NVIDIA / NVIDIA/AMGX

[Build] CMake Error in Windows with GCC

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Description

Describe the issue

Dear AMGX's developers, I'm trying to build AMGX with gcc in windows, but got error in cmake. The follows are my environment information.

Environment information:

  • OS: Windows 10 (22H2)
  • Compiler version: gcc.exe (x86_64-posix-seh-rev0, Built by MinGW-W64 project) 7.3.0
  • CMake version: 3.27.7
  • CUDA used for AMGX compilation: CUDA 12.3.107
  • MPI version (if applicable): I have not use MPI
  • AMGX version or commit hash: c3736bc69c4c37198b584c28fe24e005a48993b3

Configuration information

  1. clone the project
git clone --recursive https://github.com/NVIDIA/AMGX.git
mkdir build
cd build

The output:

Cloning into 'AMGX'...
remote: Enumerating objects: 3303, done.
remote: Counting objects: 100% (1578/1578), done.
remote: Compressing objects: 100% (655/655), done.
remote: Total 3303 (delta 1190), reused 1041 (delta 921), pack-reused 1725
Receiving objects: 100% (3303/3303), 3.37 MiB | 2.21 MiB/s, done.
Resolving deltas: 100% (2195/2195), done.
Submodule 'thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'thrust'
Cloning into 'D:/dev/test_amgx/AMGX/thrust'...
remote: Enumerating objects: 50516, done.
remote: Counting objects: 100% (234/234), done.
remote: Compressing objects: 100% (139/139), done.
remote: Total 50516 (delta 98), reused 199 (delta 86), pack-reused 50282
Receiving objects: 100% (50516/50516), 17.39 MiB | 3.81 MiB/s, done.
Resolving deltas: 100% (40159/40159), done.
Submodule path 'thrust': checked out '3cd56842c94de4926157f6ccdfbbf03ef7e5d5dc'
Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'thrust/dependencies/cub'
Cloning into 'D:/dev/test_amgx/AMGX/thrust/dependencies/cub'...
remote: Enumerating objects: 33392, done.
remote: Counting objects: 100% (761/761), done.
remote: Compressing objects: 100% (298/298), done.
remote: Total 33392 (delta 466), reused 706 (delta 440), pack-reused 32631
Receiving objects: 100% (33392/33392), 17.99 MiB | 3.44 MiB/s, done.
Resolving deltas: 100% (27985/27985), done.
Cloning into 'D:/dev/test_amgx/AMGX/thrust/dependencies/libcudacxx'...
remote: Enumerating objects: 55840, done.
remote: Counting objects: 100% (55840/55840), done.
Receiving objects: 100% (55840/55840), 13.73 MiB | 3.37 MiB/s, done.
Resolving deltas: 100% (39844/39844), done.
Submodule path 'thrust/dependencies/cub': checked out '48b555897ee66bcd057a521ed39d62b7688c7d59'
Submodule path 'thrust/dependencies/libcudacxx': checked out '55dd2c99346baa3a14949a0f7e9c41865e434eda'
  1. configure cmake
cmake .. -G "MinGW Makefiles"

And there is error:

CMake Error at C:/Program Files/CMake/share/cmake-3.27/Modules/CMakeDetermineCompilerId.cmake:753 (message):
  Compiling the CUDA compiler identification source file
  "CMakeCUDACompilerId.cu" failed.

  Compiler: C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\bin\nvcc.exe

  Build flags:

  Id flags: --keep;--keep-dir;tmp -v



  The output was:

  2



  D:\dev\test_amgx\AMGX\build\CMakeFiles\3.27.7\CompilerIdCUDA>call
  "C:/Program Files/Microsoft Visual
  Studio/2022/Community/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/../../../../../../../VC/Auxiliary/Build/vcvars64.bat"


  **********************************************************************

  ** Visual Studio 2022 Developer Command Prompt v17.7.5

  ** Copyright (c) 2022 Microsoft Corporation

  **********************************************************************

  [vcvarsall.bat] Environment initialized for: 'x64'

  #$ C:/Program Files/Microsoft Visual
  Studio/2022/Community/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/../../../../../../../VC/Auxiliary/Build/vcvars64.bat


  #$ ALLUSERSPROFILE=C:\ProgramData

  #$ AMGX_DIR=D:\extern\AMGX

  #$ ANSYSEMSV_ROOT232=C:\Program Files\AnsysEM\Ansys Student\v232\Win64

  #$ APPDATA=C:\Users\usr\AppData\Roaming

  #$ BOOST_LIBRARYDIR=D:\usr\local\lib\lib

  #$ Boost_ROOT=D:\usr\local

  #$ ChocolateyInstall=C:\ProgramData\chocolatey\

  #$ ChocolateyLastPathUpdate=133426024757923592

  #$ ChocolateyToolsLocation=D:\Tools\

  #$ CLion=C:\Program Files\JetBrains\CLion 2023.1.4\bin;

  #$ CMAKE_MODULE_PATH=D:\extern

  #$ CommandPromptType=Native

  #$ CommonProgramFiles=C:\Program Files\Common Files

  #$ CommonProgramFiles(x86)=C:\Program Files (x86)\Common Files

  #$ CommonProgramW6432=C:\Program Files\Common Files

  #$ COMPUTERNAME=DESKTOP-FICL7E3

  #$ ComSpec=C:\Windows\system32\cmd.exe

  #$ CPOLAR_HOME=C:\Program Files\cpolar\

  #$ CudaToolkitDir=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3

  #$ CUDA_PATH_V12_3=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3

  #$ DevEco Studio=C:\Program Files\Huawei\DevEco Studio\bin;

  #$ DevEnvDir=C:\Program Files\Microsoft Visual
  Studio\2022\Community\Common7\IDE\

  #$ DriverData=C:\Windows\System32\Drivers\DriverData

  #$ EIGEN3_INCLUDE_DIR=D:\extern\eigen

  #$ ExtensionSdkDir=C:\Program Files (x86)\Microsoft SDKs\Windows
  Kits\10\ExtensionSDKs

  #$ EXTERNAL_INCLUDE=C:\Program Files\Microsoft Visual
  Studio\2022\Community\VC\Tools\MSVC\14.37.32822\include;C:\Program
  Files\Microsoft Visual
  Studio\2022\Community\VC\Tools\MSVC\14.37.32822\ATLMFC\include;C:\Program
  Files\Microsoft Visual
  Studio\2022\Community\VC\Auxiliary\VS\include;C:\Program Files
  (x86)\Windows Kits\10\include\10.0.22000.0\ucrt;C:\Program Files
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  #$ Framework40Version=v4.0

  #$ FrameworkDir=C:\Windows\Microsoft.NET\Framework64\

  #$ FrameworkDir64=C:\Windows\Microsoft.NET\Framework64\

  #$ FrameworkVersion=v4.0.30319

  #$ FrameworkVersion64=v4.0.30319

  #$ FSHARPINSTALLDIR=C:\Program Files\Microsoft Visual
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  #$ Gallop_PATH=C:\Program Files\WGallop\

  #$ HOMEDRIVE=C:

  #$ HOMEPATH=\Users\usr

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  #$ INTEL_LICENSE_FILE=C:\Program Files (x86)\Common Files\Intel\Licenses

  #$ I_MPI_ROOT=C:\Program Files
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  #$ LOCALAPPDATA=C:\Users\usr\AppData\Local

  #$ LOGONSERVER=\\DESKTOP-FICL7E3

  #$ LUA_CPATH=C:\Program Files\WGallop\?.dll;C:\Program
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  #$ MSMPI_BENCHMARKS=C:\Program Files\Microsoft MPI\Benchmarks\

  #$ MSMPI_BIN=C:\Program Files\Microsoft MPI\Bin\

  #$ NETFXSDKDir=C:\Program Files (x86)\Windows Kits\NETFXSDK\4.8\

  #$ NUMBER_OF_PROCESSORS=24

  #$ OS=Windows_NT

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  #$ PROCESSOR_IDENTIFIER=Intel64 Family 6 Model 151 Stepping 2, GenuineIntel

  #$ PROCESSOR_LEVEL=6

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  #$ ProgramData=C:\ProgramData

  #$ ProgramFiles=C:\Program Files

  #$ ProgramFiles(x86)=C:\Program Files (x86)

  #$ ProgramW6432=C:\Program Files

  #$ PROMPT=$P$G

  #$ PSModulePath=C:\Users\usr\Documents\WindowsPowerShell\Modules;C:\Program
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  #$ UCRTVersion=10.0.22000.0

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  Files\gmsh-4.11.1-Windows64\;C:\Program Files (x86)\Microsoft SQL
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  2023.1.2\bin;C:\Program Files\JetBrains\PyCharm 2023.1.3\bin;C:\Program
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  Files\PolyOS Qemu;C:\Program Files\Huawei\DevEco
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  Files\doxygen\bin;C:\Program
  Files\Neovim\bin;C:\Users\usr\AppData\Roaming\npm;C:\ProgramData\chocolatey\bin


  #$ PATH=C:\Program Files\Microsoft Visual
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  Files\Microsoft Visual
  Studio\2022\Community\VC\Tools\MSVC\14.37.32822\bin\HostX64\x64;C:\Program
  Files\Microsoft Visual
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  Visual
  Studio\2022\Community\Common7\IDE\CommonExtensions\Microsoft\TestWindow;C:\Program
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  Studio\2022\Community\Common7\IDE\CommonExtensions\Microsoft\TeamFoundation\Team
  Explorer;C:\Program Files\Microsoft Visual
  Studio\2022\Community\MSBuild\Current\bin\Roslyn;C:\Program Files\Microsoft
  Visual Studio\2022\Community\Team Tools\Performance Tools\x64;C:\Program
  Files\Microsoft Visual Studio\2022\Community\Team Tools\Performance
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  Files (x86)\Windows Kits\10\bin\10.0.22000.0\\x64;C:\Program Files
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  #$ INCLUDES="-IC:\Program Files\NVIDIA GPU Computing
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  #$ CUDAFE_FLAGS=

  #$ PTXAS_FLAGS=

  #$ erase tmp/a_dlink.reg.c

  CMakeCUDACompilerId.cu

  #$ resource file tmp/CMakeCUDACompilerId.cpp4.ii.res:
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  -D__CUDACC_VER_MAJOR__=12 -D__CUDACC_VER_MINOR__=3
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  -D__CUDA_API_VER_MINOR__=3 -D__NVCC_DIAG_PRAGMA_SUPPORT__=1 -FI
  "cuda_runtime.h" "CMakeCUDACompilerId.cu" ]

  #$ cl.exe @"tmp/CMakeCUDACompilerId.cpp4.ii.res" >
  "tmp/CMakeCUDACompilerId.cpp4.ii"

  CMakeCUDACompilerId.cu

  #$ cudafe++ --microsoft_version=1937 --msvc_target_version=1937
  --compiler_bindir "C:/Program Files/Microsoft Visual
  Studio/2022/Community/VC/Tools/MSVC/14.37.32822/bin/Hostx64/x64/../../../../../../.."
  --sdk_dir "C:/Program Files (x86)/Windows Kits/10/" --display_error_number
  --orig_src_file_name "CMakeCUDACompilerId.cu" --orig_src_path_name
  "D:\dev\test_amgx\AMGX\build\CMakeFiles\3.27.7\CompilerIdCUDA\CMakeCUDACompilerId.cu"
  --allow_managed --m64 --parse_templates --gen_c_file_name
  "tmp/CMakeCUDACompilerId.cudafe1.cpp" --stub_file_name
  "CMakeCUDACompilerId.cudafe1.stub.c" --gen_module_id_file
  --module_id_file_name "tmp/CMakeCUDACompilerId.module_id"
  "tmp/CMakeCUDACompilerId.cpp4.ii"

  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\device_types.h(74): warning #12-D: parsing
  restarts here after previous syntax error

    };
     ^



  Remark: The warnings can be suppressed with "-diag-suppress
  <warning-number>"



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\driver_types.h(1098): warning #12-D: parsing
  restarts here after previous syntax error

    };
     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\cuda_device_runtime_api.h(236): warning #12-D:
  parsing restarts here after previous syntax error

    extern __declspec(__device__) __declspec(__cudart_builtin__) cudaError_t __stdcall __cudaCDP2DeviceGetAttribute(int *value, enum cudaDeviceAttr attr, int device);

                                                                         ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\cuda_device_runtime_api.h(729): error: expected
  a declaration

    }
    ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\cuda_runtime_api.h(13053): error: linkage
  specification is incompatible with previous "cudaGraphLaunch" (declared at
  line 282 of C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\cuda_device_runtime_api.h)

    extern __declspec(__host__) cudaError_t __stdcall cudaGraphLaunch(cudaGraphExec_t graphExec, cudaStream_t stream);
                                                      ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(222): warning #12-D:
  parsing restarts here after previous syntax error

    extern __declspec(__host__) __declspec(__device__) __declspec(__device_builtin__) __declspec(__cudart_builtin__) int            __cdecl abs(int a) ;

                                                           ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(10547): error: expected a
  declaration

    }
    ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(10839): warning #12-D:
  parsing restarts here after previous syntax error

    extern __declspec(__host__) __declspec(__device__) __declspec(__cudart_builtin__)  double __cdecl _hypot(double x, double y);

                                    ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(11314): error: namespace
  "std" has no member "enable_if_t"

    template <class _Ty1, class _Ty2, ::std:: enable_if_t< ::std:: is_arithmetic_v<_Ty1> && ::std:: is_arithmetic_v<_Ty2>, int> > [[nodiscard]] __declspec(__host__) __declspec(__device__) __declspec(__cudart_builtin__) ::std:: _Common_float_type_t<_Ty1, _Ty2> __cdecl pow(_Ty1 _Left, _Ty2 _Right) noexcept;
                                              ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(11314): error: expected a
  "," or ">"

    template <class _Ty1, class _Ty2, ::std:: enable_if_t< ::std:: is_arithmetic_v<_Ty1> && ::std:: is_arithmetic_v<_Ty2>, int> > [[nodiscard]] __declspec(__host__) __declspec(__device__) __declspec(__cudart_builtin__) ::std:: _Common_float_type_t<_Ty1, _Ty2> __cdecl pow(_Ty1 _Left, _Ty2 _Right) noexcept;
                                                         ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(11314): error: namespace
  "std" has no member "is_arithmetic_v"

    template <class _Ty1, class _Ty2, ::std:: enable_if_t< ::std:: is_arithmetic_v<_Ty1> && ::std:: is_arithmetic_v<_Ty2>, int> > [[nodiscard]] __declspec(__host__) __declspec(__device__) __declspec(__cudart_builtin__) ::std:: _Common_float_type_t<_Ty1, _Ty2> __cdecl pow(_Ty1 _Left, _Ty2 _Right) noexcept;

        ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\math_functions.h(11314): error: expected a
  ";"

    template <class _Ty1, class _Ty2, ::std:: enable_if_t< ::std:: is_arithmetic_v<_Ty1> && ::std:: is_arithmetic_v<_Ty2>, int> > [[nodiscard]] __declspec(__host__) __declspec(__device__) __declspec(__cudart_builtin__) ::std:: _Common_float_type_t<_Ty1, _Ty2> __cdecl pow(_Ty1 _Left, _Ty2 _Right) noexcept;

                       ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1154): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double dmul(double a, double b, enum cudaRoundMode mode = cudaRoundNearest);

         ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1156): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double dadd(double a, double b, enum cudaRoundMode mode = cudaRoundNearest);

         ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1158): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double dsub(double a, double b, enum cudaRoundMode mode = cudaRoundNearest);

         ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1160): error:
  identifier "cudaRoundZero" is undefined

    static __inline __declspec(__device__) int double2int(double a, enum cudaRoundMode mode = cudaRoundZero);

  ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1162): error:
  identifier "cudaRoundZero" is undefined

    static __inline __declspec(__device__) unsigned int double2uint(double a, enum cudaRoundMode mode = cudaRoundZero);

            ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1164): error:
  identifier "cudaRoundZero" is undefined

    static __inline __declspec(__device__) long long int double2ll(double a, enum cudaRoundMode mode = cudaRoundZero);

           ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1166): error:
  identifier "cudaRoundZero" is undefined

    static __inline __declspec(__device__) unsigned long long int double2ull(double a, enum cudaRoundMode mode = cudaRoundZero);

                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1168): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double ll2double(long long int a, enum cudaRoundMode mode = cudaRoundNearest);

           ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1170): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double ull2double(unsigned long long int a, enum cudaRoundMode mode = cudaRoundNearest);

                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1172): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double int2double(int a, enum cudaRoundMode mode = cudaRoundNearest);

  ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1174): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double uint2double(unsigned int a, enum cudaRoundMode mode = cudaRoundNearest);

            ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.h(1176): error:
  identifier "cudaRoundNearest" is undefined

    static __inline __declspec(__device__) double float2double(float a, enum cudaRoundMode mode = cudaRoundNearest);

      ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(95): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __fma_rz(a, b, c) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(96): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __fma_ru(a, b, c) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(97): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __fma_rd(a, b, c) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(103): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __dmul_rz(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(104): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __dmul_ru(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(105): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __dmul_rd(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(111): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __dadd_rz(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(112): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __dadd_ru(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(113): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __dadd_rd(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(119): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __dsub_rz(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(120): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __dsub_ru(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(121): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __dsub_rd(a, b) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(127): error:
  identifier "cudaRoundNearest" is undefined

      return mode == cudaRoundNearest ? __double2int_rn(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(128): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf  ? __double2int_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(129): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf  ? __double2int_rd(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(135): error:
  identifier "cudaRoundNearest" is undefined

      return mode == cudaRoundNearest ? __double2uint_rn(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(136): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf  ? __double2uint_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(137): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf  ? __double2uint_rd(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(143): error:
  identifier "cudaRoundNearest" is undefined

      return mode == cudaRoundNearest ? __double2ll_rn(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(144): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf  ? __double2ll_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(145): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf  ? __double2ll_rd(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(151): error:
  identifier "cudaRoundNearest" is undefined

      return mode == cudaRoundNearest ? __double2ull_rn(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(152): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf  ? __double2ull_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(153): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf  ? __double2ull_rd(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(159): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __ll2double_rz(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(160): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __ll2double_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(161): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __ll2double_rd(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(167): error:
  identifier "cudaRoundZero" is undefined

      return mode == cudaRoundZero   ? __ull2double_rz(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(168): error:
  identifier "cudaRoundPosInf" is undefined

             mode == cudaRoundPosInf ? __ull2double_ru(a) :
                     ^



  C:\Program Files\NVIDIA GPU Computing
  Toolkit\CUDA\v12.3\include\crt\device_double_functions.hpp(169): error:
  identifier "cudaRoundMinInf" is undefined

             mode == cudaRoundMinInf ? __ull2double_rd(a) :
                     ^



  49 errors detected in the compilation of "CMakeCUDACompilerId.cu".

  # --error 0x2 --





Call Stack (most recent call first):
  C:/Program Files/CMake/share/cmake-3.27/Modules/CMakeDetermineCompilerId.cmake:8 (CMAKE_DETERMINE_COMPILER_ID_BUILD)
  C:/Program Files/CMake/share/cmake-3.27/Modules/CMakeDetermineCompilerId.cmake:53 (__determine_compiler_id_test)
  C:/Program Files/CMake/share/cmake-3.27/Modules/CMakeDetermineCUDACompiler.cmake:307 (CMAKE_DETERMINE_COMPILER_ID)
  CMakeLists.txt:30 (project)


-- Configuring incomplete, errors occurred!

Is it only compiled with MSVC on windows? Any help will be appreciated. Thank you.

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Research direction

Reproduce the reported cmake .. -G "MinGW Makefiles" configuration on Windows using the stated GCC, CMake, and CUDA versions. Start with the compiler-identification failure in CMakeDetermineCompilerId.cmake; done means AMGX configures successfully with the MinGW generator without the reported CUDA compiler error.

Written by the indexing model from the issue text.

Assessment

Tech stack
cmake
Domain
build-system, operating-systems
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
28/100

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