GPU编译错误

[monkeycc]

---

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---

环境

• 【FastDeploy版本】： develop 20250422
• 【编译命令】

set ENABLE_ORT_BACKEND=OFF
set ENABLE_PADDLE_BACKEND=OFF
set ENABLE_OPENVINO_BACKEND=OFF
set ENABLE_VISION=ON
set ENABLE_TEXT=ON
set ENABLE_TRT_BACKEND=Off
set WITH_GPU=ON
set CUDA_DIRECTORY=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8
set OPENCV_DIRECTORY=D:\AI\opencv\build\x64\vc16\lib
python setup.py build

• 【系统平台】: Windows x64(Windows11)
• 【硬件】： Nvidia GPU 5090D， CUDA 12.8 CUDNN 9.8
• 【编译语言】： anaconda Python3.10

问题日志及出现问题的操作流程

I:\AI\FastDeploy-develop\python\setup.py:121: DeprecationWarning: Use shutil.which instead of find_executable
  CMAKE = find_executable('cmake3') or find_executable('cmake')
I:\AI\FastDeploy-develop\python\setup.py:122: DeprecationWarning: Use shutil.which instead of find_executable
  MAKE = find_executable('make')
running build
running build_py
running create_version
running cmake_build
-- Building for: Visual Studio 17 2022
CMake Warning (dev) at CMakeLists.txt:15 (PROJECT):
  cmake_minimum_required() should be called prior to this top-level project()
  call.  Please see the cmake-commands(7) manual for usage documentation of
  both commands.
This warning is for project developers.  Use -Wno-dev to suppress it.

-- Selecting Windows SDK version 10.0.22621.0 to target Windows 10.0.26100.
-- The C compiler identification is MSVC 19.43.34809.0
-- The CXX compiler identification is MSVC 19.43.34809.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: D:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.43.34808/bin/Hostx64/x64/cl.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: D:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.43.34808/bin/Hostx64/x64/cl.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- The CUDA compiler identification is NVIDIA 12.8.93 with host compiler MSVC 19.43.34809.0
-- Detecting CUDA compiler ABI info
-- Detecting CUDA compiler ABI info - done
-- Check for working CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.8/bin/nvcc.exe - skipped
-- Detecting CUDA compile features
-- Detecting CUDA compile features - done
-- CUDA compiler: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.8/bin/nvcc.exe, version: NVIDIA 12.8.93
Using New Release Strategy - All Arches Packge
-- CUDA detected: 12.8.93
-- NVCC_FLAGS_EXTRA:  -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86
CMake Deprecation Warning at third_party/yaml-cpp/CMakeLists.txt:2 (cmake_minimum_required):
  Compatibility with CMake < 3.10 will be removed from a future version of
  CMake.

  Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
  to tell CMake that the project requires at least <min> but has been updated
  to work with policies introduced by <max> or earlier.


-- Use the opencv lib specified by user. The OpenCV path: D:/AI/opencv/build/x64/vc16/lib
-- Found OpenCV: D:/AI/opencv/build (found version "4.11.0")
FASTTOKENIZER_COMPILE_LIB = I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/third_libs/install/fast_tokenizer/lib/core_tokenizers.lib
CMake Warning (dev) at D:/Program Files/CMake/share/cmake-4.0/Modules/ExternalProject/shared_internal_commands.cmake:1276 (message):
  The DOWNLOAD_EXTRACT_TIMESTAMP option was not given and policy CMP0135 is
  not set.  The policy's OLD behavior will be used.  When using a URL
  download, the timestamps of extracted files should preferably be that of
  the time of extraction, otherwise code that depends on the extracted
  contents might not be rebuilt if the URL changes.  The OLD behavior
  preserves the timestamps from the archive instead, but this is usually not
  what you want.  Update your project to the NEW behavior or specify the
  DOWNLOAD_EXTRACT_TIMESTAMP option with a value of true to avoid this
  robustness issue.
Call Stack (most recent call first):
  D:/Program Files/CMake/share/cmake-4.0/Modules/ExternalProject.cmake:3076 (_ep_add_download_command)
  cmake/fast_tokenizer.cmake:110 (ExternalProject_Add)
  CMakeLists.txt:459 (include)
This warning is for project developers.  Use -Wno-dev to suppress it.

--
-- *************FastDeploy Building Summary**********
--   CMake version             : 4.0.0
--   CMake command             : D:/Program Files/CMake/bin/cmake.exe
--   System                    : Windows
--   C++ compiler              : D:/Program Files/Microsoft Visual Studio/2022/Community/VC/Tools/MSVC/14.43.34808/bin/Hostx64/x64/cl.exe
--   C++ standard              :
--   C++ cuda standard         : 11
--   C++ compiler version      : 19.43.34809.0
--   CXX flags                 : /DWIN32 /D_WINDOWS /W3 /GR /EHsc
--   EXE linker flags          : /machine:x64
--   Shared linker flags       : /machine:x64
--   Build type                : Release
--   Compile definitions       : YAML_CPP_DLL;FASTDEPLOY_LIB;CMAKE_BUILD_TYPE=Release;EIGEN_STRONG_INLINE=inline;WITH_GPU;ENABLE_NVJPEG;ENABLE_VISION;ENABLE_TEXT
--   CMAKE_PREFIX_PATH         :
--   CMAKE_INSTALL_PREFIX      : C:/Program Files/fastdeploy
--   CMAKE_MODULE_PATH         :
--
--   FastDeploy version        : 0.0.0
--   ENABLE_ORT_BACKEND        : OFF
--   ENABLE_RKNPU2_BACKEND     : OFF
--   ENABLE_HORIZON_BACKEND    : OFF
--   ENABLE_SOPHGO_BACKEND     : OFF
--   ENABLE_PADDLE_BACKEND     : OFF
--   ENABLE_LITE_BACKEND       : OFF
--   ENABLE_POROS_BACKEND      : OFF
--   ENABLE_TRT_BACKEND        : Off
--   ENABLE_OPENVINO_BACKEND   : OFF
--   ENABLE_TVM_BACKEND        : OFF
--   ENABLE_BENCHMARK          : OFF
--   ENABLE_VISION             : ON
--   ENABLE_TEXT               : ON
--   ENABLE_ENCRYPTION         : OFF
--   ENABLE_FLYCV              : OFF
--   ENABLE_CVCUDA             : OFF
--   WITH_GPU                  : ON
--   WITH_IPU                  : OFF
--   WITH_OPENCL               : OFF
--   WITH_TESTING              : OFF
--   WITH_ASCEND               : OFF
--   WITH_DIRECTML             : OFF
--   WITH_TIMVX                : OFF
--   WITH_KUNLUNXIN            : OFF
--   WITH_CAPI                 : OFF
--   WITH_CSHARPAPI            : OFF
--   CUDA_DIRECTORY            : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.8
--   TRT_DRECTORY              : I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/UNDEFINED
--   Python executable         : D:\anaconda3\envs\FastDeploy\python.exe
--   Python includes           : D:\anaconda3\envs\FastDeploy\include
CMake Warning (dev) at CMakeLists.txt:694 (find_package):
  Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
  are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
  the cmake_policy command to set the policy and suppress this warning.

This warning is for project developers.  Use -Wno-dev to suppress it.

-- Found PythonInterp: D:/anaconda3/envs/FastDeploy/python.exe (found suitable version "3.10.16", minimum required is "3.10")
CMake Warning (dev) at CMakeLists.txt:695 (find_package):
  Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
  are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
  the cmake_policy command to set the policy and suppress this warning.

This warning is for project developers.  Use -Wno-dev to suppress it.

-- Found PythonLibs: D:/anaconda3/envs/FastDeploy/libs/python310.lib (found suitable version "3.10.16", minimum required is "3.10")
-- Configuring done (8.2s)
-- Generating done (0.3s)
CMake Warning:
  Manually-specified variables were not used by the project:

    ONNX_NAMESPACE
    PADDLE2ONNX_URL
    PADDLEINFERENCE_API_COMPAT_2_4_x
    PADDLEINFERENCE_API_COMPAT_2_5_x
    PADDLEINFERENCE_API_COMPAT_DEV
    PADDLEINFERENCE_API_CUSTOM_OP
    PADDLEINFERENCE_DIRECTORY
    PADDLEINFERENCE_URL
    PADDLELITE_URL


-- Build files have been written to: I:/AI/FastDeploy-develop/python/.setuptools-cmake-build
适用于 .NET Framework MSBuild 版本 17.13.19+0d9f5a35a

  Checking File Globs
  1>Checking Build System
  Creating directories for 'extern_fast_tokenizer'
  Building Custom Rule I:/AI/FastDeploy-develop/CMakeLists.txt
  Performing download step (download, verify and extract) for 'extern_fast_tokenizer'
  -- Downloading...
     dst='I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/third_libs/fast_tokenizer/src/fast_tokenizer-win-x64-
  1.0.2.zip'
     timeout='none'
     inactivity timeout='none'
  -- Using src='https://bj.bcebos.com/paddlenlp/fast_tokenizer/fast_tokenizer-win-x64-1.0.2.zip'
  -- Downloading... done
  -- extracting...
       src='I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/third_libs/fast_tokenizer/src/fast_tokenizer-win-x6
  4-1.0.2.zip'
       dst='I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/third_libs/fast_tokenizer/src/extern_fast_tokenizer
  '
  -- extracting... [tar xfz]
  -- extracting... [analysis]
  -- extracting... [rename]
  -- extracting... [clean up]
  -- extracting... done
  No update step for 'extern_fast_tokenizer'
  No patch step for 'extern_fast_tokenizer'
  No configure step for 'extern_fast_tokenizer'
  No build step for 'extern_fast_tokenizer'
  Performing install step for 'extern_fast_tokenizer'
  Completed 'extern_fast_tokenizer'
  Building Custom Rule I:/AI/FastDeploy-develop/third_party/yaml-cpp/CMakeLists.txt
cl : 命令行  warning D9025: 正在重写“/W3”(用“/w”) [I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_party\yaml-cpp
\yaml-cpp.vcxproj]
  graphbuilder.cpp
  Defining YAML_CPP_API for DLL export
  graphbuilderadapter.cpp
  Defining YAML_CPP_API for DLL export
  binary.cpp
  Defining YAML_CPP_API for DLL export
  convert.cpp
  Defining YAML_CPP_API for DLL export
  depthguard.cpp
  Defining YAML_CPP_API for DLL export
  directives.cpp
  emit.cpp
  Defining YAML_CPP_API for DLL export
  emitfromevents.cpp
  Defining YAML_CPP_API for DLL export
  emitter.cpp
  Defining YAML_CPP_API for DLL export
  emitterstate.cpp
  Defining YAML_CPP_API for DLL export
  emitterutils.cpp
  Defining YAML_CPP_API for DLL export
  exceptions.cpp
  Defining YAML_CPP_API for DLL export
  exp.cpp
  Defining YAML_CPP_API for DLL export
  memory.cpp
  Defining YAML_CPP_API for DLL export
  node.cpp
  Defining YAML_CPP_API for DLL export
  node_data.cpp
  Defining YAML_CPP_API for DLL export
  nodebuilder.cpp
  Defining YAML_CPP_API for DLL export
  nodeevents.cpp
  Defining YAML_CPP_API for DLL export
  null.cpp
  Defining YAML_CPP_API for DLL export
  ostream_wrapper.cpp
  Defining YAML_CPP_API for DLL export
  正在生成代码...
  正在编译...
  parse.cpp
  Defining YAML_CPP_API for DLL export
  parser.cpp
  Defining YAML_CPP_API for DLL export
  regex_yaml.cpp
  Defining YAML_CPP_API for DLL export
  scanner.cpp
  Defining YAML_CPP_API for DLL export
  scanscalar.cpp
  Defining YAML_CPP_API for DLL export
  scantag.cpp
  Defining YAML_CPP_API for DLL export
  scantoken.cpp
  Defining YAML_CPP_API for DLL export
  simplekey.cpp
  Defining YAML_CPP_API for DLL export
  singledocparser.cpp
  Defining YAML_CPP_API for DLL export
  stream.cpp
  Defining YAML_CPP_API for DLL export
  tag.cpp
  Defining YAML_CPP_API for DLL export
  正在生成代码...
    正在创建库 I:/AI/FastDeploy-develop/python/.setuptools-cmake-build/third_party/yaml-cpp/Release/yaml-cpp.lib 和对象 I:/AI/F
  astDeploy-develop/python/.setuptools-cmake-build/third_party/yaml-cpp/Release/yaml-cpp.exp
  yaml-cpp.vcxproj -> I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_party\yaml-cpp\Release\yaml-cpp.dll
  Building Custom Rule I:/AI/FastDeploy-develop/CMakeLists.txt
  Compiling CUDA source file ..\..\fastdeploy\vision\utils\yolo_preprocess.cu...
  Compiling CUDA source file ..\..\fastdeploy\runtime\backends\common\cuda\adaptive_pool2d_kernel.cu...
  Compiling CUDA source file ..\..\fastdeploy\vision\common\processors\normalize.cu...
  Compiling CUDA source file ..\..\fastdeploy\vision\common\processors\normalize_and_permute.cu...
  Compiling CUDA source file ..\..\fastdeploy\function\cuda_cast.cu...

  (FastDeploy) I:\AI\FastDeploy-develop\python\.setuptools-cmake-build>"C:\Program Files\NVIDIA GPU Computing Toolkit\C
  UDA\v12.8\bin\nvcc.exe"  --use-local-env -ccbin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSV
  C\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\AI\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build" -I"I:\AI\FastDeploy-develop\third_party\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12
  .8\include" -I"I:\AI\FastDeploy-develop\third_party\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build\third_libs\install\fast_tokenizer\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\thi
  rd_libs\install\fast_tokenizer\third_party\include" -ID:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Compu
  ting Toolkit\CUDA\v12.8\include"     --keep-dir fastdeploy\x64\Release  -maxrregcount=0    --machine 64 --compile -cu
  dart static -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_
  52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -genco
  de arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -w --expt-relax
  ed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /wd4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DND
  EBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJP
  EG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL
  _FILE__=\"fastdeploy/function/cuda_cast.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPL
  OY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TE
  XT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS
    /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.dir\Release\cuda_cast.obj "I:\AI\FastDeploy
  -develop\fastdeploy\function\cuda_cast.cu"

  (FastDeploy) I:\AI\FastDeploy-develop\python\.setuptools-cmake-build>"C:\Program Files\NVIDIA GPU Computing Toolkit\C
  UDA\v12.8\bin\nvcc.exe"  --use-local-env -ccbin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSV
  C\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\AI\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build" -I"I:\AI\FastDeploy-develop\third_party\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12
  .8\include" -I"I:\AI\FastDeploy-develop\third_party\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build\third_libs\install\fast_tokenizer\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\thi
  rd_libs\install\fast_tokenizer\third_party\include" -ID:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Compu
  ting Toolkit\CUDA\v12.8\include"     --keep-dir fastdeploy\x64\Release  -maxrregcount=0    --machine 64 --compile -cu
  dart static -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_
  52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -genco
  de arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -w --expt-relax
  ed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /wd4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DND
  EBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJP
  EG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL
  _FILE__=\"fastdeploy/vision/utils/yolo_preprocess.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL
  -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -
  DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0 /nolog
  o /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.dir\Release\yolo_preprocess.obj "
  I:\AI\FastDeploy-develop\fastdeploy\vision\utils\yolo_preprocess.cu"
  nvcc fatal   : Unsupported gpu architecture 'compute_35'
  nvcc fatal   : Unsupported gpu architecture 'compute_35'

  (FastDeploy) I:\AI\FastDeploy-develop\python\.setuptools-cmake-build>"C:\Program Files\NVIDIA GPU Computing Toolkit\C
  UDA\v12.8\bin\nvcc.exe"  --use-local-env -ccbin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSV
  C\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\AI\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build" -I"I:\AI\FastDeploy-develop\third_party\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12
  .8\include" -I"I:\AI\FastDeploy-develop\third_party\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build\third_libs\install\fast_tokenizer\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\thi
  rd_libs\install\fast_tokenizer\third_party\include" -ID:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Compu
  ting Toolkit\CUDA\v12.8\include"     --keep-dir fastdeploy\x64\Release  -maxrregcount=0    --machine 64 --compile -cu
  dart static -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_
  52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -genco
  de arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -w --expt-relax
  ed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /wd4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DND
  EBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJP
  EG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL
  _FILE__=\"fastdeploy/vision/common/processors/normalize.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CP
  P_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VI
  SION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0
  /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.dir\Release\/fastdeploy/vis
  ion/common/processors/normalize.cu.obj "I:\AI\FastDeploy-develop\fastdeploy\vision\common\processors\normalize.cu"

  (FastDeploy) I:\AI\FastDeploy-develop\python\.setuptools-cmake-build>"C:\Program Files\NVIDIA GPU Computing Toolkit\C
  UDA\v12.8\bin\nvcc.exe"  --use-local-env -ccbin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSV
  C\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\AI\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build" -I"I:\AI\FastDeploy-develop\third_party\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12
  .8\include" -I"I:\AI\FastDeploy-develop\third_party\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build\third_libs\install\fast_tokenizer\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\thi
  rd_libs\install\fast_tokenizer\third_party\include" -ID:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Compu
  ting Toolkit\CUDA\v12.8\include"     --keep-dir fastdeploy\x64\Release  -maxrregcount=0    --machine 64 --compile -cu
  dart static -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_
  52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -genco
  de arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -w --expt-relax
  ed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /wd4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DND
  EBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJP
  EG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL
  _FILE__=\"fastdeploy/vision/common/processors/normalize_and_permute.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEB
  UG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG
   -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcompiler
   "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.dir\Release\/fa
  stdeploy/vision/common/processors/normalize_and_permute.cu.obj "I:\AI\FastDeploy-develop\fastdeploy\vision\common\pro
  cessors\normalize_and_permute.cu"
  nvcc fatal   : Unsupported gpu architecture 'compute_35'
D:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft\VC\v170\BuildCustomizations\CUDA 12.8.targets
(800,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe"  --use-local-env -cc
bin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\A
I\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build" -I"I:\AI\FastDeploy-develop\third_p
arty\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include" -I"I:\AI\FastDeploy-develop\third_part
y\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\includ
e" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\third_party\include" -I
D:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include"     --keep-dir fastdepl
oy\x64\Release  -maxrregcount=0    --machine 64 --compile -cudart static -gencode arch=compute_35,code=sm_35 -gencode a
rch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute
_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm
_80 -gencode arch=compute_86,code=sm_86 -w --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /w
d4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -D
EIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_
INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL_FILE__=\"fastdeploy/vision/utils/yolo_preprocess.cu\"" -D_WINDLL -D_M
BCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline
 -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfast
deploy_EXPORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fas
tdeploy.dir\Release\yolo_preprocess.obj "I:\AI\FastDeploy-develop\fastdeploy\vision\utils\yolo_preprocess.cu"”已退出，返回代码为
 1。 [I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\fastdeploy.vcxproj]
D:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft\VC\v170\BuildCustomizations\CUDA 12.8.targets
(800,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe"  --use-local-env -cc
bin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\A
I\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build" -I"I:\AI\FastDeploy-develop\third_p
arty\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include" -I"I:\AI\FastDeploy-develop\third_part
y\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\includ
e" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\third_party\include" -I
D:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include"     --keep-dir fastdepl
oy\x64\Release  -maxrregcount=0    --machine 64 --compile -cudart static -gencode arch=compute_35,code=sm_35 -gencode a
rch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute
_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm
_80 -gencode arch=compute_86,code=sm_86 -w --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /w
d4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -D
EIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_
INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL_FILE__=\"fastdeploy/function/cuda_cast.cu\"" -D_WINDLL -D_MBCS -DWIN3
2 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GP
U -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXP
ORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.di
r\Release\cuda_cast.obj "I:\AI\FastDeploy-develop\fastdeploy\function\cuda_cast.cu"”已退出，返回代码为 1。 [I:\AI\FastDeploy-deve
lop\python\.setuptools-cmake-build\fastdeploy.vcxproj]
  nvcc fatal   : Unsupported gpu architecture 'compute_35'
D:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft\VC\v170\BuildCustomizations\CUDA 12.8.targets
(800,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe"  --use-local-env -cc
bin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\A
I\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build" -I"I:\AI\FastDeploy-develop\third_p
arty\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include" -I"I:\AI\FastDeploy-develop\third_part
y\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\includ
e" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\third_party\include" -I
D:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include"     --keep-dir fastdepl
oy\x64\Release  -maxrregcount=0    --machine 64 --compile -cudart static -gencode arch=compute_35,code=sm_35 -gencode a
rch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute
_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm
_80 -gencode arch=compute_86,code=sm_86 -w --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /w
d4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -D
EIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_
INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL_FILE__=\"fastdeploy/vision/common/processors/normalize.cu\"" -D_WINDL
L -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=
inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\""
-Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb"
-o fastdeploy.dir\Release\/fastdeploy/vision/common/processors/normalize.cu.obj "I:\AI\FastDeploy-develop\fastdeploy\vi
sion\common\processors\normalize.cu"”已退出，返回代码为 1。 [I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\fastdeploy.v
cxproj]
D:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft\VC\v170\BuildCustomizations\CUDA 12.8.targets
(800,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe"  --use-local-env -cc
bin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\A
I\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build" -I"I:\AI\FastDeploy-develop\third_p
arty\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include" -I"I:\AI\FastDeploy-develop\third_part
y\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\includ
e" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\third_party\include" -I
D:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include"     --keep-dir fastdepl
oy\x64\Release  -maxrregcount=0    --machine 64 --compile -cudart static -gencode arch=compute_35,code=sm_35 -gencode a
rch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute
_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm
_80 -gencode arch=compute_86,code=sm_86 -w --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /w
d4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -D
EIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_
INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL_FILE__=\"fastdeploy/vision/common/processors/normalize_and_permute.cu
\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_ST
RONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\
"Release\"" -Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release
\vc143.pdb" -o fastdeploy.dir\Release\/fastdeploy/vision/common/processors/normalize_and_permute.cu.obj "I:\AI\FastDepl
oy-develop\fastdeploy\vision\common\processors\normalize_and_permute.cu"”已退出，返回代码为 1。 [I:\AI\FastDeploy-develop\python\
.setuptools-cmake-build\fastdeploy.vcxproj]

  (FastDeploy) I:\AI\FastDeploy-develop\python\.setuptools-cmake-build>"C:\Program Files\NVIDIA GPU Computing Toolkit\C
  UDA\v12.8\bin\nvcc.exe"  --use-local-env -ccbin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSV
  C\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\AI\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build" -I"I:\AI\FastDeploy-develop\third_party\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12
  .8\include" -I"I:\AI\FastDeploy-develop\third_party\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-
  cmake-build\third_libs\install\fast_tokenizer\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\thi
  rd_libs\install\fast_tokenizer\third_party\include" -ID:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Compu
  ting Toolkit\CUDA\v12.8\include"     --keep-dir fastdeploy\x64\Release  -maxrregcount=0    --machine 64 --compile -cu
  dart static -gencode arch=compute_35,code=sm_35 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_
  52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -genco
  de arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -w --expt-relax
  ed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /wd4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DND
  EBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJP
  EG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL
  _FILE__=\"fastdeploy/runtime/backends/common/cuda/adaptive_pool2d_kernel.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -
  DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_N
  VJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcom
  piler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Release\vc143.pdb" -o fastdeploy.dir\Releas
  e\adaptive_pool2d_kernel.obj "I:\AI\FastDeploy-develop\fastdeploy\runtime\backends\common\cuda\adaptive_pool2d_kernel
  .cu"
  nvcc fatal   : Unsupported gpu architecture 'compute_35'
D:\Program Files\Microsoft Visual Studio\2022\Community\MSBuild\Microsoft\VC\v170\BuildCustomizations\CUDA 12.8.targets
(800,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\bin\nvcc.exe"  --use-local-env -cc
bin "D:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\HostX64\x64" -x cu   -I"I:\A
I\FastDeploy-develop\." -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build" -I"I:\AI\FastDeploy-develop\third_p
arty\eigen" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include" -I"I:\AI\FastDeploy-develop\third_part
y\yaml-cpp\include" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\includ
e" -I"I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\third_libs\install\fast_tokenizer\third_party\include" -I
D:\AI\opencv\build\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.8\include"     --keep-dir fastdepl
oy\x64\Release  -maxrregcount=0    --machine 64 --compile -cudart static -gencode arch=compute_35,code=sm_35 -gencode a
rch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute
_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm
_80 -gencode arch=compute_86,code=sm_86 -w --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler="/EHsc /wd4244 /w
d4267 /wd4819 /bigobj -Ob2 /wd4251"   -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -D
EIGEN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_
INTDIR=\"Release\"" -Dfastdeploy_EXPORTS -D"__REL_FILE__=\"fastdeploy/runtime/backends/common/cuda/adaptive_pool2d_kern
el.cu\"" -D_WINDLL -D_MBCS -DWIN32 -D_WINDOWS -DNDEBUG -DYAML_CPP_DLL -DFASTDEPLOY_LIB -DCMAKE_BUILD_TYPE=Release -DEIG
EN_STRONG_INLINE=inline -DWITH_GPU -DENABLE_NVJPEG -DENABLE_VISION -DENABLE_TEXT -DBUILD_FASTDEPLOY_PYTHON -D"CMAKE_INT
DIR=\"Release\"" -Dfastdeploy_EXPORTS -Xcompiler "/EHsc /W0 /nologo /O2 /FS   /MD /GR" -Xcompiler "/Fdfastdeploy.dir\Re
lease\vc143.pdb" -o fastdeploy.dir\Release\adaptive_pool2d_kernel.obj "I:\AI\FastDeploy-develop\fastdeploy\runtime\back
ends\common\cuda\adaptive_pool2d_kernel.cu"”已退出，返回代码为 1。 [I:\AI\FastDeploy-develop\python\.setuptools-cmake-build\fastd
eploy.vcxproj]
Traceback (most recent call last):
  File "I:\AI\FastDeploy-develop\python\setup.py", line 445, in <module>
    setuptools.setup(
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\__init__.py", line 117, in setup
    return distutils.core.setup(**attrs)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\core.py", line 186, in setup
    return run_commands(dist)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\core.py", line 202, in run_commands
    dist.run_commands()
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\dist.py", line 983, in run_commands
    self.run_command(cmd)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\dist.py", line 999, in run_command
    super().run_command(command)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\dist.py", line 1002, in run_command
    cmd_obj.run()
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\command\build.py", line 136, in run
    self.run_command(cmd_name)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\cmd.py", line 339, in run_command
    self.distribution.run_command(command)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\dist.py", line 999, in run_command
    super().run_command(command)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\dist.py", line 1002, in run_command
    cmd_obj.run()
  File "I:\AI\FastDeploy-develop\python\setup.py", line 308, in run
    self.run_command('cmake_build')
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\cmd.py", line 339, in run_command
    self.distribution.run_command(command)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\dist.py", line 999, in run_command
    super().run_command(command)
  File "D:\anaconda3\envs\FastDeploy\lib\site-packages\setuptools\_distutils\dist.py", line 1002, in run_command
    cmd_obj.run()
  File "I:\AI\FastDeploy-develop\python\setup.py", line 302, in run
    subprocess.check_call(build_args)
  File "D:\anaconda3\envs\FastDeploy\lib\subprocess.py", line 369, in check_call
    raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['D:\\Program Files\\CMake\\bin\\cmake.exe', '--build', '.', '--config', 'Release', '--', '/maxcpucount:24']' returned non-zero exit status 1.

[ChaoII]

把这里改一改，复制进去问AI。因为你的显卡太猛cuda12.8不支持一些3.5算力的卡了

[askxiaozhang]

#2024 这里有类似的解决方案