xref: /petsc/src/mat/tests/ex153.c (revision df4cd43f92eaa320656440c40edb1046daee8f75)
1 static char help[] = "This program illustrates the use of PETSc-fftw interface for sequential real DFT\n";
2 #include <petscmat.h>
3 #include <fftw3-mpi.h>
4 int main(int argc, char **args)
5 {
6   PetscMPIInt rank, size;
7   PetscInt    N0 = 10, N1 = 10, N2 = 10, N3 = 10, N4 = 10, N = N0 * N1 * N2 * N3 * N4;
8   PetscRandom rdm;
9   PetscReal   enorm;
10   Vec         x, y, z, input, output;
11   Mat         A;
12   PetscInt    DIM, dim[5], vsize;
13   PetscReal   fac;
14 
15   PetscFunctionBeginUser;
16   PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
17 #if defined(PETSC_USE_COMPLEX)
18   SETERRQ(PETSC_COMM_WORLD, PETSC_ERR_SUP, "This example requires real numbers");
19 #endif
20   PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
21   PetscCallMPI(MPI_Comm_rank(PETSC_COMM_WORLD, &rank));
22 
23   PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "This is a uni-processor example only");
24   PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &rdm));
25   PetscCall(PetscRandomSetFromOptions(rdm));
26   PetscCall(VecCreate(PETSC_COMM_SELF, &input));
27   PetscCall(VecSetSizes(input, N, N));
28   PetscCall(VecSetFromOptions(input));
29   PetscCall(VecSetRandom(input, rdm));
30   PetscCall(VecDuplicate(input, &output));
31 
32   DIM    = 5;
33   dim[0] = N0;
34   dim[1] = N1;
35   dim[2] = N2;
36   dim[3] = N3;
37   dim[4] = N4;
38   PetscCall(MatCreateFFT(PETSC_COMM_SELF, DIM, dim, MATFFTW, &A));
39   PetscCall(MatCreateVecs(A, &x, &y));
40   PetscCall(MatCreateVecs(A, &z, NULL));
41 
42   PetscCall(VecGetSize(x, &vsize));
43   printf("The vector size  of input from the main routine is %d\n", vsize);
44 
45   PetscCall(VecGetSize(z, &vsize));
46   printf("The vector size of output from the main routine is %d\n", vsize);
47 
48   PetscCall(InputTransformFFT(A, input, x));
49 
50   PetscCall(MatMult(A, x, y));
51   PetscCall(MatMultTranspose(A, y, z));
52 
53   PetscCall(OutputTransformFFT(A, z, output));
54   fac = 1.0 / (PetscReal)N;
55   PetscCall(VecScale(output, fac));
56   /*
57   PetscCall(VecAssemblyBegin(input));
58   PetscCall(VecAssemblyEnd(input));
59   PetscCall(VecAssemblyBegin(output));
60   PetscCall(VecAssemblyEnd(output));
61 
62   PetscCall(VecView(input,PETSC_VIEWER_STDOUT_WORLD));
63   PetscCall(VecView(output,PETSC_VIEWER_STDOUT_WORLD));
64 */
65   PetscCall(VecAXPY(output, -1.0, input));
66   PetscCall(VecNorm(output, NORM_1, &enorm));
67   /*  if (enorm > 1.e-14) { */
68   PetscCall(PetscPrintf(PETSC_COMM_SELF, "  Error norm of |x - z| %e\n", enorm));
69   /*      } */
70 
71   PetscCall(VecDestroy(&output));
72   PetscCall(VecDestroy(&input));
73   PetscCall(VecDestroy(&x));
74   PetscCall(VecDestroy(&y));
75   PetscCall(VecDestroy(&z));
76   PetscCall(MatDestroy(&A));
77   PetscCall(PetscRandomDestroy(&rdm));
78   PetscCall(PetscFinalize());
79   return 0;
80 }
81