Darknet: windows 10 build to yolo_cpp_dll error from RTX3090

[stevenlee600]

build to yolo_cpp_dll and got error message from RTX3090 the error as below:

Error MSB3721   command  ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\bin\nvcc.exe" 
-gencode=arch=compute_30,code=\"sm_30,compute_30\" 
-gencode=arch=compute_86,code=\"sm_86,compute_86\" --use-local-env 
-ccbin "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\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\v11.1\include" 
-I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include" 
-I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\bin\include" 
-I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.0\bin\include" 
-I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.1\include"     
--keep-dir x64\Release -maxrregcount=0  --machine 64 --compile 
-cudart static -DCUDNN_HALF -DCUDNN -DGPU -DLIB_EXPORTS -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS 
-D_CRT_SECURE_NO_WARNINGS -DWIN32 -DNDEBUG -D_CONSOLE -D_LIB -D_WINDLL -D_MBCS 
-Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\DLL_Release\vc141.pdb /FS   /MD " 
-o x64\DLL_Release\network_kernels.cu.obj "D:\Storage\AIMS\mybook\YOLO\Yolov4\src\network_kernels.cu""  End, code is 1. yolo_cpp_dll    
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE\VC\VCTargets\BuildCustomizations\CUDA 11.1.targets    
**785** 
...

Build tools: VC2017
Driver: CUDA 11.1 for windows-x64,
CUDNN v8.0.4.30

[Pepsi2006]

Hi,
Maybe remove compute_30,sm_30 from the cuda->device tab?

[krcc5978]

Excuse me
I deleted "compute_30" and "sm_30".

The build was successful but network_width is not found.

When I checked the inside of the dll, I thought that there was something missing

I think the cause is that yolo_cpp_dll.lib and yolo_cpp_dll.exp are not output when they are built.

What should I do ?

Build tools: VC2019
Driver: CUDA 11.0 for windows-x64,
CUDNN v8.0.4.30