Actual source code: ex53.c

petsc-3.14.6 2021-03-30
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  2: static char help[] = "Tests various routines in MatMPIBAIJ format.\n";


  5: #include <petscmat.h>
  6: #define IMAX 15
  7: int main(int argc,char **args)
  8: {
  9:   Mat               A,B,C,At,Bt;
 10:   PetscViewer       fd;
 11:   char              file[PETSC_MAX_PATH_LEN];
 12:   PetscRandom       rand;
 13:   Vec               xx,yy,s1,s2;
 14:   PetscReal         s1norm,s2norm,rnorm,tol=1.e-10;
 15:   PetscInt          rstart,rend,rows[2],cols[2],m,n,i,j,M,N,ct,row,ncols1,ncols2,bs;
 16:   PetscMPIInt       rank,size;
 17:   PetscErrorCode    0;
 18:   const PetscInt    *cols1,*cols2;
 19:   PetscScalar       vals1[4],vals2[4],v;
 20:   const PetscScalar *v1,*v2;
 21:   PetscBool         flg;

 23:   PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
 24:   MPI_Comm_rank(PETSC_COMM_WORLD,&rank);
 25:   MPI_Comm_size(PETSC_COMM_WORLD,&size);

 27:   /* Check out if MatLoad() works */
 28:   PetscOptionsGetString(NULL,NULL,"-f",file,sizeof(file),&flg);
 29:   if (!flg) SETERRQ(PETSC_COMM_WORLD,1,"Input file not specified");
 30:   PetscViewerBinaryOpen(PETSC_COMM_WORLD,file,FILE_MODE_READ,&fd);
 31:   MatCreate(PETSC_COMM_WORLD,&A);
 32:   MatSetType(A,MATBAIJ);
 33:   MatLoad(A,fd);

 35:   MatConvert(A,MATAIJ,MAT_INITIAL_MATRIX,&B);
 36:   PetscViewerDestroy(&fd);

 38:   PetscRandomCreate(PETSC_COMM_WORLD,&rand);
 39:   PetscRandomSetFromOptions(rand);
 40:   MatGetLocalSize(A,&m,&n);
 41:   VecCreate(PETSC_COMM_WORLD,&xx);
 42:   VecSetSizes(xx,m,PETSC_DECIDE);
 43:   VecSetFromOptions(xx);
 44:   VecDuplicate(xx,&s1);
 45:   VecDuplicate(xx,&s2);
 46:   VecDuplicate(xx,&yy);
 47:   MatGetBlockSize(A,&bs);

 49:   /* Test MatNorm() */
 50:   MatNorm(A,NORM_FROBENIUS,&s1norm);
 51:   MatNorm(B,NORM_FROBENIUS,&s2norm);
 52:   rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
 53:   if (rnorm>tol) {
 54:     PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatNorm_FROBENIUS()- NormA=%16.14e NormB=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
 55:   }
 56:   MatNorm(A,NORM_INFINITY,&s1norm);
 57:   MatNorm(B,NORM_INFINITY,&s2norm);
 58:   rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
 59:   if (rnorm>tol) {
 60:     PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatNorm_INFINITY()- NormA=%16.14e NormB=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
 61:   }
 62:   MatNorm(A,NORM_1,&s1norm);
 63:   MatNorm(B,NORM_1,&s2norm);
 64:   rnorm = PetscAbsScalar(s2norm-s1norm)/s2norm;
 65:   if (rnorm>tol) {
 66:     PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatNorm_NORM_1()- NormA=%16.14e NormB=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
 67:   }

 69:   /* Test MatMult() */
 70:   for (i=0; i<IMAX; i++) {
 71:     VecSetRandom(xx,rand);
 72:     MatMult(A,xx,s1);
 73:     MatMult(B,xx,s2);
 74:     VecAXPY(s2,-1.0,s1);
 75:     VecNorm(s2,NORM_2,&rnorm);
 76:     if (rnorm>tol) {
 77:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatMult - Norm2=%16.14e bs = %D\n",rank,rnorm,bs);
 78:     }
 79:   }

 81:   /* test MatMultAdd() */
 82:   for (i=0; i<IMAX; i++) {
 83:     VecSetRandom(xx,rand);
 84:     VecSetRandom(yy,rand);
 85:     MatMultAdd(A,xx,yy,s1);
 86:     MatMultAdd(B,xx,yy,s2);
 87:     VecAXPY(s2,-1.0,s1);
 88:     VecNorm(s2,NORM_2,&rnorm);
 89:     if (rnorm>tol) {
 90:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatMultAdd - Norm2=%16.14e bs = %D\n",rank,rnorm,bs);
 91:     }
 92:   }

 94:   /* Test MatMultTranspose() */
 95:   for (i=0; i<IMAX; i++) {
 96:     VecSetRandom(xx,rand);
 97:     MatMultTranspose(A,xx,s1);
 98:     MatMultTranspose(B,xx,s2);
 99:     VecNorm(s1,NORM_2,&s1norm);
100:     VecNorm(s2,NORM_2,&s2norm);
101:     rnorm = s2norm-s1norm;
102:     if (rnorm<-tol || rnorm>tol) {
103:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatMultTranspose - Norm1=%16.14e Norm2=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
104:     }
105:   }
106:   /* Test MatMultTransposeAdd() */
107:   for (i=0; i<IMAX; i++) {
108:     VecSetRandom(xx,rand);
109:     VecSetRandom(yy,rand);
110:     MatMultTransposeAdd(A,xx,yy,s1);
111:     MatMultTransposeAdd(B,xx,yy,s2);
112:     VecNorm(s1,NORM_2,&s1norm);
113:     VecNorm(s2,NORM_2,&s2norm);
114:     rnorm = s2norm-s1norm;
115:     if (rnorm<-tol || rnorm>tol) {
116:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error: MatMultTransposeAdd - Norm1=%16.14e Norm2=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
117:     }
118:   }

120:   /* Check MatGetValues() */
121:   MatGetOwnershipRange(A,&rstart,&rend);
122:   MatGetSize(A,&M,&N);


125:   for (i=0; i<IMAX; i++) {
126:     /* Create random row numbers ad col numbers */
127:     PetscRandomGetValue(rand,&v);
128:     cols[0] = (int)(PetscRealPart(v)*N);
129:     PetscRandomGetValue(rand,&v);
130:     cols[1] = (int)(PetscRealPart(v)*N);
131:     PetscRandomGetValue(rand,&v);
132:     rows[0] = rstart + (int)(PetscRealPart(v)*m);
133:     PetscRandomGetValue(rand,&v);
134:     rows[1] = rstart + (int)(PetscRealPart(v)*m);

136:     MatGetValues(A,2,rows,2,cols,vals1);
137:     MatGetValues(B,2,rows,2,cols,vals2);


140:     for (j=0; j<4; j++) {
141:       if (vals1[j] != vals2[j]) {
142:         PetscPrintf(PETSC_COMM_SELF,"[%d]: Error: MatGetValues rstart = %2d  row = %2d col = %2d val1 = %e val2 = %e bs = %D\n",rank,rstart,rows[j/2],cols[j%2],PetscRealPart(vals1[j]),PetscRealPart(vals2[j]),bs);
143:       }
144:     }
145:   }

147:   /* Test MatGetRow()/ MatRestoreRow() */
148:   for (ct=0; ct<100; ct++) {
149:     PetscRandomGetValue(rand,&v);
150:     row  = rstart + (int)(PetscRealPart(v)*m);
151:     MatGetRow(A,row,&ncols1,&cols1,&v1);
152:     MatGetRow(B,row,&ncols2,&cols2,&v2);

154:     for (i=0,j=0; i<ncols1 && j<ncols2; j++) {
155:       while (cols2[j] != cols1[i]) i++;
156:       if (v1[i] != v2[j]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MatGetRow() failed - vals incorrect.");
157:     }
158:     if (j<ncols2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"MatGetRow() failed - cols incorrect");

160:     MatRestoreRow(A,row,&ncols1,&cols1,&v1);
161:     MatRestoreRow(B,row,&ncols2,&cols2,&v2);
162:   }

164:   /* Test MatConvert() */
165:   MatConvert(A,MATSAME,MAT_INITIAL_MATRIX,&C);

167:   /* See if MatMult Says both are same */
168:   for (i=0; i<IMAX; i++) {
169:     VecSetRandom(xx,rand);
170:     MatMult(A,xx,s1);
171:     MatMult(C,xx,s2);
172:     VecNorm(s1,NORM_2,&s1norm);
173:     VecNorm(s2,NORM_2,&s2norm);
174:     rnorm = s2norm-s1norm;
175:     if (rnorm<-tol || rnorm>tol) {
176:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error in MatConvert: MatMult - Norm1=%16.14e Norm2=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
177:     }
178:   }
179:   MatDestroy(&C);

181:   /* Test MatTranspose() */
182:   MatTranspose(A,MAT_INITIAL_MATRIX,&At);
183:   MatTranspose(B,MAT_INITIAL_MATRIX,&Bt);
184:   for (i=0; i<IMAX; i++) {
185:     VecSetRandom(xx,rand);
186:     MatMult(At,xx,s1);
187:     MatMult(Bt,xx,s2);
188:     VecNorm(s1,NORM_2,&s1norm);
189:     VecNorm(s2,NORM_2,&s2norm);
190:     rnorm = s2norm-s1norm;
191:     if (rnorm<-tol || rnorm>tol) {
192:       PetscPrintf(PETSC_COMM_SELF,"[%d] Error in MatConvert:MatMult - Norm1=%16.14e Norm2=%16.14e bs = %D\n",rank,s1norm,s2norm,bs);
193:     }
194:   }
195:   MatDestroy(&At);
196:   MatDestroy(&Bt);

198:   MatDestroy(&A);
199:   MatDestroy(&B);
200:   VecDestroy(&xx);
201:   VecDestroy(&yy);
202:   VecDestroy(&s1);
203:   VecDestroy(&s2);
204:   PetscRandomDestroy(&rand);
205:   PetscFinalize();
206:   return ierr;
207: }


210: /*TEST

212:    build:
213:       requires: !complex

215:    test:
216:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
217:       nsize: 3
218:       args: -matload_block_size 1 -f ${DATAFILESPATH}/matrices/small

220:    test:
221:       suffix: 2
222:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
223:       nsize: 3
224:       args: -matload_block_size 2 -f ${DATAFILESPATH}/matrices/small
225:       output_file: output/ex53_1.out

227:    test:
228:       suffix: 3
229:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
230:       nsize: 3
231:       args: -matload_block_size 4 -f ${DATAFILESPATH}/matrices/small
232:       output_file: output/ex53_1.out

234:    test:
235:       TODO: Matrix row/column sizes are not compatible with block size
236:       suffix: 4
237:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
238:       nsize: 3
239:       args: -matload_block_size 5 -f ${DATAFILESPATH}/matrices/small
240:       output_file: output/ex53_1.out

242:    test:
243:       suffix: 5
244:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
245:       nsize: 3
246:       args: -matload_block_size 6 -f ${DATAFILESPATH}/matrices/small
247:       output_file: output/ex53_1.out

249:    test:
250:       TODO: Matrix row/column sizes are not compatible with block size
251:       suffix: 6
252:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
253:       nsize: 3
254:       args: -matload_block_size 7 -f ${DATAFILESPATH}/matrices/small
255:       output_file: output/ex53_1.out

257:    test:
258:       TODO: Matrix row/column sizes are not compatible with block size
259:       suffix: 7
260:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
261:       nsize: 3
262:       args: -matload_block_size 8 -f ${DATAFILESPATH}/matrices/small
263:       output_file: output/ex53_1.out

265:    test:
266:       suffix: 8
267:       requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
268:       nsize: 4
269:       args: -matload_block_size 3 -f ${DATAFILESPATH}/matrices/small
270:       output_file: output/ex53_1.out

272: TEST*/