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Within this shell, pip install tf-nightly should work and provide GPU support. The cuda toolkit version can be changed to correspond with the matching tensorflow version.
Within this shell, pip install tf-nightly should work and provide GPU support. The cuda toolkit version 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[https://github.com/guibou/nixGL] ) appending your LD_LIBRARY_PATH), 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 ==
== See also ==


* [https://discourse.nixos.org/t/installing-python-modules-from-pip-buildfhsuserenv-for-python-tutorial/5704/13]
* [https://discourse.nixos.org/t/installing-python-modules-from-pip-buildfhsuserenv-for-python-tutorial/5704/13]
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