Actual source code: ex112.c
petsc-3.7.3 2016-08-01
1: static char help[] = "Test sequential FFTW interface \n\n";
3: /*
4: Compiling the code:
5: This code uses the complex numbers version of PETSc, so configure
6: must be run to enable this
8: */
10: #include <petscmat.h>
13: int main(int argc,char **args)
14: {
15: typedef enum {RANDOM, CONSTANT, TANH, NUM_FUNCS} FuncType;
16: const char *funcNames[NUM_FUNCS] = {"random", "constant", "tanh"};
17: Mat A;
18: PetscMPIInt size;
19: PetscInt n = 10,N,ndim=4,dim[4],DIM,i;
20: Vec x,y,z;
21: PetscScalar s;
22: PetscRandom rdm;
23: PetscReal enorm;
24: PetscInt func;
25: FuncType function = RANDOM;
26: PetscBool view = PETSC_FALSE;
29: PetscInitialize(&argc,&args,(char*)0,help);
30: #if !defined(PETSC_USE_COMPLEX)
31: SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This example requires complex numbers");
32: #endif
33: MPI_Comm_size(PETSC_COMM_WORLD, &size);
34: if (size != 1) SETERRQ(PETSC_COMM_WORLD,PETSC_ERR_SUP, "This is a uniprocessor example only!");
35: PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "FFTW Options", "ex112");
36: PetscOptionsEList("-function", "Function type", "ex112", funcNames, NUM_FUNCS, funcNames[function], &func, NULL);
37: PetscOptionsBool("-vec_view_draw", "View the functions", "ex112", view, &view, NULL);
38: function = (FuncType) func;
39: PetscOptionsEnd();
41: for (DIM = 0; DIM < ndim; DIM++) {
42: dim[DIM] = n; /* size of transformation in DIM-dimension */
43: }
44: PetscRandomCreate(PETSC_COMM_SELF, &rdm);
45: PetscRandomSetFromOptions(rdm);
47: for (DIM = 1; DIM < 5; DIM++) {
48: for (i = 0, N = 1; i < DIM; i++) N *= dim[i];
49: PetscPrintf(PETSC_COMM_SELF, "\n %d-D: FFTW on vector of size %d \n",DIM,N);
51: /* create FFTW object */
52: MatCreateFFT(PETSC_COMM_SELF,DIM,dim,MATFFTW,&A);
54: /* create vectors of length N=n^DIM */
55: MatCreateVecs(A,&x,&y);
56: MatCreateVecs(A,&z,NULL);
57: PetscObjectSetName((PetscObject) x, "Real space vector");
58: PetscObjectSetName((PetscObject) y, "Frequency space vector");
59: PetscObjectSetName((PetscObject) z, "Reconstructed vector");
61: /* set values of space vector x */
62: if (function == RANDOM) {
63: VecSetRandom(x, rdm);
64: } else if (function == CONSTANT) {
65: VecSet(x, 1.0);
66: } else if (function == TANH) {
67: PetscScalar *a;
68: VecGetArray(x, &a);
69: for (i = 0; i < N; ++i) {
70: a[i] = tanh((i - N/2.0)*(10.0/N));
71: }
72: VecRestoreArray(x, &a);
73: }
74: if (view) {VecView(x, PETSC_VIEWER_DRAW_WORLD);}
76: /* apply FFTW_FORWARD and FFTW_BACKWARD several times on same x, y, and z */
77: for (i=0; i<3; i++) {
78: MatMult(A,x,y);
79: if (view && i == 0) {VecView(y, PETSC_VIEWER_DRAW_WORLD);}
80: MatMultTranspose(A,y,z);
82: /* compare x and z. FFTW computes an unnormalized DFT, thus z = N*x */
83: s = 1.0/(PetscReal)N;
84: VecScale(z,s);
85: if (view && i == 0) {VecView(z, PETSC_VIEWER_DRAW_WORLD);}
86: VecAXPY(z,-1.0,x);
87: VecNorm(z,NORM_1,&enorm);
88: if (enorm > 1.e-11) {
89: PetscPrintf(PETSC_COMM_SELF," Error norm of |x - z| %g\n",(double)enorm);
90: }
91: }
93: /* apply FFTW_FORWARD and FFTW_BACKWARD several times on different x */
94: for (i=0; i<3; i++) {
95: VecDestroy(&x);
96: VecCreateSeq(PETSC_COMM_SELF,N,&x);
97: VecSetRandom(x, rdm);
99: MatMult(A,x,y);
100: MatMultTranspose(A,y,z);
102: /* compare x and z. FFTW computes an unnormalized DFT, thus z = N*x */
103: s = 1.0/(PetscReal)N;
104: VecScale(z,s);
105: if (view && i == 0) {VecView(z, PETSC_VIEWER_DRAW_WORLD);}
106: VecAXPY(z,-1.0,x);
107: VecNorm(z,NORM_1,&enorm);
108: if (enorm > 1.e-11) {
109: PetscPrintf(PETSC_COMM_SELF," Error norm of new |x - z| %g\n",(double)enorm);
110: }
111: }
113: /* free spaces */
114: VecDestroy(&x);
115: VecDestroy(&y);
116: VecDestroy(&z);
117: MatDestroy(&A);
118: }
119: PetscRandomDestroy(&rdm);
120: PetscFinalize();
121: return 0;
122: }