cuda编程cudaGetDeviceCount()出问题。检测:运行cuda sample——deviceQuery,Fail,原因:no CUDA-capable device is detected。但是之前编译caffe(含cuda和cudnn),以及nvcc 编译自己编写的.cu程序都OK。(怪不得caffe这次安装了cudnn,运行mnist,还很慢) 常用命令 nvcc -V:可以查看cuda版本 prime-select query:可以查看正...
cd/usr/local/cuda-9.0/samples/1_Utilities/deviceQuery make sudo ./deviceQuery 之后出现以下的错误: $ ./deviceQuery ./deviceQuery Starting... CUDA DeviceQuery(Runtime API)version (CUDARTstaticlinking) cudaGetDeviceCount returned30-> unknownerrorResult=FAIL 解决办法: 检查NVIDIA驱动是否安装好了 $nvidia-sm...
接着在上一个终端中输入 :cd/home/xxx/NVIDIACUDA−9.0Samples/bin/x8664/linux/release其中xxx是你自己的用户名然后在终端输入:./deviceQuery 结果如下图所示:看到类似如下图片中的显示,则代表CUDA安装且配置成功,其中 Result = PASS代表成功,若失败 Result = FAIL 3)最后再检查一下系统和CUDA-Capable device的...
2.5.2找到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite目录下的deviceQuery.exe,在 cmd里输入:deviceQuery.exe 上图中Result=PASS,表示安装好,否则Result=Fail重装或更换cuda版本吧。 2.5.3找到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\extras\demo_suite目录下的...
全部编译完成后, 进入 ./bin/x86_64/linux/release, 运行deviceQuery ./deviceQuery 1. 如果出现下面信息, CUDA Device Query (Runtime API) version (CUDART static linking) cudaGetDeviceCount returned 30 -> unknown error Result = FAIL 1. 2.
I tried CUDA 2.1. Again, deviceQuery works but the other demos fail. This time, they fail in different ways from before: [codebox][root@ca3-1 release]# ./deviceQuery There is 1 device supporting CUDA Device 0: “Quadro FX 4600” ...
问下,deviceQ..内容如下:cudaGetDeviceCount returned 101-> invalid device ordinalResult = FAIL返回值101,原因是不可用的设备序号,结果是运行失败系统是Ubuntu18.04LTS,驱动版本440.31,CUDA版本10.2(通过nvidia-smi查询)
/deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) cudaGetDeviceCount returned 30 -> unknown error Result = FAIL 查看显卡是否安装 代码语言:javascript 复制 $ nvidia-smi NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure ...
然后在终端输入 :$ ./devicequery 结果如下图所示:看到类似如下图片中的显示,则代表cuda安装且配置成功,其中 result = pass代表成功,若失败 result = fail 3)最后再检查一下系统和cuda-capable device的连接情况 终端输入 : $./bandwidthtest 看到类似如下图片中的显示,则代表成功...
root@jty:~/NVIDIA_CUDA-9.0_Samples/1_Utilities/deviceQuery# ./deviceQuery ./deviceQuery Starting...CUDA Device Query (Runtime API) version (CUDART static linking)cudaGetDeviceCount returned 30-> unknown errorResult = FAIL经过多方查找原因之后,发现大多数的解决方法都是在解决宿主机上发生这种情况的问题,...