解决Nvidia安装程序失败常见问题
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 ）
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！
②启动下面三个服务 参考网址：https://blog.csdn.net/aic1999/article/details/79894797
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
4. nvcc -V
Microsoft Windows [版本 10.0.17763.1158]
(c) 2018 Microsoft Corporation。保留所有权利。
C:\Users\cheng>nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:26_Pacific_Standard_Time_2019
Cuda compilation tools, release 10.1, V10.1.105
C:\Users\cheng>
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5. C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
6. 环境变量 -> 系统变量
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
7. demo_suite
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
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite> dir
目录: C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2020/5/4 21:16 nbody_data_files
d----- 2020/5/4 21:16 oceanFFT_data_files
d----- 2020/5/4 21:16 randomFog_data_files
-a---- 2019/2/9 13:57 250880 bandwidthTest.exe
-a---- 2019/2/9 13:57 279552 busGrind.exe
-a---- 2019/2/9 13:57 200192 deviceQuery.exe
-a---- 2019/2/9 13:57 311296 freeglut.dll
-a---- 2019/2/9 13:57 229376 glew64.dll
-a---- 2019/2/9 13:57 1265664 nbody.exe
-a---- 2019/2/9 13:57 552448 oceanFFT.exe
-a---- 2019/2/9 13:57 409088 randomFog.exe
-a---- 2019/2/9 13:57 224256 vectorAdd.exe
PS C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite>
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.\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>
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.\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>
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References
CUDA Toolkit
https://developer.nvidia.com/cuda-toolkit
GPU-Accelerated Libraries for AI and HPC
https://developer.nvidia.com/gpu-accelerated-libraries
NVIDIA Developer Tools Overview
https://developer.nvidia.com/tools-overview
CUDA Toolkit Documentation
https://docs.nvidia.com/cuda/
CUDA Installation Guide for Microsoft Windows
https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
CUDA Quick Start Guide
https://docs.nvidia.com/cuda/cuda-quick-start-guide/index.html
CUDA Code Samples
https://developer.nvidia.com/cuda-code-samples
An Even Easier Introduction to CUDA
https://devblogs.nvidia.com/even-easier-introduction-cuda/
NVIDIA Developer Blog
https://devblogs.nvidia.com/
Accelerated Computing - Training
https://developer.nvidia.com/accelerated-computing-training
NVIDIA Developer Forums
https://forums.developer.nvidia.com/
Display Driver Uninstaller (DDU)
https://www.wagnardsoft.com/