/* This file contains simple binary read/write routines for matrices. */ #include "src/mat/matimpl.h" /*I "petscmat.h" I*/ #include "petscsys.h" #undef __FUNCT__ #define __FUNCT__ "MatLoadPrintHelp_Private" static PetscErrorCode MatLoadPrintHelp_Private(Mat A) { static PetscTruth called = PETSC_FALSE; MPI_Comm comm = A->comm; PetscErrorCode ierr; PetscFunctionBegin; if (called) {PetscFunctionReturn(0);} else called = PETSC_TRUE; ierr = (*PetscHelpPrintf)(comm," Options for MatLoad:\n");CHKERRQ(ierr); ierr = (*PetscHelpPrintf)(comm," -mat_type \n");CHKERRQ(ierr); ierr = (*PetscHelpPrintf)(comm," -matload_type \n");CHKERRQ(ierr); ierr = (*PetscHelpPrintf)(comm," -matload_block_size :Used for MATBAIJ, MATBDIAG\n");CHKERRQ(ierr); ierr = (*PetscHelpPrintf)(comm," -matload_bdiag_diags : Used for MATBDIAG\n");CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatLoad" /*@C MatLoad - Loads a matrix that has been stored in binary format with MatView(). The matrix format is determined from the options database. Generates a parallel MPI matrix if the communicator has more than one processor. The default matrix type is AIJ. Collective on PetscViewer Input Parameters: + viewer - binary file viewer, created with PetscViewerBinaryOpen() - outtype - type of matrix desired, for example MATSEQAIJ, MATMPIROWBS, etc. See types in petsc/include/petscmat.h. Output Parameters: . newmat - new matrix Basic Options Database Keys: + -matload_type seqaij - AIJ type . -matload_type mpiaij - parallel AIJ type . -matload_type seqbaij - block AIJ type . -matload_type mpibaij - parallel block AIJ type . -matload_type seqsbaij - block symmetric AIJ type . -matload_type mpisbaij - parallel block symmetric AIJ type . -matload_type seqbdiag - block diagonal type . -matload_type mpibdiag - parallel block diagonal type . -matload_type mpirowbs - parallel rowbs type . -matload_type seqdense - dense type . -matload_type mpidense - parallel dense type - -matload_symmetric - matrix in file is symmetric More Options Database Keys: Used with block matrix formats (MATSEQBAIJ, MATMPIBDIAG, ...) to specify block size . -matload_block_size Used to specify block diagonal numbers for MATSEQBDIAG and MATMPIBDIAG formats . -matload_bdiag_diags Level: beginner Notes: MatLoad() automatically loads into the options database any options given in the file filename.info where filename is the name of the file that was passed to the PetscViewerBinaryOpen(). The options in the info file will be ignored if you use the -matload_ignore_info option. In parallel, each processor can load a subset of rows (or the entire matrix). This routine is especially useful when a large matrix is stored on disk and only part of it existsis desired on each processor. For example, a parallel solver may access only some of the rows from each processor. The algorithm used here reads relatively small blocks of data rather than reading the entire matrix and then subsetting it. Notes for advanced users: Most users should not need to know the details of the binary storage format, since MatLoad() and MatView() completely hide these details. But for anyone who's interested, the standard binary matrix storage format is $ int MAT_FILE_COOKIE $ int number of rows $ int number of columns $ int total number of nonzeros $ int *number nonzeros in each row $ int *column indices of all nonzeros (starting index is zero) $ PetscScalar *values of all nonzeros Note for Cray users, the int's stored in the binary file are 32 bit integers; not 64 as they are represented in the memory, so if you write your own routines to read/write these binary files from the Cray you need to adjust the integer sizes that you read in, see PetscReadBinary() and PetscWriteBinary() to see how this may be done. In addition, PETSc automatically does the byte swapping for machines that store the bytes reversed, e.g. DEC alpha, freebsd, linux, Windows and the paragon; thus if you write your own binary read/write routines you have to swap the bytes; see PetscReadBinary() and PetscWriteBinary() to see how this may be done. .keywords: matrix, load, binary, input .seealso: PetscViewerBinaryOpen(), MatView(), VecLoad() @*/ PetscErrorCode MatLoad(PetscViewer viewer,const MatType outtype,Mat *newmat) { Mat factory; PetscErrorCode ierr; PetscTruth isbinary,flg; MPI_Comm comm; PetscErrorCode (*r)(PetscViewer,const MatType,Mat*); char mtype[256],*prefix; PetscFunctionBegin; PetscValidHeaderSpecific(viewer,PETSC_VIEWER_COOKIE,1); PetscValidPointer(newmat,3); *newmat = 0; ierr = PetscObjectGetOptionsPrefix((PetscObject)viewer,&prefix);CHKERRQ(ierr); ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_BINARY,&isbinary);CHKERRQ(ierr); if (!isbinary) { SETERRQ(PETSC_ERR_ARG_WRONG,"Invalid viewer; open viewer with PetscViewerBinaryOpen()"); } ierr = PetscOptionsGetString(prefix,"-mat_type",mtype,256,&flg);CHKERRQ(ierr); if (flg) { outtype = mtype; } ierr = PetscOptionsGetString(prefix,"-matload_type",mtype,256,&flg);CHKERRQ(ierr); if (flg) { outtype = mtype; } if (!outtype) outtype = MATAIJ; ierr = PetscObjectGetComm((PetscObject)viewer,&comm);CHKERRQ(ierr); ierr = MatCreate(comm,0,0,0,0,&factory);CHKERRQ(ierr); ierr = MatSetType(factory,outtype);CHKERRQ(ierr); r = factory->ops->load; ierr = MatDestroy(factory); if (!r) SETERRQ1(PETSC_ERR_SUP,"MatLoad is not supported for type: %s",outtype); ierr = PetscLogEventBegin(MAT_Load,viewer,0,0,0);CHKERRQ(ierr); ierr = (*r)(viewer,outtype,newmat);CHKERRQ(ierr); ierr = PetscLogEventEnd(MAT_Load,viewer,0,0,0);CHKERRQ(ierr); ierr = PetscOptionsHasName(prefix,"-matload_symmetric",&flg);CHKERRQ(ierr); if (flg) { ierr = MatSetOption(*newmat,MAT_SYMMETRIC);CHKERRQ(ierr); ierr = MatSetOption(*newmat,MAT_SYMMETRY_ETERNAL);CHKERRQ(ierr); } ierr = PetscOptionsHasName(PETSC_NULL,"-help",&flg);CHKERRQ(ierr); if (flg) {ierr = MatLoadPrintHelp_Private(*newmat);CHKERRQ(ierr); } PetscFunctionReturn(0); }