xref: /petsc/src/mat/tests/ex77.c (revision 609caa7c8c030312b00807b4f015fd827bb80932)

static char help[] = "Tests the various sequential routines in MatSBAIJ format. Same as ex74.c except diagonal entries of the matrices are zeros.\n";

#include <petscmat.h>

int main(int argc, char **args)
{
  Vec             x, y, b, s1, s2;
  Mat             A;  /* linear system matrix */
  Mat             sA; /* symmetric part of the matrices */
  PetscInt        n, mbs = 16, bs = 1, nz = 3, prob = 2, i, j, col[3], row, Ii, J, n1;
  const PetscInt *ip_ptr;
  PetscScalar     neg_one = -1.0, value[3], alpha = 0.1;
  PetscMPIInt     size;
  IS              ip, isrow, iscol;
  PetscRandom     rdm;
  PetscBool       reorder = PETSC_FALSE;
  MatInfo         minfo1, minfo2;
  PetscReal       norm1, norm2, tol = 10 * PETSC_SMALL;

  PetscFunctionBeginUser;
  PetscCall(PetscInitialize(&argc, &args, NULL, help));
  PetscCallMPI(MPI_Comm_size(PETSC_COMM_WORLD, &size));
  PetscCheck(size == 1, PETSC_COMM_WORLD, PETSC_ERR_WRONG_MPI_SIZE, "This is a uniprocessor example only!");
  PetscCall(PetscOptionsGetInt(NULL, NULL, "-bs", &bs, NULL));
  PetscCall(PetscOptionsGetInt(NULL, NULL, "-mbs", &mbs, NULL));

  n = mbs * bs;
  PetscCall(MatCreateSeqBAIJ(PETSC_COMM_WORLD, bs, n, n, nz, NULL, &A));
  PetscCall(MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));
  PetscCall(MatCreateSeqSBAIJ(PETSC_COMM_WORLD, bs, n, n, nz, NULL, &sA));
  PetscCall(MatSetOption(sA, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE));

  /* Test MatGetOwnershipRange() */
  PetscCall(MatGetOwnershipRange(A, &Ii, &J));
  PetscCall(MatGetOwnershipRange(sA, &i, &j));
  if (i - Ii || j - J) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatGetOwnershipRange() in MatSBAIJ format\n"));

  /* Assemble matrix */
  if (bs == 1) {
    PetscCall(PetscOptionsGetInt(NULL, NULL, "-test_problem", &prob, NULL));
    if (prob == 1) { /* tridiagonal matrix */
      value[0] = -1.0;
      value[1] = 2.0;
      value[2] = -1.0;
      for (i = 1; i < n - 1; i++) {
        col[0] = i - 1;
        col[1] = i;
        col[2] = i + 1;
        PetscCall(MatSetValues(A, 1, &i, 3, col, value, INSERT_VALUES));
        PetscCall(MatSetValues(sA, 1, &i, 3, col, value, INSERT_VALUES));
      }
      i      = n - 1;
      col[0] = 0;
      col[1] = n - 2;
      col[2] = n - 1;

      value[0] = 0.1;
      value[1] = -1;
      value[2] = 2;
      PetscCall(MatSetValues(A, 1, &i, 3, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &i, 3, col, value, INSERT_VALUES));

      i      = 0;
      col[0] = 0;
      col[1] = 1;
      col[2] = n - 1;

      value[0] = 2.0;
      value[1] = -1.0;
      value[2] = 0.1;
      PetscCall(MatSetValues(A, 1, &i, 3, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &i, 3, col, value, INSERT_VALUES));
    } else if (prob == 2) { /* matrix for the five point stencil */
      n1 = (PetscInt)(PetscSqrtReal((PetscReal)n) + 0.001);
      PetscCheck(n1 * n1 == n, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "sqrt(n) must be a positive integer!");
      for (i = 0; i < n1; i++) {
        for (j = 0; j < n1; j++) {
          Ii = j + n1 * i;
          if (i > 0) {
            J = Ii - n1;
            PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
            PetscCall(MatSetValues(sA, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
          }
          if (i < n1 - 1) {
            J = Ii + n1;
            PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
            PetscCall(MatSetValues(sA, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
          }
          if (j > 0) {
            J = Ii - 1;
            PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
            PetscCall(MatSetValues(sA, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
          }
          if (j < n1 - 1) {
            J = Ii + 1;
            PetscCall(MatSetValues(A, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
            PetscCall(MatSetValues(sA, 1, &Ii, 1, &J, &neg_one, INSERT_VALUES));
          }
        }
      }
    }
  } else { /* bs > 1 */
#if defined(DIAGB)
    for (block = 0; block < n / bs; block++) {
      /* diagonal blocks */
      value[0] = -1.0;
      value[1] = 4.0;
      value[2] = -1.0;
      for (i = 1 + block * bs; i < bs - 1 + block * bs; i++) {
        col[0] = i - 1;
        col[1] = i;
        col[2] = i + 1;
        PetscCall(MatSetValues(A, 1, &i, 3, col, value, INSERT_VALUES));
        PetscCall(MatSetValues(sA, 1, &i, 3, col, value, INSERT_VALUES));
      }
      i      = bs - 1 + block * bs;
      col[0] = bs - 2 + block * bs;
      col[1] = bs - 1 + block * bs;

      value[0] = -1.0;
      value[1] = 4.0;
      PetscCall(MatSetValues(A, 1, &i, 2, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &i, 2, col, value, INSERT_VALUES));

      i      = 0 + block * bs;
      col[0] = 0 + block * bs;
      col[1] = 1 + block * bs;

      value[0] = 4.0;
      value[1] = -1.0;
      PetscCall(MatSetValues(A, 1, &i, 2, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &i, 2, col, value, INSERT_VALUES));
    }
#endif
    /* off-diagonal blocks */
    value[0] = -1.0;
    for (i = 0; i < (n / bs - 1) * bs; i++) {
      col[0] = i + bs;
      PetscCall(MatSetValues(A, 1, &i, 1, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &i, 1, col, value, INSERT_VALUES));
      col[0] = i;
      row    = i + bs;
      PetscCall(MatSetValues(A, 1, &row, 1, col, value, INSERT_VALUES));
      PetscCall(MatSetValues(sA, 1, &row, 1, col, value, INSERT_VALUES));
    }
  }
  PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));

  PetscCall(MatAssemblyBegin(sA, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(sA, MAT_FINAL_ASSEMBLY));

  /* Test MatNorm() */
  PetscCall(MatNorm(A, NORM_FROBENIUS, &norm1));
  PetscCall(MatNorm(sA, NORM_FROBENIUS, &norm2));
  norm1 -= norm2;
  if (norm1 < -tol || norm1 > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatNorm(), fnorm1-fnorm2=%16.14e\n", (double)norm1));
  PetscCall(MatNorm(A, NORM_INFINITY, &norm1));
  PetscCall(MatNorm(sA, NORM_INFINITY, &norm2));
  norm1 -= norm2;
  if (norm1 < -tol || norm1 > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatNorm(), inf_norm1-inf_norm2=%16.14e\n", (double)norm1));

  /* Test MatGetInfo(), MatGetSize(), MatGetBlockSize() */
  PetscCall(MatGetInfo(A, MAT_LOCAL, &minfo1));
  PetscCall(MatGetInfo(sA, MAT_LOCAL, &minfo2));
  i = (int)(minfo1.nz_used - minfo2.nz_used);
  j = (int)(minfo1.nz_allocated - minfo2.nz_allocated);
  if (i < 0 || j < 0) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatGetInfo()\n"));

  PetscCall(MatGetSize(A, &Ii, &J));
  PetscCall(MatGetSize(sA, &i, &j));
  if (i - Ii || j - J) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatGetSize()\n"));

  PetscCall(MatGetBlockSize(A, &Ii));
  PetscCall(MatGetBlockSize(sA, &i));
  if (i - Ii) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatGetBlockSize()\n"));

  /* Test MatDiagonalScale(), MatGetDiagonal(), MatScale() */
  PetscCall(PetscRandomCreate(PETSC_COMM_SELF, &rdm));
  PetscCall(PetscRandomSetFromOptions(rdm));
  PetscCall(VecCreateSeq(PETSC_COMM_SELF, n, &x));
  PetscCall(VecDuplicate(x, &s1));
  PetscCall(VecDuplicate(x, &s2));
  PetscCall(VecDuplicate(x, &y));
  PetscCall(VecDuplicate(x, &b));

  PetscCall(VecSetRandom(x, rdm));

  PetscCall(MatDiagonalScale(A, x, x));
  PetscCall(MatDiagonalScale(sA, x, x));

  PetscCall(MatGetDiagonal(A, s1));
  PetscCall(MatGetDiagonal(sA, s2));
  PetscCall(VecNorm(s1, NORM_1, &norm1));
  PetscCall(VecNorm(s2, NORM_1, &norm2));
  norm1 -= norm2;
  if (norm1 < -tol || norm1 > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatGetDiagonal() \n"));

  PetscCall(MatScale(A, alpha));
  PetscCall(MatScale(sA, alpha));

  /* Test MatMult(), MatMultAdd() */
  for (i = 0; i < 40; i++) {
    PetscCall(VecSetRandom(x, rdm));
    PetscCall(MatMult(A, x, s1));
    PetscCall(MatMult(sA, x, s2));
    PetscCall(VecNorm(s1, NORM_1, &norm1));
    PetscCall(VecNorm(s2, NORM_1, &norm2));
    norm1 -= norm2;
    if (norm1 < -tol || norm1 > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error: MatMult(), MatDiagonalScale() or MatScale()\n"));
  }

  for (i = 0; i < 40; i++) {
    PetscCall(VecSetRandom(x, rdm));
    PetscCall(VecSetRandom(y, rdm));
    PetscCall(MatMultAdd(A, x, y, s1));
    PetscCall(MatMultAdd(sA, x, y, s2));
    PetscCall(VecNorm(s1, NORM_1, &norm1));
    PetscCall(VecNorm(s2, NORM_1, &norm2));
    norm1 -= norm2;
    if (norm1 < -tol || norm1 > tol) PetscCall(PetscPrintf(PETSC_COMM_SELF, "Error:MatMultAdd(), MatDiagonalScale() or MatScale() \n"));
  }

  /* Test MatReordering() */
  PetscCall(MatGetOrdering(A, MATORDERINGNATURAL, &isrow, &iscol));
  ip = isrow;

  if (reorder) {
    IS        nip;
    PetscInt *nip_ptr;
    PetscCall(PetscMalloc1(mbs, &nip_ptr));
    PetscCall(ISGetIndices(ip, &ip_ptr));
    PetscCall(PetscArraycpy(nip_ptr, ip_ptr, mbs));
    i                = nip_ptr[1];
    nip_ptr[1]       = nip_ptr[mbs - 2];
    nip_ptr[mbs - 2] = i;
    i                = nip_ptr[0];
    nip_ptr[0]       = nip_ptr[mbs - 1];
    nip_ptr[mbs - 1] = i;
    PetscCall(ISRestoreIndices(ip, &ip_ptr));
    PetscCall(ISCreateGeneral(PETSC_COMM_SELF, mbs, nip_ptr, PETSC_COPY_VALUES, &nip));
    PetscCall(PetscFree(nip_ptr));

    PetscCall(MatReorderingSeqSBAIJ(sA, ip));
    PetscCall(ISDestroy(&nip));
  }

  PetscCall(ISDestroy(&iscol));
  PetscCall(ISDestroy(&isrow));
  PetscCall(MatDestroy(&A));
  PetscCall(MatDestroy(&sA));
  PetscCall(VecDestroy(&x));
  PetscCall(VecDestroy(&y));
  PetscCall(VecDestroy(&s1));
  PetscCall(VecDestroy(&s2));
  PetscCall(VecDestroy(&b));
  PetscCall(PetscRandomDestroy(&rdm));

  PetscCall(PetscFinalize());
  return 0;
}

/*TEST

   test:
      args: -bs {{1 2 3 4 5 6 7 8}}
      output_file: output/empty.out

TEST*/