CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 7ddf0d978a61nvcr.io/nvidia/riva/riva-speech:2.14.0-l4t-aarch64“start-riva --riva-u…” 12 minutes ago Created 0.0.0.0:8000-8002->8000-8002/tcp, :::8000-8002->8000-8002/tcp, 0.0.0.0:8888->8888/tcp, :::8888->8888/tcp,...
Describe the bug Opening some liveTV streams (and some liveTV recordings) causes a loop of the animation for the stream opening over and over. It looks like it starts it at the correct resolution, then switches resolution so the gui appe...
NVIDIA CUDA: YES (ver 12.1, CUFFT CUBLAS) NVIDIA GPU arch: 86 NVIDIA PTX archs: cuDNN: YES (ver 8.8.0) OpenCL: YES (NVD3D11) Include path: C:/lib/opencv/3rdparty/include/opencl/1.2 Link libraries: Dynamic load Python 3:
2023-10-03 01:27:47.375 [debug] unknown @ 0 - libmpv_render/cuda: cu->cuGLGetDevices(&device_count, &display_dev, 1, CU_GL_DEVICE_LIST_ALL) failed -> CUDA_ERROR_OPERATING_SYSTEM: OS call failed or operation not supported on this OS ...
EDIT: I'm not trying to give NVIDIA flack for no reason, they do plenty of cool stuff (CUDA is amazing and my main computer is running on a 2070 super). I just want their driver to get better, it's pretty hard to recommend NVIDIA's cards when someone asks me why...
OpenCV: 4.5.4 with CUDA: NO Riva Version: CLI: 3.35.0 Quickstart: “nvidia/riva/riva_quickstart_arm64:2.14.0” Model registry: “nvidia/riva/speechtotext_en_us_lm:deployable_v6.0” Models downloaded from NGC using riva_init.sh Folder Name: model_repository (in locked mode) ...
Python platform: Linux-6.5.9-arch2-1-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 12.2.140 CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce GTX 1070 Nvidia driver version: 535.113.01 ...
could you please elaborate on your solution for the SuiteSparse (and a nVidia 1080 GPU)? I am having problems while starting reconstruction too and I have a nVidia 1080, Ubuntu 16.04 and Cuda 8.0. Could you please give me more details about how to implement your solution? Thank you. ...
This is a bug report This is a feature request I searched existing issues before opening this one Expected behavior I downloaded the pytorch/pytorch:1.3-cuda10.1-cudnn7-devel image and tried to start it with sudo nvidia-docker run -itd -...