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Merge pull request #857 from ginkgo-project/release/1.4.0
Ginkgo release 1.4.0 The Ginkgo team is proud to announce the new Ginkgo minor release 1.4.0. This release brings most of the Ginkgo functionality to the Intel DPC++ ecosystem which enables Intel-GPU and CPU execution. The only Ginkgo features which have not been ported yet are some preconditioners. Ginkgo's mixed-precision support is greatly enhanced thanks to: 1. The new Accessor concept, which allows writing kernels featuring on-the-fly memory compression, among other features. The accessor can be used as header-only, see the [accessor BLAS benchmarks repository](https://github.com/ginkgo-project/accessor-BLAS/tree/develop) as a usage example. 2. All LinOps now transparently support mixed-precision execution. By default, this is done through a temporary copy which may have a performance impact but already allows mixed-precision research. Native mixed-precision ELL kernels are implemented which do not see this cost. The accessor is also leveraged in a new CB-GMRES solver which allows for performance improvements by compressing the Krylov basis vectors. Many other features have been added to Ginkgo, such as reordering support, a new IDR solver, Incomplete Cholesky preconditioner, matrix assembly support (only CPU for now), machine topology information, and more! Supported systems and requirements: + For all platforms, cmake 3.13+ + C++14 compliant compiler + Linux and MacOS + gcc: 5.3+, 6.3+, 7.3+, all versions after 8.1+ + clang: 3.9+ + Intel compiler: 2018+ + Apple LLVM: 8.0+ + CUDA module: CUDA 9.0+ + HIP module: ROCm 3.5+ + DPC++ module: Intel OneAPI 2021.3. Set the CXX compiler to `dpcpp`. + Windows + MinGW and Cygwin: gcc 5.3+, 6.3+, 7.3+, all versions after 8.1+ + Microsoft Visual Studio: VS 2019 + CUDA module: CUDA 9.0+, Microsoft Visual Studio + OpenMP module: MinGW or Cygwin. Algorithm and important feature additions: + Add a new DPC++ Executor for SYCL execution and other base utilities [#648](#648), [#661](#661), [#757](#757), [#832](#832) + Port matrix formats, solvers and related kernels to DPC++. For some kernels, also make use of a shared kernel implementation for all executors (except Reference). [#710](#710), [#799](#799), [#779](#779), [#733](#733), [#844](#844), [#843](#843), [#789](#789), [#845](#845), [#849](#849), [#855](#855), [#856](#856) + Add accessors which allow multi-precision kernels, among other things. [#643](#643), [#708](#708) + Add support for mixed precision operations through apply in all LinOps. [#677](#677) + Add incomplete Cholesky factorizations and preconditioners as well as some improvements to ILU. [#672](#672), [#837](#837), [#846](#846) + Add an AMGX implementation and kernels on all devices but DPC++. [#528](#528), [#695](#695), [#860](#860) + Add a new mixed-precision capability solver, Compressed Basis GMRES (CB-GMRES). [#693](#693), [#763](#763) + Add the IDR(s) solver. [#620](#620) + Add a new fixed-size block CSR matrix format (for the Reference executor). [#671](#671), [#730](#730) + Add native mixed-precision support to the ELL format. [#717](#717), [#780](#780) + Add Reverse Cuthill-McKee reordering [#500](#500), [#649](#649) + Add matrix assembly support on CPUs. [#644](#644) + Extends ISAI from triangular to general and spd matrices. [#690](#690) Other additions: + Add the possibility to apply real matrices to complex vectors. [#655](#655), [#658](#658) + Add functions to compute the absolute of a matrix format. [#636](#636) + Add symmetric permutation and improve existing permutations. [#684](#684), [#657](#657), [#663](#663) + Add a MachineTopology class with HWLOC support [#554](#554), [#697](#697) + Add an implicit residual norm criterion. [#702](#702), [#818](#818), [#850](#850) + Row-major accessor is generalized to more than 2 dimensions and a new "block column-major" accessor has been added. [#707](#707) + Add an heat equation example. [#698](#698), [#706](#706) + Add ccache support in CMake and CI. [#725](#725), [#739](#739) + Allow tuning and benchmarking variables non intrusively. [#692](#692) + Add triangular solver benchmark [#664](#664) + Add benchmarks for BLAS operations [#772](#772), [#829](#829) + Add support for different precisions and consistent index types in benchmarks. [#675](#675), [#828](#828) + Add a Github bot system to facilitate development and PR management. [#667](#667), [#674](#674), [#689](#689), [#853](#853) + Add Intel (DPC++) CI support and enable CI on HPC systems. [#736](#736), [#751](#751), [#781](#781) + Add ssh debugging for Github Actions CI. [#749](#749) + Add pipeline segmentation for better CI speed. [#737](#737) Changes: + Add a Scalar Jacobi specialization and kernels. [#808](#808), [#834](#834), [#854](#854) + Add implicit residual log for solvers and benchmarks. [#714](#714) + Change handling of the conjugate in the dense dot product. [#755](#755) + Improved Dense stride handling. [#774](#774) + Multiple improvements to the OpenMP kernels performance, including COO, an exclusive prefix sum, and more. [#703](#703), [#765](#765), [#740](#740) + Allow specialization of submatrix and other dense creation functions in solvers. [#718](#718) + Improved Identity constructor and treatment of rectangular matrices. [#646](#646) + Allow CUDA/HIP executors to select allocation mode. [#758](#758) + Check if executors share the same memory. [#670](#670) + Improve test install and smoke testing support. [#721](#721) + Update the JOSS paper citation and add publications in the documentation. [#629](#629), [#724](#724) + Improve the version output. [#806](#806) + Add some utilities for dim and span. [#821](#821) + Improved solver and preconditioner benchmarks. [#660](#660) + Improve benchmark timing and output. [#669](#669), [#791](#791), [#801](#801), [#812](#812) Fixes: + Sorting fix for the Jacobi preconditioner. [#659](#659) + Also log the first residual norm in CGS [#735](#735) + Fix BiCG and HIP CSR to work with complex matrices. [#651](#651) + Fix Coo SpMV on strided vectors. [#807](#807) + Fix segfault of extract_diagonal, add short-and-fat test. [#769](#769) + Fix device_reset issue by moving counter/mutex to device. [#810](#810) + Fix `EnableLogging` superclass. [#841](#841) + Support ROCm 4.1.x and breaking HIP_PLATFORM changes. [#726](#726) + Decreased test size for a few device tests. [#742](#742) + Fix multiple issues with our CMake HIP and RPATH setup. [#712](#712), [#745](#745), [#709](#709) + Cleanup our CMake installation step. [#713](#713) + Various simplification and fixes to the Windows CMake setup. [#720](#720), [#785](#785) + Simplify third-party integration. [#786](#786) + Improve Ginkgo device arch flags management. [#696](#696) + Other fixes and improvements to the CMake setup. [#685](#685), [#792](#792), [#705](#705), [#836](#836) + Clarification of dense norm documentation [#784](#784) + Various development tools fixes and improvements [#738](#738), [#830](#830), [#840](#840) + Make multiple operators/constructors explicit. [#650](#650), [#761](#761) + Fix some issues, memory leaks and warnings found by MSVC. [#666](#666), [#731](#731) + Improved solver memory estimates and consistent iteration counts [#691](#691) + Various logger improvements and fixes [#728](#728), [#743](#743), [#754](#754) + Fix for ForwardIterator requirements in iterator_factory. [#665](#665) + Various benchmark fixes. [#647](#647), [#673](#673), [#722](#722) + Various CI fixes and improvements. [#642](#642), [#641](#641), [#795](#795), [#783](#783), [#793](#793), [#852](#852) Related PR: #857
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‎CHANGELOG.md‎

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```
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## Version 1.4.0
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The Ginkgo team is proud to announce the new Ginkgo minor release 1.4.0. This
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release brings most of the Ginkgo functionality to the Intel DPC++ ecosystem
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which enables Intel-GPU and CPU execution. The only Ginkgo features which have
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not been ported yet are some preconditioners.
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Ginkgo's mixed-precision support is greatly enhanced thanks to:
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1. The new Accessor concept, which allows writing kernels featuring on-the-fly
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memory compression, among other features. The accessor can be used as
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header-only, see the [accessor BLAS benchmarks repository](https://github.com/ginkgo-project/accessor-BLAS/tree/develop) as a usage example.
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2. All LinOps now transparently support mixed-precision execution. By default,
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this is done through a temporary copy which may have a performance impact but
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already allows mixed-precision research.
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Native mixed-precision ELL kernels are implemented which do not see this cost.
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The accessor is also leveraged in a new CB-GMRES solver which allows for
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performance improvements by compressing the Krylov basis vectors. Many other
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features have been added to Ginkgo, such as reordering support, a new IDR
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solver, Incomplete Cholesky preconditioner, matrix assembly support (only CPU
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for now), machine topology information, and more!
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Supported systems and requirements:
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+ For all platforms, cmake 3.13+
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+ C++14 compliant compiler
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+ Linux and MacOS
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+ gcc: 5.3+, 6.3+, 7.3+, all versions after 8.1+
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+ clang: 3.9+
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+ Intel compiler: 2018+
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+ Apple LLVM: 8.0+
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+ CUDA module: CUDA 9.0+
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+ HIP module: ROCm 3.5+
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+ DPC++ module: Intel OneAPI 2021.3. Set the CXX compiler to `dpcpp`.
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+ Windows
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+ MinGW and Cygwin: gcc 5.3+, 6.3+, 7.3+, all versions after 8.1+
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+ Microsoft Visual Studio: VS 2019
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+ CUDA module: CUDA 9.0+, Microsoft Visual Studio
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+ OpenMP module: MinGW or Cygwin.
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Algorithm and important feature additions:
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+ Add a new DPC++ Executor for SYCL execution and other base utilities
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[#648](https://github.com/ginkgo-project/ginkgo/pull/648), [#661](https://github.com/ginkgo-project/ginkgo/pull/661), [#757](https://github.com/ginkgo-project/ginkgo/pull/757), [#832](https://github.com/ginkgo-project/ginkgo/pull/832)
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+ Port matrix formats, solvers and related kernels to DPC++. For some kernels,
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also make use of a shared kernel implementation for all executors (except
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Reference). [#710](https://github.com/ginkgo-project/ginkgo/pull/710), [#799](https://github.com/ginkgo-project/ginkgo/pull/799), [#779](https://github.com/ginkgo-project/ginkgo/pull/779), [#733](https://github.com/ginkgo-project/ginkgo/pull/733), [#844](https://github.com/ginkgo-project/ginkgo/pull/844), [#843](https://github.com/ginkgo-project/ginkgo/pull/843), [#789](https://github.com/ginkgo-project/ginkgo/pull/789), [#845](https://github.com/ginkgo-project/ginkgo/pull/845), [#849](https://github.com/ginkgo-project/ginkgo/pull/849), [#855](https://github.com/ginkgo-project/ginkgo/pull/855), [#856](https://github.com/ginkgo-project/ginkgo/pull/856)
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+ Add accessors which allow multi-precision kernels, among other things.
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[#643](https://github.com/ginkgo-project/ginkgo/pull/643), [#708](https://github.com/ginkgo-project/ginkgo/pull/708)
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+ Add support for mixed precision operations through apply in all LinOps. [#677](https://github.com/ginkgo-project/ginkgo/pull/677)
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+ Add incomplete Cholesky factorizations and preconditioners as well as some
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improvements to ILU. [#672](https://github.com/ginkgo-project/ginkgo/pull/672), [#837](https://github.com/ginkgo-project/ginkgo/pull/837), [#846](https://github.com/ginkgo-project/ginkgo/pull/846)
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+ Add an AMGX implementation and kernels on all devices but DPC++.
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[#528](https://github.com/ginkgo-project/ginkgo/pull/528), [#695](https://github.com/ginkgo-project/ginkgo/pull/695), [#860](https://github.com/ginkgo-project/ginkgo/pull/860)
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+ Add a new mixed-precision capability solver, Compressed Basis GMRES
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(CB-GMRES). [#693](https://github.com/ginkgo-project/ginkgo/pull/693), [#763](https://github.com/ginkgo-project/ginkgo/pull/763)
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+ Add the IDR(s) solver. [#620](https://github.com/ginkgo-project/ginkgo/pull/620)
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+ Add a new fixed-size block CSR matrix format (for the Reference executor).
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[#671](https://github.com/ginkgo-project/ginkgo/pull/671), [#730](https://github.com/ginkgo-project/ginkgo/pull/730)
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+ Add native mixed-precision support to the ELL format. [#717](https://github.com/ginkgo-project/ginkgo/pull/717), [#780](https://github.com/ginkgo-project/ginkgo/pull/780)
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+ Add Reverse Cuthill-McKee reordering [#500](https://github.com/ginkgo-project/ginkgo/pull/500), [#649](https://github.com/ginkgo-project/ginkgo/pull/649)
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+ Add matrix assembly support on CPUs. [#644](https://github.com/ginkgo-project/ginkgo/pull/644)
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+ Extends ISAI from triangular to general and spd matrices. [#690](https://github.com/ginkgo-project/ginkgo/pull/690)
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Other additions:
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+ Add possibility to apply real matrices to complex vectors.
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[#655](https://github.com/ginkgo-project/ginkgo/pull/655), [#658](https://github.com/ginkgo-project/ginkgo/pull/658)
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+ Add functions to compute the absolute of a matrix format. [#636](https://github.com/ginkgo-project/ginkgo/pull/636)
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+ Add symmetric permutation and improve existing permutations.
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[#684](https://github.com/ginkgo-project/ginkgo/pull/684), [#657](https://github.com/ginkgo-project/ginkgo/pull/657), [#663](https://github.com/ginkgo-project/ginkgo/pull/663)
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+ Add a MachineTopology class with HWLOC support [#554](https://github.com/ginkgo-project/ginkgo/pull/554), [#697](https://github.com/ginkgo-project/ginkgo/pull/697)
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+ Add an implicit residual norm criterion. [#702](https://github.com/ginkgo-project/ginkgo/pull/702), [#818](https://github.com/ginkgo-project/ginkgo/pull/818), [#850](https://github.com/ginkgo-project/ginkgo/pull/850)
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+ Row-major accessor is generalized to more than 2 dimensions and a new
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"block column-major" accessor has been added. [#707](https://github.com/ginkgo-project/ginkgo/pull/707)
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+ Add an heat equation example. [#698](https://github.com/ginkgo-project/ginkgo/pull/698), [#706](https://github.com/ginkgo-project/ginkgo/pull/706)
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+ Add ccache support in CMake and CI. [#725](https://github.com/ginkgo-project/ginkgo/pull/725), [#739](https://github.com/ginkgo-project/ginkgo/pull/739)
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+ Allow tuning and benchmarking variables non intrusively. [#692](https://github.com/ginkgo-project/ginkgo/pull/692)
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+ Add triangular solver benchmark [#664](https://github.com/ginkgo-project/ginkgo/pull/664)
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+ Add benchmarks for BLAS operations [#772](https://github.com/ginkgo-project/ginkgo/pull/772), [#829](https://github.com/ginkgo-project/ginkgo/pull/829)
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+ Add support for different precisions and consistent index types in benchmarks.
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[#675](https://github.com/ginkgo-project/ginkgo/pull/675), [#828](https://github.com/ginkgo-project/ginkgo/pull/828)
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+ Add a Github bot system to facilitate development and PR management.
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[#667](https://github.com/ginkgo-project/ginkgo/pull/667), [#674](https://github.com/ginkgo-project/ginkgo/pull/674), [#689](https://github.com/ginkgo-project/ginkgo/pull/689), [#853](https://github.com/ginkgo-project/ginkgo/pull/853)
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+ Add Intel (DPC++) CI support and enable CI on HPC systems. [#736](https://github.com/ginkgo-project/ginkgo/pull/736), [#751](https://github.com/ginkgo-project/ginkgo/pull/751), [#781](https://github.com/ginkgo-project/ginkgo/pull/781)
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+ Add ssh debugging for Github Actions CI. [#749](https://github.com/ginkgo-project/ginkgo/pull/749)
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+ Add pipeline segmentation for better CI speed. [#737](https://github.com/ginkgo-project/ginkgo/pull/737)
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Changes:
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+ Add a Scalar Jacobi specialization and kernels. [#808](https://github.com/ginkgo-project/ginkgo/pull/808), [#834](https://github.com/ginkgo-project/ginkgo/pull/834), [#854](https://github.com/ginkgo-project/ginkgo/pull/854)
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+ Add implicit residual log for solvers and benchmarks. [#714](https://github.com/ginkgo-project/ginkgo/pull/714)
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+ Change handling of the conjugate in the dense dot product. [#755](https://github.com/ginkgo-project/ginkgo/pull/755)
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+ Improved Dense stride handling. [#774](https://github.com/ginkgo-project/ginkgo/pull/774)
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+ Multiple improvements to the OpenMP kernels performance, including COO,
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an exclusive prefix sum, and more. [#703](https://github.com/ginkgo-project/ginkgo/pull/703), [#765](https://github.com/ginkgo-project/ginkgo/pull/765), [#740](https://github.com/ginkgo-project/ginkgo/pull/740)
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+ Allow specialization of submatrix and other dense creation functions in solvers. [#718](https://github.com/ginkgo-project/ginkgo/pull/718)
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+ Improved Identity constructor and treatment of rectangular matrices. [#646](https://github.com/ginkgo-project/ginkgo/pull/646)
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+ Allow CUDA/HIP executors to select allocation mode. [#758](https://github.com/ginkgo-project/ginkgo/pull/758)
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+ Check if executors share the same memory. [#670](https://github.com/ginkgo-project/ginkgo/pull/670)
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+ Improve test install and smoke testing support. [#721](https://github.com/ginkgo-project/ginkgo/pull/721)
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+ Update the JOSS paper citation and add publications in the documentation.
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[#629](https://github.com/ginkgo-project/ginkgo/pull/629), [#724](https://github.com/ginkgo-project/ginkgo/pull/724)
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+ Improve the version output. [#806](https://github.com/ginkgo-project/ginkgo/pull/806)
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+ Add some utilities for dim and span. [#821](https://github.com/ginkgo-project/ginkgo/pull/821)
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+ Improved solver and preconditioner benchmarks. [#660](https://github.com/ginkgo-project/ginkgo/pull/660)
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+ Improve benchmark timing and output. [#669](https://github.com/ginkgo-project/ginkgo/pull/669), [#791](https://github.com/ginkgo-project/ginkgo/pull/791), [#801](https://github.com/ginkgo-project/ginkgo/pull/801), [#812](https://github.com/ginkgo-project/ginkgo/pull/812)
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Fixes:
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+ Sorting fix for the Jacobi preconditioner. [#659](https://github.com/ginkgo-project/ginkgo/pull/659)
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+ Also log the first residual norm in CGS [#735](https://github.com/ginkgo-project/ginkgo/pull/735)
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+ Fix BiCG and HIP CSR to work with complex matrices. [#651](https://github.com/ginkgo-project/ginkgo/pull/651)
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+ Fix Coo SpMV on strided vectors. [#807](https://github.com/ginkgo-project/ginkgo/pull/807)
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+ Fix segfault of extract_diagonal, add short-and-fat test. [#769](https://github.com/ginkgo-project/ginkgo/pull/769)
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+ Fix device_reset issue by moving counter/mutex to device. [#810](https://github.com/ginkgo-project/ginkgo/pull/810)
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+ Fix `EnableLogging` superclass. [#841](https://github.com/ginkgo-project/ginkgo/pull/841)
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+ Support ROCm 4.1.x and breaking HIP_PLATFORM changes. [#726](https://github.com/ginkgo-project/ginkgo/pull/726)
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+ Decreased test size for a few device tests. [#742](https://github.com/ginkgo-project/ginkgo/pull/742)
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+ Fix multiple issues with our CMake HIP and RPATH setup.
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[#712](https://github.com/ginkgo-project/ginkgo/pull/712), [#745](https://github.com/ginkgo-project/ginkgo/pull/745), [#709](https://github.com/ginkgo-project/ginkgo/pull/709)
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+ Cleanup our CMake installation step. [#713](https://github.com/ginkgo-project/ginkgo/pull/713)
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+ Various simplification and fixes to the Windows CMake setup. [#720](https://github.com/ginkgo-project/ginkgo/pull/720), [#785](https://github.com/ginkgo-project/ginkgo/pull/785)
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+ Simplify third-party integration. [#786](https://github.com/ginkgo-project/ginkgo/pull/786)
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+ Improve Ginkgo device arch flags management. [#696](https://github.com/ginkgo-project/ginkgo/pull/696)
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+ Other fixes and improvements to the CMake setup.
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[#685](https://github.com/ginkgo-project/ginkgo/pull/685), [#792](https://github.com/ginkgo-project/ginkgo/pull/792), [#705](https://github.com/ginkgo-project/ginkgo/pull/705), [#836](https://github.com/ginkgo-project/ginkgo/pull/836)
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+ Clarification of dense norm documentation [#784](https://github.com/ginkgo-project/ginkgo/pull/784)
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+ Various development tools fixes and improvements [#738](https://github.com/ginkgo-project/ginkgo/pull/738), [#830](https://github.com/ginkgo-project/ginkgo/pull/830), [#840](https://github.com/ginkgo-project/ginkgo/pull/840)
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+ Make multiple operators/constructors explicit. [#650](https://github.com/ginkgo-project/ginkgo/pull/650), [#761](https://github.com/ginkgo-project/ginkgo/pull/761)
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+ Fix some issues, memory leaks and warnings found by MSVC.
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[#666](https://github.com/ginkgo-project/ginkgo/pull/666), [#731](https://github.com/ginkgo-project/ginkgo/pull/731)
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+ Improved solver memory estimates and consistent iteration counts [#691](https://github.com/ginkgo-project/ginkgo/pull/691)
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+ Various logger improvements and fixes [#728](https://github.com/ginkgo-project/ginkgo/pull/728), [#743](https://github.com/ginkgo-project/ginkgo/pull/743), [#754](https://github.com/ginkgo-project/ginkgo/pull/754)
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+ Fix for ForwardIterator requirements in iterator_factory. [#665](https://github.com/ginkgo-project/ginkgo/pull/665)
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+ Various benchmark fixes. [#647](https://github.com/ginkgo-project/ginkgo/pull/647), [#673](https://github.com/ginkgo-project/ginkgo/pull/673), [#722](https://github.com/ginkgo-project/ginkgo/pull/722)
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+ Various CI fixes and improvements. [#642](https://github.com/ginkgo-project/ginkgo/pull/642), [#641](https://github.com/ginkgo-project/ginkgo/pull/641), [#795](https://github.com/ginkgo-project/ginkgo/pull/795), [#783](https://github.com/ginkgo-project/ginkgo/pull/783), [#793](https://github.com/ginkgo-project/ginkgo/pull/793), [#852](https://github.com/ginkgo-project/ginkgo/pull/852)
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## Version 1.3.0
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The Ginkgo team is proud to announce the new minor release of Ginkgo version

‎README.md‎

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@@ -62,6 +62,7 @@ The Ginkgo DPC++ module has the following __additional__ requirements:
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* _OneAPI 2021.3+_
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* Set `dpcpp` as the `CMAKE_CXX_COMPILER`
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* `c++17` is used to compile this module, while the rest of Ginkgo is compiled using `c++14`.
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* The following oneAPI packages should be available:
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* oneMKL
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* oneDPL

‎third_party/gflags/CMakeLists.txt‎

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FetchContent_Declare(
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gflags
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GIT_REPOSITORY https://github.com/gflags/gflags.git
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GIT_TAG f7388c6655e699f777a5a74a3c9880b9cfaabe59
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GIT_TAG 827c769e5fc98e0f2a34c47cef953cc6328abced
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)
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# need to set the variables in CACHE due to CMP0077
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set(GFLAGS_BUILD_TESTING OFF CACHE INTERNAL "")

‎third_party/hwloc/CMakeLists.txt‎

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message(STATUS "Configuring and building HWLOC")
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set(TPL_HWLOC_PATH "${PROJECT_BINARY_DIR}/third_party/hwloc")
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ginkgo_load_and_configure_package(hwloc_external "https://download.open-mpi.org/release/hwloc/v2.3/hwloc-2.3.0.tar.gz"
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"SHA1=69d8e2f088d365cf5e86d04f049c6b1e09e2b9c3"
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ginkgo_load_and_configure_package(hwloc_external "https://download.open-mpi.org/release/hwloc/v2.4/hwloc-2.4.1.tar.gz"
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"SHA1=b94950e8958e1125ca75ecac0bc0259ee3d108c4"
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"${TPL_HWLOC_PATH}/src/configure" "--disable-nvml" "--disable-cuda" "--disable-rsmi"
66
)
77

‎third_party/rapidjson/CMakeLists.txt‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -3,12 +3,12 @@ include(FetchContent)
33
FetchContent_Declare(
44
rapidjson
55
GIT_REPOSITORY https://github.com/Tencent/rapidjson.git
6-
GIT_TAG 88bd956d66d348f478bceebfdadb8e26c6844695
6+
GIT_TAG 48fbd8cd202ca54031fe799db2ad44ffa8e77c13
77
)
88
FetchContent_GetProperties(rapidjson)
99
if(NOT rapidjson_POPULATED)
1010
FetchContent_Populate(rapidjson)
1111
endif()
1212
set(RapidJSON_INCLUDE_DIR "${rapidjson_SOURCE_DIR}/include")
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add_library(rapidjson INTERFACE)
14-
set_target_properties(rapidjson PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${RapidJSON_INCLUDE_DIR}")
14+
set_target_properties(rapidjson PROPERTIES INTERFACE_INCLUDE_DIRECTORIES "${RapidJSON_INCLUDE_DIR}")

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