Tensorflow on Majaro using propietary drivers

1. You must be using the Nvidia kernel (`nvidia-smi` should show info). This basically implies that the kernel recognizes the GPU.

2. Follow the instructions provided at https://www.tensorflow.org/install/pip:

  curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -o Miniconda3-latest-Linux-x86_64.sh
  bash Miniconda3-latest-Linux-x86_64.sh
  source ~/.bashrc
  conda create --name tf python=3.9
  conda activate tf
  conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/
  mkdir -p $CONDA_PREFIX/etc/conda/activate.d
  echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/' > $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
  pip install --upgrade pip
  pip install tensorflow

3. Install CUDA:

  sudo pacman -S cuda
  export CUDA_DIR=/opt/cuda/
  export XLA_FLAGS="--xla_gpu_cuda_data_dir=/opt/cuda"
  
4. Remove miniconda installer:

  rm ~/Miniconda3-latest-Linux-x86_64.sh
  
5. (optional) Install jupyter:

  pip install jupyter
  
0. Remember to activate the virtual environment!!

  conda activate tf