Under windows cmake install libTorch-cpu to run error problem - cmake

Question

Why did I report an error as soon as I introduced libTorch, I tried it many times, please help me to see what's going on. Thank you
I tried debug version and Release version based on CPU, this error always exists;
My CmakeLists.txt：
cmake_minimum_required(VERSION 3.19)
project(Demo3)
set(CMAKE_CXX_STANDARD 14)
set(CMAKE_PREFIX_PATH "K:/Qt/Qt5.12.10/5.12.10/msvc2017_64")
set(CMAKE_AUTOMOC ON)
set(CMAKE_AUTORCC ON)
set(CMAKE_AUTOUIC ON)
set(QT_VERSION 5)
set(REQUIRED_LIBS Core Gui Widgets)
set(REQUIRED_LIBS_QUALIFIED Qt5::Core Qt5::Gui Qt5::Widgets)
############ add libTorch ####################
set(Torch_DIR K:\\pytorchModel\\libtorch\\share\\cmake\\Torch)
find_package(Torch REQUIRED)
include_directories(K:\\pytorchModel\\libtorch\\include K:\\pytorchModel\\libtorch\\include\\torch\\csrc\\api\\include\\torch)
add_executable(${PROJECT_NAME} main.cpp)
target_link_libraries(Demo3 "${TORCH_LIBRARIES}")
if (NOT CMAKE_PREFIX_PATH)
message(WARNING "CMAKE_PREFIX_PATH is not defined, you may need to set it "
"(-DCMAKE_PREFIX_PATH=\"path/to/Qt/lib/cmake\" or -DCMAKE_PREFIX_PATH=/usr/include/{host}/qt{version}/ on Ubuntu)")
endif ()
find_package(Qt${QT_VERSION} COMPONENTS ${REQUIRED_LIBS} REQUIRED)
target_link_libraries(${PROJECT_NAME} ${REQUIRED_LIBS_QUALIFIED})
if (WIN32)
set(DEBUG_SUFFIX)
if (CMAKE_BUILD_TYPE MATCHES "Debug")
set(DEBUG_SUFFIX "d")
endif ()
set(QT_INSTALL_PATH "${CMAKE_PREFIX_PATH}")
if (NOT EXISTS "${QT_INSTALL_PATH}/bin")
set(QT_INSTALL_PATH "${QT_INSTALL_PATH}/..")
if (NOT EXISTS "${QT_INSTALL_PATH}/bin")
set(QT_INSTALL_PATH "${QT_INSTALL_PATH}/..")
endif ()
endif ()
if (EXISTS "${QT_INSTALL_PATH}/plugins/platforms/qwindows${DEBUG_SUFFIX}.dll")
add_custom_command(TARGET ${PROJECT_NAME} POST_BUILD
COMMAND ${CMAKE_COMMAND} -E make_directory
"$<TARGET_FILE_DIR:${PROJECT_NAME}>/plugins/platforms/")
add_custom_command(TARGET ${PROJECT_NAME} POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy
"${QT_INSTALL_PATH}/plugins/platforms/qwindows${DEBUG_SUFFIX}.dll"
"$<TARGET_FILE_DIR:${PROJECT_NAME}>/plugins/platforms/")
endif ()
foreach (QT_LIB ${REQUIRED_LIBS})
add_custom_command(TARGET ${PROJECT_NAME} POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy
"${QT_INSTALL_PATH}/bin/Qt${QT_VERSION}${QT_LIB}${DEBUG_SUFFIX}.dll"
"$<TARGET_FILE_DIR:${PROJECT_NAME}>")
endforeach (QT_LIB)
endif ()
The error after I run:
main.cpp
K:\pytorchModel\libtorch\include\c10/macros/Macros.h(189): warning C4067: 预处理器指令后有意外标记 - 应输入换行符
K:\pytorchModel\libtorch\include\c10/util/Optional.h(181): warning C4624: “c10::constexpr_storage_t<T>”: 已将析构函数隐式定义为“已删除”
with
[
T=at::Tensor
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(361): note: 查看对正在编译的 类 模板 实例化“c10::constexpr_storage_t<T>”的引用
with
[
T=at::Tensor
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(418): note: 查看对正在编译的 类 模板 实例化“c10::trivially_copyable_optimization_optional_base<T>”的引用
with
[
T=std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(361): note: 查看对正在编译的 类 模板 实例化“c10::constexpr_storage_t<T>”的引用
with
[
T=std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(418): note: 查看对正在编译的 类 模板 实例化“c10::trivially_copyable_optimization_optional_base<T>”的引用
with
[
T=std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(418): note: 查看对正在编译的 别名 模板 实例化“c10::OptionalBase<std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>>”的引用
K:\pytorchModel\libtorch\include\torch/csrc/autograd/profiler_legacy.h(562): note: 查看对正在编译的 类 模板 实例化“c10::optional<std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>>”的引用
K:\pytorchModel\libtorch\include\c10/util/Optional.h(387): warning C4624: “c10::trivially_copyable_optimization_optional_base<T>”: 已将析构函数隐式定义为“已删除”
with
[
T=std::vector<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>,std::allocator<std::vector<torch::autograd::profiler::LegacyEvent,std::allocator<torch::autograd::profiler::LegacyEvent>>>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(181): warning C4624: “c10::constexpr_storage_t<T>”: 已将析构函数隐式定义为“已删除”
with
[
T=std::vector<at::Tensor,std::allocator<at::Tensor>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(361): note: 查看对正在编译的 类 模板 实例化“c10::constexpr_storage_t<T>”的引用
with
[
T=std::vector<at::Tensor,std::allocator<at::Tensor>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(418): note: 查看对正在编译的 类 模板 实例化“c10::trivially_copyable_optimization_optional_base<T>”的引用
with
[
T=std::vector<at::Tensor,std::allocator<at::Tensor>>
]
K:\pytorchModel\libtorch\include\c10/util/Optional.h(418): note: 查看对正在编译的 别名 模板 实例化“c10::OptionalBase<std::vector<at::Tensor,std::allocator<at::Tensor>>>”的引用
K:\pytorchModel\libtorch\include\torch\csrc\api\include\torch/optim/lbfgs.h(44): note: 查看对正在编译的 类 模板 实例化“c10::optional<std::vector<at::Tensor,std::allocator<at::Tensor>>>”的引用
K:\pytorchModel\libtorch\include\c10/util/Optional.h(387): warning C4624: “c10::trivially_copyable_optimization_optional_base<T>”: 已将析构函数隐式定义为“已删除”
with
[
T=std::vector<at::Tensor,std::allocator<at::Tensor>>
]
NMAKE : fatal error U1077: “"D:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Tools\MSVC\14.28.29910\bin\Hostx64\x64\cl.exe"”: 返回代码“0x2”
Stop.
NMAKE : fatal error U1077: “"D:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Tools\MSVC\14.28.29910\bin\HostX64\x64\nmake.exe"”: 返回代码“0x2”
Stop.
NMAKE : fatal error U1077: “"D:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Tools\MSVC\14.28.29910\bin\HostX64\x64\nmake.exe"”: 返回代码“0x2”
Stop.
NMAKE : fatal error U1077: “"D:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\VC\Tools\MSVC\14.28.29910\bin\HostX64\x64\nmake.exe"”: 返回代码“0x2”
Stop.
why is that? Is there a problem with my CmakeLists.txt configuration?