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Install the following before installing CERN ROOT TMVA

You can try to install (PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers) using the Lambda Stack https://lambdalabs.com/lambda-stack-deep-learning-software
wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
sudo reboot

If you use pip install directly for each of these, I think you will have to move your .local
mv ~/.local ~/.local.bak

For virtual environment installs (This is recommended for both TensorFlow and ROOT)

Miniconda installation

Check your:
   pip -v list | grep -v "/usr/lib/python3/dist-packages"
    * This will show you any package installed that is not part of Lambda Stack or Ubuntu
      (Ideally these other packages should only be in a virtual environment Python venv or Anaconda/Miniconda

1. Install Miniconda:
   From: https://docs.conda.io/en/latest/miniconda.html#linux-installers
   Current version for Python 3.10:
   
    $ wget https://repo.anaconda.com/miniconda/Miniconda3-py310_22.11.1-1-Linux-x86_64.sh
    $ bash Miniconda3-py310_22.11.1-1-Linux-x86_64.sh
 
2. Activate the environment for miniconda to be active:
   $ . $HOME/.bashrc

   If you want Miniconda installed but not always active, I would not mix Miniconda with python venv,
   since Miniconda blocks the default install.

   I do the following so conda is not always activated, and I can switch between Miniconda and Python venv:
    (base) $ conda deactivate
    $ conda deactivate
    $ conda config --set auto_activate_base false

3. Create a environment: conda config --set auto_activate_base false

3. Create a environment:
sudo apt install nvidia-driver-525
conda create --name tf_gpu -c nvidia -c conda-forge tensorflow=2.7 cudatoolkit=11.4 cudnn

     a. Create from the command line:
        $ conda create --name tensorrt_quick tensorflow -c nvidia
     b. Activate the Miniconda environment:
        $ conda activate tensorrt_quick
     c. Install other dependencies:
        $tensorrt_quick) $ pip install pandas scikit-learn matplotlib numpy

4. Run the code:
   (tensorrt_quick) $ python quick.py

   * I did not need to set LD_LIBRARY_PATH or anything

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Installation of ROOT:
Build from source using - https://root.cern/install/build_from_source/

prerequisits

sudo apt-get install gfortran libpcre3-dev xlibmesa-glu-dev libglew1.5-dev libftgl-dev libmysqlclient-dev libfftw3-dev libcfitsio-dev graphviz-dev libavahi-compat-libdnssd-dev libldap2-dev python-dev libxml2-dev libkrb5-dev libgsl0-dev qtwebengine5-dev

sudo apt-get install libxft-dev

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libxext-dev python libssl-dev

$git clone --branch latest-stable --depth=1 https://github.com/root-project/root.git root_src
$mkdir <builddir> <installdir>
$cd <builddir>

cmake -DCMAKE_INSTALL_PREFIX=/home/dir/root_inst -Dcuda=ON -Dcudnn=ON -Dtmva-gpu=ON -Dtmva-cpu=ON /home/dustin/root_src/

cmake --build . --target install j5

source /home/dustin/root_inst/bin/thisroot.sh