Actual source code: bvec2.c
petsc-3.14.6 2021-03-30
2: /*
3: Implements the sequential vectors.
4: */
6: #include <../src/vec/vec/impls/dvecimpl.h>
7: #include <../src/vec/vec/impls/mpi/pvecimpl.h>
8: #include <petsc/private/glvisviewerimpl.h>
9: #include <petsc/private/glvisvecimpl.h>
10: #include <petscblaslapack.h>
12: #if defined(PETSC_HAVE_HDF5)
13: extern PetscErrorCode VecView_MPI_HDF5(Vec,PetscViewer);
14: #endif
16: PetscErrorCode VecPointwiseMax_Seq(Vec win,Vec xin,Vec yin)
17: {
19: PetscInt n = win->map->n,i;
20: PetscScalar *ww,*xx,*yy; /* cannot make xx or yy const since might be ww */
23: VecGetArrayRead(xin,(const PetscScalar**)&xx);
24: VecGetArrayRead(yin,(const PetscScalar**)&yy);
25: VecGetArray(win,&ww);
27: for (i=0; i<n; i++) ww[i] = PetscMax(PetscRealPart(xx[i]),PetscRealPart(yy[i]));
29: VecRestoreArrayRead(xin,(const PetscScalar**)&xx);
30: VecRestoreArrayRead(yin,(const PetscScalar**)&yy);
31: VecRestoreArray(win,&ww);
32: PetscLogFlops(n);
33: return(0);
34: }
36: PetscErrorCode VecPointwiseMin_Seq(Vec win,Vec xin,Vec yin)
37: {
39: PetscInt n = win->map->n,i;
40: PetscScalar *ww,*xx,*yy; /* cannot make xx or yy const since might be ww */
43: VecGetArrayRead(xin,(const PetscScalar**)&xx);
44: VecGetArrayRead(yin,(const PetscScalar**)&yy);
45: VecGetArray(win,&ww);
47: for (i=0; i<n; i++) ww[i] = PetscMin(PetscRealPart(xx[i]),PetscRealPart(yy[i]));
49: VecRestoreArrayRead(xin,(const PetscScalar**)&xx);
50: VecRestoreArrayRead(yin,(const PetscScalar**)&yy);
51: VecRestoreArray(win,&ww);
52: PetscLogFlops(n);
53: return(0);
54: }
56: PetscErrorCode VecPointwiseMaxAbs_Seq(Vec win,Vec xin,Vec yin)
57: {
59: PetscInt n = win->map->n,i;
60: PetscScalar *ww,*xx,*yy; /* cannot make xx or yy const since might be ww */
63: VecGetArrayRead(xin,(const PetscScalar**)&xx);
64: VecGetArrayRead(yin,(const PetscScalar**)&yy);
65: VecGetArray(win,&ww);
67: for (i=0; i<n; i++) ww[i] = PetscMax(PetscAbsScalar(xx[i]),PetscAbsScalar(yy[i]));
69: PetscLogFlops(n);
70: VecRestoreArrayRead(xin,(const PetscScalar**)&xx);
71: VecRestoreArrayRead(yin,(const PetscScalar**)&yy);
72: VecRestoreArray(win,&ww);
73: return(0);
74: }
76: #include <../src/vec/vec/impls/seq/ftn-kernels/fxtimesy.h>
78: PetscErrorCode VecPointwiseMult_Seq(Vec win,Vec xin,Vec yin)
79: {
81: PetscInt n = win->map->n,i;
82: PetscScalar *ww,*xx,*yy; /* cannot make xx or yy const since might be ww */
85: VecGetArrayRead(xin,(const PetscScalar**)&xx);
86: VecGetArrayRead(yin,(const PetscScalar**)&yy);
87: VecGetArray(win,&ww);
88: if (ww == xx) {
89: for (i=0; i<n; i++) ww[i] *= yy[i];
90: } else if (ww == yy) {
91: for (i=0; i<n; i++) ww[i] *= xx[i];
92: } else {
93: #if defined(PETSC_USE_FORTRAN_KERNEL_XTIMESY)
94: fortranxtimesy_(xx,yy,ww,&n);
95: #else
96: for (i=0; i<n; i++) ww[i] = xx[i] * yy[i];
97: #endif
98: }
99: VecRestoreArrayRead(xin,(const PetscScalar**)&xx);
100: VecRestoreArrayRead(yin,(const PetscScalar**)&yy);
101: VecRestoreArray(win,&ww);
102: PetscLogFlops(n);
103: return(0);
104: }
106: PetscErrorCode VecPointwiseDivide_Seq(Vec win,Vec xin,Vec yin)
107: {
109: PetscInt n = win->map->n,i;
110: PetscScalar *ww,*xx,*yy; /* cannot make xx or yy const since might be ww */
113: VecGetArrayRead(xin,(const PetscScalar**)&xx);
114: VecGetArrayRead(yin,(const PetscScalar**)&yy);
115: VecGetArray(win,&ww);
117: for (i=0; i<n; i++) {
118: if (yy[i] != 0.0) ww[i] = xx[i] / yy[i];
119: else ww[i] = 0.0;
120: }
122: PetscLogFlops(n);
123: VecRestoreArrayRead(xin,(const PetscScalar**)&xx);
124: VecRestoreArrayRead(yin,(const PetscScalar**)&yy);
125: VecRestoreArray(win,&ww);
126: return(0);
127: }
129: PetscErrorCode VecSetRandom_Seq(Vec xin,PetscRandom r)
130: {
132: PetscInt n = xin->map->n,i;
133: PetscScalar *xx;
136: VecGetArray(xin,&xx);
137: for (i=0; i<n; i++) {PetscRandomGetValue(r,&xx[i]);}
138: VecRestoreArray(xin,&xx);
139: return(0);
140: }
142: PetscErrorCode VecGetSize_Seq(Vec vin,PetscInt *size)
143: {
145: *size = vin->map->n;
146: return(0);
147: }
151: PetscErrorCode VecConjugate_Seq(Vec xin)
152: {
153: PetscScalar *x;
154: PetscInt n = xin->map->n;
158: VecGetArray(xin,&x);
159: while (n-->0) {
160: *x = PetscConj(*x);
161: x++;
162: }
163: VecRestoreArray(xin,&x);
164: return(0);
165: }
167: PetscErrorCode VecResetArray_Seq(Vec vin)
168: {
169: Vec_Seq *v = (Vec_Seq*)vin->data;
172: v->array = v->unplacedarray;
173: v->unplacedarray = NULL;
174: return(0);
175: }
177: PetscErrorCode VecCopy_Seq(Vec xin,Vec yin)
178: {
179: PetscScalar *ya;
180: const PetscScalar *xa;
181: PetscErrorCode ierr;
184: if (xin != yin) {
185: VecGetArrayRead(xin,&xa);
186: VecGetArray(yin,&ya);
187: PetscArraycpy(ya,xa,xin->map->n);
188: VecRestoreArrayRead(xin,&xa);
189: VecRestoreArray(yin,&ya);
190: }
191: return(0);
192: }
194: PetscErrorCode VecSwap_Seq(Vec xin,Vec yin)
195: {
196: PetscScalar *ya, *xa;
198: PetscBLASInt one = 1,bn;
201: if (xin != yin) {
202: PetscBLASIntCast(xin->map->n,&bn);
203: VecGetArray(xin,&xa);
204: VecGetArray(yin,&ya);
205: PetscStackCallBLAS("BLASswap",BLASswap_(&bn,xa,&one,ya,&one));
206: VecRestoreArray(xin,&xa);
207: VecRestoreArray(yin,&ya);
208: }
209: return(0);
210: }
212: #include <../src/vec/vec/impls/seq/ftn-kernels/fnorm.h>
214: PetscErrorCode VecNorm_Seq(Vec xin,NormType type,PetscReal *z)
215: {
216: const PetscScalar *xx;
217: PetscErrorCode ierr;
218: PetscInt n = xin->map->n;
219: PetscBLASInt one = 1, bn = 0;
222: PetscBLASIntCast(n,&bn);
223: if (type == NORM_2 || type == NORM_FROBENIUS) {
224: VecGetArrayRead(xin,&xx);
225: #if defined(PETSC_USE_REAL___FP16)
226: *z = BLASnrm2_(&bn,xx,&one);
227: #else
228: *z = PetscRealPart(BLASdot_(&bn,xx,&one,xx,&one));
229: *z = PetscSqrtReal(*z);
230: #endif
231: VecRestoreArrayRead(xin,&xx);
232: PetscLogFlops(PetscMax(2.0*n-1,0.0));
233: } else if (type == NORM_INFINITY) {
234: PetscInt i;
235: PetscReal max = 0.0,tmp;
237: VecGetArrayRead(xin,&xx);
238: for (i=0; i<n; i++) {
239: if ((tmp = PetscAbsScalar(*xx)) > max) max = tmp;
240: /* check special case of tmp == NaN */
241: if (tmp != tmp) {max = tmp; break;}
242: xx++;
243: }
244: VecRestoreArrayRead(xin,&xx);
245: *z = max;
246: } else if (type == NORM_1) {
247: #if defined(PETSC_USE_COMPLEX)
248: PetscReal tmp = 0.0;
249: PetscInt i;
250: #endif
251: VecGetArrayRead(xin,&xx);
252: #if defined(PETSC_USE_COMPLEX)
253: /* BLASasum() returns the nonstandard 1 norm of the 1 norm of the complex entries so we provide a custom loop instead */
254: for (i=0; i<n; i++) {
255: tmp += PetscAbsScalar(xx[i]);
256: }
257: *z = tmp;
258: #else
259: PetscStackCallBLAS("BLASasum",*z = BLASasum_(&bn,xx,&one));
260: #endif
261: VecRestoreArrayRead(xin,&xx);
262: PetscLogFlops(PetscMax(n-1.0,0.0));
263: } else if (type == NORM_1_AND_2) {
264: VecNorm_Seq(xin,NORM_1,z);
265: VecNorm_Seq(xin,NORM_2,z+1);
266: }
267: return(0);
268: }
270: PetscErrorCode VecView_Seq_ASCII(Vec xin,PetscViewer viewer)
271: {
272: PetscErrorCode ierr;
273: PetscInt i,n = xin->map->n;
274: const char *name;
275: PetscViewerFormat format;
276: const PetscScalar *xv;
279: VecGetArrayRead(xin,&xv);
280: PetscViewerGetFormat(viewer,&format);
281: if (format == PETSC_VIEWER_ASCII_MATLAB) {
282: PetscObjectGetName((PetscObject)xin,&name);
283: PetscViewerASCIIPrintf(viewer,"%s = [\n",name);
284: for (i=0; i<n; i++) {
285: #if defined(PETSC_USE_COMPLEX)
286: if (PetscImaginaryPart(xv[i]) > 0.0) {
287: PetscViewerASCIIPrintf(viewer,"%18.16e + %18.16ei\n",(double)PetscRealPart(xv[i]),(double)PetscImaginaryPart(xv[i]));
288: } else if (PetscImaginaryPart(xv[i]) < 0.0) {
289: PetscViewerASCIIPrintf(viewer,"%18.16e - %18.16ei\n",(double)PetscRealPart(xv[i]),-(double)PetscImaginaryPart(xv[i]));
290: } else {
291: PetscViewerASCIIPrintf(viewer,"%18.16e\n",(double)PetscRealPart(xv[i]));
292: }
293: #else
294: PetscViewerASCIIPrintf(viewer,"%18.16e\n",(double) xv[i]);
295: #endif
296: }
297: PetscViewerASCIIPrintf(viewer,"];\n");
298: } else if (format == PETSC_VIEWER_ASCII_SYMMODU) {
299: for (i=0; i<n; i++) {
300: #if defined(PETSC_USE_COMPLEX)
301: PetscViewerASCIIPrintf(viewer,"%18.16e %18.16e\n",(double)PetscRealPart(xv[i]),(double)PetscImaginaryPart(xv[i]));
302: #else
303: PetscViewerASCIIPrintf(viewer,"%18.16e\n",(double)xv[i]);
304: #endif
305: }
306: } else if (format == PETSC_VIEWER_ASCII_VTK_DEPRECATED || format == PETSC_VIEWER_ASCII_VTK_CELL_DEPRECATED) {
307: /*
308: state 0: No header has been output
309: state 1: Only POINT_DATA has been output
310: state 2: Only CELL_DATA has been output
311: state 3: Output both, POINT_DATA last
312: state 4: Output both, CELL_DATA last
313: */
314: static PetscInt stateId = -1;
315: int outputState = 0;
316: PetscBool hasState;
317: int doOutput = 0;
318: PetscInt bs, b;
320: if (stateId < 0) {
321: PetscObjectComposedDataRegister(&stateId);
322: }
323: PetscObjectComposedDataGetInt((PetscObject) viewer, stateId, outputState, hasState);
324: if (!hasState) outputState = 0;
325: PetscObjectGetName((PetscObject) xin, &name);
326: VecGetBlockSize(xin, &bs);
327: if ((bs < 1) || (bs > 3)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "VTK can only handle 3D objects, but vector dimension is %d", bs);
328: if (format == PETSC_VIEWER_ASCII_VTK_DEPRECATED) {
329: if (outputState == 0) {
330: outputState = 1;
331: doOutput = 1;
332: } else if (outputState == 1) doOutput = 0;
333: else if (outputState == 2) {
334: outputState = 3;
335: doOutput = 1;
336: } else if (outputState == 3) doOutput = 0;
337: else if (outputState == 4) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Tried to output POINT_DATA again after intervening CELL_DATA");
339: if (doOutput) {
340: PetscViewerASCIIPrintf(viewer, "POINT_DATA %d\n", n/bs);
341: }
342: } else {
343: if (outputState == 0) {
344: outputState = 2;
345: doOutput = 1;
346: } else if (outputState == 1) {
347: outputState = 4;
348: doOutput = 1;
349: } else if (outputState == 2) doOutput = 0;
350: else if (outputState == 3) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "Tried to output CELL_DATA again after intervening POINT_DATA");
351: else if (outputState == 4) doOutput = 0;
353: if (doOutput) {
354: PetscViewerASCIIPrintf(viewer, "CELL_DATA %d\n", n);
355: }
356: }
357: PetscObjectComposedDataSetInt((PetscObject) viewer, stateId, outputState);
358: if (name) {
359: if (bs == 3) {
360: PetscViewerASCIIPrintf(viewer, "VECTORS %s double\n", name);
361: } else {
362: PetscViewerASCIIPrintf(viewer, "SCALARS %s double %d\n", name, bs);
363: }
364: } else {
365: PetscViewerASCIIPrintf(viewer, "SCALARS scalars double %d\n", bs);
366: }
367: if (bs != 3) {
368: PetscViewerASCIIPrintf(viewer, "LOOKUP_TABLE default\n");
369: }
370: for (i=0; i<n/bs; i++) {
371: for (b=0; b<bs; b++) {
372: if (b > 0) {
373: PetscViewerASCIIPrintf(viewer," ");
374: }
375: #if !defined(PETSC_USE_COMPLEX)
376: PetscViewerASCIIPrintf(viewer,"%g",(double)xv[i*bs+b]);
377: #endif
378: }
379: PetscViewerASCIIPrintf(viewer,"\n");
380: }
381: } else if (format == PETSC_VIEWER_ASCII_VTK_COORDS_DEPRECATED) {
382: PetscInt bs, b;
384: VecGetBlockSize(xin, &bs);
385: if ((bs < 1) || (bs > 3)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "VTK can only handle 3D objects, but vector dimension is %d", bs);
386: for (i=0; i<n/bs; i++) {
387: for (b=0; b<bs; b++) {
388: if (b > 0) {
389: PetscViewerASCIIPrintf(viewer," ");
390: }
391: #if !defined(PETSC_USE_COMPLEX)
392: PetscViewerASCIIPrintf(viewer,"%g",(double)xv[i*bs+b]);
393: #endif
394: }
395: for (b=bs; b<3; b++) {
396: PetscViewerASCIIPrintf(viewer," 0.0");
397: }
398: PetscViewerASCIIPrintf(viewer,"\n");
399: }
400: } else if (format == PETSC_VIEWER_ASCII_PCICE) {
401: PetscInt bs, b;
403: VecGetBlockSize(xin, &bs);
404: if ((bs < 1) || (bs > 3)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE, "PCICE can only handle up to 3D objects, but vector dimension is %d", bs);
405: PetscViewerASCIIPrintf(viewer,"%D\n", xin->map->N/bs);
406: for (i=0; i<n/bs; i++) {
407: PetscViewerASCIIPrintf(viewer,"%7D ", i+1);
408: for (b=0; b<bs; b++) {
409: if (b > 0) {
410: PetscViewerASCIIPrintf(viewer," ");
411: }
412: #if !defined(PETSC_USE_COMPLEX)
413: PetscViewerASCIIPrintf(viewer,"% 12.5E",(double)xv[i*bs+b]);
414: #endif
415: }
416: PetscViewerASCIIPrintf(viewer,"\n");
417: }
418: } else if (format == PETSC_VIEWER_ASCII_GLVIS) {
419: /* GLVis ASCII visualization/dump: this function mimicks mfem::GridFunction::Save() */
420: const PetscScalar *array;
421: PetscInt i,n,vdim, ordering = 1; /* mfem::FiniteElementSpace::Ordering::byVDIM */
422: PetscContainer glvis_container;
423: PetscViewerGLVisVecInfo glvis_vec_info;
424: PetscViewerGLVisInfo glvis_info;
425: PetscErrorCode ierr;
427: /* mfem::FiniteElementSpace::Save() */
428: VecGetBlockSize(xin,&vdim);
429: PetscViewerASCIIPrintf(viewer,"FiniteElementSpace\n");
430: PetscObjectQuery((PetscObject)xin,"_glvis_info_container",(PetscObject*)&glvis_container);
431: if (!glvis_container) SETERRQ(PetscObjectComm((PetscObject)xin),PETSC_ERR_PLIB,"Missing GLVis container");
432: PetscContainerGetPointer(glvis_container,(void**)&glvis_vec_info);
433: PetscViewerASCIIPrintf(viewer,"%s\n",glvis_vec_info->fec_type);
434: PetscViewerASCIIPrintf(viewer,"VDim: %d\n",vdim);
435: PetscViewerASCIIPrintf(viewer,"Ordering: %d\n",ordering);
436: PetscViewerASCIIPrintf(viewer,"\n");
437: /* mfem::Vector::Print() */
438: PetscObjectQuery((PetscObject)viewer,"_glvis_info_container",(PetscObject*)&glvis_container);
439: if (!glvis_container) SETERRQ(PetscObjectComm((PetscObject)viewer),PETSC_ERR_PLIB,"Missing GLVis container");
440: PetscContainerGetPointer(glvis_container,(void**)&glvis_info);
441: if (glvis_info->enabled) {
442: VecGetLocalSize(xin,&n);
443: VecGetArrayRead(xin,&array);
444: for (i=0;i<n;i++) {
445: PetscViewerASCIIPrintf(viewer,glvis_info->fmt,(double)PetscRealPart(array[i]));
446: PetscViewerASCIIPrintf(viewer,"\n");
447: }
448: VecRestoreArrayRead(xin,&array);
449: }
450: } else if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) {
451: /* No info */
452: } else {
453: for (i=0; i<n; i++) {
454: if (format == PETSC_VIEWER_ASCII_INDEX) {
455: PetscViewerASCIIPrintf(viewer,"%D: ",i);
456: }
457: #if defined(PETSC_USE_COMPLEX)
458: if (PetscImaginaryPart(xv[i]) > 0.0) {
459: PetscViewerASCIIPrintf(viewer,"%g + %g i\n",(double)PetscRealPart(xv[i]),(double)PetscImaginaryPart(xv[i]));
460: } else if (PetscImaginaryPart(xv[i]) < 0.0) {
461: PetscViewerASCIIPrintf(viewer,"%g - %g i\n",(double)PetscRealPart(xv[i]),-(double)PetscImaginaryPart(xv[i]));
462: } else {
463: PetscViewerASCIIPrintf(viewer,"%g\n",(double)PetscRealPart(xv[i]));
464: }
465: #else
466: PetscViewerASCIIPrintf(viewer,"%g\n",(double)xv[i]);
467: #endif
468: }
469: }
470: PetscViewerFlush(viewer);
471: VecRestoreArrayRead(xin,&xv);
472: return(0);
473: }
475: #include <petscdraw.h>
476: PetscErrorCode VecView_Seq_Draw_LG(Vec xin,PetscViewer v)
477: {
478: PetscDraw draw;
479: PetscBool isnull;
480: PetscDrawLG lg;
481: PetscErrorCode ierr;
482: PetscInt i,c,bs = PetscAbs(xin->map->bs),n = xin->map->n/bs;
483: const PetscScalar *xv;
484: PetscReal *xx,*yy,xmin,xmax,h;
485: int colors[] = {PETSC_DRAW_RED};
486: PetscViewerFormat format;
487: PetscDrawAxis axis;
490: PetscViewerDrawGetDraw(v,0,&draw);
491: PetscDrawIsNull(draw,&isnull);
492: if (isnull) return(0);
494: PetscViewerGetFormat(v,&format);
495: PetscMalloc2(n,&xx,n,&yy);
496: VecGetArrayRead(xin,&xv);
497: for (c=0; c<bs; c++) {
498: PetscViewerDrawGetDrawLG(v,c,&lg);
499: PetscDrawLGReset(lg);
500: PetscDrawLGSetDimension(lg,1);
501: PetscDrawLGSetColors(lg,colors);
502: if (format == PETSC_VIEWER_DRAW_LG_XRANGE) {
503: PetscDrawLGGetAxis(lg,&axis);
504: PetscDrawAxisGetLimits(axis,&xmin,&xmax,NULL,NULL);
505: h = (xmax - xmin)/n;
506: for (i=0; i<n; i++) xx[i] = i*h + 0.5*h; /* cell center */
507: } else {
508: for (i=0; i<n; i++) xx[i] = (PetscReal)i;
509: }
510: for (i=0; i<n; i++) yy[i] = PetscRealPart(xv[c + i*bs]);
512: PetscDrawLGAddPoints(lg,n,&xx,&yy);
513: PetscDrawLGDraw(lg);
514: PetscDrawLGSave(lg);
515: }
516: VecRestoreArrayRead(xin,&xv);
517: PetscFree2(xx,yy);
518: return(0);
519: }
521: PetscErrorCode VecView_Seq_Draw(Vec xin,PetscViewer v)
522: {
523: PetscErrorCode ierr;
524: PetscDraw draw;
525: PetscBool isnull;
528: PetscViewerDrawGetDraw(v,0,&draw);
529: PetscDrawIsNull(draw,&isnull);
530: if (isnull) return(0);
532: VecView_Seq_Draw_LG(xin,v);
533: return(0);
534: }
536: PetscErrorCode VecView_Seq_Binary(Vec xin,PetscViewer viewer)
537: {
538: return VecView_Binary(xin,viewer);
539: }
541: #if defined(PETSC_HAVE_MATLAB_ENGINE)
542: #include <petscmatlab.h>
543: #include <mat.h> /* MATLAB include file */
544: PetscErrorCode VecView_Seq_Matlab(Vec vec,PetscViewer viewer)
545: {
546: PetscErrorCode ierr;
547: PetscInt n;
548: const PetscScalar *array;
551: VecGetLocalSize(vec,&n);
552: PetscObjectName((PetscObject)vec);
553: VecGetArrayRead(vec,&array);
554: PetscViewerMatlabPutArray(viewer,n,1,array,((PetscObject)vec)->name);
555: VecRestoreArrayRead(vec,&array);
556: return(0);
557: }
558: #endif
560: PETSC_EXTERN PetscErrorCode VecView_Seq(Vec xin,PetscViewer viewer)
561: {
563: PetscBool isdraw,iascii,issocket,isbinary;
564: #if defined(PETSC_HAVE_MATHEMATICA)
565: PetscBool ismathematica;
566: #endif
567: #if defined(PETSC_HAVE_MATLAB_ENGINE)
568: PetscBool ismatlab;
569: #endif
570: #if defined(PETSC_HAVE_HDF5)
571: PetscBool ishdf5;
572: #endif
573: PetscBool isglvis;
574: #if defined(PETSC_HAVE_ADIOS)
575: PetscBool isadios;
576: #endif
577: #if defined(PETSC_HAVE_ADIOS2)
578: PetscBool isadios2;
579: #endif
582: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);
583: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
584: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSOCKET,&issocket);
585: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);
586: #if defined(PETSC_HAVE_MATHEMATICA)
587: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATHEMATICA,&ismathematica);
588: #endif
589: #if defined(PETSC_HAVE_HDF5)
590: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERHDF5,&ishdf5);
591: #endif
592: #if defined(PETSC_HAVE_MATLAB_ENGINE)
593: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERMATLAB,&ismatlab);
594: #endif
595: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERGLVIS,&isglvis);
596: #if defined(PETSC_HAVE_ADIOS)
597: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERADIOS,&isadios);
598: #endif
599: #if defined(PETSC_HAVE_ADIOS2)
600: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERADIOS2,&isadios2);
601: #endif
603: if (isdraw) {
604: VecView_Seq_Draw(xin,viewer);
605: } else if (iascii) {
606: VecView_Seq_ASCII(xin,viewer);
607: } else if (isbinary) {
608: VecView_Seq_Binary(xin,viewer);
609: #if defined(PETSC_HAVE_MATHEMATICA)
610: } else if (ismathematica) {
611: PetscViewerMathematicaPutVector(viewer,xin);
612: #endif
613: #if defined(PETSC_HAVE_HDF5)
614: } else if (ishdf5) {
615: VecView_MPI_HDF5(xin,viewer); /* Reusing VecView_MPI_HDF5 ... don't want code duplication*/
616: #endif
617: #if defined(PETSC_HAVE_ADIOS)
618: } else if (isadios) {
619: VecView_MPI_ADIOS(xin,viewer); /* Reusing VecView_MPI_ADIOS ... don't want code duplication*/
620: #endif
621: #if defined(PETSC_HAVE_ADIOS2)
622: } else if (isadios2) {
623: VecView_MPI_ADIOS2(xin,viewer); /* Reusing VecView_MPI_ADIOS2 ... don't want code duplication*/
624: #endif
625: #if defined(PETSC_HAVE_MATLAB_ENGINE)
626: } else if (ismatlab) {
627: VecView_Seq_Matlab(xin,viewer);
628: #endif
629: } else if (isglvis) {
630: VecView_GLVis(xin,viewer);
631: }
632: return(0);
633: }
635: PetscErrorCode VecGetValues_Seq(Vec xin,PetscInt ni,const PetscInt ix[],PetscScalar y[])
636: {
637: const PetscScalar *xx;
638: PetscInt i;
639: PetscErrorCode ierr;
642: VecGetArrayRead(xin,&xx);
643: for (i=0; i<ni; i++) {
644: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
645: if (PetscDefined(USE_DEBUG)) {
646: if (ix[i] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
647: if (ix[i] >= xin->map->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D to large maximum allowed %D",ix[i],xin->map->n);
648: }
649: y[i] = xx[ix[i]];
650: }
651: VecRestoreArrayRead(xin,&xx);
652: return(0);
653: }
655: PetscErrorCode VecSetValues_Seq(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar y[],InsertMode m)
656: {
657: PetscScalar *xx;
658: PetscInt i;
662: VecGetArray(xin,&xx);
663: if (m == INSERT_VALUES) {
664: for (i=0; i<ni; i++) {
665: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
666: if (PetscDefined(USE_DEBUG)) {
667: if (ix[i] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
668: if (ix[i] >= xin->map->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->n);
669: }
670: xx[ix[i]] = y[i];
671: }
672: } else {
673: for (i=0; i<ni; i++) {
674: if (xin->stash.ignorenegidx && ix[i] < 0) continue;
675: if (PetscDefined(USE_DEBUG)) {
676: if (ix[i] < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D cannot be negative",ix[i]);
677: if (ix[i] >= xin->map->n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",ix[i],xin->map->n);
678: }
679: xx[ix[i]] += y[i];
680: }
681: }
682: VecRestoreArray(xin,&xx);
683: return(0);
684: }
686: PetscErrorCode VecSetValuesBlocked_Seq(Vec xin,PetscInt ni,const PetscInt ix[],const PetscScalar yin[],InsertMode m)
687: {
688: PetscScalar *xx,*y = (PetscScalar*)yin;
689: PetscInt i,bs,start,j;
692: /*
693: For optimization could treat bs = 2, 3, 4, 5 as special cases with loop unrolling
694: */
696: VecGetBlockSize(xin,&bs);
697: VecGetArray(xin,&xx);
698: if (m == INSERT_VALUES) {
699: for (i=0; i<ni; i++, y+=bs) {
700: start = bs*ix[i];
701: if (start < 0) continue;
702: if (PetscUnlikelyDebug(start >= xin->map->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",start,xin->map->n);
703: for (j=0; j<bs; j++) xx[start+j] = y[j];
704: }
705: } else {
706: for (i=0; i<ni; i++, y+=bs) {
707: start = bs*ix[i];
708: if (start < 0) continue;
709: if (PetscUnlikelyDebug(start >= xin->map->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Out of range index value %D maximum %D",start,xin->map->n);
710: for (j=0; j<bs; j++) xx[start+j] += y[j];
711: }
712: }
713: VecRestoreArray(xin,&xx);
714: return(0);
715: }
717: PetscErrorCode VecDestroy_Seq(Vec v)
718: {
719: Vec_Seq *vs = (Vec_Seq*)v->data;
723: #if defined(PETSC_USE_LOG)
724: PetscLogObjectState((PetscObject)v,"Length=%D",v->map->n);
725: #endif
726: if (vs) { PetscFree(vs->array_allocated); }
727: PetscFree(v->data);
728: return(0);
729: }
731: PetscErrorCode VecSetOption_Seq(Vec v,VecOption op,PetscBool flag)
732: {
734: if (op == VEC_IGNORE_NEGATIVE_INDICES) v->stash.ignorenegidx = flag;
735: return(0);
736: }
738: PetscErrorCode VecDuplicate_Seq(Vec win,Vec *V)
739: {
743: VecCreate(PetscObjectComm((PetscObject)win),V);
744: VecSetSizes(*V,win->map->n,win->map->n);
745: VecSetType(*V,((PetscObject)win)->type_name);
746: PetscLayoutReference(win->map,&(*V)->map);
747: PetscObjectListDuplicate(((PetscObject)win)->olist,&((PetscObject)(*V))->olist);
748: PetscFunctionListDuplicate(((PetscObject)win)->qlist,&((PetscObject)(*V))->qlist);
750: (*V)->ops->view = win->ops->view;
751: (*V)->stash.ignorenegidx = win->stash.ignorenegidx;
752: return(0);
753: }
755: static struct _VecOps DvOps = {VecDuplicate_Seq, /* 1 */
756: VecDuplicateVecs_Default,
757: VecDestroyVecs_Default,
758: VecDot_Seq,
759: VecMDot_Seq,
760: VecNorm_Seq,
761: VecTDot_Seq,
762: VecMTDot_Seq,
763: VecScale_Seq,
764: VecCopy_Seq, /* 10 */
765: VecSet_Seq,
766: VecSwap_Seq,
767: VecAXPY_Seq,
768: VecAXPBY_Seq,
769: VecMAXPY_Seq,
770: VecAYPX_Seq,
771: VecWAXPY_Seq,
772: VecAXPBYPCZ_Seq,
773: VecPointwiseMult_Seq,
774: VecPointwiseDivide_Seq,
775: VecSetValues_Seq, /* 20 */
776: NULL,
777: NULL,
778: NULL,
779: VecGetSize_Seq,
780: VecGetSize_Seq,
781: NULL,
782: VecMax_Seq,
783: VecMin_Seq,
784: VecSetRandom_Seq,
785: VecSetOption_Seq, /* 30 */
786: VecSetValuesBlocked_Seq,
787: VecDestroy_Seq,
788: VecView_Seq,
789: VecPlaceArray_Seq,
790: VecReplaceArray_Seq,
791: VecDot_Seq,
792: VecTDot_Seq,
793: VecNorm_Seq,
794: VecMDot_Seq,
795: VecMTDot_Seq, /* 40 */
796: VecLoad_Default,
797: VecReciprocal_Default,
798: VecConjugate_Seq,
799: NULL,
800: NULL,
801: VecResetArray_Seq,
802: NULL,
803: VecMaxPointwiseDivide_Seq,
804: VecPointwiseMax_Seq,
805: VecPointwiseMaxAbs_Seq,
806: VecPointwiseMin_Seq,
807: VecGetValues_Seq,
808: NULL,
809: NULL,
810: NULL,
811: NULL,
812: NULL,
813: NULL,
814: VecStrideGather_Default,
815: VecStrideScatter_Default,
816: NULL,
817: NULL,
818: NULL,
819: NULL,
820: NULL,
821: VecStrideSubSetGather_Default,
822: VecStrideSubSetScatter_Default,
823: NULL,
824: NULL
825: };
828: /*
829: This is called by VecCreate_Seq() (i.e. VecCreateSeq()) and VecCreateSeqWithArray()
830: */
831: PetscErrorCode VecCreate_Seq_Private(Vec v,const PetscScalar array[])
832: {
833: Vec_Seq *s;
837: PetscNewLog(v,&s);
838: PetscMemcpy(v->ops,&DvOps,sizeof(DvOps));
840: v->data = (void*)s;
841: v->petscnative = PETSC_TRUE;
842: s->array = (PetscScalar*)array;
843: s->array_allocated = NULL;
844: if (array) v->offloadmask = PETSC_OFFLOAD_CPU;
846: PetscLayoutSetUp(v->map);
847: PetscObjectChangeTypeName((PetscObject)v,VECSEQ);
848: #if defined(PETSC_HAVE_MATLAB_ENGINE)
849: PetscObjectComposeFunction((PetscObject)v,"PetscMatlabEnginePut_C",VecMatlabEnginePut_Default);
850: PetscObjectComposeFunction((PetscObject)v,"PetscMatlabEngineGet_C",VecMatlabEngineGet_Default);
851: #endif
852: return(0);
853: }
855: /*@C
856: VecCreateSeqWithArray - Creates a standard,sequential array-style vector,
857: where the user provides the array space to store the vector values.
859: Collective
861: Input Parameter:
862: + comm - the communicator, should be PETSC_COMM_SELF
863: . bs - the block size
864: . n - the vector length
865: - array - memory where the vector elements are to be stored.
867: Output Parameter:
868: . V - the vector
870: Notes:
871: Use VecDuplicate() or VecDuplicateVecs() to form additional vectors of the
872: same type as an existing vector.
874: If the user-provided array is NULL, then VecPlaceArray() can be used
875: at a later stage to SET the array for storing the vector values.
877: PETSc does NOT free the array when the vector is destroyed via VecDestroy().
878: The user should not free the array until the vector is destroyed.
880: Level: intermediate
882: .seealso: VecCreateMPIWithArray(), VecCreate(), VecDuplicate(), VecDuplicateVecs(),
883: VecCreateGhost(), VecCreateSeq(), VecPlaceArray()
884: @*/
885: PetscErrorCode VecCreateSeqWithArray(MPI_Comm comm,PetscInt bs,PetscInt n,const PetscScalar array[],Vec *V)
886: {
888: PetscMPIInt size;
891: VecCreate(comm,V);
892: VecSetSizes(*V,n,n);
893: VecSetBlockSize(*V,bs);
894: MPI_Comm_size(comm,&size);
895: if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Cannot create VECSEQ on more than one process");
896: VecCreate_Seq_Private(*V,array);
897: return(0);
898: }