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解决Nvidia安装程序失败常见问题
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1.安装这个出现：
“CUDA Setup Package:error” “Error during execution".\\setup.exe". 操作成功完成。” . 解决策略 ①下载一个软件 参考网址：https://blog.csdn.net/Zz0615/article/details/88761910百度了一下，原因可能是我的电脑有VS，影响了cuda的安装，于是打算把上次安装失败的所有cuda的东西都删了，于是我找了所有有关的文件和注册表，都删完了之后，发现还是不可以，这时候百度到了DDU，它可以帮助我们删除显卡驱动，于是就去下载了（网址：https://www.wagnardsoft.com/forums/viewtopic.php?f=5&t=1490 ） 右键”此电脑“，点击”管理“。 右键启动/左上角启动服务：Device Install Service、Device Setup Manager、Windows Installer然后再开始安装。 前5步就能避开某些坑，完成了这5步其实就能再次尝试一下安装cuda了。 但是作为一个从昨晚搞到今天的差点崩溃人深知事情没那么简单.... 6、还是安装失败？很好！这是我结合网友的解决方法—— 再次打开设备管理器！右键卸载驱动！注意是卸载我们目标gpu型号的驱动，不要把核心显卡的驱动卸载了，会黑屏的........ 7、把cuda安装的东西彻彻底底删个干净，去查看C:\目录下有没有驱动文件夹NVIDIA， 去看C:\Program Files目录下有没有文件夹NVIDIA Corporation、NVIDIA GPU Computing Toolkit
有的话！删！但是cuda安装包留着。 8、重新安装gpu驱动！（我是通过驱动精灵自动检索安装的） 9、重新执行第四步、第五步。 10、再次尝试下载。 最后测试：如果真的安装好了，就可以通过nvidia命令查看当前gpu设备了。 ③删除环境cuda环境变量 二、出现第二种情况 参考网址： https://yongqiang.blog.csdn.net/article/details/105919991?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-1.control&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromBaidu-1.control
NVIDIA 安装程序失败
6. 自定义安装选项 - 取消勾选 Visual Studio Integration
7. CUDA SamplesC:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
CUDA_PATHC:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1 CUDA_PATH_V10_1C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1 NVCUDASAMPLES_ROOTC:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1 NVCUDASAMPLES10_1_ROOTC:\ProgramData\NVIDIA Corporation\CUDA Samples\v10.1
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite Shift + 鼠标右键 -> 在此处打开 Powershell 窗口 .\bandwidthTest.exe PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> .\bandwidthTest.exe [CUDA Bandwidth Test] - Starting... Running on... Device 0: GeForce GTX 1060 with Max-Q Design Quick Mode Host to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 6343.7 Device to Host Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 6409.8 Device to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 146651.3 Result = PASS NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled. PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> 1234567891011121314151617181920212223242526.\deviceQuery.exe PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> .\deviceQuery.exe C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite\deviceQuery.exe Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1060 with Max-Q Design" CUDA Driver Version / Runtime Version 10.1 / 10.1 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 6144 MBytes (6442450944 bytes) (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores GPU Max Clock rate: 1342 MHz (1.34 GHz) Memory Clock rate: 4004 Mhz Memory Bus Width: 192-bit L2 Cache Size: 1572864 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers Total amount of constant memory: zu bytes Total amount of shared memory per block: zu bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: zu bytes Texture alignment: zu bytes Concurrent copy and kernel execution: Yes with 5 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model) Device supports Unified Addressing (UVA): Yes Device supports Compute Preemption: Yes Supports Cooperative Kernel Launch: No Supports MultiDevice Co-op Kernel Launch: No Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.1, CUDA Runtime Version = 10.1, NumDevs = 1, Device0 = GeForce GTX 1060 with Max-Q Design Result = PASS PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647 ReferencesCUDA Toolkithttps://developer.nvidia.com/cuda-toolkit GPU-Accelerated Libraries for AI and HPChttps://developer.nvidia.com/gpu-accelerated-libraries NVIDIA Developer Tools Overviewhttps://developer.nvidia.com/tools-overview CUDA Toolkit Documentationhttps://docs.nvidia.com/cuda/ CUDA Installation Guide for Microsoft Windowshttps://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html CUDA Quick Start Guidehttps://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html CUDA Code Sampleshttps://developer.nvidia.com/cuda-code-samples An Even Easier Introduction to CUDAhttps://devblogs.nvidia.com/even-easier-introduction-cuda/ NVIDIA Developer Bloghttps://devblogs.nvidia.com/ Accelerated Computing - Traininghttps://developer.nvidia.com/accelerated-computing-training NVIDIA Developer Forumshttps://forums.developer.nvidia.com/ Display Driver Uninstaller (DDU)https://www.wagnardsoft.com/ |
运行成功后重启电脑，然后重新安装cuda，这时候就要比较小心，点击自定义，转到另一个可以自定义功能的界面，把vs相关的那一项的勾选去掉，然后就ok了，最后显示安装成功！
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