Tensorflow

Tensorflow

There several possible ways to install tensorflow. Nixpkgs provides multiple versions, however, it is often desirable to be able to install the latest nightly from pip. This can accomplished in the following ways:

• By making a nix-shell

with import <nixpkgs> {};
mkShell {
  name = "tensorflow-cuda-shell";
  buildInputs = with python3.pkgs; [
    pip
    numpy
    setuptools
  ];
  shellHook = ''
    export LD_LIBRARY_PATH=${pkgs.stdenv.cc.cc.lib}/lib:${pkgs.cudatoolkit_10_1}/lib:${pkgs.cudnn_cudatoolkit_10_1}/lib:${pkgs.cudatoolkit_10_1.lib}/lib:$LD_LIBRARY_PATH
    alias pip="PIP_PREFIX='$(pwd)/_build/pip_packages' TMPDIR='$HOME' \pip"
    export PYTHONPATH="$(pwd)/_build/pip_packages/lib/python3.7/site-packages:$PYTHONPATH"
    export PATH="$(pwd)/_build/pip_packages/bin:$PATH"
    unset SOURCE_DATE_EPOCH
  '';
}

Within this shell, pip install tf-nightly should work and provide GPU support. The cuda toolkit version (and the version of tensorflow) can be changed to correspond with the matching tensorflow version.

Note: On NixOS 20.03 and above LD_LIBRARY_PATH no longer contains /run/opengl-driver/lib:/run/opengl-driver-32/lib by default, preventing tensorflow from discovering the Cuda libraries. This can be solved by manually (or using nixGL[1] ) appending your LD_LIBRARY_PATH in the shellHook, or by reverting to the pre-20.03 behavior by setting setLdLibraryPath to true in your hardware opengl configuration under configuration.nix.

hardware.opengl.setLdLibraryPath = true;

See also

• [2]