qq_38400187 2022-03-23 17:33 采纳率: 0%
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cuda 编译报错 3721

1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
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1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\deconvolutional_kernels.cu.obj "E:\workplace\darknet\src\deconvolutional_kernels.cu"
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\dropout_layer_kernels.cu.obj "E:\workplace\darknet\src\dropout_layer_kernels.cu"
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\crop_layer_kernels.cu.obj "E:\workplace\darknet\src\crop_layer_kernels.cu"”已退出，返回代码为 1。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\blas_kernels.cu.obj "E:\workplace\darknet\src\blas_kernels.cu"”已退出，返回代码为 1。
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\im2col_kernels.cu.obj "E:\workplace\darknet\src\im2col_kernels.cu"
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\col2im_kernels.cu.obj "E:\workplace\darknet\src\col2im_kernels.cu"
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\network_kernels.cu.obj "E:\workplace\darknet\src\network_kernels.cu"
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\maxpool_layer_kernels.cu.obj "E:\workplace\darknet\src\maxpool_layer_kernels.cu"
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\convolutional_kernels.cu.obj "E:\workplace\darknet\src\convolutional_kernels.cu"
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\deconvolutional_kernels.cu.obj "E:\workplace\darknet\src\deconvolutional_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\dropout_layer_kernels.cu.obj "E:\workplace\darknet\src\dropout_layer_kernels.cu"”已退出，返回代码为 1。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\col2im_kernels.cu.obj "E:\workplace\darknet\src\col2im_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\im2col_kernels.cu.obj "E:\workplace\darknet\src\im2col_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\network_kernels.cu.obj "E:\workplace\darknet\src\network_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\maxpool_layer_kernels.cu.obj "E:\workplace\darknet\src\maxpool_layer_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\convolutional_kernels.cu.obj "E:\workplace\darknet\src\convolutional_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。
1>
1>E:\workplace\darknet\build\darknet>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\avgpool_layer_kernels.cu.obj "E:\workplace\darknet\src\avgpool_layer_kernels.cu"
1>nvcc fatal : Unsupported gpu architecture 'compute_86'
1>E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\BuildCustomizations\CUDA 10.2.targets(764,9): error MSB3721: 命令“"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin\nvcc.exe" -gencode=arch=compute_35,code="sm_35,compute_35" -gencode=arch=compute_86,code="sm_86,compute_86" --use-local-env -ccbin "E:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64" -x cu -I\include -IC:\opencv_3.0\opencv\build\include -I....\include -I....\3rdparty\stb\include -I....\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\include" --keep-dir x64\Release -maxrregcount=0 --machine 64 --compile -cudart static -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc142.pdb /FS /Zi /MD " -o x64\Release\avgpool_layer_kernels.cu.obj "E:\workplace\darknet\src\avgpool_layer_kernels.cu"”已退出，返回代码为 1。
1>已完成生成项目“darknet.vcxproj”的操作 - 失败。

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1条回答 默认 最新

  • 爱晚乏客游 2022-03-24 10:27
    关注

    你这是什么显卡，算力选择错误吧，86一般是30系显卡的算力，30系显卡最少cuda要11.0吧

    img

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