
    315:       MatISSetPreallocation(A,0,dnnz ? sdnnz : NULL,0,onnz ? sonnz : NULL);
    316: #if defined(PETSC_HAVE_HYPRE)
    317:       MatHYPRESetPreallocation(A,0,dnnz ? sdnnz : NULL,0,onnz ? sonnz : NULL);
    318: #endif
    319:       PetscFree2(sdnnz,sonnz);
    320:     }
    321:   }
    322:   return(0);
    323: }

    325: /*
    326:         Merges some information from Cs header to A; the C object is then destroyed

    328:         This is somewhat different from MatHeaderReplace() it would be nice to merge the code
    329: */
    330: PetscErrorCode MatHeaderMerge(Mat A,Mat *C)
    331: {
    333:   PetscInt       refct;
    334:   PetscOps       Abops;
    335:   struct _MatOps Aops;
    336:   char           *mtype,*mname,*mprefix;
    337:   Mat_Product    *product;

    342:   if (A == *C) return(0);
    344:   /* save the parts of A we need */
    345:   Abops = ((PetscObject)A)->bops[0];
    346:   Aops  = A->ops[0];
    347:   refct = ((PetscObject)A)->refct;
    348:   mtype = ((PetscObject)A)->type_name;
    349:   mname = ((PetscObject)A)->name;
    350:   mprefix = ((PetscObject)A)->prefix;
    351:   product = A->product;

    353:   /* zero these so the destroy below does not free them */
    354:   ((PetscObject)A)->type_name = NULL;
    355:   ((PetscObject)A)->name      = NULL;

    357:   /* free all the interior data structures from mat */
    358:   (*A->ops->destroy)(A);

    360:   PetscFree(A->defaultvectype);
    361:   PetscLayoutDestroy(&A->rmap);
    362:   PetscLayoutDestroy(&A->cmap);
    363:   PetscFunctionListDestroy(&((PetscObject)A)->qlist);
    364:   PetscObjectListDestroy(&((PetscObject)A)->olist);

    366:   /* copy C over to A */
    367:   PetscMemcpy(A,*C,sizeof(struct _p_Mat));

    369:   /* return the parts of A we saved */
    370:   ((PetscObject)A)->bops[0]   = Abops;
    371:   A->ops[0]                   = Aops;
    372:   ((PetscObject)A)->refct     = refct;
    373:   ((PetscObject)A)->type_name = mtype;
    374:   ((PetscObject)A)->name      = mname;
    375:   ((PetscObject)A)->prefix    = mprefix;
    376:   A->product                  = product;

    378:   /* since these two are copied into A we do not want them destroyed in C */
    379:   ((PetscObject)*C)->qlist = NULL;
    380:   ((PetscObject)*C)->olist = NULL;

    382:   PetscHeaderDestroy(C);
    383:   return(0);
    384: }
    385: /*
    386:         Replace A's header with that of C; the C object is then destroyed

    388:         This is essentially code moved from MatDestroy()

    390:         This is somewhat different from MatHeaderMerge() it would be nice to merge the code

    392:         Used in DM hence is declared PETSC_EXTERN
    393: */
    394: PETSC_EXTERN PetscErrorCode MatHeaderReplace(Mat A,Mat *C)
    395: {
    396:   PetscErrorCode   ierr;
    397:   PetscInt         refct;
    398:   PetscObjectState state;
    399:   struct _p_Mat    buffer;
    400:   MatStencilInfo   stencil;

    405:   if (A == *C) return(0);
    407:   if (((PetscObject)*C)->refct != 1) SETERRQ1(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"Object C has refct %D > 1, would leave hanging reference",((PetscObject)*C)->refct);

    409:   /* swap C and A */
    410:   refct   = ((PetscObject)A)->refct;
    411:   state   = ((PetscObject)A)->state;
    412:   stencil = A->stencil;
    413:   PetscMemcpy(&buffer,A,sizeof(struct _p_Mat));
    414:   PetscMemcpy(A,*C,sizeof(struct _p_Mat));
    415:   PetscMemcpy(*C,&buffer,sizeof(struct _p_Mat));
    416:   ((PetscObject)A)->refct   = refct;
    417:   ((PetscObject)A)->state   = state + 1;
    418:   A->stencil                = stencil;

    420:   ((PetscObject)*C)->refct = 1;
    421:   MatShellSetOperation(*C,MATOP_DESTROY,(void(*)(void))NULL);
    422:   MatDestroy(C);
    423:   return(0);
    424: }

    426: /*@
    427:      MatBindToCPU - marks a matrix to temporarily stay on the CPU and perform computations on the CPU

    429:    Input Parameters:
    430: +   A - the matrix
    431: -   flg - bind to the CPU if value of PETSC_TRUE

    433:    Level: intermediate
    434: @*/
    435: PetscErrorCode MatBindToCPU(Mat A,PetscBool flg)
    436: {
    437: #if defined(PETSC_HAVE_VIENNACL) || defined(PETSC_HAVE_CUDA)

    443:   if (A->boundtocpu == flg) return(0);
    444:   A->boundtocpu = flg;
    445:   if (A->ops->bindtocpu) {
    446:     (*A->ops->bindtocpu)(A,flg);
    447:   }
    448:   return(0);
    449: #else
    453:   return(0);
    454: #endif
    455: }