Vs2017无法打开文件"msvcprt.lib"

最新推荐文章于 2025-07-18 17:17:19 发布
原创 最新推荐文章于 2025-07-18 17:17:19 发布 · 8.1k 阅读 · 1 ·
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在我同时装了VS2017和2015以后VS2017出现这个错误

通过查找资料后找到了这个方法，亲测有用，下面的图是转载的，意会这个意思

项目、属性、链接器、常规、附加库目录：填写附加依赖库所在目录 分号间隔多项
项目、属性、链接器、输入、附加依赖项：填写附加依赖库的名字.lib 空格或分号间隔多项

 

 

 

转载：https://bbs.youkuaiyun.com/topics/390905918

 

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(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
2. 链接时出现运行时库不匹配的错误（MT_StaticRelease 与 MD_DynamicRelease）以及无法打开文件 `msvcprt.lib` 的问题。 ### 问题分析 #### 1. 头文件找不到 - 这些头文件（如 `cassert`, `array`）是C++标准库...
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解决方法： #pragma comment(lib, “…/vx/debug.lib”)
VS2019报错 错误 LNK1104 : 无法打开文件“msvcprtd.lib”
拥抱技术
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vs报错 1104
无法打开文件“msvcprtd.lib”
almosti的博客
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这两天下载了windows核心编程的源码，结果第一个项目就报错了…**无法打开文件“msvcprtd.lib”**网上说法挺多的，总结下来有这两种方法： 1.安装Qspectre相关库 用vs安装包修改组件，添加上如下几个组件即可自动安装上msvcprtd.lib 2.禁用spectre缓解 项目属性页 -> C\C++ -> 代码生成 -> Spectre缓解 禁用掉即可 ...
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weixin_30896763的博客
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　　采用VS2017+Qt5.10联合开发环境建立开发，将Qt的库包含到VS中使用VS2017的Debug+x64模式调试程序，通过并出现对应的EXE应用程序！ 但是转换到Release+x64模式出现问题： LNK1104 无法打开文件"msvcprt.lib" MSB8038 已启用Spectre缓解，但找不到Spectre缓解库。验证Visual Studio工作负荷Spectre缓解...
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moshanghuakai_pang的博客
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今天在跑OPNET的仿真程序时突然出现：LINK : fatal error LNK1104: 无法打开文件“msvcrt.lib”，总结下解决方案：在VC的安装路径中找到msvcrt.lib，一般在C:\Program Files (x86)\Microsoft Visual Studio 11.0\VC\lib或者C:\Program Files \Microsoft Visual Studi...
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https://www.freesion.com/article/4954536554/
Win7+opencv3.30+vs2015提示无法打开XXX.lib
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鉴于VS版本和OpenCV的版本都有很多，但是不管哪个版本一定要明确你所需要的东西，这里关于CMAKE下编译就不多说，附上另外一个博主的链接作为实例，http://blog.csdn.net/moxiaonuo/article/details/77823990（已亲测没有问题）；前面下载了好几个VS和OpenCV的版本做测试，很奇怪的是一直存在无法打开opencv_XXX.lib文件，关键是我的配...
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weixin_55088083的博客
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无法打开文件XXX.lib
探索C++运行时库：LIBCP.LIB、LIBCPMT.LIB和MSVCPRT.LIB
描述中提到了新的iostream函数以及许多其他新函数存在于标准C++库中，并特别提及了LIBCP.LIB、LIBCPMT.LIB和MSVCPRT.LIB这几个库文件。这里的iostream是C++标准库中的一部分，它提供了对输入和输出操作的封装和扩展...
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