C++ Core Checker (Experimental) 下载地址

最新推荐文章于 2024-03-13 14:36:11 发布
原创 最新推荐文章于 2024-03-13 14:36:11 发布 · 470 阅读 · 0 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文介绍Microsoft.ExperimentalCppCoreCheck包14.0.23917.1版本，此包为C++开发者提供了核心检查工具，帮助提升代码质量和安全性。
【C++】使用cppcheck检查C++代码
矢车菊二十七号
03-24 1334
Cppcheck 是 C/C++ 代码的静态分析工具。它提供独特的代码分析来检测错误，并专注于检测未定义的行为和 危险的编码结构，即使它具有非标准语法（在嵌入式项目中很常见）。
Clang 10.0 手写静态分析器Checker
许你一片梁城的博客
05-25 2065
手写静态分析器Checker1.简介2.编写Checker3.配置CMakeLists4.配置Checkers.td5.编译构建6.测试 1.简介 目前网上找到的一些构建Checker的方法都比较古老，随着版本更新一些库文件和依赖文件的变动老方法不太适用，所以整理了一下在10.0版本下构建Checker的方法，10.0之前没没有使用过，后面的版本应该大差不差了。 2.编写Checker 编写自定义的Checker需要在以下目录进行： llvm/tools/clang/lib/StaticAnalyzer/C
[C++模板]Clang3.6版本的Checker
weixin_33744854的博客
01-04 194
Clang3.6版本的Checker一，Clang源码如下：template<typenameCHECK1,typenameCHECK2=check::_VoidCheck, typenameCHECK3=check::_VoidCheck,typenameCHECK4=check::_VoidCheck, type...
Experimental C++ library-开源
07-05
一组通用的实验性 C++ 类。
C++并发编程实战——04.同步操作
qq_39744298的博客
11-02 577
因为锁存器是一个同步对象，所以线程调用cound_down改变计数器的行为是可见的，从而保证对wait的调用和返回在同一个锁存器 上为可见。当线程都抵达栅栏时，会对线程进行阻塞，直到所有线程都达到栅栏处，这时阻塞将会被解除。：在系统中有很多独立的(运行在一个独立的线程上)参与者，这些参与者会互相发送信息，去执行手头上的任务，并且不会共享状态，除非是通过信息直接传入的。方法一：当一个线程等待另一个线程完成时，可以持续的检查共享数据标志(用于做保护工作的互斥量)，直到另一线程完成工作时对这个标识进行重置。
C++ Core Guideline 笔记02
风海流的豪赌
05-24 560
I.1 Make interface explicit 不好的示例-> int round(double d) { return (round_up) ? ceil(d) : d; // don't: "invisible" dependency } 这个例子我主要理解是这样的，函数名是round但是控制逻辑中有在调用时非常可能被忽略的全局变量round_up。我理解round_up应该出现在参数列表里。但是这种设计非常有可能出现在类的成员函数里，设想如下代码片段（非原文） class
内联命名空间深入剖析：C++版本控制中被低估的2大核心优势
![C++命名空间在大规模项目中的应用]...`inline namespace` 是 C++11 引入的重要特性，用于在命名空间层面实现“透明嵌套”。与普通命名空间不同，内联命名空间中的成员在名字查找时被视为其外层
(pytorch_env) PS E:\PyTorch_Build\pytorch> # 1. 将 Windows SDK 的库路径添加到当前的 LIB 环境变量中 (pytorch_env) PS E:\PyTorch_Build\pytorch> # 这个路径是标准路径，通常不会变 (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:LIB = "$env:LIB;C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\x64" (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 2. 验证路径是否添加成功 (pytorch_env) PS E:\PyTorch_Build\pytorch> echo $env:LIB ;C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\x64 (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 3. 重新尝试编译（继续从上次的地方开始） (pytorch_env) PS E:\PyTorch_Build\pytorch> cmake --build build --target install --config Release -j 4 [1/352] Building CXX object caffe2\CMakeFiles\cuda_reportM...r\__\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp.ob FAILED: [code=2] caffe2/CMakeFiles/cuda_reportMemoryUsage_test.dir/__/aten/src/ATen/test/cuda_reportMemoryUsage_test.cpp.obj C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\cl.exe /nologo /TP -DAT_PER_OPERATOR_HEADERS -DCPUINFO_SUPPORTED_PLATFORM=1 -DEXPORT_AOTI_FUNCTIONS -DFMT_HEADER_ONLY=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DNOMINMAX -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DTORCH_CUDA_USE_NVTX3 -DUSE_EXTERNAL_MZCRC -DUSE_MIMALLOC -DWIN32_LEAN_AND_MEAN -DXNN_LOG_LEVEL=0 -D_CRT_SECURE_NO_DEPRECATE=1 -D_UCRT_LEGACY_INFINITY -IE:\PyTorch_Build\pytorch\build\aten\src -IE:\PyTorch_Build\pytorch\aten\src -IE:\PyTorch_Build\pytorch\build -IE:\PyTorch_Build\pytorch -IE:\PyTorch_Build\pytorch\nlohmann -IE:\PyTorch_Build\pytorch\moodycamel -IE:\PyTorch_Build\pytorch\third_party\mimalloc\include -IE:\PyTorch_Build\pytorch\build\caffe2\aten\src -IE:\PyTorch_Build\pytorch\aten\src\ATen\.. -IE:\PyTorch_Build\pytorch\third_party\miniz-3.0.2 -IE:\PyTorch_Build\pytorch\torch\csrc\api -IE:\PyTorch_Build\pytorch\torch\csrc\api\include -IE:\PyTorch_Build\pytorch\c10\.. -IE:\PyTorch_Build\pytorch\third_party\pthreadpool\include -IE:\PyTorch_Build\pytorch\third_party\cpuinfo\include -IE:\PyTorch_Build\pytorch\third_party\ittapi\include -IE:\PyTorch_Build\pytorch\third_party\FP16\include -IE:\PyTorch_Build\pytorch\third_party\fmt\include -IE:\PyTorch_Build\pytorch\build\third_party\ideep\mkl-dnn\include -IE:\PyTorch_Build\pytorch\third_party\ideep\mkl-dnn\src\..\include -IE:\PyTorch_Build\pytorch\third_party\onnx -IE:\PyTorch_Build\pytorch\build\third_party\onnx -IE:\PyTorch_Build\pytorch\third_party\flatbuffers\include -IE:\PyTorch_Build\pytorch\c10\cuda\..\.. -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googlemock\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\protobuf\src -external:IE:\PyTorch_Build\pytorch\third_party\XNNPACK\include -external:IE:\PyTorch_Build\pytorch\torch\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\eigen -external:IE:\PyTorch_Build\pytorch\third_party\ideep\include -external:IE:\PyTorch_Build\pytorch\INTERFACE -external:IE:\PyTorch_Build\pytorch\third_party\nlohmann\include -external:IE:\PyTorch_Build\pytorch\third_party\concurrentqueue -external:I"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include" -external:IE:\PyTorch_Build\pytorch\third_party\NVTX\c\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest -external:W0 /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION /Zc:preprocessor /Zc:preprocessor /O2 /Ob2 /DNDEBUG /bigobj -DNDEBUG -std:c++17 -MD /permissive- /EHsc /bigobj -openmp:experimental /utf-8 /showIncludes /Focaffe2\CMakeFiles\cuda_reportMemoryUsage_test.dir\__\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp.obj /Fdcaffe2\CMakeFiles\cuda_reportMemoryUsage_test.dir\ /FS -c E:\PyTorch_Build\pytorch\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp E:\PyTorch_Build\pytorch\torch/headeronly/macros/Macros.h(3): fatal error C1083: 无法打开包括文件: “cassert”: No such file or directory [2/352] Building CXX object caffe2\CMakeFiles\cuda_allocat...\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp.ob FAILED: [code=2] caffe2/CMakeFiles/cuda_allocatorTraceTracker_test.dir/__/aten/src/ATen/test/cuda_allocatorTraceTracker_test.cpp.obj C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\cl.exe /nologo /TP -DAT_PER_OPERATOR_HEADERS -DCPUINFO_SUPPORTED_PLATFORM=1 -DEXPORT_AOTI_FUNCTIONS -DFMT_HEADER_ONLY=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DNOMINMAX -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DTORCH_CUDA_USE_NVTX3 -DUSE_EXTERNAL_MZCRC -DUSE_MIMALLOC -DWIN32_LEAN_AND_MEAN -DXNN_LOG_LEVEL=0 -D_CRT_SECURE_NO_DEPRECATE=1 -D_UCRT_LEGACY_INFINITY -IE:\PyTorch_Build\pytorch\build\aten\src -IE:\PyTorch_Build\pytorch\aten\src -IE:\PyTorch_Build\pytorch\build -IE:\PyTorch_Build\pytorch -IE:\PyTorch_Build\pytorch\nlohmann -IE:\PyTorch_Build\pytorch\moodycamel -IE:\PyTorch_Build\pytorch\third_party\mimalloc\include -IE:\PyTorch_Build\pytorch\build\caffe2\aten\src -IE:\PyTorch_Build\pytorch\aten\src\ATen\.. -IE:\PyTorch_Build\pytorch\third_party\miniz-3.0.2 -IE:\PyTorch_Build\pytorch\torch\csrc\api -IE:\PyTorch_Build\pytorch\torch\csrc\api\include -IE:\PyTorch_Build\pytorch\c10\.. -IE:\PyTorch_Build\pytorch\third_party\pthreadpool\include -IE:\PyTorch_Build\pytorch\third_party\cpuinfo\include -IE:\PyTorch_Build\pytorch\third_party\ittapi\include -IE:\PyTorch_Build\pytorch\third_party\FP16\include -IE:\PyTorch_Build\pytorch\third_party\fmt\include -IE:\PyTorch_Build\pytorch\build\third_party\ideep\mkl-dnn\include -IE:\PyTorch_Build\pytorch\third_party\ideep\mkl-dnn\src\..\include -IE:\PyTorch_Build\pytorch\third_party\onnx -IE:\PyTorch_Build\pytorch\build\third_party\onnx -IE:\PyTorch_Build\pytorch\third_party\flatbuffers\include -IE:\PyTorch_Build\pytorch\c10\cuda\..\.. -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googlemock\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\protobuf\src -external:IE:\PyTorch_Build\pytorch\third_party\XNNPACK\include -external:IE:\PyTorch_Build\pytorch\torch\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\eigen -external:IE:\PyTorch_Build\pytorch\third_party\ideep\include -external:IE:\PyTorch_Build\pytorch\INTERFACE -external:IE:\PyTorch_Build\pytorch\third_party\nlohmann\include -external:IE:\PyTorch_Build\pytorch\third_party\concurrentqueue -external:I"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include" -external:IE:\PyTorch_Build\pytorch\third_party\NVTX\c\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest -external:W0 /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION /Zc:preprocessor /Zc:preprocessor /O2 /Ob2 /DNDEBUG /bigobj -DNDEBUG -std:c++17 -MD /permissive- /EHsc /bigobj -openmp:experimental /utf-8 /showIncludes /Focaffe2\CMakeFiles\cuda_allocatorTraceTracker_test.dir\__\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp.obj /Fdcaffe2\CMakeFiles\cuda_allocatorTraceTracker_test.dir\ /FS -c E:\PyTorch_Build\pytorch\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp E:\PyTorch_Build\pytorch\c10/core/Allocator.h(3): fatal error C1083: 无法打开包括文件: “array”: No such file or directory [4/352] Linking CXX shared library bin\shm.dll FAILED: [code=4294967295] bin/shm.dll lib/shm.lib C:\WINDOWS\system32\cmd.exe /C "cd . && E:\PyTorch_Build\pytorch\pytorch_env\Lib\site-packages\cmake\data\bin\cmake.exe -E vs_link_dll --msvc-ver=1944 --intdir=caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir --rc=C:\PROGRA~2\WI3CF2~1\10\bin\100261~1.0\x64\rc.exe --mt=C:\PROGRA~2\WI3CF2~1\10\bin\100261~1.0\x64\mt.exe --manifests -- C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\link.exe /nologo caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir\core.cpp.obj /out:bin\shm.dll /implib:lib\shm.lib /pdb:bin\shm.pdb /dll /version:0.0 /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 /INCREMENTAL:NO -LIBPATH:"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64" lib\torch.lib lib\c10.lib /WHOLEARCHIVE:lib\torch_cuda.lib /WHOLEARCHIVE:lib\torch_cpu.lib lib\XNNPACK.lib lib\microkernels-prod.lib lib\pthreadpool.lib lib\libittnotify.lib "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\lib\x64\libomp.lib" lib\kineto.lib "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\extras\CUPTI\lib64\cupti.lib" lib\dnnl.lib sleef\lib\sleef.lib /WHOLEARCHIVE:lib\onnx.lib lib\onnx_proto.lib lib\libprotobuf.lib /WHOLEARCHIVE:lib\Caffe2_perfkernels_avx2.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ lib\c10_cuda.lib lib\c10.lib lib\cpuinfo.lib lib\mimalloc.lib psapi.lib shell32.lib user32.lib advapi32.lib bcrypt.lib "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\curand.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart_static.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cufft.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusolver.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusparse.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublas.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublasLt.lib" cudadevrt.lib cudart.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib && cd ." LINK: command "C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\link.exe /nologo caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir\core.cpp.obj /out:bin\shm.dll /implib:lib\shm.lib /pdb:bin\shm.pdb /dll /version:0.0 /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 /INCREMENTAL:NO -LIBPATH:E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64 lib\torch.lib lib\c10.lib /WHOLEARCHIVE:lib\torch_cuda.lib /WHOLEARCHIVE:lib\torch_cpu.lib lib\XNNPACK.lib lib\microkernels-prod.lib lib\pthreadpool.lib lib\libittnotify.lib C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\lib\x64\libomp.lib lib\kineto.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\extras\CUPTI\lib64\cupti.lib lib\dnnl.lib sleef\lib\sleef.lib /WHOLEARCHIVE:lib\onnx.lib lib\onnx_proto.lib lib\libprotobuf.lib /WHOLEARCHIVE:lib\Caffe2_perfkernels_avx2.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ lib\c10_cuda.lib lib\c10.lib lib\cpuinfo.lib lib\mimalloc.lib psapi.lib shell32.lib user32.lib advapi32.lib bcrypt.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\curand.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart_static.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cufft.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusolver.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusparse.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublas.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublasLt.lib cudadevrt.lib cudart.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST:EMBED,ID=2" failed (exit code 1104) with the following output: onnx.lib(helper.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(convert.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(implementation.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(inliner.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(tensor_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(tensor_proto_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(shape_inference.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(schema.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(printer.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(parser.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(function.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(data_type_utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(attr_proto_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(status.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(path.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(model_helpers.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(ir_pb_converter.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(interned_strings.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(assertions.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(checker.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx_proto.lib(onnx_onnx_torch-ml.pb.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx_proto.lib(onnx-data_onnx_torch.pb.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) LINK : fatal error LNK1104: 无法打开文件“msvcprt.lib” ninja: build stopped: subcommand failed. (pytorch_env) PS E:\PyTorch_Build\pytorch> # 搜索 psapi.lib 文件 (pytorch_env) PS E:\PyTorch_Build\pytorch> dir "C:\Program Files (x86)\Windows Kits\10\Lib\" -Recurse -Filter psapi.lib | Format-List FullName FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.19041.0\um\arm\Psapi.Lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.19041.0\um\arm64\Psapi.Lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.19041.0\um\x64\Psapi.Lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.19041.0\um\x86\Psapi.Lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\arm\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\arm64\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\x64\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.22621.0\um\x86\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\arm64\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\x64\psapi.lib FullName : C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\x86\psapi.lib (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:LIB = "$env:LIB;C:\Program Files (x86)\Windows Kits\10\Lib\10.0.19041.0\um\arm\Psapi.Lib" (pytorch_env) PS E:\PyTorch_Build\pytorch> cmake --build build --target install --config Release -j 4 [1/352] Building CXX object caffe2\CMakeFiles\cuda_allocat...\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp.ob FAILED: [code=2] caffe2/CMakeFiles/cuda_allocatorTraceTracker_test.dir/__/aten/src/ATen/test/cuda_allocatorTraceTracker_test.cpp.obj C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\cl.exe /nologo /TP -DAT_PER_OPERATOR_HEADERS -DCPUINFO_SUPPORTED_PLATFORM=1 -DEXPORT_AOTI_FUNCTIONS -DFMT_HEADER_ONLY=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DNOMINMAX -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DTORCH_CUDA_USE_NVTX3 -DUSE_EXTERNAL_MZCRC -DUSE_MIMALLOC -DWIN32_LEAN_AND_MEAN -DXNN_LOG_LEVEL=0 -D_CRT_SECURE_NO_DEPRECATE=1 -D_UCRT_LEGACY_INFINITY -IE:\PyTorch_Build\pytorch\build\aten\src -IE:\PyTorch_Build\pytorch\aten\src -IE:\PyTorch_Build\pytorch\build -IE:\PyTorch_Build\pytorch -IE:\PyTorch_Build\pytorch\nlohmann -IE:\PyTorch_Build\pytorch\moodycamel -IE:\PyTorch_Build\pytorch\third_party\mimalloc\include -IE:\PyTorch_Build\pytorch\build\caffe2\aten\src -IE:\PyTorch_Build\pytorch\aten\src\ATen\.. -IE:\PyTorch_Build\pytorch\third_party\miniz-3.0.2 -IE:\PyTorch_Build\pytorch\torch\csrc\api -IE:\PyTorch_Build\pytorch\torch\csrc\api\include -IE:\PyTorch_Build\pytorch\c10\.. -IE:\PyTorch_Build\pytorch\third_party\pthreadpool\include -IE:\PyTorch_Build\pytorch\third_party\cpuinfo\include -IE:\PyTorch_Build\pytorch\third_party\ittapi\include -IE:\PyTorch_Build\pytorch\third_party\FP16\include -IE:\PyTorch_Build\pytorch\third_party\fmt\include -IE:\PyTorch_Build\pytorch\build\third_party\ideep\mkl-dnn\include -IE:\PyTorch_Build\pytorch\third_party\ideep\mkl-dnn\src\..\include -IE:\PyTorch_Build\pytorch\third_party\onnx -IE:\PyTorch_Build\pytorch\build\third_party\onnx -IE:\PyTorch_Build\pytorch\third_party\flatbuffers\include -IE:\PyTorch_Build\pytorch\c10\cuda\..\.. -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googlemock\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\protobuf\src -external:IE:\PyTorch_Build\pytorch\third_party\XNNPACK\include -external:IE:\PyTorch_Build\pytorch\torch\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\eigen -external:IE:\PyTorch_Build\pytorch\third_party\ideep\include -external:IE:\PyTorch_Build\pytorch\INTERFACE -external:IE:\PyTorch_Build\pytorch\third_party\nlohmann\include -external:IE:\PyTorch_Build\pytorch\third_party\concurrentqueue -external:I"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include" -external:IE:\PyTorch_Build\pytorch\third_party\NVTX\c\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest -external:W0 /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION /Zc:preprocessor /Zc:preprocessor /O2 /Ob2 /DNDEBUG /bigobj -DNDEBUG -std:c++17 -MD /permissive- /EHsc /bigobj -openmp:experimental /utf-8 /showIncludes /Focaffe2\CMakeFiles\cuda_allocatorTraceTracker_test.dir\__\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp.obj /Fdcaffe2\CMakeFiles\cuda_allocatorTraceTracker_test.dir\ /FS -c E:\PyTorch_Build\pytorch\aten\src\ATen\test\cuda_allocatorTraceTracker_test.cpp E:\PyTorch_Build\pytorch\c10/core/Allocator.h(3): fatal error C1083: 无法打开包括文件: “array”: No such file or directory [2/352] Building CXX object caffe2\CMakeFiles\cuda_reportM...r\__\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp.ob FAILED: [code=2] caffe2/CMakeFiles/cuda_reportMemoryUsage_test.dir/__/aten/src/ATen/test/cuda_reportMemoryUsage_test.cpp.obj C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\cl.exe /nologo /TP -DAT_PER_OPERATOR_HEADERS -DCPUINFO_SUPPORTED_PLATFORM=1 -DEXPORT_AOTI_FUNCTIONS -DFMT_HEADER_ONLY=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DNOMINMAX -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx_torch -DTORCH_CUDA_USE_NVTX3 -DUSE_EXTERNAL_MZCRC -DUSE_MIMALLOC -DWIN32_LEAN_AND_MEAN -DXNN_LOG_LEVEL=0 -D_CRT_SECURE_NO_DEPRECATE=1 -D_UCRT_LEGACY_INFINITY -IE:\PyTorch_Build\pytorch\build\aten\src -IE:\PyTorch_Build\pytorch\aten\src -IE:\PyTorch_Build\pytorch\build -IE:\PyTorch_Build\pytorch -IE:\PyTorch_Build\pytorch\nlohmann -IE:\PyTorch_Build\pytorch\moodycamel -IE:\PyTorch_Build\pytorch\third_party\mimalloc\include -IE:\PyTorch_Build\pytorch\build\caffe2\aten\src -IE:\PyTorch_Build\pytorch\aten\src\ATen\.. -IE:\PyTorch_Build\pytorch\third_party\miniz-3.0.2 -IE:\PyTorch_Build\pytorch\torch\csrc\api -IE:\PyTorch_Build\pytorch\torch\csrc\api\include -IE:\PyTorch_Build\pytorch\c10\.. -IE:\PyTorch_Build\pytorch\third_party\pthreadpool\include -IE:\PyTorch_Build\pytorch\third_party\cpuinfo\include -IE:\PyTorch_Build\pytorch\third_party\ittapi\include -IE:\PyTorch_Build\pytorch\third_party\FP16\include -IE:\PyTorch_Build\pytorch\third_party\fmt\include -IE:\PyTorch_Build\pytorch\build\third_party\ideep\mkl-dnn\include -IE:\PyTorch_Build\pytorch\third_party\ideep\mkl-dnn\src\..\include -IE:\PyTorch_Build\pytorch\third_party\onnx -IE:\PyTorch_Build\pytorch\build\third_party\onnx -IE:\PyTorch_Build\pytorch\third_party\flatbuffers\include -IE:\PyTorch_Build\pytorch\c10\cuda\..\.. -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googlemock\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\protobuf\src -external:IE:\PyTorch_Build\pytorch\third_party\XNNPACK\include -external:IE:\PyTorch_Build\pytorch\torch\include -external:IE:\PyTorch_Build\pytorch\cmake\..\third_party\eigen -external:IE:\PyTorch_Build\pytorch\third_party\ideep\include -external:IE:\PyTorch_Build\pytorch\INTERFACE -external:IE:\PyTorch_Build\pytorch\third_party\nlohmann\include -external:IE:\PyTorch_Build\pytorch\third_party\concurrentqueue -external:I"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\include" -external:IE:\PyTorch_Build\pytorch\third_party\NVTX\c\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest\include -external:IE:\PyTorch_Build\pytorch\third_party\googletest\googletest -external:W0 /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION /Zc:preprocessor /Zc:preprocessor /O2 /Ob2 /DNDEBUG /bigobj -DNDEBUG -std:c++17 -MD /permissive- /EHsc /bigobj -openmp:experimental /utf-8 /showIncludes /Focaffe2\CMakeFiles\cuda_reportMemoryUsage_test.dir\__\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp.obj /Fdcaffe2\CMakeFiles\cuda_reportMemoryUsage_test.dir\ /FS -c E:\PyTorch_Build\pytorch\aten\src\ATen\test\cuda_reportMemoryUsage_test.cpp E:\PyTorch_Build\pytorch\torch/headeronly/macros/Macros.h(3): fatal error C1083: 无法打开包括文件: “cassert”: No such file or directory [4/352] Linking CXX shared library bin\shm.dll FAILED: [code=4294967295] bin/shm.dll lib/shm.lib C:\WINDOWS\system32\cmd.exe /C "cd . && E:\PyTorch_Build\pytorch\pytorch_env\Lib\site-packages\cmake\data\bin\cmake.exe -E vs_link_dll --msvc-ver=1944 --intdir=caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir --rc=C:\PROGRA~2\WI3CF2~1\10\bin\100261~1.0\x64\rc.exe --mt=C:\PROGRA~2\WI3CF2~1\10\bin\100261~1.0\x64\mt.exe --manifests -- C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\link.exe /nologo caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir\core.cpp.obj /out:bin\shm.dll /implib:lib\shm.lib /pdb:bin\shm.pdb /dll /version:0.0 /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 /INCREMENTAL:NO -LIBPATH:"E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64" lib\torch.lib lib\c10.lib /WHOLEARCHIVE:lib\torch_cuda.lib /WHOLEARCHIVE:lib\torch_cpu.lib lib\XNNPACK.lib lib\microkernels-prod.lib lib\pthreadpool.lib lib\libittnotify.lib "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\lib\x64\libomp.lib" lib\kineto.lib "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\extras\CUPTI\lib64\cupti.lib" lib\dnnl.lib sleef\lib\sleef.lib /WHOLEARCHIVE:lib\onnx.lib lib\onnx_proto.lib lib\libprotobuf.lib /WHOLEARCHIVE:lib\Caffe2_perfkernels_avx2.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ lib\c10_cuda.lib lib\c10.lib lib\cpuinfo.lib lib\mimalloc.lib psapi.lib shell32.lib user32.lib advapi32.lib bcrypt.lib "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\curand.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart_static.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cufft.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusolver.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusparse.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublas.lib" "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublasLt.lib" cudadevrt.lib cudart.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib && cd ." LINK: command "C:\PROGRA~1\MICROS~3\2022\COMMUN~1\VC\Tools\MSVC\1444~1.352\bin\Hostx64\x64\link.exe /nologo caffe2\torch\lib\libshm_windows\CMakeFiles\shm.dir\core.cpp.obj /out:bin\shm.dll /implib:lib\shm.lib /pdb:bin\shm.pdb /dll /version:0.0 /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 /INCREMENTAL:NO -LIBPATH:E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64 lib\torch.lib lib\c10.lib /WHOLEARCHIVE:lib\torch_cuda.lib /WHOLEARCHIVE:lib\torch_cpu.lib lib\XNNPACK.lib lib\microkernels-prod.lib lib\pthreadpool.lib lib\libittnotify.lib C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.44.35207\lib\x64\libomp.lib lib\kineto.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\extras\CUPTI\lib64\cupti.lib lib\dnnl.lib sleef\lib\sleef.lib /WHOLEARCHIVE:lib\onnx.lib lib\onnx_proto.lib lib\libprotobuf.lib /WHOLEARCHIVE:lib\Caffe2_perfkernels_avx2.lib -INCLUDE:?warp_size@cuda@at@@YAHXZ lib\c10_cuda.lib lib\c10.lib lib\cpuinfo.lib lib\mimalloc.lib psapi.lib shell32.lib user32.lib advapi32.lib bcrypt.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\curand.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cudart_static.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cufft.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusolver.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cusparse.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublas.lib E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\lib\x64\cublasLt.lib cudadevrt.lib cudart.lib kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST:EMBED,ID=2" failed (exit code 1104) with the following output: onnx.lib(helper.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(convert.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(implementation.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(inliner.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(tensor_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(tensor_proto_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(shape_inference.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(schema.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(printer.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(parser.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(function.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(data_type_utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(utils.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(old.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(defs.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(attr_proto_util.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(status.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(path.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(model_helpers.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(ir_pb_converter.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(interned_strings.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(assertions.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx.lib(checker.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx_proto.lib(onnx_onnx_torch-ml.pb.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) onnx_proto.lib(onnx-data_onnx_torch.pb.cc.obj) : error LNK2038: 检测到“RuntimeLibrary”的不匹配项: 值“MT_StaticRelease”不匹配值“MD_DynamicRelease”(core.cpp.obj 中) LINK : fatal error LNK1104: 无法打开文件“msvcprt.lib” ninja: build stopped: subcommand failed. (pytorch_env) PS E:\PyTorch_Build\pytorch>
最新发布
09-01
- 这些头文件（如 `cassert`, `array`）是C++标准库的一部分。出现这个问题可能是因为编译器无法找到标准库的头文件路径。这通常与Windows SDK或VC++工具链的安装或配置有关。 - 在Windows上，使用Visual Studio...
已经交叉编译好的arm64版本的qt5.12.1以及qtmqtt的完整产物
04-04
Qt Core: DoubleConversion ....................... yes Using system DoubleConversion ........ no GLib ................................... no iconv .................................. yes ICU .........
superpoint在onnx部署
08-05
#include <onnxruntime/core/session/experimental_onnxruntime_cxx_api.h> int main() { Ort::Env env(ORT_LOGGING_LEVEL_WARNING, "test"); Ort::SessionOptions session_options; Ort::Experimental::Session...
静态分析即刻集成：将cppcheck与clang-tidy无缝嵌入VSCode构建流程（代码健壮性保障）
项目上线前夜，CI 流水线突然报出一堆 clang-tidy 警告，其中一条 `clang-analyzer-core.NullDereference` 直接指向了某个从未被测试覆盖到的分支路径。更糟的是，它已经被合并进主干一周了 。 这并不是个例。随着 ...
experimental:各种代码实验的存储库
05-06
实验性的 各种代码实验的存储库。
cppchecker简单介绍和原理初窥
余璜的技术博客
10-16 4715
1. 概述： c/c++代码静态分析工具，用于检查编译器难以觉察的bug，其设计目标是没有漏报 2. 准确率： 不能包治百病，但配合testing、instrumenting，可以极大减少bug 3. 检查内容： 64位兼容性自动变量生存周期检查数组越界检查类检查，包括缺少构造函数，变量在构造函数中是否初始化及其初始化顺序，基类析构函数是否为虚函数等异常安全检查I
[Django 0-1] Core.Checks 模块
Stephen Ling
03-13 687
Django 通过加入checks包，来执行一系列运行时检查，确保错误能在启动加载时期及时发现，避免扩大影响，同时制定了此类错误的表现方式和级别定义方式。 对于日常项目值得借鉴
汽车电子笔记之：英飞凌芯片锁步核简析
梦想技术家
02-20 4183
首先什么是Lockstep，直译过来就是“步调一致”，Lockstep由本来是由军事语境引入，用来表示齐步行军，队伍中的所有人都执行一致的动作步伐，而后引入计算机领域，应该是用于计算机容错系统，即“使用相同的、冗余的硬件组件在同一时间内处理相同的指令，从而保持多个CPU或内存精确的同步”。
汽车功能安全之LockStep Core原理与实践
king110108的专栏
01-25 3335
本文讲述功能安全中的锁步原理，以及相应的寄存器的设置
S32K 文档记录
yxl0122的博客
01-28 1651
ARM Cortex-m7
商用DCLS双核锁步lockstep技术总结
热门推荐
heyuming20062007的博客
03-28 1万+
目前市场上能够通过IOS26262等车规标准的双核锁步DCLS芯片主要有TI的Hercules系列、英飞凌AURIX系列和NXP S32系列等。 一、TI Hercules系列 Hercules是TI公司以ARM Cortex核心构建的安全关键CPU，包括三个系列：RM4，TMS570和TMS470M，内部由锁步双核CPU组成，最高可满足ISO26262 ASIL-D和IEC61508 SIL3功能安全标准的要求，并符合AEC-Q100车规级要求，双核锁步CPU架构、硬件BIST、MPU、ECC、片上时
关于filesystem在c++11、14、17中的使用问题
shellching的专栏
02-25 1万+
1在C++11时，该类库定义在std::tr2::sys命名空间 #include<filesystem> using namespace std; using namespace std::tr2::sys; //示例 void RemoveFile() { directory_iterator end, ite("aaa\\"); for (; ite != end; ++ite) { auto& thePath = ite-&gt.
如何下载并使用DevPartner for Visual C++ BoundsChecker Suite 9
标题提到的是“下载 DevPartner for Visual C++ BoundsChecker Suite 9”，这是指一款由Compuware公司开发的专用于Visual C++的软件开发工具。DevPartner是一个集成开发环境（IDE）扩展工具，主要用于检测和诊断...
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值