Date: 2021-02-01T14:41:47+00:00

Actual source code: vecs.c
slepc-3.14.2 2021-02-01
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      1: /*
      2:    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
      3:    SLEPc - Scalable Library for Eigenvalue Problem Computations
      4:    Copyright (c) 2002-2020, 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: */
     10: /*
     11:    BV implemented as an array of independent Vecs
     12: */

     14: #include <slepc/private/bvimpl.h>

     16: typedef struct {
     17:   Vec      *V;
     18:   PetscInt vmip;   /* Version of BVMultInPlace:
     19:        0: memory-efficient version, uses VecGetArray (default in CPU)
     20:        1: version that allocates (e-s) work vectors in every call (default in GPU) */
     21: } BV_VECS;

     23: PetscErrorCode BVMult_Vecs(BV Y,PetscScalar alpha,PetscScalar beta,BV X,Mat Q)
     24: {
     26:   BV_VECS        *y = (BV_VECS*)Y->data,*x = (BV_VECS*)X->data;
     27:   PetscScalar    *q,*s=NULL;
     28:   PetscInt       i,j,ldq;

     31:   if (Q) {
     32:     MatGetSize(Q,&ldq,NULL);
     33:     if (alpha!=1.0) {
     34:       BVAllocateWork_Private(Y,X->k-X->l);
     35:       s = Y->work;
     36:     }
     37:     MatDenseGetArray(Q,&q);
     38:     for (j=Y->l;j<Y->k;j++) {
     39:       VecScale(y->V[Y->nc+j],beta);
     40:       if (alpha!=1.0) {
     41:         for (i=X->l;i<X->k;i++) s[i-X->l] = alpha*q[i+j*ldq];
     42:       } else s = q+j*ldq+X->l;
     43:       VecMAXPY(y->V[Y->nc+j],X->k-X->l,s,x->V+X->nc+X->l);
     44:     }
     45:     MatDenseRestoreArray(Q,&q);
     46:   } else {
     47:     for (j=0;j<Y->k-Y->l;j++) {
     48:       VecScale(y->V[Y->nc+Y->l+j],beta);
     49:       VecAXPY(y->V[Y->nc+Y->l+j],alpha,x->V[X->nc+X->l+j]);
     50:     }
     51:   }
     52:   return(0);
     53: }

     55: PetscErrorCode BVMultVec_Vecs(BV X,PetscScalar alpha,PetscScalar beta,Vec y,PetscScalar *q)
     56: {
     58:   BV_VECS        *x = (BV_VECS*)X->data;
     59:   PetscScalar    *s=NULL,*qq=q;
     60:   PetscInt       i;

     63:   if (alpha!=1.0) {
     64:     BVAllocateWork_Private(X,X->k-X->l);
     65:     s = X->work;
     66:   }
     67:   if (!q) { VecGetArray(X->buffer,&qq); }
     68:   VecScale(y,beta);
     69:   if (alpha!=1.0) {
     70:     for (i=0;i<X->k-X->l;i++) s[i] = alpha*qq[i];
     71:   } else s = qq;
     72:   VecMAXPY(y,X->k-X->l,s,x->V+X->nc+X->l);
     73:   if (!q) { VecRestoreArray(X->buffer,&qq); }
     74:   return(0);
     75: }

     77: /*
     78:    BVMultInPlace_Vecs_ME - V(:,s:e-1) = V*Q(:,s:e-1) for regular vectors.

     80:    Memory-efficient version, uses VecGetArray (default in CPU)

     82:    Writing V = [ V1 V2 V3 ] and Q(:,s:e-1) = [ Q1 Q2 Q3 ]', where V2
     83:    corresponds to the columns s:e-1, the computation is done as
     84:                   V2 := V2*Q2 + V1*Q1 + V3*Q3
     85: */
     86: PetscErrorCode BVMultInPlace_Vecs_ME(BV V,Mat Q,PetscInt s,PetscInt e)
     87: {
     89:   BV_VECS        *ctx = (BV_VECS*)V->data;
     90:   PetscScalar    *q;
     91:   PetscInt       i,ldq;

     94:   MatGetSize(Q,&ldq,NULL);
     95:   MatDenseGetArray(Q,&q);
     96:   /* V2 := V2*Q2 */
     97:   BVMultInPlace_Vecs_Private(V,V->n,e-s,ldq,ctx->V+V->nc+s,q+s*ldq+s,PETSC_FALSE);
     98:   /* V2 += V1*Q1 + V3*Q3 */
     99:   for (i=s;i<e;i++) {
    100:     if (s>V->l) {
    101:       VecMAXPY(ctx->V[V->nc+i],s-V->l,q+i*ldq+V->l,ctx->V+V->nc+V->l);
    102:     }
    103:     if (V->k>e) {
    104:       VecMAXPY(ctx->V[V->nc+i],V->k-e,q+i*ldq+e,ctx->V+V->nc+e);
    105:     }
    106:   }
    107:   MatDenseRestoreArray(Q,&q);
    108:   return(0);
    109: }

    111: /*
    112:    BVMultInPlace_Vecs_Alloc - V(:,s:e-1) = V*Q(:,s:e-1) for regular vectors.

    114:    Version that allocates (e-s) work vectors in every call (default in GPU)
    115: */
    116: PetscErrorCode BVMultInPlace_Vecs_Alloc(BV V,Mat Q,PetscInt s,PetscInt e)
    117: {
    119:   BV_VECS        *ctx = (BV_VECS*)V->data;
    120:   PetscScalar    *q;
    121:   PetscInt       i,ldq;
    122:   Vec            *W;

    125:   MatGetSize(Q,&ldq,NULL);
    126:   MatDenseGetArray(Q,&q);
    127:   VecDuplicateVecs(V->t,e-s,&W);
    128:   for (i=s;i<e;i++) {
    129:     VecMAXPY(W[i-s],V->k-V->l,q+i*ldq+V->l,ctx->V+V->nc+V->l);
    130:   }
    131:   for (i=s;i<e;i++) {
    132:     VecCopy(W[i-s],ctx->V[V->nc+i]);
    133:   }
    134:   VecDestroyVecs(e-s,&W);
    135:   MatDenseRestoreArray(Q,&q);
    136:   return(0);
    137: }

    139: /*
    140:    BVMultInPlaceTranspose_Vecs - V(:,s:e-1) = V*Q'(:,s:e-1) for regular vectors.
    141: */
    142: PetscErrorCode BVMultInPlaceTranspose_Vecs(BV V,Mat Q,PetscInt s,PetscInt e)
    143: {
    145:   BV_VECS        *ctx = (BV_VECS*)V->data;
    146:   PetscScalar    *q;
    147:   PetscInt       i,j,ldq,n;

    150:   MatGetSize(Q,&ldq,&n);
    151:   MatDenseGetArray(Q,&q);
    152:   /* V2 := V2*Q2' */
    153:   BVMultInPlace_Vecs_Private(V,V->n,e-s,ldq,ctx->V+V->nc+s,q+s*ldq+s,PETSC_TRUE);
    154:   /* V2 += V1*Q1' + V3*Q3' */
    155:   for (i=s;i<e;i++) {
    156:     for (j=V->l;j<s;j++) {
    157:       VecAXPY(ctx->V[V->nc+i],q[i+j*ldq],ctx->V[V->nc+j]);
    158:     }
    159:     for (j=e;j<n;j++) {
    160:       VecAXPY(ctx->V[V->nc+i],q[i+j*ldq],ctx->V[V->nc+j]);
    161:     }
    162:   }
    163:   MatDenseRestoreArray(Q,&q);
    164:   return(0);
    165: }

    167: PetscErrorCode BVDot_Vecs(BV X,BV Y,Mat M)
    168: {
    170:   BV_VECS        *x = (BV_VECS*)X->data,*y = (BV_VECS*)Y->data;
    171:   PetscScalar    *m;
    172:   PetscInt       j,ldm;

    175:   MatGetSize(M,&ldm,NULL);
    176:   MatDenseGetArray(M,&m);
    177:   for (j=X->l;j<X->k;j++) {
    178:     VecMDot(x->V[X->nc+j],Y->k-Y->l,y->V+Y->nc+Y->l,m+j*ldm+Y->l);
    179:   }
    180:   MatDenseRestoreArray(M,&m);
    181:   return(0);
    182: }

    184: PetscErrorCode BVDotVec_Vecs(BV X,Vec y,PetscScalar *q)
    185: {
    187:   BV_VECS        *x = (BV_VECS*)X->data;
    188:   Vec            z = y;
    189:   PetscScalar    *qq=q;

    192:   if (X->matrix) {
    193:     BV_IPMatMult(X,y);
    194:     z = X->Bx;
    195:   }
    196:   if (!q) { VecGetArray(X->buffer,&qq); }
    197:   VecMDot(z,X->k-X->l,x->V+X->nc+X->l,qq);
    198:   if (!q) { VecRestoreArray(X->buffer,&qq); }
    199:   return(0);
    200: }

    202: PetscErrorCode BVDotVec_Begin_Vecs(BV X,Vec y,PetscScalar *m)
    203: {
    205:   BV_VECS        *x = (BV_VECS*)X->data;
    206:   Vec            z = y;

    209:   if (X->matrix) {
    210:     BV_IPMatMult(X,y);
    211:     z = X->Bx;
    212:   }
    213:   VecMDotBegin(z,X->k-X->l,x->V+X->nc+X->l,m);
    214:   return(0);
    215: }

    217: PetscErrorCode BVDotVec_End_Vecs(BV X,Vec y,PetscScalar *m)
    218: {
    220:   BV_VECS        *x = (BV_VECS*)X->data;

    223:   VecMDotEnd(y,X->k-X->l,x->V+X->nc+X->l,m);
    224:   return(0);
    225: }

    227: PetscErrorCode BVScale_Vecs(BV bv,PetscInt j,PetscScalar alpha)
    228: {
    230:   PetscInt       i;
    231:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    234:   if (j<0) {
    235:     for (i=bv->l;i<bv->k;i++) {
    236:       VecScale(ctx->V[bv->nc+i],alpha);
    237:     }
    238:   } else {
    239:     VecScale(ctx->V[bv->nc+j],alpha);
    240:   }
    241:   return(0);
    242: }

    244: PetscErrorCode BVNorm_Vecs(BV bv,PetscInt j,NormType type,PetscReal *val)
    245: {
    247:   PetscInt       i;
    248:   PetscReal      nrm;
    249:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    252:   if (j<0) {
    253:     if (type==NORM_FROBENIUS) {
    254:       *val = 0.0;
    255:       for (i=bv->l;i<bv->k;i++) {
    256:         VecNorm(ctx->V[bv->nc+i],NORM_2,&nrm);
    257:         *val += nrm*nrm;
    258:       }
    259:       *val = PetscSqrtReal(*val);
    260:     } else SETERRQ(PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not implemented in BVVECS");
    261:   } else {
    262:     VecNorm(ctx->V[bv->nc+j],type,val);
    263:   }
    264:   return(0);
    265: }

    267: PetscErrorCode BVNorm_Begin_Vecs(BV bv,PetscInt j,NormType type,PetscReal *val)
    268: {
    270:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    273:   if (j<0) SETERRQ(PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not implemented in BVVECS");
    274:   else {
    275:     VecNormBegin(ctx->V[bv->nc+j],type,val);
    276:   }
    277:   return(0);
    278: }

    280: PetscErrorCode BVNorm_End_Vecs(BV bv,PetscInt j,NormType type,PetscReal *val)
    281: {
    283:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    286:   if (j<0) SETERRQ(PetscObjectComm((PetscObject)bv),PETSC_ERR_SUP,"Requested norm not implemented in BVVECS");
    287:   else {
    288:     VecNormEnd(ctx->V[bv->nc+j],type,val);
    289:   }
    290:   return(0);
    291: }

    293: PetscErrorCode BVMatMult_Vecs(BV V,Mat A,BV W)
    294: {
    296:   BV_VECS        *v = (BV_VECS*)V->data,*w = (BV_VECS*)W->data;
    297:   PetscInt       j;
    298:   Mat            Vmat,Wmat;

    301:   if (V->vmm) {
    302:     BVGetMat(V,&Vmat);
    303:     BVGetMat(W,&Wmat);
    304:     MatProductCreateWithMat(A,Vmat,NULL,Wmat);
    305:     MatProductSetType(Wmat,MATPRODUCT_AB);
    306:     MatProductSetFromOptions(Wmat);
    307:     MatProductSymbolic(Wmat);
    308:     MatProductNumeric(Wmat);
    309:     MatProductClear(Wmat);
    310:     BVRestoreMat(V,&Vmat);
    311:     BVRestoreMat(W,&Wmat);
    312:   } else {
    313:     for (j=0;j<V->k-V->l;j++) {
    314:       MatMult(A,v->V[V->nc+V->l+j],w->V[W->nc+W->l+j]);
    315:     }
    316:   }
    317:   return(0);
    318: }

    320: PetscErrorCode BVCopy_Vecs(BV V,BV W)
    321: {
    323:   BV_VECS        *v = (BV_VECS*)V->data,*w = (BV_VECS*)W->data;
    324:   PetscInt       j;

    327:   for (j=0;j<V->k-V->l;j++) {
    328:     VecCopy(v->V[V->nc+V->l+j],w->V[W->nc+W->l+j]);
    329:   }
    330:   return(0);
    331: }

    333: PetscErrorCode BVCopyColumn_Vecs(BV V,PetscInt j,PetscInt i)
    334: {
    336:   BV_VECS        *v = (BV_VECS*)V->data;

    339:   VecCopy(v->V[V->nc+j],v->V[V->nc+i]);
    340:   return(0);
    341: }

    343: PetscErrorCode BVResize_Vecs(BV bv,PetscInt m,PetscBool copy)
    344: {
    346:   BV_VECS        *ctx = (BV_VECS*)bv->data;
    347:   Vec            *newV;
    348:   PetscInt       j;
    349:   char           str[50];

    352:   VecDuplicateVecs(bv->t,m,&newV);
    353:   PetscLogObjectParents(bv,m,newV);
    354:   if (((PetscObject)bv)->name) {
    355:     for (j=0;j<m;j++) {
    356:       PetscSNPrintf(str,sizeof(str),"%s_%D",((PetscObject)bv)->name,j);
    357:       PetscObjectSetName((PetscObject)newV[j],str);
    358:     }
    359:   }
    360:   if (copy) {
    361:     for (j=0;j<PetscMin(m,bv->m);j++) {
    362:       VecCopy(ctx->V[j],newV[j]);
    363:     }
    364:   }
    365:   VecDestroyVecs(bv->m,&ctx->V);
    366:   ctx->V = newV;
    367:   return(0);
    368: }

    370: PetscErrorCode BVGetColumn_Vecs(BV bv,PetscInt j,Vec *v)
    371: {
    372:   BV_VECS  *ctx = (BV_VECS*)bv->data;
    373:   PetscInt l;

    376:   l = BVAvailableVec;
    377:   bv->cv[l] = ctx->V[bv->nc+j];
    378:   return(0);
    379: }

    381: PetscErrorCode BVGetArray_Vecs(BV bv,PetscScalar **a)
    382: {
    383:   PetscErrorCode    ierr;
    384:   BV_VECS           *ctx = (BV_VECS*)bv->data;
    385:   PetscInt          j;
    386:   const PetscScalar *p;

    389:   PetscMalloc1((bv->nc+bv->m)*bv->n,a);
    390:   for (j=0;j<bv->nc+bv->m;j++) {
    391:     VecGetArrayRead(ctx->V[j],&p);
    392:     PetscArraycpy(*a+j*bv->n,p,bv->n);
    393:     VecRestoreArrayRead(ctx->V[j],&p);
    394:   }
    395:   return(0);
    396: }

    398: PetscErrorCode BVRestoreArray_Vecs(BV bv,PetscScalar **a)
    399: {
    401:   BV_VECS        *ctx = (BV_VECS*)bv->data;
    402:   PetscInt       j;
    403:   PetscScalar    *p;

    406:   for (j=0;j<bv->nc+bv->m;j++) {
    407:     VecGetArray(ctx->V[j],&p);
    408:     PetscArraycpy(p,*a+j*bv->n,bv->n);
    409:     VecRestoreArray(ctx->V[j],&p);
    410:   }
    411:   PetscFree(*a);
    412:   return(0);
    413: }

    415: PetscErrorCode BVGetArrayRead_Vecs(BV bv,const PetscScalar **a)
    416: {
    417:   PetscErrorCode    ierr;
    418:   BV_VECS           *ctx = (BV_VECS*)bv->data;
    419:   PetscInt          j;
    420:   const PetscScalar *p;

    423:   PetscMalloc1((bv->nc+bv->m)*bv->n,(PetscScalar**)a);
    424:   for (j=0;j<bv->nc+bv->m;j++) {
    425:     VecGetArrayRead(ctx->V[j],&p);
    426:     PetscArraycpy((PetscScalar*)*a+j*bv->n,p,bv->n);
    427:     VecRestoreArrayRead(ctx->V[j],&p);
    428:   }
    429:   return(0);
    430: }

    432: PetscErrorCode BVRestoreArrayRead_Vecs(BV bv,const PetscScalar **a)
    433: {

    437:   PetscFree(*a);
    438:   return(0);
    439: }

    441: /*
    442:    Sets the value of vmip flag and resets ops->multinplace accordingly
    443:  */
    444: PETSC_STATIC_INLINE PetscErrorCode BVVecsSetVmip(BV bv,PetscInt vmip)
    445: {
    446:   typedef PetscErrorCode (*fmultinplace)(BV,Mat,PetscInt,PetscInt);
    447:   fmultinplace multinplace[2] = {BVMultInPlace_Vecs_ME, BVMultInPlace_Vecs_Alloc};
    448:   BV_VECS      *ctx = (BV_VECS*)bv->data;

    451:   ctx->vmip            = vmip;
    452:   bv->ops->multinplace = multinplace[vmip];
    453:   return(0);
    454: }

    456: PetscErrorCode BVSetFromOptions_Vecs(PetscOptionItems *PetscOptionsObject,BV bv)
    457: {
    459:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    462:   PetscOptionsHead(PetscOptionsObject,"BV Vecs Options");

    464:     PetscOptionsRangeInt("-bv_vecs_vmip","Version of BVMultInPlace operation","",ctx->vmip,&ctx->vmip,NULL,0,1);
    465:     BVVecsSetVmip(bv,ctx->vmip);

    467:   PetscOptionsTail();
    468:   return(0);
    469: }

    471: PetscErrorCode BVView_Vecs(BV bv,PetscViewer viewer)
    472: {
    473:   PetscErrorCode    ierr;
    474:   BV_VECS           *ctx = (BV_VECS*)bv->data;
    475:   PetscInt          j;
    476:   PetscViewerFormat format;
    477:   PetscBool         isascii,ismatlab=PETSC_FALSE;
    478:   const char        *bvname,*name;

    481:   PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);
    482:   if (isascii) {
    483:     PetscViewerGetFormat(viewer,&format);
    484:     if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) return(0);
    485:     if (format == PETSC_VIEWER_ASCII_MATLAB) ismatlab = PETSC_TRUE;
    486:   }
    487:   if (ismatlab) {
    488:     PetscObjectGetName((PetscObject)bv,&bvname);
    489:     PetscViewerASCIIPrintf(viewer,"%s=[];\n",bvname);
    490:   }
    491:   for (j=bv->nc;j<bv->nc+bv->m;j++) {
    492:     VecView(ctx->V[j],viewer);
    493:     if (ismatlab) {
    494:       PetscObjectGetName((PetscObject)ctx->V[j],&name);
    495:       PetscViewerASCIIPrintf(viewer,"%s=[%s,%s];clear %s\n",bvname,bvname,name,name);
    496:     }
    497:   }
    498:   return(0);
    499: }

    501: PetscErrorCode BVDestroy_Vecs(BV bv)
    502: {
    504:   BV_VECS        *ctx = (BV_VECS*)bv->data;

    507:   if (!bv->issplit) { VecDestroyVecs(bv->nc+bv->m,&ctx->V); }
    508:   PetscFree(bv->data);
    509:   return(0);
    510: }

    512: PetscErrorCode BVDuplicate_Vecs(BV V,BV W)
    513: {
    515:   BV_VECS        *ctx = (BV_VECS*)V->data;

    518:   BVVecsSetVmip(W,ctx->vmip);
    519:   return(0);
    520: }

    522: SLEPC_EXTERN PetscErrorCode BVCreate_Vecs(BV bv)
    523: {
    525:   BV_VECS        *ctx;
    526:   PetscInt       j,lsplit;
    527:   PetscBool      isgpu;
    528:   char           str[50];
    529:   BV             parent;
    530:   Vec            *Vpar;

    533:   PetscNewLog(bv,&ctx);
    534:   bv->data = (void*)ctx;

    536:   if (bv->issplit) {
    537:     /* split BV: share the Vecs of the parent BV */
    538:     parent = bv->splitparent;
    539:     lsplit = parent->lsplit;
    540:     Vpar   = ((BV_VECS*)parent->data)->V;
    541:     ctx->V = (bv->issplit==1)? Vpar: Vpar+lsplit;
    542:   } else {
    543:     /* regular BV: create array of Vecs to store the BV columns */
    544:     VecDuplicateVecs(bv->t,bv->m,&ctx->V);
    545:     PetscLogObjectParents(bv,bv->m,ctx->V);
    546:     if (((PetscObject)bv)->name) {
    547:       for (j=0;j<bv->m;j++) {
    548:         PetscSNPrintf(str,sizeof(str),"%s_%D",((PetscObject)bv)->name,j);
    549:         PetscObjectSetName((PetscObject)ctx->V[j],str);
    550:       }
    551:     }
    552:   }

    554:   if (bv->Acreate) {
    555:     for (j=0;j<bv->m;j++) {
    556:       MatGetColumnVector(bv->Acreate,ctx->V[j],j);
    557:     }
    558:     MatDestroy(&bv->Acreate);
    559:   }

    561:   /* Default version of BVMultInPlace */
    562:   PetscObjectTypeCompareAny((PetscObject)bv->t,&isgpu,VECSEQCUDA,VECMPICUDA,"");
    563:   ctx->vmip = isgpu? 1: 0;

    565:   /* Default BVMatMult method */
    566:   bv->vmm = BV_MATMULT_VECS;

    568:   /* Deferred call to setfromoptions */
    569:   if (bv->defersfo) {
    570:     PetscObjectOptionsBegin((PetscObject)bv);
    571:     BVSetFromOptions_Vecs(PetscOptionsObject,bv);
    572:     PetscOptionsEnd();
    573:   }
    574:   BVVecsSetVmip(bv,ctx->vmip);

    576:   bv->ops->mult             = BVMult_Vecs;
    577:   bv->ops->multvec          = BVMultVec_Vecs;
    578:   bv->ops->multinplacetrans = BVMultInPlaceTranspose_Vecs;
    579:   bv->ops->dot              = BVDot_Vecs;
    580:   bv->ops->dotvec           = BVDotVec_Vecs;
    581:   bv->ops->dotvec_begin     = BVDotVec_Begin_Vecs;
    582:   bv->ops->dotvec_end       = BVDotVec_End_Vecs;
    583:   bv->ops->scale            = BVScale_Vecs;
    584:   bv->ops->norm             = BVNorm_Vecs;
    585:   bv->ops->norm_begin       = BVNorm_Begin_Vecs;
    586:   bv->ops->norm_end         = BVNorm_End_Vecs;
    587:   bv->ops->matmult          = BVMatMult_Vecs;
    588:   bv->ops->copy             = BVCopy_Vecs;
    589:   bv->ops->copycolumn       = BVCopyColumn_Vecs;
    590:   bv->ops->resize           = BVResize_Vecs;
    591:   bv->ops->getcolumn        = BVGetColumn_Vecs;
    592:   bv->ops->getarray         = BVGetArray_Vecs;
    593:   bv->ops->restorearray     = BVRestoreArray_Vecs;
    594:   bv->ops->getarrayread     = BVGetArrayRead_Vecs;
    595:   bv->ops->restorearrayread = BVRestoreArrayRead_Vecs;
    596:   bv->ops->destroy          = BVDestroy_Vecs;
    597:   bv->ops->duplicate        = BVDuplicate_Vecs;
    598:   bv->ops->setfromoptions   = BVSetFromOptions_Vecs;
    599:   bv->ops->view             = BVView_Vecs;
    600:   return(0);
    601: }