Actual source code: aijmatlab.c
petsc-3.12.5 2020-03-29
2: /*
3: Provides an interface for the MATLAB engine sparse solver
5: */
6: #include <../src/mat/impls/aij/seq/aij.h>
7: #include <petscmatlab.h>
8: #include <engine.h> /* MATLAB include file */
9: #include <mex.h> /* MATLAB include file */
11: PETSC_EXTERN mxArray *MatSeqAIJToMatlab(Mat B)
12: {
14: Mat_SeqAIJ *aij = (Mat_SeqAIJ*)B->data;
15: mwIndex *ii,*jj;
16: mxArray *mat;
17: PetscInt i;
20: mat = mxCreateSparse(B->cmap->n,B->rmap->n,aij->nz,mxREAL);
21: PetscArraycpy(mxGetPr(mat),aij->a,aij->nz);if (ierr) return NULL;
22: /* MATLAB stores by column, not row so we pass in the transpose of the matrix */
23: jj = mxGetIr(mat);
24: for (i=0; i<aij->nz; i++) jj[i] = aij->j[i];
25: ii = mxGetJc(mat);
26: for (i=0; i<B->rmap->n+1; i++) ii[i] = aij->i[i];
27: PetscFunctionReturn(mat);
28: }
30: PETSC_EXTERN PetscErrorCode MatlabEnginePut_SeqAIJ(PetscObject obj,void *mengine)
31: {
33: mxArray *mat;
36: mat = MatSeqAIJToMatlab((Mat)obj);if (!mat) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot create MATLAB matrix");
37: PetscObjectName(obj);
38: engPutVariable((Engine*)mengine,obj->name,mat);
39: return(0);
40: }
42: PETSC_EXTERN PetscErrorCode MatSeqAIJFromMatlab(mxArray *mmat,Mat mat)
43: {
45: PetscInt nz,n,m,*i,*j,k;
46: mwIndex nnz,nn,nm,*ii,*jj;
47: Mat_SeqAIJ *aij = (Mat_SeqAIJ*)mat->data;
50: nn = mxGetN(mmat); /* rows of transpose of matrix */
51: nm = mxGetM(mmat);
52: nnz = (mxGetJc(mmat))[nn];
53: ii = mxGetJc(mmat);
54: jj = mxGetIr(mmat);
55: n = (PetscInt) nn;
56: m = (PetscInt) nm;
57: nz = (PetscInt) nnz;
59: if (mat->rmap->n < 0 && mat->cmap->n < 0) {
60: /* matrix has not yet had its size set */
61: MatSetSizes(mat,n,m,PETSC_DETERMINE,PETSC_DETERMINE);
62: MatSetUp(mat);
63: } else {
64: if (mat->rmap->n != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change size of PETSc matrix %D to %D",mat->rmap->n,n);
65: if (mat->cmap->n != m) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change size of PETSc matrix %D to %D",mat->cmap->n,m);
66: }
67: if (nz != aij->nz) {
68: /* number of nonzeros in matrix has changed, so need new data structure */
69: MatSeqXAIJFreeAIJ(mat,&aij->a,&aij->j,&aij->i);
70: aij->nz = nz;
71: PetscMalloc3(aij->nz,&aij->a,aij->nz,&aij->j,mat->rmap->n+1,&aij->i);
73: aij->singlemalloc = PETSC_TRUE;
74: }
76: PetscArraycpy(aij->a,mxGetPr(mmat),aij->nz);
77: /* MATLAB stores by column, not row so we pass in the transpose of the matrix */
78: i = aij->i;
79: for (k=0; k<n+1; k++) i[k] = (PetscInt) ii[k];
80: j = aij->j;
81: for (k=0; k<nz; k++) j[k] = (PetscInt) jj[k];
83: for (k=0; k<mat->rmap->n; k++) aij->ilen[k] = aij->imax[k] = aij->i[k+1] - aij->i[k];
85: mat->nonzerostate++; /* since the nonzero structure can change anytime force the Inode information to always be rebuilt */
86: MatAssemblyBegin(mat,MAT_FINAL_ASSEMBLY);
87: MatAssemblyEnd(mat,MAT_FINAL_ASSEMBLY);
88: return(0);
89: }
91: PETSC_EXTERN PetscErrorCode MatlabEngineGet_SeqAIJ(PetscObject obj,void *mengine)
92: {
94: Mat mat = (Mat)obj;
95: mxArray *mmat;
98: mmat = engGetVariable((Engine*)mengine,obj->name);
99: MatSeqAIJFromMatlab(mmat,mat);
100: return(0);
101: }
103: PetscErrorCode MatSolve_Matlab(Mat A,Vec b,Vec x)
104: {
106: const char *_A,*_b,*_x;
109: /* make sure objects have names; use default if not */
110: PetscObjectName((PetscObject)b);
111: PetscObjectName((PetscObject)x);
113: PetscObjectGetName((PetscObject)A,&_A);
114: PetscObjectGetName((PetscObject)b,&_b);
115: PetscObjectGetName((PetscObject)x,&_x);
116: PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)b);
117: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = u%s\\(l%s\\(p%s*%s));",_x,_A,_A,_A,_b);
118: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_b);
119: /* PetscMatlabEnginePrintOutput(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),stdout); */
120: PetscMatlabEngineGet(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)x);
121: return(0);
122: }
124: PetscErrorCode MatLUFactorNumeric_Matlab(Mat F,Mat A,const MatFactorInfo *info)
125: {
127: size_t len;
128: char *_A,*name;
129: PetscReal dtcol = info->dtcol;
132: if (F->factortype == MAT_FACTOR_ILU || info->dt > 0) {
133: /* the ILU form is not currently registered */
134: if (info->dtcol == PETSC_DEFAULT) dtcol = .01;
135: F->ops->solve = MatSolve_Matlab;
136: F->factortype = MAT_FACTOR_LU;
138: PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)A);
139: _A = ((PetscObject)A)->name;
140: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"info_%s = struct('droptol',%g,'thresh',%g);",_A,info->dt,dtcol);
141: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"[l_%s,u_%s,p_%s] = luinc(%s',info_%s);",_A,_A,_A,_A,_A);
142: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_A);
144: PetscStrlen(_A,&len);
145: PetscMalloc1(len+2,&name);
146: sprintf(name,"_%s",_A);
147: PetscObjectSetName((PetscObject)F,name);
148: PetscFree(name);
149: } else {
150: PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)A);
151: _A = ((PetscObject)A)->name;
152: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"[l_%s,u_%s,p_%s] = lu(%s',%g);",_A,_A,_A,_A,dtcol);
153: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_A);
154: PetscStrlen(_A,&len);
155: PetscMalloc1(len+2,&name);
156: sprintf(name,"_%s",_A);
157: PetscObjectSetName((PetscObject)F,name);
158: PetscFree(name);
160: F->ops->solve = MatSolve_Matlab;
161: }
162: return(0);
163: }
165: PetscErrorCode MatLUFactorSymbolic_Matlab(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info)
166: {
168: if (A->cmap->N != A->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"matrix must be square");
169: F->ops->lufactornumeric = MatLUFactorNumeric_Matlab;
170: F->assembled = PETSC_TRUE;
171: return(0);
172: }
174: PetscErrorCode MatFactorGetSolverType_seqaij_matlab(Mat A,MatSolverType *type)
175: {
177: *type = MATSOLVERMATLAB;
178: return(0);
179: }
181: PetscErrorCode MatDestroy_matlab(Mat A)
182: {
184: const char *_A;
187: PetscObjectGetName((PetscObject)A,&_A);
188: PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"delete %s l_%s u_%s;",_A,_A,_A);
189: return(0);
190: }
192: PETSC_EXTERN PetscErrorCode MatGetFactor_seqaij_matlab(Mat A,MatFactorType ftype,Mat *F)
193: {
197: if (A->cmap->N != A->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"matrix must be square");
198: MatCreate(PetscObjectComm((PetscObject)A),F);
199: MatSetSizes(*F,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);
200: PetscStrallocpy("matlab",&((PetscObject)*F)->type_name);
201: MatSetUp(*F);
203: (*F)->ops->destroy = MatDestroy_matlab;
204: (*F)->ops->getinfo = MatGetInfo_External;
205: (*F)->ops->lufactorsymbolic = MatLUFactorSymbolic_Matlab;
206: (*F)->ops->ilufactorsymbolic = MatLUFactorSymbolic_Matlab;
208: PetscObjectComposeFunction((PetscObject)(*F),"MatFactorGetSolverType_C",MatFactorGetSolverType_seqaij_matlab);
210: (*F)->factortype = ftype;
211: PetscFree((*F)->solvertype);
212: PetscStrallocpy(MATSOLVERMATLAB,&(*F)->solvertype);
213: return(0);
214: }
217: PETSC_EXTERN PetscErrorCode MatSolverTypeRegister_Matlab(void)
218: {
222: MatSolverTypeRegister(MATSOLVERMATLAB,MATSEQAIJ, MAT_FACTOR_LU,MatGetFactor_seqaij_matlab);
223: return(0);
224: }
226: /* --------------------------------------------------------------------------------*/
228: PetscErrorCode MatView_Info_Matlab(Mat A,PetscViewer viewer)
229: {
233: PetscViewerASCIIPrintf(viewer,"MATLAB run parameters: -- not written yet!\n");
234: return(0);
235: }
237: PetscErrorCode MatView_Matlab(Mat A,PetscViewer viewer)
238: {
239: PetscErrorCode ierr;
240: PetscBool iascii;
241: PetscViewerFormat format;
244: MatView_SeqAIJ(A,viewer);
245: PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);
246: if (iascii) {
247: PetscViewerGetFormat(viewer,&format);
248: if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) {
249: MatView_Info_Matlab(A,viewer);
250: }
251: }
252: return(0);
253: }
256: /*MC
257: MATSOLVERMATLAB - "matlab" - Providing direct solver LU for sequential aij matrix via the external package MATLAB.
260: Works with MATSEQAIJ matrices.
262: Options Database Keys:
263: . -pc_factor_mat_solver_type matlab - selects MATLAB to do the sparse factorization
265: Notes:
266: You must ./configure with the options --with-matlab --with-matlab-engine
268: Level: beginner
270: .seealso: PCLU
272: .seealso: PCFactorSetMatSolverType(), MatSolverType
273: M*/