Video Length (hh:mm:ss.msec) = 00:00:07.779Įxcept I can’t see the video context even the window popup or event I set device=1 option. SetTextureFilterMode(GL_NEAREST,GL_NEAREST) > VideoDecoder::cudaVideoCreateFlags = Use CUDA decoder the cuvidCtxLockCreate failed: 100 problem dismissed and everything goes well. Hi AastaLLL, I can’t downgrade the driver with deb or ppa, so I reinstalled the ubuntu and install driver 375.66 and CUDA 8.0 with.
I searched for the gpuDeviceInitDRV() call, and TBC. Total amount of global memory: 979.8125 MB > Using GPU Device: GeForce GT 710 has SM 3.5 compute capability GpuDeviceInitDRV() Using CUDA Device : GeForce GT 710 I run cudaDecodeGL with vnc viewer first time, but when I connect a monitor to the GeForce GT 710, still has error with or without device option: argv =. Total amount of global memory: 7606.3750 MBĬudaDecodeGL: videoDecodeGL.cpp:1050: void initCudaVideo(): Assertion `0' failed.
> Using GPU Device: Tesla P4 has SM 6.1 compute capability I changed the “cuda-8.0/samples/3_Imaging/cudaDecodeGL/Makefile” one line # Common includes and paths for CUDAĪnd successful compiling cudaDecodeGL sample, but it run with failed 100 Īrgv =. I’m compiling the “cuda-8.0/samples/3_Imaging/cudaDecodeGL” and got: /usr/bin/ld: cannot find -lnvcuvid How to fix this? I already successful run decPerf sample in another environment 2 weeks ago. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
TensorRT 3.0 + CUDA 9.0 + cuDNN 7.0 + Tesla P4 + Driver 384.90Īnd the second tool chain installed at /home/admin/opt/TensorRT2.1 isĭeepStream 1.0 + Video Codec SDK 8.0.14 + TensorRT 2.1.2 + CUDA 8.0 + Tesla P4 + Driver 384.90Īnd the nvidia-smi tool output: Tue Dec 19 14:45:34 2017 The main ubuntu 16.04 develop toolchain is CUDA error 100 at line 165 in file src/nvDecLite.cpp Since we setup another deepstream develop environment, I compile and run the decPerf sample, but it log: = Video Parameters Begin =
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