1 #define PETSCMAT_DLL 2 3 /* 4 This file contains simple binary read/write routines for matrices. 5 */ 6 7 #include "src/mat/matimpl.h" /*I "petscmat.h" I*/ 8 #include "petscsys.h" 9 10 #undef __FUNCT__ 11 #define __FUNCT__ "MatLoadPrintHelp_Private" 12 static PetscErrorCode MatLoadPrintHelp_Private(Mat A) 13 { 14 static PetscTruth called = PETSC_FALSE; 15 MPI_Comm comm = A->comm; 16 PetscErrorCode ierr; 17 18 PetscFunctionBegin; 19 if (called) {PetscFunctionReturn(0);} else called = PETSC_TRUE; 20 ierr = (*PetscHelpPrintf)(comm," Options for MatLoad:\n");CHKERRQ(ierr); 21 ierr = (*PetscHelpPrintf)(comm," -mat_type <type>\n");CHKERRQ(ierr); 22 ierr = (*PetscHelpPrintf)(comm," -matload_type <type>\n");CHKERRQ(ierr); 23 ierr = (*PetscHelpPrintf)(comm," -matload_block_size <block_size> :Used for MATBAIJ, MATBDIAG\n");CHKERRQ(ierr); 24 ierr = (*PetscHelpPrintf)(comm," -matload_bdiag_diags <s1,s2,s3,...> : Used for MATBDIAG\n");CHKERRQ(ierr); 25 PetscFunctionReturn(0); 26 } 27 28 #undef __FUNCT__ 29 #define __FUNCT__ "MatLoad" 30 /*@C 31 MatLoad - Loads a matrix that has been stored in binary format 32 with MatView(). The matrix format is determined from the options database. 33 Generates a parallel MPI matrix if the communicator has more than one 34 processor. The default matrix type is AIJ. 35 36 Collective on PetscViewer 37 38 Input Parameters: 39 + viewer - binary file viewer, created with PetscViewerBinaryOpen() 40 - outtype - type of matrix desired, for example MATSEQAIJ, 41 MATMPIROWBS, etc. See types in petsc/include/petscmat.h. 42 43 Output Parameters: 44 . newmat - new matrix 45 46 Basic Options Database Keys: 47 + -matload_type seqaij - AIJ type 48 . -matload_type mpiaij - parallel AIJ type 49 . -matload_type seqbaij - block AIJ type 50 . -matload_type mpibaij - parallel block AIJ type 51 . -matload_type seqsbaij - block symmetric AIJ type 52 . -matload_type mpisbaij - parallel block symmetric AIJ type 53 . -matload_type seqbdiag - block diagonal type 54 . -matload_type mpibdiag - parallel block diagonal type 55 . -matload_type mpirowbs - parallel rowbs type 56 . -matload_type seqdense - dense type 57 . -matload_type mpidense - parallel dense type 58 - -matload_symmetric - matrix in file is symmetric 59 60 More Options Database Keys: 61 Used with block matrix formats (MATSEQBAIJ, MATMPIBDIAG, ...) to specify 62 block size 63 . -matload_block_size <bs> 64 65 Used to specify block diagonal numbers for MATSEQBDIAG and MATMPIBDIAG formats 66 . -matload_bdiag_diags <s1,s2,s3,...> 67 68 Level: beginner 69 70 Notes: 71 MatLoad() automatically loads into the options database any options 72 given in the file filename.info where filename is the name of the file 73 that was passed to the PetscViewerBinaryOpen(). The options in the info 74 file will be ignored if you use the -matload_ignore_info option. 75 76 In parallel, each processor can load a subset of rows (or the 77 entire matrix). This routine is especially useful when a large 78 matrix is stored on disk and only part of it existsis desired on each 79 processor. For example, a parallel solver may access only some of 80 the rows from each processor. The algorithm used here reads 81 relatively small blocks of data rather than reading the entire 82 matrix and then subsetting it. 83 84 Notes for advanced users: 85 Most users should not need to know the details of the binary storage 86 format, since MatLoad() and MatView() completely hide these details. 87 But for anyone who's interested, the standard binary matrix storage 88 format is 89 90 $ int MAT_FILE_COOKIE 91 $ int number of rows 92 $ int number of columns 93 $ int total number of nonzeros 94 $ int *number nonzeros in each row 95 $ int *column indices of all nonzeros (starting index is zero) 96 $ PetscScalar *values of all nonzeros 97 98 PETSc automatically does the byte swapping for 99 machines that store the bytes reversed, e.g. DEC alpha, freebsd, 100 linux, Windows and the paragon; thus if you write your own binary 101 read/write routines you have to swap the bytes; see PetscReadBinary() 102 and PetscWriteBinary() to see how this may be done. 103 104 .keywords: matrix, load, binary, input 105 106 .seealso: PetscViewerBinaryOpen(), MatView(), VecLoad() 107 108 @*/ 109 PetscErrorCode PETSCMAT_DLLEXPORT MatLoad(PetscViewer viewer,const MatType outtype,Mat *newmat) 110 { 111 Mat factory; 112 PetscErrorCode ierr; 113 PetscTruth isbinary,flg; 114 MPI_Comm comm; 115 PetscErrorCode (*r)(PetscViewer,const MatType,Mat*); 116 char mtype[256],*prefix; 117 118 PetscFunctionBegin; 119 PetscValidHeaderSpecific(viewer,PETSC_VIEWER_COOKIE,1); 120 PetscValidPointer(newmat,3); 121 *newmat = 0; 122 123 ierr = PetscObjectGetOptionsPrefix((PetscObject)viewer,&prefix);CHKERRQ(ierr); 124 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_BINARY,&isbinary);CHKERRQ(ierr); 125 if (!isbinary) { 126 SETERRQ(PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()"); 127 } 128 129 ierr = PetscOptionsGetString(prefix,"-mat_type",mtype,256,&flg);CHKERRQ(ierr); 130 if (flg) { 131 outtype = mtype; 132 } 133 ierr = PetscOptionsGetString(prefix,"-matload_type",mtype,256,&flg);CHKERRQ(ierr); 134 if (flg) { 135 outtype = mtype; 136 } 137 if (!outtype) outtype = MATAIJ; 138 139 ierr = PetscObjectGetComm((PetscObject)viewer,&comm);CHKERRQ(ierr); 140 ierr = MatCreate(comm,0,0,0,0,&factory);CHKERRQ(ierr); 141 ierr = MatSetType(factory,outtype);CHKERRQ(ierr); 142 r = factory->ops->load; 143 ierr = MatDestroy(factory); 144 if (!r) SETERRQ1(PETSC_ERR_SUP,"MatLoad is not supported for type: %s",outtype); 145 146 ierr = PetscLogEventBegin(MAT_Load,viewer,0,0,0);CHKERRQ(ierr); 147 ierr = (*r)(viewer,outtype,newmat);CHKERRQ(ierr); 148 ierr = PetscLogEventEnd(MAT_Load,viewer,0,0,0);CHKERRQ(ierr); 149 150 ierr = PetscOptionsHasName(prefix,"-matload_symmetric",&flg);CHKERRQ(ierr); 151 if (flg) { 152 ierr = MatSetOption(*newmat,MAT_SYMMETRIC);CHKERRQ(ierr); 153 ierr = MatSetOption(*newmat,MAT_SYMMETRY_ETERNAL);CHKERRQ(ierr); 154 } 155 ierr = PetscOptionsHasName(PETSC_NULL,"-help",&flg);CHKERRQ(ierr); 156 if (flg) {ierr = MatLoadPrintHelp_Private(*newmat);CHKERRQ(ierr); } 157 PetscFunctionReturn(0); 158 } 159 160