I am traning YOLOV5 "L6" model for my important project. I have a so huge dataset contains UAV and drone image, and I need the train with huge input dimension (A few months ago I train "M" model with 640x640…
NVIDIA starting from CUDA 11.x should in theory guarantee compatibility of their CUDA Toolkit libraries (typically shipped inside docker containers) and the driver library libcuda.so (installed on the host). This should be true at least when we stay within all…
I know that this question has been asked a lot, but none of the suggestions seem to work, probably since my setup is somewhat different: Ubuntu 22.04 python 3.10.8 tensorflow 2.11.0 cudatoolkit 11.2.2 cudnn 8.1.0.77 nvidia-tensorrt 8.4.3.1 nvidia-pyindex 1.0.9 Having…
I am trying to run a Gstreamer plugin written to run NVIDIA Maxine filters through the pipeline. I keep getting no element "nvmaxinevideofx", and I'm wondering if there is anything fundamentally wrong with my approach or if I'm just making…
OS:Ubuntu 20.04LTS Windows10 dual boot Error with nvidia-smi command after apt installation of nvidia driver. $ nvidia-smi Unable to determine the device handle for GPU 0000:0B:00.0: Not Found $ dmesg |grep NVRM [ 3.065144] NVRM: loading NVIDIA UNIX Open Kernel…
I am using a Ubuntu 20.04.4 server with 2xNVidia A100 GPUs. Spark (3.3.0) works fine normally, but when I try to use GPUs through RAPIDS, it just keeps waiting without loading data. I tried loading data as CSV and parquet…
I installed the nvidia-docker2 following the instructions here. When running the following command I will get the expected output as shown. sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 495.29.05 Driver Version: 495.29.05 CUDA Version: 11.5 |…
I am having interesting and weird issue. When I start docker container with gpu it works fine and I see all the gpus in docker. However, few hours or few days later, I can't use gpus in docker. When I…
I am trying to enable my nvidia gtx 1050 mobile gpu for tensorflow v2.9. Here is what I have so far: The proper driver for my graphics card is 470.xx as per this question. I have installed 470.129.06 . When…
[TL;DR] First, wait for a couple of minutes and check if the Nvidia driver starts to work properly. If not, stop and start the VM instance again. I created a Deep Learning VM (Google Click to Deploy) with an A100…