首先,需要确认 cudnn9-cuda-12 这个包名是否准确。通常,NVIDIA cuDNN 的包名格式可能有所不同,并不总是遵循 cudnnX-cuda-Y 的形式。你可以通过访问 NVIDIA 官网的 cuDNN 下载页面来确认正确的包名。 检查CUDA和cuDNN的版本兼容性: 确保你安装的 cuDNN 版本与你的 CUDA Toolkit 版本兼容。例如,c
user@host$ll${OPT_PATH}/cuda/toolkit_9.0/cuda/extras/CUPTI/lib64libcupti.solibcupti.so.9.0libcupti.so.9.0.176*user@host$locate libcupti.so/usr/lib/x86_64-linux-gnu/libcupti.so/usr/lib/x86_64-linux-gnu/libcupti.so.7.5/usr/lib/x86_64-linux-gnu/libcupti.so.7.5.18 The correct pack...
I believe this might be the reason the camera is not working in the Python code. Additionally, there’s something related to CUDA. I’m not sure if this might cause problems in the future, but I wanted to mention it; Thank you in advance for your help.14...
I have an Orin nano and installed SDK manager 2.2.0 and are unable to install jetpack 6.0 or 6.1 on the NVME memory. Need some advice of how to be able to install latest jetpack version. It is possible to install jetpack 5.1.4 using the SDK but fails when trying to install 6.1. The...
Search before asking I have searched the YOLOv8 issues and discussions and found no similar questions. Question I want to train yolov8x_seg and my torch version is '2.0.1+cu117', cuda version is '11.8', python 3.10.12 and when I run ultr...
CUDA: NOT_INSTALLED cuDNN: 8.4.1.50 TensorRT: 8.4.1.5 Visionworks: NOT_INSTALLED OpenCV: 4.5.4 compiled CUDA: NO VPI: ii libnvvpi2 2.1.6 arm64 NVIDIA Vision Programming Interface library Vulkan: 1.3.203 Below here is use gst inspector to check the decoder feature on Jetso...
Unable to determine the device handle for GPU. GPU is lost. Reboot the system to recover this GPU GPU - Hardware cuda , cudnn 0 516 2020 年11 月 11 日 Unable to determine the device handle for GPU 0000:21:00.0: GPU is lost. Reboot the syste...
jetson_inference should work with the default CUDA 11.4 which is included in the JetPack. Could you give CUDA 11.4 a try rather than the CUDA 12 from the website? The package can be found (JetPack components) when you install JetPack with SDKmanager. Thanks.dusty...
bash: cd: /usr/local/cuda-10.0/samples/1_Utilities/deviceQuery: No such file or directory At present, I successfully reinstall Nvidia 430 in ppa but fails to reinstall cuda 10.0. Please see the message as follows. $ sudo apt install cuda-toolkit-10-0 Reading package lists...
self.cuda_ctx = cuda.Device(0).make_context() # Use GPU:0 I was able to solve this er...