I am trying to run sample application but I am running into the following error:
Initialize DriveWorks SDK v0.1.2 (47dcf3d4d12e5646ec971f4b54817f16213755ba) SensorFactory::createSensor() -> camera.virtual, video=/home/hasan/driveworks/samples/../data/samples/sfm/triangulation/video_0.h264 DriveWorks exception thrown: DW_CUDA_ERROR: NVCUVIDDecode: cannot create decoder : no CUDA-capable device is detected
I’ve ran many cuda applications flawlessly before and ./deviceQuery produces the following:
CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 1070" CUDA Driver Version / Runtime Version 8.0 / 8.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 8111 MBytes (8505458688 bytes) (16) Multiprocessors, (128) CUDA Cores/MP: 2048 CUDA Cores GPU Max Clock rate: 1645 MHz (1.64 GHz) Memory Clock rate: 4004 Mhz Memory Bus Width: 256-bit L2 Cache Size: 2097152 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: 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 2 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 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 = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1070 Result = PASS
Any idea what’s causing the error?