TensorFlow

Install

export PATH="/usr/local/cuda-12.0/bin:${PATH}" export LD_LIBRARY_PATH="/usr/local/cuda-12.0/lib64:${LD_LIBRARY_PATH}" # ls -lah /usr/local/cuda-12.0/lib64/|grep libnvinfer # ls -lah /usr/local/cuda-12.0/lib64/|grep libcudart sudo update-alternatives --config cuda nvcc --version
sudo apt udpate sudo apt install python3-dev python3-pip python3-venv # sudo apt install nvidia-cuda-toolkit	apk update apk add bash gcc musl-dev python3 python3-dev py3-pip libxslt-dev libxml2-dev # apk add nvidia-cuda-toolkit
python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow" source ~/.venv/tensorflow/bin/activate pip install --upgrade pip	python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow" source ~/.venv/tensorflow/bin/activate pip install --upgrade pip
# export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 # pip install jep ads gspread
pip install tensorflow pip show tensorflow pip install tensorrt pip show tensorrt	pip install tensorflow[and-cuda] pip install tensorflow pip show tensorflow pip install tensorrt pip show tensorrt
python -c 'import tensorflow as tf; print(tf.__version__)' python -c 'import tensorflow as tf; print(tf.test.is_gpu_available())' python -c 'import tensorflow as tf; print("Tensorflow Version: ", tf.__version__)' python -c 'import tensorflow as tf; print(tf.config.list_physical_devices("GPU"))' python -c 'import tensorflow as tf; print(tf.sysconfig.get_build_info()["cudnn_version"])' pip uninstall tensorflow

CUDA Toolkit

verify cuda-capable gpu:
cat /proc/driver/nvidia/version
apt search nvidia-headless*
apt search nvidia-driver-*
ubuntu-drivers devices

lspci | grep -i nvidia
lsmod | grep -i nvidia
lspci | grep -e VGA
lspci | grep VGA

nvcc --version
nvidia-smi

curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub\
| sudo gpg --dearmor -o /usr/share/keyrings/cuda-archive-keyring.gpg

cat << EOF | sudo tee /etc/apt/sources.list.d/cuda-ubuntu2204-x86_64.list >/dev/null
deb [arch=$(dpkg --print-architecture)\
 signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg]\
 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /
EOF

sudo apt install cuda
sudo apt install cuda-drivers

Or:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb

sudo apt update
sudo apt install cuda
sudo apt install cuda-drivers

Reinstall Nvidia

sudo apt update && sudo apt list --upgradable && sudo apt upgrade
sudo /usr/local/cuda-X.Y/bin/cuda-uninstall
sudo apt autoremove nvidia* --purge
sudo /usr/bin/nvidia-uninstall

nvidia-detector
lspci | grep -e VGA
ubuntu-drivers devices
sudo ubuntu-drivers autoinstall
sudo apt install nvidia-driver-525 cuda

Knowledge

python3 -m venv .venv --prompt="TensorFlow" # source .venv/bin/activate # (academia) $	python3 -m venv .venv --prompt="TensorFlow" # source .venv/bin/activate # (molecule) $	<source lang="PowerShell"> python -m venv .venv --prompt="TensorFlow" .venv\Scripts\activate (molecule) PS> </syntaxhighlight>
apk list --installed|grep ^bash apk list --installed|grep bash apk add gcc	apk search | grep ^bash apk search | grep bash apk add g++	apk info --contents bash apk info --rdepends bash apk add libc6-compat
sudo apt search nvidia-cuda-toolkit sudo apt install nvidia-cuda-toolkit	sudo find / -name 'libcudart.so*' sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcuda*	nvidia-smi sudo apt install cuda
Installation  : driver  » driver & cuda » Installation  : driver  » driver & cuda » Installation  : driver  » driver & cuda »	Proprietary: sudo apt install nvidia-driver-510 sudo apt install nvidia-driver-510 cuda Proprietary: sudo apt install nvidia-driver-525 sudo apt install nvidia-driver-525 cuda Proprietary: sudo apt install nvidia-headless-525 sudo apt install nvidia-headless-525 cuda	OpenSource: sudo apt install nvidia-driver-510-open sudo apt install nvidia-driver-510-open cuda OpenSource: sudo apt install nvidia-driver-525-open sudo apt install nvidia-driver-525-open cuda OpenSource: sudo apt install nvidia-headless-525-open sudo apt install nvidia-headless-525-open cuda
generic sudo apt install linux-modules-nvidia-510-5.15.0-60-generic sudo apt install linux-modules-nvidia-525-5.15.0-60-generic nvidia sudo apt install linux-modules-nvidia-510-5.15.0-1015-nvidia sudo apt install linux-modules-nvidia-525-5.15.0-1015-nvidia		purge nvidia driver sudo apt remove --purge '^nvidia-.*' sudo apt remove --purge '^libnvidia-.*' sudo apt remove --purge '^cuda-.*' reinstall linux kernel sudo apt install linux-headers-$(uname -r)

References

Install TensorFlow Java OpenAI » Playground RegExp Playground Figma UI/UX Editor OpenAI » ChatGPT Download Drawio Kotlin Playground Java Playground Lucidchart Jupyter	Academia JavaEE Workspace in Raspbian Academia JavaEE Workspace in Ubuntu Academia JavaEE Workspace in MacOS VS Code on iPad Pro Install TensorFlow VSCode Hadoop Ansible Docker Spark	Could not load dynamic library libcudart.so.11.0 Could not load dynamic library libcublas.so.10 CUDA Installation Guide for Windows Tensorflow » CUDA Toolkit » Ubuntu Tensorflow » Dockerfile » Ubuntu PgAdmin 4 » Dockerfile » Alpine Tensorflow » Dockerfile » Alpine Difference between g++ & gcc Python 3 Virtual Env & Docker Linux Containers
Nvidia » NVML: Driver/library version mismatch xrandr Not Showing All Ports & Resolutions nvcc Environment variable or path setting Nvidia » Installing cuDNN and CUDA Toolkit Nvidia » Install Drivers on Ubuntu 22.04 Nvidia » CUDA Installation Guide nvidia-smi has failed Nvidia » cuDNN OpenGL PyEnv Bazel