TF 2.4 GPU Conda Setup

tf-gpu.sh

#!/bin/bash

# Initialize conda environment
echo 'Create Conda env? Type y or n and then press [ENTER]:'
read create_env

if [ $create_env = "y" ];
then
  echo "Provide name for Conda virtualenv and then press [ENTER]:"
  read env_name
  conda create --name "$env_name" --yes python=3.8

  echo "Activating the $env_name virtual environment"
  conda init bash
  conda activate "$env_name"

else
  echo 'Installing tensorflow to default environment'
fi

echo 'Adding NVIDIA package repositories'
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
sudo apt-get update

wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb

sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update

echo 'Installing NVIDIA drivers'
sudo apt-get install --no-install-recommends nvidia-driver-450

# Reboot. Check that GPUs are visible using the command: nvidia-smi

wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
sudo apt install ./libnvinfer7_7.1.3-1+cuda11.0_amd64.deb
sudo apt-get update

echo 'Installing CUDA development and runtime libraries (~4GB)'
sudo apt-get install --no-install-recommends \
    cuda-11-0 \
    libcudnn8=8.0.4.30-1+cuda11.0  \
    libcudnn8-dev=8.0.4.30-1+cuda11.0


echo 'Install TensorRT. Requires that libcudnn8 is installed above.'
sudo apt-get install -y --no-install-recommends libnvinfer7=7.1.3-1+cuda11.0 \
    libnvinfer-dev=7.1.3-1+cuda11.0 \
    libnvinfer-plugin7=7.1.3-1+cuda11.0

echo 'Upgrading Python pip installer and installing TensorFlow'
pip3 install --upgrade pip
pip3 install tensorflow==2.4

Source: https://gretel.ai/blog/install-tensorflow-with-cuda-cdnn-and-gpu-support-in-4-easy-steps

Reboot the system after running the script.