xref: /petsc/src/mat/tests/ex62.c (revision a2fddd78f770fa4fc19a8af67e65be331f27d92b) 
1 
2 static char help[] = "Test Matrix products for AIJ matrices\n\
3 Input arguments are:\n\
4   -fA <input_file> -fB <input_file> -fC <input_file>: file to load\n\n";
5 /* Example of usage:
6    ./ex62 -fA <A_binary> -fB <B_binary>
7    mpiexec -n 3 ./ex62 -fA medium -fB medium
8 */
9 
10 #include <petscmat.h>
11 
12 /*
13      B = A - B
14      norm = norm(B)
15 */
16 PetscErrorCode MatNormDifference(Mat A,Mat B,PetscReal *norm)
17 {
18   PetscErrorCode ierr;
19 
20   PetscFunctionBegin;
21   ierr = MatAXPY(B,-1.0,A,DIFFERENT_NONZERO_PATTERN);CHKERRQ(ierr);
22   ierr = MatNorm(B,NORM_FROBENIUS,norm);CHKERRQ(ierr);
23   PetscFunctionReturn(0);
24 }
25 
26 int main(int argc,char **args)
27 {
28   Mat            A,A_save,B,C,P,C1,R;
29   PetscViewer    viewer;
30   PetscErrorCode ierr;
31   PetscMPIInt    size,rank;
32   PetscInt       i,j,*idxn,PM,PN = PETSC_DECIDE,rstart,rend;
33   PetscReal      norm;
34   PetscRandom    rdm;
35   char           file[2][PETSC_MAX_PATH_LEN] = { "", ""};
36   PetscScalar    *a,rval,alpha;
37   PetscBool      Test_MatMatMult=PETSC_TRUE,Test_MatTrMat=PETSC_TRUE,Test_MatMatTr=PETSC_TRUE;
38   PetscBool      Test_MatPtAP=PETSC_TRUE,Test_MatRARt=PETSC_TRUE,flg,seqaij,flgA,flgB;
39   MatInfo        info;
40   PetscInt       nzp  = 5; /* num of nonzeros in each row of P */
41   MatType        mattype;
42   const char     *deft = MATAIJ;
43   char           A_mattype[256], B_mattype[256];
44   PetscInt       mcheck = 10;
45 
46   ierr = PetscInitialize(&argc,&args,(char*)0,help);if (ierr) return ierr;
47   ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr);
48   ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRMPI(ierr);
49 
50   /*  Load the matrices A_save and B */
51   ierr = PetscOptionsBegin(PETSC_COMM_WORLD,"","","");CHKERRQ(ierr);
52   ierr = PetscOptionsInt("-PN","Number of columns of P","",PN,&PN,NULL);CHKERRQ(ierr);
53   ierr = PetscOptionsInt("-mcheck","Number of matmult checks","",mcheck,&mcheck,NULL);CHKERRQ(ierr);
54   ierr = PetscOptionsString("-fA","Path for matrix A","",file[0],file[0],sizeof(file[0]),&flg);CHKERRQ(ierr);
55   if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_USER_INPUT,"Must indicate a file name for matrix A with the -fA option.");
56   ierr = PetscOptionsString("-fB","Path for matrix B","",file[1],file[1],sizeof(file[1]),&flg);CHKERRQ(ierr);
57   ierr = PetscOptionsFList("-A_mat_type","Matrix type","MatSetType",MatList,deft,A_mattype,256,&flgA);CHKERRQ(ierr);
58   ierr = PetscOptionsFList("-B_mat_type","Matrix type","MatSetType",MatList,deft,B_mattype,256,&flgB);CHKERRQ(ierr);
59   ierr = PetscOptionsEnd();CHKERRQ(ierr);
60 
61   ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[0],FILE_MODE_READ,&viewer);CHKERRQ(ierr);
62   ierr = MatCreate(PETSC_COMM_WORLD,&A_save);CHKERRQ(ierr);
63   ierr = MatLoad(A_save,viewer);CHKERRQ(ierr);
64   ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
65 
66   if (flg) {
67     ierr = PetscViewerBinaryOpen(PETSC_COMM_WORLD,file[1],FILE_MODE_READ,&viewer);CHKERRQ(ierr);
68     ierr = MatCreate(PETSC_COMM_WORLD,&B);CHKERRQ(ierr);
69     ierr = MatLoad(B,viewer);CHKERRQ(ierr);
70     ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr);
71   } else {
72     ierr = PetscObjectReference((PetscObject)A_save);CHKERRQ(ierr);
73     B = A_save;
74   }
75 
76   if (flgA) {
77     ierr = MatConvert(A_save,A_mattype,MAT_INPLACE_MATRIX,&A_save);CHKERRQ(ierr);
78   }
79   if (flgB) {
80     ierr = MatConvert(B,B_mattype,MAT_INPLACE_MATRIX,&B);CHKERRQ(ierr);
81   }
82   ierr = MatSetFromOptions(A_save);CHKERRQ(ierr);
83   ierr = MatSetFromOptions(B);CHKERRQ(ierr);
84 
85   ierr = MatGetType(B,&mattype);CHKERRQ(ierr);
86 
87   ierr = PetscMalloc(nzp*(sizeof(PetscInt)+sizeof(PetscScalar)),&idxn);CHKERRQ(ierr);
88   a    = (PetscScalar*)(idxn + nzp);
89 
90   ierr = PetscRandomCreate(PETSC_COMM_WORLD,&rdm);CHKERRQ(ierr);
91   ierr = PetscRandomSetFromOptions(rdm);CHKERRQ(ierr);
92 
93   /* 1) MatMatMult() */
94   /* ----------------*/
95   if (Test_MatMatMult) {
96     ierr = MatDuplicate(A_save,MAT_COPY_VALUES,&A);CHKERRQ(ierr);
97 
98     /* (1.1) Test developer API */
99     ierr = MatProductCreate(A,B,NULL,&C);CHKERRQ(ierr);
100     ierr = MatSetOptionsPrefix(C,"AB_");CHKERRQ(ierr);
101     ierr = MatProductSetType(C,MATPRODUCT_AB);CHKERRQ(ierr);
102     ierr = MatProductSetAlgorithm(C,MATPRODUCTALGORITHM_DEFAULT);CHKERRQ(ierr);
103     ierr = MatProductSetFill(C,PETSC_DEFAULT);CHKERRQ(ierr);
104     ierr = MatProductSetFromOptions(C);CHKERRQ(ierr);
105     /* we can inquire about MATOP_PRODUCTSYMBOLIC even if the destination matrix type has not been set yet */
106     ierr = MatHasOperation(C,MATOP_PRODUCTSYMBOLIC,&flg);CHKERRQ(ierr);
107     ierr = MatProductSymbolic(C);CHKERRQ(ierr);
108     ierr = MatProductNumeric(C);CHKERRQ(ierr);
109     ierr = MatMatMultEqual(A,B,C,mcheck,&flg);CHKERRQ(ierr);
110     if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error in C=A*B");
111 
112     /* Test reuse symbolic C */
113     alpha = 0.9;
114     ierr = MatScale(A,alpha);CHKERRQ(ierr);
115     ierr = MatProductNumeric(C);CHKERRQ(ierr);
116 
117     ierr = MatMatMultEqual(A,B,C,mcheck,&flg);CHKERRQ(ierr);
118     if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error in C=A*B");
119     ierr = MatDestroy(&C);CHKERRQ(ierr);
120 
121     /* (1.2) Test user driver */
122     ierr = MatMatMult(A,B,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
123 
124     /* Test MAT_REUSE_MATRIX - reuse symbolic C */
125     alpha = 1.0;
126     for (i=0; i<2; i++) {
127       alpha -= 0.1;
128       ierr   = MatScale(A,alpha);CHKERRQ(ierr);
129       ierr   = MatMatMult(A,B,MAT_REUSE_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
130     }
131     ierr = MatMatMultEqual(A,B,C,mcheck,&flg);CHKERRQ(ierr);
132     if (!flg) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Error: MatMatMult()");
133     ierr = MatDestroy(&A);CHKERRQ(ierr);
134 
135     /* Test MatProductClear() */
136     ierr = MatProductClear(C);CHKERRQ(ierr);
137     ierr = MatDestroy(&C);CHKERRQ(ierr);
138 
139     /* Test MatMatMult() for dense and aij matrices */
140     ierr = PetscObjectTypeCompareAny((PetscObject)A,&flg,MATSEQAIJ,MATMPIAIJ,"");CHKERRQ(ierr);
141     if (flg) {
142       ierr = MatConvert(A_save,MATDENSE,MAT_INITIAL_MATRIX,&A);CHKERRQ(ierr);
143       ierr = MatMatMult(A,B,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
144       ierr = MatDestroy(&C);CHKERRQ(ierr);
145       ierr = MatDestroy(&A);CHKERRQ(ierr);
146     }
147   }
148 
149   /* Create P and R = P^T  */
150   /* --------------------- */
151   ierr = MatGetSize(B,&PM,NULL);CHKERRQ(ierr);
152   if (PN < 0) PN = PM/2;
153   ierr = MatCreate(PETSC_COMM_WORLD,&P);CHKERRQ(ierr);
154   ierr = MatSetSizes(P,PETSC_DECIDE,PETSC_DECIDE,PM,PN);CHKERRQ(ierr);
155   ierr = MatSetType(P,mattype);CHKERRQ(ierr);
156   ierr = MatSeqAIJSetPreallocation(P,nzp,NULL);CHKERRQ(ierr);
157   ierr = MatMPIAIJSetPreallocation(P,nzp,NULL,nzp,NULL);CHKERRQ(ierr);
158   ierr = MatGetOwnershipRange(P,&rstart,&rend);CHKERRQ(ierr);
159   for (i=0; i<nzp; i++) {
160     ierr = PetscRandomGetValue(rdm,&a[i]);CHKERRQ(ierr);
161   }
162   for (i=rstart; i<rend; i++) {
163     for (j=0; j<nzp; j++) {
164       ierr    = PetscRandomGetValue(rdm,&rval);CHKERRQ(ierr);
165       idxn[j] = (PetscInt)(PetscRealPart(rval)*PN);
166     }
167     ierr = MatSetValues(P,1,&i,nzp,idxn,a,ADD_VALUES);CHKERRQ(ierr);
168   }
169   ierr = MatAssemblyBegin(P,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
170   ierr = MatAssemblyEnd(P,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr);
171   ierr = MatSetFromOptions(P);CHKERRQ(ierr);
172 
173   ierr = MatTranspose(P,MAT_INITIAL_MATRIX,&R);CHKERRQ(ierr);
174   ierr = MatSetFromOptions(R);CHKERRQ(ierr);
175 
176   /* 2) MatTransposeMatMult() */
177   /* ------------------------ */
178   if (Test_MatTrMat) {
179     /* (2.1) Test developer driver C = P^T*B */
180     ierr = MatProductCreate(P,B,NULL,&C);CHKERRQ(ierr);
181     ierr = MatSetOptionsPrefix(C,"AtB_");CHKERRQ(ierr);
182     ierr = MatProductSetType(C,MATPRODUCT_AtB);CHKERRQ(ierr);
183     ierr = MatProductSetAlgorithm(C,MATPRODUCTALGORITHM_DEFAULT);CHKERRQ(ierr);
184     ierr = MatProductSetFill(C,PETSC_DEFAULT);CHKERRQ(ierr);
185     ierr = MatProductSetFromOptions(C);CHKERRQ(ierr);
186     ierr = MatProductSymbolic(C);CHKERRQ(ierr); /* equivalent to MatSetUp() */
187     ierr = MatSetOption(C,MAT_USE_INODES,PETSC_FALSE);CHKERRQ(ierr); /* illustrate how to call MatSetOption() */
188     ierr = MatProductNumeric(C);CHKERRQ(ierr);
189     ierr = MatProductNumeric(C);CHKERRQ(ierr); /* test reuse symbolic C */
190 
191     ierr = MatTransposeMatMultEqual(P,B,C,mcheck,&flg);CHKERRQ(ierr);
192     if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error: developer driver C = P^T*B");
193     ierr = MatDestroy(&C);CHKERRQ(ierr);
194 
195     /* (2.2) Test user driver C = P^T*B */
196     ierr = MatTransposeMatMult(P,B,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
197     ierr = MatTransposeMatMult(P,B,MAT_REUSE_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
198     ierr = MatGetInfo(C,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr);
199     ierr = MatProductClear(C);CHKERRQ(ierr);
200 
201     /* Compare P^T*B and R*B */
202     ierr = MatMatMult(R,B,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C1);CHKERRQ(ierr);
203     ierr = MatNormDifference(C,C1,&norm);CHKERRQ(ierr);
204     if (norm > PETSC_SMALL) SETERRQ1(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error in MatTransposeMatMult(): %g",(double)norm);
205     ierr = MatDestroy(&C1);CHKERRQ(ierr);
206 
207     /* Test MatDuplicate() of C=P^T*B */
208     ierr = MatDuplicate(C,MAT_COPY_VALUES,&C1);CHKERRQ(ierr);
209     ierr = MatDestroy(&C1);CHKERRQ(ierr);
210     ierr = MatDestroy(&C);CHKERRQ(ierr);
211   }
212 
213   /* 3) MatMatTransposeMult() */
214   /* ------------------------ */
215   if (Test_MatMatTr) {
216     /* C = B*R^T */
217     ierr = PetscObjectBaseTypeCompare((PetscObject)B,MATSEQAIJ,&seqaij);CHKERRQ(ierr);
218     if (seqaij) {
219       ierr = MatMatTransposeMult(B,R,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
220       ierr = MatSetOptionsPrefix(C,"ABt_");CHKERRQ(ierr); /* enable '-ABt_' for matrix C */
221       ierr = MatGetInfo(C,MAT_GLOBAL_SUM,&info);CHKERRQ(ierr);
222 
223       /* Test MAT_REUSE_MATRIX - reuse symbolic C */
224       ierr = MatMatTransposeMult(B,R,MAT_REUSE_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
225 
226       /* Check */
227       ierr = MatMatMult(B,P,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C1);CHKERRQ(ierr);
228       ierr = MatNormDifference(C,C1,&norm);CHKERRQ(ierr);
229       if (norm > PETSC_SMALL) SETERRQ1(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error in MatMatTransposeMult() %g",(double)norm);
230       ierr = MatDestroy(&C1);CHKERRQ(ierr);
231       ierr = MatDestroy(&C);CHKERRQ(ierr);
232     }
233   }
234 
235   /* 4) Test MatPtAP() */
236   /*-------------------*/
237   if (Test_MatPtAP) {
238     ierr = MatDuplicate(A_save,MAT_COPY_VALUES,&A);CHKERRQ(ierr);
239 
240     /* (4.1) Test developer API */
241     ierr = MatProductCreate(A,P,NULL,&C);CHKERRQ(ierr);
242     ierr = MatSetOptionsPrefix(C,"PtAP_");CHKERRQ(ierr);
243     ierr = MatProductSetType(C,MATPRODUCT_PtAP);CHKERRQ(ierr);
244     ierr = MatProductSetAlgorithm(C,MATPRODUCTALGORITHM_DEFAULT);CHKERRQ(ierr);
245     ierr = MatProductSetFill(C,PETSC_DEFAULT);CHKERRQ(ierr);
246     ierr = MatProductSetFromOptions(C);CHKERRQ(ierr);
247     ierr = MatProductSymbolic(C);CHKERRQ(ierr);
248     ierr = MatProductNumeric(C);CHKERRQ(ierr);
249     ierr = MatPtAPMultEqual(A,P,C,mcheck,&flg);CHKERRQ(ierr);
250     if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error in MatProduct_PtAP");
251     ierr = MatProductNumeric(C);CHKERRQ(ierr); /* reuse symbolic C */
252 
253     ierr = MatPtAPMultEqual(A,P,C,mcheck,&flg);CHKERRQ(ierr);
254     if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error in MatProduct_PtAP");
255     ierr = MatDestroy(&C);CHKERRQ(ierr);
256 
257     /* (4.2) Test user driver */
258     ierr = MatPtAP(A,P,MAT_INITIAL_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
259 
260     /* Test MAT_REUSE_MATRIX - reuse symbolic C */
261     alpha = 1.0;
262     for (i=0; i<2; i++) {
263       alpha -= 0.1;
264       ierr   = MatScale(A,alpha);CHKERRQ(ierr);
265       ierr   = MatPtAP(A,P,MAT_REUSE_MATRIX,PETSC_DEFAULT,&C);CHKERRQ(ierr);
266     }
267     ierr = MatPtAPMultEqual(A,P,C,mcheck,&flg);CHKERRQ(ierr);
268     if (!flg) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_PLIB,"Error in MatPtAP");
269 
270     /* 5) Test MatRARt() */
271     /* ----------------- */
272     if (Test_MatRARt) {
273       Mat RARt;
274       ierr = MatTranspose(P,MAT_REUSE_MATRIX,&R);CHKERRQ(ierr);
275 
276       /* (5.1) Test developer driver RARt = R*A*Rt */
277       ierr = MatProductCreate(A,R,NULL,&RARt);CHKERRQ(ierr);
278       ierr = MatSetOptionsPrefix(RARt,"RARt_");CHKERRQ(ierr);
279       ierr = MatProductSetType(RARt,MATPRODUCT_RARt);CHKERRQ(ierr);
280       ierr = MatProductSetAlgorithm(RARt,MATPRODUCTALGORITHM_DEFAULT);CHKERRQ(ierr);
281       ierr = MatProductSetFill(RARt,PETSC_DEFAULT);CHKERRQ(ierr);
282       ierr = MatProductSetFromOptions(RARt);CHKERRQ(ierr);
283       ierr = MatProductSymbolic(RARt);CHKERRQ(ierr); /* equivalent to MatSetUp() */
284       ierr = MatSetOption(RARt,MAT_USE_INODES,PETSC_FALSE);CHKERRQ(ierr); /* illustrate how to call MatSetOption() */
285       ierr = MatProductNumeric(RARt);CHKERRQ(ierr);
286       ierr = MatProductNumeric(RARt);CHKERRQ(ierr); /* test reuse symbolic RARt */
287       ierr = MatDestroy(&RARt);CHKERRQ(ierr);
288 
289       /* (2.2) Test user driver RARt = R*A*Rt */
290       ierr = MatRARt(A,R,MAT_INITIAL_MATRIX,2.0,&RARt);CHKERRQ(ierr);
291       ierr = MatRARt(A,R,MAT_REUSE_MATRIX,2.0,&RARt);CHKERRQ(ierr);
292 
293       ierr = MatNormDifference(C,RARt,&norm);CHKERRQ(ierr);
294       if (norm > PETSC_SMALL) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_PLIB,"|PtAP - RARt| = %g",(double)norm);
295       ierr = MatDestroy(&RARt);CHKERRQ(ierr);
296     }
297 
298     ierr = MatDestroy(&A);CHKERRQ(ierr);
299     ierr = MatDestroy(&C);CHKERRQ(ierr);
300   }
301 
302   /* Destroy objects */
303   ierr = PetscRandomDestroy(&rdm);CHKERRQ(ierr);
304   ierr = PetscFree(idxn);CHKERRQ(ierr);
305 
306   ierr = MatDestroy(&A_save);CHKERRQ(ierr);
307   ierr = MatDestroy(&B);CHKERRQ(ierr);
308   ierr = MatDestroy(&P);CHKERRQ(ierr);
309   ierr = MatDestroy(&R);CHKERRQ(ierr);
310 
311   PetscFinalize();
312   return ierr;
313 }
314 
315 /*TEST
316    test:
317      suffix: 1
318      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
319      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium
320      output_file: output/ex62_1.out
321 
322    test:
323      suffix: 2_ab_scalable
324      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
325      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via scalable -matmatmult_via scalable -AtB_matproduct_atb_via outerproduct -mattransposematmult_via outerproduct
326      output_file: output/ex62_1.out
327 
328    test:
329      suffix: 3_ab_scalable_fast
330      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
331      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via scalable_fast -matmatmult_via scalable_fast -matmattransmult_via color
332      output_file: output/ex62_1.out
333 
334    test:
335      suffix: 4_ab_heap
336      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
337      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via heap -matmatmult_via heap -PtAP_matproduct_ptap_via rap -matptap_via rap
338      output_file: output/ex62_1.out
339 
340    test:
341      suffix: 5_ab_btheap
342      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
343      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via btheap -matmatmult_via btheap -matrart_via r*art
344      output_file: output/ex62_1.out
345 
346    test:
347      suffix: 6_ab_llcondensed
348      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
349      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via llcondensed -matmatmult_via llcondensed -matrart_via coloring_rart
350      output_file: output/ex62_1.out
351 
352    test:
353      suffix: 7_ab_rowmerge
354      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
355      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via rowmerge -matmatmult_via rowmerge
356      output_file: output/ex62_1.out
357 
358    test:
359      suffix: 8_ab_hypre
360      requires: hypre datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
361      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via hypre -matmatmult_via hypre -PtAP_matproduct_ptap_via hypre -matptap_via hypre
362      output_file: output/ex62_1.out
363 
364    test:
365      suffix: 9_mkl
366      TODO: broken MatScale?
367      requires: mkl datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
368      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -A_mat_type aijmkl -B_mat_type aijmkl
369      output_file: output/ex62_1.out
370 
371    test:
372      suffix: 10
373      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
374      nsize: 3
375      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium
376      output_file: output/ex62_1.out
377 
378    test:
379      suffix: 10_backend
380      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
381      nsize: 3
382      args: -fA ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via backend -matmatmult_via backend -AtB_matproduct_atb_via backend -mattransposematmult_via backend -PtAP_matproduct_ptap_via backend -matptap_via backend
383      output_file: output/ex62_1.out
384 
385    test:
386      suffix: 11_ab_scalable
387      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
388      nsize: 3
389      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via scalable -matmatmult_via scalable -AtB_matproduct_atb_via scalable -mattransposematmult_via scalable
390      output_file: output/ex62_1.out
391 
392    test:
393      suffix: 12_ab_seqmpi
394      requires: datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
395      nsize: 3
396      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via seqmpi -matmatmult_via seqmpi -AtB_matproduct_atb_via at*b -mattransposematmult_via at*b
397      output_file: output/ex62_1.out
398 
399    test:
400      suffix: 13_ab_hypre
401      requires: hypre datafilespath !complex double !define(PETSC_USE_64BIT_INDICES)
402      nsize: 3
403      args: -fA ${DATAFILESPATH}/matrices/medium -fB ${DATAFILESPATH}/matrices/medium -AB_matproduct_ab_via hypre -matmatmult_via hypre -PtAP_matproduct_ptap_via hypre -matptap_via hypre
404      output_file: output/ex62_1.out
405 
406    test:
407      suffix: 14_seqaij
408      requires: !complex double !define(PETSC_USE_64BIT_INDICES)
409      args: -fA ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system -fB ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system
410      output_file: output/ex62_1.out
411 
412    test:
413      suffix: 14_seqaijcusparse
414      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES)
415      args: -A_mat_type aijcusparse -B_mat_type aijcusparse -mat_form_explicit_transpose -fA ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system -fB ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system
416      output_file: output/ex62_1.out
417 
418    test:
419      suffix: 14_mpiaijcusparse_seq
420      nsize: 1
421      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES)
422      args: -A_mat_type mpiaijcusparse -B_mat_type mpiaijcusparse -mat_form_explicit_transpose -fA ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system -fB ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system
423      output_file: output/ex62_1.out
424 
425    test:
426      suffix: 14_mpiaijcusparse
427      nsize: 3
428      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES)
429      args: -A_mat_type mpiaijcusparse -B_mat_type mpiaijcusparse -mat_form_explicit_transpose -fA ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system -fB ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system
430      output_file: output/ex62_1.out
431 
432    test:
433      suffix: 14_seqaijkokkos
434      requires: kokkos_kernels !complex double !define(PETSC_USE_64BIT_INDICES)
435      args: -A_mat_type aijkokkos -B_mat_type aijkokkos -fA ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system -fB ${wPETSC_DIR}/share/petsc/datafiles/matrices/tiny_system
436      output_file: output/ex62_1.out
437 
438    # these tests use matrices with many zero rows
439    test:
440      suffix: 15_seqaijcusparse
441      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES) datafilespath
442      args: -A_mat_type aijcusparse -mat_form_explicit_transpose -fA ${DATAFILESPATH}/matrices/matmatmult/A4.BGriffith
443      output_file: output/ex62_1.out
444 
445    test:
446      suffix: 15_mpiaijcusparse_seq
447      nsize: 1
448      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES) datafilespath
449      args: -A_mat_type mpiaijcusparse -mat_form_explicit_transpose -fA ${DATAFILESPATH}/matrices/matmatmult/A4.BGriffith
450      output_file: output/ex62_1.out
451 
452    test:
453      nsize: 3
454      suffix: 15_mpiaijcusparse
455      requires: cuda !complex double !define(PETSC_USE_64BIT_INDICES) datafilespath
456      args: -A_mat_type mpiaijcusparse -mat_form_explicit_transpose -fA ${DATAFILESPATH}/matrices/matmatmult/A4.BGriffith
457      output_file: output/ex62_1.out
458 
459 TEST*/
460