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DAMASK_EICMD/src/HDF5_utilities.f90

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adjusted variable names and added comments
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!--------------------------------------------------------------------------------------------------
!> @author Vitesh Shah, Max-Planck-Institut für Eisenforschung GmbH
!> @author Yi-Chin Yang, Max-Planck-Institut für Eisenforschung GmbH
!> @author Jennifer Nastola, Max-Planck-Institut für Eisenforschung GmbH
!> @author Martin Diehl, Max-Planck-Institut für Eisenforschung GmbH
!--------------------------------------------------------------------------------------------------
MPI file access needed for output
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module HDF5_utilities
Parallel writing and reading of integer datasets working
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use prec
use IO
use HDF5
MPI write only in case that PETSc is used
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#ifdef PETSc
Parallel writing and reading of integer datasets working
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use PETSC
MPI write only in case that PETSc is used
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#endif
number of helper functions for HDF5
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adjusted variable names and added comments
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implicit none
cleaned + suggested structure to write data
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public
number of helper functions for HDF5
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adjusted variable names and added comments
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!--------------------------------------------------------------------------------------------------
merged also finalization
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!> @brief reads pInt or pReal data of defined shape from file ! ToDo: order of arguments wrong
finalize for write
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!> @details for parallel IO, all dimension except for the last need to match
adjusted variable names and added comments
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!--------------------------------------------------------------------------------------------------
preprocessor statements are case sensitive.. ... and the PETSc variable is PETSc, not PETSC
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interface HDF5_read
Parallel writing and reading of integer datasets working
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module procedure HDF5_read_pReal1
module procedure HDF5_read_pReal2
module procedure HDF5_read_pReal3
module procedure HDF5_read_pReal4
module procedure HDF5_read_pReal5
module procedure HDF5_read_pReal6
module procedure HDF5_read_pReal7
module procedure HDF5_read_pInt1
module procedure HDF5_read_pInt2
module procedure HDF5_read_pInt3
module procedure HDF5_read_pInt4
module procedure HDF5_read_pInt5
module procedure HDF5_read_pInt6
polished addAttribute and use it to store meta data
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module procedure HDF5_read_pInt7
close all objects of type integer(HID_T) created by native hdf5 routines
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preprocessor statements are case sensitive.. ... and the PETSc variable is PETSc, not PETSC
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end interface HDF5_read
Interfacing for subroutines to identify real and integer data
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adjusted variable names and added comments
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!--------------------------------------------------------------------------------------------------
merged also finalization
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!> @brief writes pInt or pReal data of defined shape to file ! ToDo: order of arguments wrong
finalize for write
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!> @details for parallel IO, all dimension except for the last need to match
adjusted variable names and added comments
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!--------------------------------------------------------------------------------------------------
preprocessor statements are case sensitive.. ... and the PETSc variable is PETSc, not PETSC
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interface HDF5_write
reading and writing of subroutines of datasets of different ranks
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module procedure HDF5_write_pReal1
module procedure HDF5_write_pReal2
module procedure HDF5_write_pReal3
module procedure HDF5_write_pReal4
module procedure HDF5_write_pReal5
module procedure HDF5_write_pReal6
module procedure HDF5_write_pReal7
close all objects of type integer(HID_T) created by native hdf5 routines
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reading and writing of subroutines of datasets of different ranks
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module procedure HDF5_write_pInt1
module procedure HDF5_write_pInt2
module procedure HDF5_write_pInt3
module procedure HDF5_write_pInt4
module procedure HDF5_write_pInt5
module procedure HDF5_write_pInt6
polished addAttribute and use it to store meta data
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module procedure HDF5_write_pInt7
close all objects of type integer(HID_T) created by native hdf5 routines
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preprocessor statements are case sensitive.. ... and the PETSc variable is PETSc, not PETSC
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end interface HDF5_write
polished addAttribute and use it to store meta data
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The attribute interface works for single processor output and single valued attribute
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!--------------------------------------------------------------------------------------------------
!> @brief attached attributes of type char,pInt or pReal to a file/dataset/group
!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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interface HDF5_addAttribute
module procedure HDF5_addAttribute_str
module procedure HDF5_addAttribute_pInt
module procedure HDF5_addAttribute_pReal
end interface HDF5_addAttribute
The attribute interface works for single processor output and single valued attribute
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!--------------------------------------------------------------------------------------------------
number of helper functions for HDF5
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public :: &
keep only general functionality in HDF5_results
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HDF5_utilities_init, &
planning the forwarding of the results
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HDF5_openFile, &
HDF5_closeFile, &
polished addAttribute and use it to store meta data
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HDF5_addAttribute, &
number of helper functions for HDF5
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HDF5_closeGroup ,&
cleaning and separating functions
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HDF5_openGroup, &
HDF5_addGroup, &
preprocessor statements are case sensitive.. ... and the PETSc variable is PETSc, not PETSC
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HDF5_read, &
cleaned + suggested structure to write data
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HDF5_write, &
failed if dataset does not exists empty datasets are not written out
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HDF5_setLink, &
HDF5_objectExists
number of helper functions for HDF5
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contains
MPI file access needed for output
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subroutine HDF5_utilities_init
number of helper functions for HDF5
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kind-ID does not need to coincide with the number of bytes
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implicit none
required for HDF5 output
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integer :: hdferr
kind-ID does not need to coincide with the number of bytes
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integer(SIZE_T) :: typeSize
number of helper functions for HDF5
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kind-ID does not need to coincide with the number of bytes
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write(6,'(/,a)') ' <<<+- HDF5_Utilities init -+>>>'
number of helper functions for HDF5
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initializing and closing the HDF5 library
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!--------------------------------------------------------------------------------------------------
!initialize HDF5 library and check if integer and float type size match
kind-ID does not need to coincide with the number of bytes
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call h5open_f(hdferr)
if (hdferr < 0) call IO_error(1,ext_msg='HDF5_Utilities_init: h5open_f')
call h5tget_size_f(H5T_NATIVE_INTEGER,typeSize, hdferr)
if (hdferr < 0) call IO_error(1,ext_msg='HDF5_Utilities_init: h5tget_size_f (int)')
if (int(bit_size(0),SIZE_T)/=typeSize*8) &
call IO_error(0_pInt,ext_msg='Default integer size does not match H5T_NATIVE_INTEGER')
call h5tget_size_f(H5T_NATIVE_DOUBLE,typeSize, hdferr)
if (hdferr < 0) call IO_error(1,ext_msg='HDF5_Utilities_init: h5tget_size_f (double)')
if (int(storage_size(0.0_pReal),SIZE_T)/=typeSize*8) &
call IO_error(0,ext_msg='pReal does not match H5T_NATIVE_DOUBLE')
close all objects of type integer(HID_T) created by native hdf5 routines
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MPI file access needed for output
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end subroutine HDF5_utilities_init
number of helper functions for HDF5
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Reading and writing not very efficient method
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!--------------------------------------------------------------------------------------------------
!> @brief open and initializes HDF5 output file
!--------------------------------------------------------------------------------------------------
polishing
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integer(HID_T) function HDF5_openFile(fileName,mode,parallel) ! ToDo: simply "open" is enough
close all objects of type integer(HID_T) created by native hdf5 routines
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Reading and writing not very efficient method
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implicit none
avoid errors by consistently closing objects general bugfixes, works now
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character(len=*), intent(in) :: fileName
more flexible file open routine
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character, intent(in), optional :: mode
MPI file access needed for output
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logical, intent(in), optional :: parallel
more flexible file open routine
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character :: m
MPI file access needed for output
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integer(HID_T) :: plist_id
required for HDF5 output
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integer :: hdferr
Reading and writing not very efficient method
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more flexible file open routine
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if (present(mode)) then
m = mode
else
m = 'r'
endif
close all objects of type integer(HID_T) created by native hdf5 routines
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setting the property when opening the file
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call h5pcreate_f(H5P_FILE_ACCESS_F, plist_id, hdferr)
Made hdferr < 0 and removed the unnecessary call to h5getspace in hyperslab
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5pcreate_f')
setting the property when opening the file
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MPI file access needed for output
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#ifdef PETSc
if (present(parallel)) then; if (parallel) then
call h5pset_fapl_mpio_f(plist_id, PETSC_COMM_WORLD, MPI_INFO_NULL, hdferr)
Made hdferr < 0 and removed the unnecessary call to h5getspace in hyperslab
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5pset_fapl_mpio_f')
MPI file access needed for output
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endif; endif
#endif
setting the property when opening the file
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if (m == 'w') then
call h5fcreate_f(fileName,H5F_ACC_TRUNC_F,HDF5_openFile,hdferr,access_prp = plist_id)
polishing
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5fcreate_f (w)')
avoid errors by consistently closing objects general bugfixes, works now
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elseif(m == 'a') then
setting the property when opening the file
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call h5fopen_f(fileName,H5F_ACC_RDWR_F,HDF5_openFile,hdferr,access_prp = plist_id)
Made hdferr < 0 and removed the unnecessary call to h5getspace in hyperslab
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5fopen_f (a)')
more flexible file open routine
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elseif(m == 'r') then
setting the property when opening the file
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call h5fopen_f(fileName,H5F_ACC_RDONLY_F,HDF5_openFile,hdferr,access_prp = plist_id)
Made hdferr < 0 and removed the unnecessary call to h5getspace in hyperslab
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5fopen_f (r)')
more flexible file open routine
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else
polishing
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call IO_error(1_pInt,ext_msg='HDF5_openFile: h5fopen_f unknown access mode: '//trim(m))
more flexible file open routine
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endif
Reading and writing not very efficient method
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setting the property when opening the file
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call h5pclose_f(plist_id, hdferr)
Made hdferr < 0 and removed the unnecessary call to h5getspace in hyperslab
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_openFile: h5pclose_f')
setting the property when opening the file
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Reading and writing not very efficient method
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end function HDF5_openFile
number of helper functions for HDF5
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keep only general functionality in HDF5_results
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creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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!--------------------------------------------------------------------------------------------------
Interfacing for subroutines to identify real and integer data
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!> @brief close the opened HDF5 output file
creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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!--------------------------------------------------------------------------------------------------
subroutine HDF5_closeFile(fileHandle)
close all objects of type integer(HID_T) created by native hdf5 routines
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creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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implicit none
integer(HID_T), intent(in) :: fileHandle
hdferr needs to be integer type during compile time of HDF5 library
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required for HDF5 output
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integer :: hdferr
cleaning and separating functions
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creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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call h5fclose_f(fileHandle,hdferr)
hdferr needs to be integer type during compile time of HDF5 library
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_closeFile: h5fclose_f')
creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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end subroutine HDF5_closeFile
number of helper functions for HDF5
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creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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!--------------------------------------------------------------------------------------------------
cleaning and separating functions
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!> @brief adds a new group to the fileHandle
creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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!--------------------------------------------------------------------------------------------------
cleaning and separating functions
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integer(HID_T) function HDF5_addGroup(fileHandle,groupName)
creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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implicit none
cleaning up the codes
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integer(HID_T), intent(in) :: fileHandle
cleaning and separating functions
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character(len=*), intent(in) :: groupName
Parallel works for groups and included write function for integer data
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required for HDF5 output
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integer :: hdferr
cleaning and separating functions
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integer(HID_T) :: aplist_id
Parallel works for groups and included write function for integer data
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Read and write works for all types of data in parallel with test module passed
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!-------------------------------------------------------------------------------------------------
cleaning and separating functions
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! creating a property list for data access properties
Read and write works for all types of data in parallel with test module passed
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call h5pcreate_f(H5P_GROUP_ACCESS_F, aplist_id, hdferr)
cleaning and separating functions
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if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_addGroup: h5pcreate_f ('//trim(groupName)//')')
Read and write works for all types of data in parallel with test module passed
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!-------------------------------------------------------------------------------------------------
cleaning and separating functions
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! setting I/O mode to collective
required for HDF5 output
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#ifdef PETSc
Read and write works for all types of data in parallel with test module passed
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call h5pset_all_coll_metadata_ops_f(aplist_id, .true., hdferr)
cleaning and separating functions
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if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_addGroup: h5pset_all_coll_metadata_ops_f ('//trim(groupName)//')')
required for HDF5 output
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#endif
cleaning and separating functions
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Read and write works for all types of data in parallel with test module passed
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!-------------------------------------------------------------------------------------------------
cleaning and separating functions
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! Create group
call h5gcreate_f(fileHandle, trim(groupName), HDF5_addGroup, hdferr, OBJECT_NAMELEN_DEFAULT_F,gapl_id = aplist_id)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_addGroup: h5gcreate_f ('//trim(groupName)//')')
close all objects of type integer(HID_T) created by native hdf5 routines
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cleaning and separating functions
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end function HDF5_addGroup
creating hdf5 file to contain restart information first quick and dirty implementation to get started. needs polishing and renaming
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number of helper functions for HDF5
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Reading and writing not very efficient method
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!--------------------------------------------------------------------------------------------------
close all objects of type integer(HID_T) created by native hdf5 routines
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!> @brief open an existing group of a file
Reading and writing not very efficient method
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!--------------------------------------------------------------------------------------------------
cleaning and separating functions
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integer(HID_T) function HDF5_openGroup(fileHandle,groupName)
Reading and writing not very efficient method
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implicit none
cleaning and separating functions
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integer(HID_T), intent(in) :: fileHandle
close all objects of type integer(HID_T) created by native hdf5 routines
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character(len=*), intent(in) :: groupName
cleaning and separating functions
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required for HDF5 output
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integer :: hdferr
Able to read the independent datasets (outside the groups) in parallel
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integer(HID_T) :: aplist_id
Read and write works for all types of data in parallel with test module passed
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logical :: is_collective
Able to read the independent datasets (outside the groups) in parallel
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!-------------------------------------------------------------------------------------------------
cleaning and separating functions
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! creating a property list for data access properties
Able to read the independent datasets (outside the groups) in parallel
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call h5pcreate_f(H5P_GROUP_ACCESS_F, aplist_id, hdferr)
cleaning and separating functions
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if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_openGroup: h5pcreate_f ('//trim(groupName)//')')
Able to read the independent datasets (outside the groups) in parallel
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!-------------------------------------------------------------------------------------------------
cleaning and separating functions
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! setting I/O mode to collective
required for HDF5 output
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#ifdef PETSc
Read and write works for all types of data in parallel with test module passed
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call h5pget_all_coll_metadata_ops_f(aplist_id, is_collective, hdferr)
cleaning and separating functions
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if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_openGroup: h5pset_all_coll_metadata_ops_f ('//trim(groupName)//')')
required for HDF5 output
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#endif
cleaning and separating functions
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!-------------------------------------------------------------------------------------------------
! opening the group
call h5gopen_f(fileHandle, trim(groupName), HDF5_openGroup, hdferr, gapl_id = aplist_id)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_openGroup: h5gopen_f ('//trim(groupName)//')')
Reading and writing not very efficient method
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cleaning and separating functions
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end function HDF5_openGroup
Reading and writing not very efficient method
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number of helper functions for HDF5
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!--------------------------------------------------------------------------------------------------
close all objects of type integer(HID_T) created by native hdf5 routines
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!> @brief close a group
number of helper functions for HDF5
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!--------------------------------------------------------------------------------------------------
failed if dataset does not exists empty datasets are not written out
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subroutine HDF5_closeGroup(group_id)
number of helper functions for HDF5
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implicit none
failed if dataset does not exists empty datasets are not written out
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integer(HID_T), intent(in) :: group_id
required for HDF5 output
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integer :: hdferr
number of helper functions for HDF5
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failed if dataset does not exists empty datasets are not written out
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call h5gclose_f(group_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_closeGroup: h5gclose_f (el is ID)', el = int(group_id,pInt))
number of helper functions for HDF5
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end subroutine HDF5_closeGroup
failed if dataset does not exists empty datasets are not written out
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!--------------------------------------------------------------------------------------------------
!> @brief check whether a group or a dataset exists
!--------------------------------------------------------------------------------------------------
logical function HDF5_objectExists(loc_id,path)
implicit none
integer(HID_T), intent(in) :: loc_id
character(len=*), intent(in), optional :: path
required for HDF5 output
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integer :: hdferr
failed if dataset does not exists empty datasets are not written out
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character(len=256) :: p
if (present(path)) then
p = trim(path)
else
p = '.'
endif
call h5lexists_f(loc_id, p, HDF5_objectExists, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_objectExists: h5oexists_by_name_f')
if(HDF5_objectExists) then
call h5oexists_by_name_f(loc_id, p, HDF5_objectExists, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_objectExists: h5oexists_by_name_f')
endif
end function HDF5_objectExists
planning the forwarding of the results
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!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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!> @brief adds a string attribute to the path given relative to the location
planning the forwarding of the results
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!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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subroutine HDF5_addAttribute_str(loc_id,attrLabel,attrValue,path)
planning the forwarding of the results
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implicit none
polished addAttribute and use it to store meta data
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integer(HID_T), intent(in) :: loc_id
planning the forwarding of the results
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character(len=*), intent(in) :: attrLabel, attrValue
polished addAttribute and use it to store meta data
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character(len=*), intent(in), optional :: path
required for HDF5 output
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integer :: hdferr
planning the forwarding of the results
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integer(HID_T) :: attr_id, space_id, type_id
polished addAttribute and use it to store meta data
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logical :: attrExists
character(len=256) :: p
if (present(path)) then
p = trim(path)
else
p = '.'
endif
planning the forwarding of the results
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call h5screate_f(H5S_SCALAR_F,space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5screate_f')
planning the forwarding of the results
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call h5tcopy_f(H5T_NATIVE_CHARACTER, type_id, hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5tcopy_f')
planning the forwarding of the results
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call h5tset_size_f(type_id, int(len(trim(attrValue)),HSIZE_T), hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5tset_size_f')
call h5aexists_by_name_f(loc_id,trim(p),attrLabel,attrExists,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5aexists_by_name_f')
if (attrExists) then
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5adelete_by_name_f')
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),type_id,space_id,attr_id,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5acreate_f')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5awrite_f(attr_id, type_id, trim(attrValue), int([1],HSIZE_T), hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5awrite_f')
planning the forwarding of the results
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call h5aclose_f(attr_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5aclose_f')
planning the forwarding of the results
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call h5tclose_f(type_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5tclose_f')
planning the forwarding of the results
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call h5sclose_f(space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_str: h5sclose_f')
planning the forwarding of the results
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polished addAttribute and use it to store meta data
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end subroutine HDF5_addAttribute_str
planning the forwarding of the results
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!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
2018-12-17 20:45:16 +05:30
!> @brief adds a integer attribute to the path given relative to the location
planning the forwarding of the results
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!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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subroutine HDF5_addAttribute_pInt(loc_id,attrLabel,attrValue,path)
planning the forwarding of the results
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implicit none
polished addAttribute and use it to store meta data
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integer(HID_T), intent(in) :: loc_id
planning the forwarding of the results
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character(len=*), intent(in) :: attrLabel
integer(pInt), intent(in) :: attrValue
polished addAttribute and use it to store meta data
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character(len=*), intent(in), optional :: path
required for HDF5 output
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integer :: hdferr
planning the forwarding of the results
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integer(HID_T) :: attr_id, space_id, type_id
polished addAttribute and use it to store meta data
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logical :: attrExists
character(len=256) :: p
if (present(path)) then
p = trim(path)
else
p = '.'
endif
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5screate_f(H5S_SCALAR_F,space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5screate_f')
The attribute interface works for single processor output and single valued attribute
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call h5tcopy_f(H5T_NATIVE_INTEGER, type_id, hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5tcopy_f')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5tset_size_f(type_id, 1_HSIZE_T, hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5tset_size_f')
call h5aexists_by_name_f(loc_id,trim(p),attrLabel,attrExists,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5aexists_by_name_f')
if (attrExists) then
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5adelete_by_name_f')
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),type_id,space_id,attr_id,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5acreate_f')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5awrite_f(attr_id, type_id, attrValue, int([1],HSIZE_T), hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5awrite_f')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5aclose_f(attr_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5aclose_f')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
call h5tclose_f(type_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5tclose_f')
planning the forwarding of the results
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call h5sclose_f(space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pInt: h5sclose_f')
end subroutine HDF5_addAttribute_pInt
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
2018-12-17 20:45:16 +05:30
!> @brief adds a integer attribute to the path given relative to the location
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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subroutine HDF5_addAttribute_pReal(loc_id,attrLabel,attrValue,path)
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
implicit none
polished addAttribute and use it to store meta data
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integer(HID_T), intent(in) :: loc_id
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
character(len=*), intent(in) :: attrLabel
polished addAttribute and use it to store meta data
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real(pReal), intent(in) :: attrValue
character(len=*), intent(in), optional :: path
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
integer(HID_T) :: attr_id, space_id, type_id
polished addAttribute and use it to store meta data
2018-12-17 20:45:16 +05:30
logical :: attrExists
character(len=256) :: p
if (present(path)) then
p = trim(path)
else
p = '.'
endif
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
call h5screate_f(H5S_SCALAR_F,space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5screate_f')
The attribute interface works for single processor output and single valued attribute
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call h5tcopy_f(H5T_NATIVE_DOUBLE, type_id, hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5tcopy_f')
call h5tset_size_f(type_id, 8_HSIZE_T, hdferr) ! ToDo
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5tset_size_f')
call h5aexists_by_name_f(loc_id,trim(p),attrLabel,attrExists,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5aexists_by_name_f')
if (attrExists) then
call h5adelete_by_name_f(loc_id, trim(p), attrLabel, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5adelete_by_name_f')
endif
call h5acreate_by_name_f(loc_id,trim(p),trim(attrLabel),type_id,space_id,attr_id,hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5acreate_f')
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
call h5awrite_f(attr_id, type_id, attrValue, int([1],HSIZE_T), hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5awrite_f')
The attribute interface works for single processor output and single valued attribute
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call h5aclose_f(attr_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5aclose_f')
The attribute interface works for single processor output and single valued attribute
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call h5tclose_f(type_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5tclose_f')
The attribute interface works for single processor output and single valued attribute
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call h5sclose_f(space_id,hdferr)
polished addAttribute and use it to store meta data
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if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_addAttribute_pReal: h5sclose_f')
end subroutine HDF5_addAttribute_pReal
The attribute interface works for single processor output and single valued attribute
2018-12-15 21:51:03 +05:30
cleaned + suggested structure to write data
2018-12-12 12:15:20 +05:30
!--------------------------------------------------------------------------------------------------
!> @brief set link to object in results file
!--------------------------------------------------------------------------------------------------
polished addAttribute and use it to store meta data
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subroutine HDF5_setLink(loc_id,target_name,link_name)
cleaned + suggested structure to write data
2018-12-12 12:15:20 +05:30
use hdf5
implicit none
polished addAttribute and use it to store meta data
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character(len=*), intent(in) :: target_name, link_name
integer(HID_T), intent(in) :: loc_id
required for HDF5 output
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integer :: hdferr
cleaned + suggested structure to write data
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logical :: linkExists
polished addAttribute and use it to store meta data
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call h5lexists_f(loc_id, link_name,linkExists, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_setLink: h5lexists_soft_f ('//trim(link_name)//')')
cleaned + suggested structure to write data
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if (linkExists) then
polished addAttribute and use it to store meta data
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call h5ldelete_f(loc_id,link_name, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_setLink: h5ldelete_soft_f ('//trim(link_name)//')')
cleaned + suggested structure to write data
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endif
polished addAttribute and use it to store meta data
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call h5lcreate_soft_f(target_name, loc_id, link_name, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg = 'HDF5_setLink: h5lcreate_soft_f ('//trim(target_name)//' '//trim(link_name)//')')
planning the forwarding of the results
2018-11-18 17:11:05 +05:30
cleaned + suggested structure to write data
2018-12-12 12:15:20 +05:30
end subroutine HDF5_setLink
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
writing of multidimensional dataset into hdf5 does not appear as multiple pages in hdfviewer
2018-09-25 20:12:43 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 1 dimension
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal1(loc_id,dataset,datasetName,parallel)
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:) :: dataset
reading and writing of subroutines of datasets of different ranks
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integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: & ! ToDo: Fortran 2018 size(shape(A)) = rank(A)
more generic formulation (works for all dimensions)
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myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
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if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
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file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal1: h5dread_f')
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
merged also finalization
2019-02-09 14:08:49 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal1
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 2 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal2(loc_id,dataset,datasetName,parallel)
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal2: h5dread_f')
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
end subroutine HDF5_read_pReal2
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 2 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal3(loc_id,dataset,datasetName,parallel)
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
using functions as far as possible
2019-02-09 16:15:02 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal3: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal3
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 4 dimensions
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal4(loc_id,dataset,datasetName,parallel)
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
started read parallelization but getting errors
2018-11-23 20:19:43 +05:30
logical, intent(in), optional :: parallel
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
started read parallelization but getting errors
2018-11-23 20:19:43 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal4: h5dread_f')
started read parallelization but getting errors
2018-11-23 20:19:43 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal4
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 5 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal5(loc_id,dataset,datasetName,parallel)
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
avoiding code duplication
2019-02-09 12:35:29 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal5: h5dread_f')
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal5
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 6 dimensions
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal6(loc_id,dataset,datasetName,parallel)
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal6: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal6
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pReal with 7 dimensions
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pReal7(loc_id,dataset,datasetName,parallel)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:,:,:) :: dataset
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in), optional :: parallel
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_DOUBLE,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pReal7: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pReal7
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 1 dimension
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt1(loc_id,dataset,datasetName,parallel)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:) :: dataset
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in), optional :: parallel
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt1: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt1
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 2 dimensions
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt2(loc_id,dataset,datasetName,parallel)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:) :: dataset
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in), optional :: parallel
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt2: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt2
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 3 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt3(loc_id,dataset,datasetName,parallel)
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt3: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
end subroutine HDF5_read_pInt3
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt withh 4 dimensions
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
!--------------------------------------------------------------------------------------------------
avoiding code duplication
2019-02-09 12:35:29 +05:30
subroutine HDF5_read_pInt4(loc_id,dataset,datasetName,parallel)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:) :: dataset
avoiding code duplication
2019-02-09 12:35:29 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in), optional :: parallel
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
avoiding code duplication
2019-02-09 12:35:29 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
! determine shape of dataset
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt4: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt4
adjusted variable names and added comments
2018-10-09 18:16:57 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 5 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt5(loc_id,dataset,datasetName,parallel)
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt5: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt5
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
writing of multidimensional dataset into hdf5 does not appear as multiple pages in hdfviewer
2018-09-25 20:12:43 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 6 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt6(loc_id,dataset,datasetName,parallel)
writing of multidimensional dataset into hdf5 does not appear as multiple pages in hdfviewer
2018-09-25 20:12:43 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
writing of multidimensional dataset into hdf5 does not appear as multiple pages in hdfviewer
2018-09-25 20:12:43 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt6: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt6
[skip ci] [skip sc] generic interfaces for HDF5 operations most existing HDF5 functions are only designed for writing output files and more general functionality is needed for storing the restart data
2018-10-05 12:26:06 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief read dataset of type pInt with 7 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_read_pInt7(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
merged also finalization
2019-02-09 14:08:49 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
logical, intent(in), optional :: parallel
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!---------------------------------------------------------------------------------------------------
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
! determine shape of dataset
more generic formulation (works for all dimensions)
2019-02-09 10:08:24 +05:30
localShape = int(shape(dataset),HSIZE_T)
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
! initialize HDF5 data structures
avoiding code duplication
2019-02-09 12:35:29 +05:30
if (present(parallel)) then
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,parallel)
avoiding code duplication
2019-02-09 12:35:29 +05:30
else
call initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, globalShape, loc_id,localShape,datasetName,.false.)
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
close all objects of type integer(HID_T) created by native hdf5 routines
2018-11-09 20:41:19 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dread_f(dset_id, H5T_NATIVE_INTEGER,dataset,globalShape, hdferr,&
Read and write works for all types of data in parallel with test module passed
2018-11-30 22:03:30 +05:30
file_space_id = filespace_id, xfer_prp = plist_id, mem_space_id = memspace_id)
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_read_pInt7: h5dread_f')
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
Parallel writing and reading of integer datasets working
2018-11-27 23:20:51 +05:30
end subroutine HDF5_read_pInt7
parallel writing for pReal
2018-11-18 14:17:50 +05:30
finalize for write
2019-02-09 14:14:41 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 1 dimension
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal1(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape,loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape,loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal1: h5dread_f')
[skip ci] [skip sc] generic interfaces for HDF5 operations most existing HDF5 functions are only designed for writing output files and more general functionality is needed for storing the restart data
2018-10-05 12:26:06 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
end subroutine HDF5_write_pReal1
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 2 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal2(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal2: h5dread_f')
Interfacing for subroutines to identify real and integer data
2018-10-09 14:27:06 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal2
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 3 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal3(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal3: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal3
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 4 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal4(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal4: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal4
parallel writing for pReal
2018-11-18 14:17:50 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 5 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal5(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal5: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal5
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 6 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal6(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal6: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal6
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pReal with 7 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pReal7(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
real(pReal), intent(inout), dimension(:,:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
parallel writing for pReal
2018-11-18 14:17:50 +05:30
logical, intent(in), optional :: parallel
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
parallel writing for pReal
2018-11-18 14:17:50 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
parallel writing for pReal
2018-11-18 14:17:50 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
also modularize write
2019-02-09 13:31:37 +05:30
localShape = int(shape(dataset),HSIZE_T)
merged also finalization
2019-02-09 14:08:49 +05:30
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
initialize all variables
2019-02-09 21:51:11 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
initialize all variables
2019-02-09 21:51:11 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_DOUBLE,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
parallel writing for pReal
2018-11-18 14:17:50 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_DOUBLE,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pReal7: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pReal7
using functions as far as possible
2019-02-09 16:15:02 +05:30
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 1 dimension
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt1(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt1: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt1
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 2 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt2(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt2: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt2
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 3 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt3(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt3: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt3
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 4 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt4(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt4: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt4
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 5 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt5(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt5: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt5
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 6 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt6(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt6: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt6
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief write dataset of type pInt with 7 dimensions
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
!--------------------------------------------------------------------------------------------------
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
subroutine HDF5_write_pInt7(loc_id,dataset,datasetName,parallel)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
implicit none
Changed the intent of input argument of dataset to inout
2018-11-20 16:24:51 +05:30
integer(pInt), intent(inout), dimension(:,:,:,:,:,:,:) :: dataset
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
logical, intent(in), optional :: parallel
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
integer(HID_T) :: dset_id, filespace_id, memspace_id, plist_id
rank not supported by older compiler/older dialects
2019-03-08 12:12:13 +05:30
integer(HSIZE_T), dimension(size(shape(dataset))) :: &
merged also finalization
2019-02-09 14:08:49 +05:30
myStart, &
localShape, & !< shape of the dataset (this process)
globalShape !< shape of the dataset (all processes)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!---------------------------------------------------------------------------------------------------
Functionality to avoid creating datasets in HDF5 of zero dimensions
2018-11-26 20:08:31 +05:30
! determine shape of dataset
merged also finalization
2019-02-09 14:08:49 +05:30
localShape = int(shape(dataset),HSIZE_T)
if (any(localShape(1:size(localShape)-1) == 0)) return !< empty dataset (last dimension can be empty)
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
if (present(parallel)) then
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,parallel)
merged also finalization
2019-02-09 14:08:49 +05:30
else
call initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
using functions as far as possible
2019-02-09 16:15:02 +05:30
myStart, globalShape, loc_id,localShape,datasetName,H5T_NATIVE_INTEGER,.false.)
merged also finalization
2019-02-09 14:08:49 +05:30
endif
Added the parallelized functionality for integer datatypes (works for groups?)
2018-11-21 21:27:36 +05:30
call h5dwrite_f(dset_id, H5T_NATIVE_INTEGER,dataset,int(globalShape,HSIZE_T), hdferr,&
file_space_id = filespace_id, mem_space_id = memspace_id, xfer_prp = plist_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='HDF5_write_pInt7: h5dread_f')
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
using functions as far as possible
2019-02-09 16:15:02 +05:30
call finalize_write(plist_id, dset_id, filespace_id, memspace_id)
reading and writing of subroutines of datasets of different ranks
2018-10-10 21:24:55 +05:30
end subroutine HDF5_write_pInt7
number of helper functions for HDF5
2018-08-03 12:23:37 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief initialize HDF5 handles, determines global shape and start for parallel read
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
subroutine initialize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id, &
myStart, globalShape, &
loc_id,localShape,datasetName,parallel)
use numerics, only: &
worldrank, &
worldsize
implicit none
initialize all variables
2019-02-09 21:51:11 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in) :: parallel
integer(HSIZE_T), intent(in), dimension(:) :: &
localShape
integer(HSIZE_T), intent(out), dimension(size(localShape,1)):: &
myStart, &
globalShape !< shape of the dataset (all processes)
integer(HID_T), intent(out) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
avoiding code duplication
2019-02-09 12:35:29 +05:30
integer(pInt), dimension(worldsize) :: &
readSize !< contribution of all processes
integer :: ierr
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
initialize all variables
2019-02-09 21:51:11 +05:30
avoiding code duplication
2019-02-09 12:35:29 +05:30
!-------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
! creating a property list for transfer properties (is collective for MPI)
avoiding code duplication
2019-02-09 12:35:29 +05:30
call h5pcreate_f(H5P_DATASET_XFER_F, plist_id, hdferr)
initialize all variables
2019-02-09 21:51:11 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5pcreate_f')
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
readSize = 0_pInt
readSize(worldrank+1) = int(localShape(ubound(localShape,1)),pInt)
#ifdef PETSc
if (parallel) then
call h5pset_dxpl_mpio_f(plist_id, H5FD_MPIO_COLLECTIVE_F, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5pset_dxpl_mpio_f')
avoiding code duplication
2019-02-09 12:35:29 +05:30
call MPI_allreduce(MPI_IN_PLACE,readSize,worldsize,MPI_INT,MPI_SUM,PETSC_COMM_WORLD,ierr) ! get total output size over each process
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (ierr /= 0) call IO_error(894_pInt,ext_msg='initialize_read: MPI_allreduce')
avoiding code duplication
2019-02-09 12:35:29 +05:30
endif
#endif
myStart = int(0,HSIZE_T)
myStart(ubound(myStart)) = int(sum(readSize(1:worldrank)),HSIZE_T)
globalShape = [localShape(1:ubound(localShape,1)-1),int(sum(readSize),HSIZE_T)]
!--------------------------------------------------------------------------------------------------
! create dataspace in memory (local shape)
also modularize write
2019-02-09 13:31:37 +05:30
call h5screate_simple_f(size(localShape), localShape, memspace_id, hdferr, localShape)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5screate_simple_f/memspace_id')
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
! creating a property list for IO and set it to collective
call h5pcreate_f(H5P_DATASET_ACCESS_F, aplist_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5pcreate_f')
required for HDF5 output
2019-03-09 21:21:50 +05:30
#ifdef PETSc
avoiding code duplication
2019-02-09 12:35:29 +05:30
call h5pset_all_coll_metadata_ops_f(aplist_id, .true., hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5pset_all_coll_metadata_ops_f')
required for HDF5 output
2019-03-09 21:21:50 +05:30
#endif
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
! open the dataset in the file and get the space ID
call h5dopen_f(loc_id,datasetName,dset_id,hdferr, dapl_id = aplist_id)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5dopen_f')
avoiding code duplication
2019-02-09 12:35:29 +05:30
call h5dget_space_f(dset_id, filespace_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5dget_space_f')
avoiding code duplication
2019-02-09 12:35:29 +05:30
!--------------------------------------------------------------------------------------------------
! select a hyperslab (the portion of the current process) in the file
call h5sselect_hyperslab_f(filespace_id, H5S_SELECT_SET_F, myStart, localShape, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_read: h5sselect_hyperslab_f')
avoiding code duplication
2019-02-09 12:35:29 +05:30
end subroutine initialize_read
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief closes HDF5 handles
merged also finalization
2019-02-09 14:08:49 +05:30
!--------------------------------------------------------------------------------------------------
subroutine finalize_read(dset_id, filespace_id, memspace_id, plist_id, aplist_id)
implicit none
integer(HID_T), intent(in) :: dset_id, filespace_id, memspace_id, plist_id, aplist_id
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
merged also finalization
2019-02-09 14:08:49 +05:30
call h5pclose_f(plist_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_read: plist_id')
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dclose_f(dset_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_read: h5dclose_f')
merged also finalization
2019-02-09 14:08:49 +05:30
call h5sclose_f(filespace_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_read: h5sclose_f/filespace_id')
merged also finalization
2019-02-09 14:08:49 +05:30
call h5sclose_f(memspace_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_read: h5sclose_f/memspace_id')
merged also finalization
2019-02-09 14:08:49 +05:30
end subroutine finalize_read
using functions as far as possible
2019-02-09 16:15:02 +05:30
merged also finalization
2019-02-09 14:08:49 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief initialize HDF5 handles, determines global shape and start for parallel write
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
subroutine initialize_write(dset_id, filespace_id, memspace_id, plist_id, &
myStart, globalShape, &
merged also finalization
2019-02-09 14:08:49 +05:30
loc_id,localShape,datasetName,datatype,parallel)
also modularize write
2019-02-09 13:31:37 +05:30
use numerics, only: &
worldrank, &
worldsize
implicit none
initialize all variables
2019-02-09 21:51:11 +05:30
integer(HID_T), intent(in) :: loc_id !< file or group handle
character(len=*), intent(in) :: datasetName !< name of the dataset in the file
logical, intent(in) :: parallel
integer(HID_T), intent(in) :: datatype
integer(HSIZE_T), intent(in), dimension(:) :: &
also modularize write
2019-02-09 13:31:37 +05:30
localShape
initialize all variables
2019-02-09 21:51:11 +05:30
integer(HSIZE_T), intent(out), dimension(size(localShape,1)):: &
also modularize write
2019-02-09 13:31:37 +05:30
myStart, &
globalShape !< shape of the dataset (all processes)
initialize all variables
2019-02-09 21:51:11 +05:30
integer(HID_T), intent(out) :: dset_id, filespace_id, memspace_id, plist_id
also modularize write
2019-02-09 13:31:37 +05:30
integer(pInt), dimension(worldsize) :: &
initialize all variables
2019-02-09 21:51:11 +05:30
writeSize !< contribution of all processes
also modularize write
2019-02-09 13:31:37 +05:30
integer :: ierr
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
also modularize write
2019-02-09 13:31:37 +05:30
!-------------------------------------------------------------------------------------------------
! creating a property list for transfer properties
call h5pcreate_f(H5P_DATASET_XFER_F, plist_id, hdferr)
initialize all variables
2019-02-09 21:51:11 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5pcreate_f')
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
initialize all variables
2019-02-09 21:51:11 +05:30
writeSize = 0_pInt
writeSize(worldrank+1) = int(localShape(ubound(localShape,1)),pInt)
also modularize write
2019-02-09 13:31:37 +05:30
#ifdef PETSc
if (parallel) then
call h5pset_dxpl_mpio_f(plist_id, H5FD_MPIO_COLLECTIVE_F, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5pset_dxpl_mpio_f')
initialize all variables
2019-02-09 21:51:11 +05:30
call MPI_allreduce(MPI_IN_PLACE,writeSize,worldsize,MPI_INT,MPI_SUM,PETSC_COMM_WORLD,ierr) ! get total output size over each process
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (ierr /= 0) call IO_error(894_pInt,ext_msg='initialize_write: MPI_allreduce')
also modularize write
2019-02-09 13:31:37 +05:30
endif
#endif
myStart = int(0,HSIZE_T)
initialize all variables
2019-02-09 21:51:11 +05:30
myStart(ubound(myStart)) = int(sum(writeSize(1:worldrank)),HSIZE_T)
globalShape = [localShape(1:ubound(localShape,1)-1),int(sum(writeSize),HSIZE_T)]
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
! create dataspace in memory (local shape) and in file (global shape)
also modularize write
2019-02-09 13:31:37 +05:30
call h5screate_simple_f(size(localShape), localShape, memspace_id, hdferr, localShape)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5dopen_f')
also modularize write
2019-02-09 13:31:37 +05:30
call h5screate_simple_f(size(globalShape), globalShape, filespace_id, hdferr, globalShape)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5dget_space_f')
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
! create dataset
merged also finalization
2019-02-09 14:08:49 +05:30
call h5dcreate_f(loc_id, trim(datasetName), datatype, filespace_id, dset_id, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5dcreate_f')
also modularize write
2019-02-09 13:31:37 +05:30
!--------------------------------------------------------------------------------------------------
! select a hyperslab (the portion of the current process) in the file
call h5sselect_hyperslab_f(filespace_id, H5S_SELECT_SET_F, myStart, localShape, hdferr)
using functions as far as possible
2019-02-09 16:15:02 +05:30
if (hdferr < 0) call IO_error(1_pInt,ext_msg='initialize_write: h5sselect_hyperslab_f')
also modularize write
2019-02-09 13:31:37 +05:30
end subroutine initialize_write
finalize for write
2019-02-09 14:14:41 +05:30
!--------------------------------------------------------------------------------------------------
using functions as far as possible
2019-02-09 16:15:02 +05:30
!> @brief closes HDF5 handles
finalize for write
2019-02-09 14:14:41 +05:30
!--------------------------------------------------------------------------------------------------
subroutine finalize_write(plist_id, dset_id, filespace_id, memspace_id)
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
finalize for write
2019-02-09 14:14:41 +05:30
implicit none
integer(HID_T), intent(in) :: dset_id, filespace_id, memspace_id, plist_id
required for HDF5 output
2019-03-09 21:21:50 +05:30
integer :: hdferr
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
finalize for write
2019-02-09 14:14:41 +05:30
call h5pclose_f(plist_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_write: plist_id')
call h5dclose_f(dset_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_write: h5dclose_f')
call h5sclose_f(filespace_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_write: h5sclose_f/filespace_id')
call h5sclose_f(memspace_id, hdferr)
if (hdferr < 0) call IO_error(1_pInt,ext_msg='finalize_write: h5sclose_f/memspace_id')
Made changes with the calling signature
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finalize for write
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end subroutine finalize_write
Made changes with the calling signature
2018-12-14 16:05:41 +05:30
finalize for write
2019-02-09 14:14:41 +05:30
end module HDF5_Utilities