Please note that the following commands were executed on a system that already had CUDA support so we might be missing a step or two to enable NVIDIA CUDA support.
To anyone coming across this post, please note that Canonical does not officially support CUDA. Not being supported formally means that you could face problems that we did not while setting up our machine. Recently we wanted to use our GPU to execute various TensorFlow projects. We had to use…
Below are the commands to build vid.stab and ffmpeg on Ubuntu 20.04LTS. (We did not include libaom). sudo apt-get install build-essential cmake nasm libx264-dev libx265-dev libnuma-dev libvpx-dev libfdk-aac-dev libmp3lame-dev libopus-dev libunistring-dev mkdir ~/ffmpeg_sources ~/ffmpeg_build ~/bin cd ~/ffmpeg_sources wget https://github.com/georgmartius/vid.stab/archive/master.zip unzip master.zip cd vid.stab-master cmake -DCMAKE_INSTALL_PREFIX:PATH=~/ffmpeg_build . make make install sudo…
Recently we were working on some local Jupyter notebooks for the "DeepLearning.AI TensorFlow Developer Professional Certificate". To prepare for the setup with GPU, we followed the instructions at https://www.tensorflow.org/install/gpu. But as we were going through the notebooks we noticed the following error at the terminal: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load…