static char help[] = "Read a non-complex sparse matrix from a Matrix Market (v. 2.0) file\n\ and write it to a file in petsc sparse binary format. If the matrix is symmetric, the binary file is in \n\ PETSc MATSBAIJ format, otherwise it is in MATAIJ format \n\ Usage: ./ex72 -fin -fout \n\ (See https://math.nist.gov/MatrixMarket/ for details.)\n\ The option -permute permutes the matrix using the ordering type.\n\ The option -aij_only allows to use MATAIJ for all cases.\n\\n"; /* NOTES: 1) Matrix Market files are always 1-based, i.e. the index of the first element of a matrix is (1,1), not (0,0) as in C. ADJUST THESE OFFSETS ACCORDINGLY offsets accordingly when reading and writing to files. 2) ANSI C requires one to use the "l" format modifier when reading double precision floating point numbers in scanf() and its variants. For example, use "%lf", "%lg", or "%le" when reading doubles, otherwise errors will occur. */ #include #include "ex72mmio.h" int main(int argc, char **argv) { MM_typecode matcode; FILE *file; PetscInt M, N, ninput; PetscInt *ia, *ja; Mat A; char filein[PETSC_MAX_PATH_LEN], fileout[PETSC_MAX_PATH_LEN]; char ordering[256] = MATORDERINGRCM; PetscInt i, j, nz, *rownz; PetscScalar *val, zero = 0.0; PetscViewer view; PetscBool sametype, flag, symmetric = PETSC_FALSE, skew = PETSC_FALSE, real = PETSC_FALSE, pattern = PETSC_FALSE, aijonly = PETSC_FALSE, permute = PETSC_FALSE; IS rowperm = NULL, colperm = NULL; PetscMPIInt size; PetscInitialize(&argc, &argv, (char *)0, 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!"); PetscOptionsBegin(PETSC_COMM_WORLD, NULL, "Matrix Market example options", ""); { PetscCall(PetscOptionsString("-fin", "Input Matrix Market file", "", filein, filein, sizeof(filein), &flag)); PetscCheck(flag, PETSC_COMM_SELF, PETSC_ERR_USER_INPUT, "Please use -fin to specify the input file name!"); PetscCall(PetscOptionsString("-fout", "Output file in petsc sparse binary format", "", fileout, fileout, sizeof(fileout), &flag)); PetscCheck(flag, PETSC_COMM_SELF, PETSC_ERR_USER_INPUT, "Please use -fout to specify the output file name!"); PetscCall(PetscOptionsBool("-aij_only", "Use MATAIJ for all cases", "", aijonly, &aijonly, NULL)); PetscCall(PetscOptionsFList("-permute", "Permute matrix and vector to solving in new ordering", "", MatOrderingList, ordering, ordering, sizeof(ordering), &permute)); } PetscOptionsEnd(); /* Read in matrix */ PetscCall(PetscFOpen(PETSC_COMM_SELF, filein, "r", &file)); PetscCheck(mm_read_banner(file, &matcode) == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Could not process Matrix Market banner."); /* This is how one can screen matrix types if their application */ /* only supports a subset of the Matrix Market data types. */ PetscCheck(mm_is_matrix(matcode) && mm_is_sparse(matcode), PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Input must be a sparse matrix. Market Market type: [%s]", mm_typecode_to_str(matcode)); if (mm_is_symmetric(matcode)) symmetric = PETSC_TRUE; if (mm_is_skew(matcode)) skew = PETSC_TRUE; if (mm_is_real(matcode)) real = PETSC_TRUE; if (mm_is_pattern(matcode)) pattern = PETSC_TRUE; /* Find out size of sparse matrix .... */ PetscCheck(mm_read_mtx_crd_size(file, &M, &N, &nz) == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Size of sparse matrix is wrong."); PetscCall(mm_write_banner(stdout, matcode)); PetscCall(PetscPrintf(PETSC_COMM_SELF, "M: %d, N: %d, nnz: %d\n", M, N, nz)); /* Reseve memory for matrices */ PetscCall(PetscMalloc4(nz, &ia, nz, &ja, nz, &val, M, &rownz)); for (i = 0; i < M; i++) rownz[i] = 1; /* Since we will add 0.0 to diagonal entries */ /* NOTE: when reading in doubles, ANSI C requires the use of the "l" */ /* specifier as in "%lg", "%lf", "%le", otherwise errors will occur */ /* (ANSI C X3.159-1989, Sec. 4.9.6.2, p. 136 lines 13-15) */ for (i = 0; i < nz; i++) { if (pattern) { ninput = fscanf(file, "%d %d\n", &ia[i], &ja[i]); PetscCheck(ninput >= 2, PETSC_COMM_SELF, PETSC_ERR_FILE_UNEXPECTED, "Badly formatted input file"); val[i] = 1.0; } else if (real) { ninput = fscanf(file, "%d %d %lg\n", &ia[i], &ja[i], &val[i]); PetscCheck(ninput >= 3, PETSC_COMM_SELF, PETSC_ERR_FILE_UNEXPECTED, "Badly formatted input file"); } ia[i]--; ja[i]--; /* adjust from 1-based to 0-based */ if (ia[i] != ja[i]) { /* already counted the diagonals above */ if ((symmetric && aijonly) || skew) { /* transpose */ rownz[ia[i]]++; rownz[ja[i]]++; } else rownz[ia[i]]++; } } PetscCall(PetscFClose(PETSC_COMM_SELF, file)); PetscCall(PetscPrintf(PETSC_COMM_SELF, "Reading matrix completes.\n")); /* Create, preallocate, and then assemble the matrix */ PetscCall(MatCreate(PETSC_COMM_SELF, &A)); PetscCall(MatSetSizes(A, PETSC_DECIDE, PETSC_DECIDE, M, N)); if (symmetric && !aijonly) { PetscCall(MatSetType(A, MATSEQSBAIJ)); PetscCall(MatSetFromOptions(A)); PetscCall(MatSetUp(A)); PetscCall(MatSeqSBAIJSetPreallocation(A, 1, 0, rownz)); PetscCall(PetscObjectTypeCompare((PetscObject)A, MATSEQSBAIJ, &sametype)); PetscCheck(sametype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Only AIJ and SBAIJ are supported. Your mattype is not supported"); } else { PetscCall(MatSetType(A, MATSEQAIJ)); PetscCall(MatSetFromOptions(A)); PetscCall(MatSetUp(A)); PetscCall(MatSeqAIJSetPreallocation(A, 0, rownz)); PetscCall(PetscObjectTypeCompare((PetscObject)A, MATSEQAIJ, &sametype)); PetscCheck(sametype, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Only AIJ and SBAIJ are supported. Your mattype is not supported"); } /* Add zero to diagonals, in case the matrix missing diagonals */ for (j = 0; j < M; j++) PetscCall(MatSetValues(A, 1, &j, 1, &j, &zero, INSERT_VALUES)); /* Add values to the matrix, these correspond to lower triangular part for symmetric or skew matrices */ for (j = 0; j < nz; j++) PetscCall(MatSetValues(A, 1, &ia[j], 1, &ja[j], &val[j], INSERT_VALUES)); /* Add values to upper triangular part for some cases */ if (symmetric && aijonly) { /* MatrixMarket matrix stores symm matrix in lower triangular part. Take its transpose */ for (j = 0; j < nz; j++) PetscCall(MatSetValues(A, 1, &ja[j], 1, &ia[j], &val[j], INSERT_VALUES)); } if (skew) { for (j = 0; j < nz; j++) { val[j] = -val[j]; PetscCall(MatSetValues(A, 1, &ja[j], 1, &ia[j], &val[j], INSERT_VALUES)); } } PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY)); if (permute) { Mat Aperm; PetscCall(MatGetOrdering(A, ordering, &rowperm, &colperm)); PetscCall(MatPermute(A, rowperm, colperm, &Aperm)); PetscCall(MatDestroy(&A)); A = Aperm; /* Replace original operator with permuted version */ } /* Write out matrix */ PetscCall(PetscPrintf(PETSC_COMM_SELF, "Writing matrix to binary file %s using PETSc %s format ...\n", fileout, (symmetric && !aijonly) ? "SBAIJ" : "AIJ")); PetscCall(PetscViewerBinaryOpen(PETSC_COMM_SELF, fileout, FILE_MODE_WRITE, &view)); PetscCall(MatView(A, view)); PetscCall(PetscViewerDestroy(&view)); PetscCall(PetscPrintf(PETSC_COMM_SELF, "Writing matrix completes.\n")); PetscCall(PetscFree4(ia, ja, val, rownz)); PetscCall(MatDestroy(&A)); PetscCall(ISDestroy(&rowperm)); PetscCall(ISDestroy(&colperm)); PetscCall(PetscFinalize()); return 0; } /*TEST build: requires: !complex double !defined(PETSC_USE_64BIT_INDICES) depends: ex72mmio.c test: suffix: 1 args: -fin ${wPETSC_DIR}/share/petsc/datafiles/matrices/amesos2_test_mat0.mtx -fout petscmat.aij output_file: output/ex72_1.out test: suffix: 2 args: -fin ${wPETSC_DIR}/share/petsc/datafiles/matrices/LFAT5.mtx -fout petscmat.sbaij output_file: output/ex72_2.out test: suffix: 3 args: -fin ${wPETSC_DIR}/share/petsc/datafiles/matrices/m_05_05_crk.mtx -fout petscmat2.aij output_file: output/ex72_3.out test: suffix: 4 args: -fin ${wPETSC_DIR}/share/petsc/datafiles/matrices/amesos2_test_mat0.mtx -fout petscmat.aij -permute rcm output_file: output/ex72_4.out TEST*/