Closed lixinfan closed 8 years ago
Can you run the NVIDIA samples? Whats's the result of your deviceQuery?
Ok, the problem is solved by updating CUDA driver to 346.72 and the issue can be closed now.
The results of deviceQuery is correct as well: CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 770" CUDA Driver Version / Runtime Version 7.0 / 6.5 CUDA Capability Major/Minor version number: 3.0 Total amount of global memory: 2047 MBytes (2146762752 bytes) ( 8) Multiprocessors, (192) CUDA Cores/MP: 1536 CUDA Cores GPU Clock rate: 1110 MHz (1.11 GHz) Memory Clock rate: 3505 Mhz Memory Bus Width: 256-bit L2 Cache Size: 524288 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 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: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 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 Device supports Unified Addressing (UVA): Yes Device PCI Bus ID / PCI location ID: 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce GTX 770 Result = PASS
when run the test following error encountered. ./all_tests Running executable: ./all_tests Checking available CUDA-capable devices... ERROR: cudaGetDeviceCount CUDA driver version is insufficient for CUDA runtime version
I am currently using NVIDIA-SMI 340.93, Driver Version: 340.93 and Cuda 7.0 on Linux Mint 17.2 Cinnamon 64-bit. So which version of CUDA driver version is expected? Thanks.