commit 987231bd9573392d99f5807f1e64f630a3a67c9d · nekomimi.pet/nixcfg

+67

common/python-cuda-dev.nix

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       {

     

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         description = "A Nix-flake-based PyTorch development environment";

     

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         # CUDA binaries are cached by the community.

     

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         nixConfig = {

     

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           extra-substituters = [

     

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             "https://nix-community.cachix.org"

     

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           ];

     

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           extra-trusted-public-keys = [

     

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             "nix-community.cachix.org-1:mB9FSh9qf2dCimDSUo8Zy7bkq5CX+/rkCWyvRCYg3Fs="

     

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           ];

     

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         };

     

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         inputs.nixpkgs.url = "https://flakehub.com/f/NixOS/nixpkgs/0.1.*.tar.gz";

     

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         outputs = {

     

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           self,

     

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           nixpkgs,

     

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         }: let

     

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           supportedSystems = ["x86_64-linux" "aarch64-linux" "x86_64-darwin" "aarch64-darwin"];

     

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           forEachSupportedSystem = f:

     

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             nixpkgs.lib.genAttrs supportedSystems (system:

     

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               f {

     

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                 pkgs = import nixpkgs {

     

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                   inherit system;

     

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                   config.allowUnfree = true;

     

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                 };

     

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               });

     

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         in {

     

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           devShells = forEachSupportedSystem ({pkgs}: let

     

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             libs = [

     

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               # PyTorch and Numpy depends on the following libraries.

     

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               pkgs.cudaPackages.cudatoolkit

     

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               pkgs.cudaPackages.cudnn

     

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               pkgs.stdenv.cc.cc.lib

     

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               pkgs.zlib

     

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               # PyTorch also needs to know where your local "lib/libcuda.so" lives.

     

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               # If you're not on NixOS, you should provide the right path (likely

     

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               # another one).

     

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               "/run/opengl-driver"

     

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             ];

     

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           in {

     

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             default = pkgs.mkShell {

     

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               packages = [

     

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                 pkgs.python312

     

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                 pkgs.python312Packages.venvShellHook

     

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               ];

     

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               env = {

     

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                 CC = "${pkgs.gcc}/bin/gcc"; # For `torch.compile`.

     

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                 LD_LIBRARY_PATH = pkgs.lib.makeLibraryPath libs;

     

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               };

     

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               venvDir = ".venv";

     

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               postVenvCreation = ''

     

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                 # This is run only when creating the virtual environment.

     

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                 pip install torch==2.5.1 numpy==2.2.2

     

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               '';

     

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               postShellHook = ''

     

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                 # This is run every time you enter the devShell.

     

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                 python3 -c "import torch; print('CUDA available' if torch.cuda.is_available() else 'CPU only')"

     

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               '';

     

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             };

     

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           });

     

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         };

     

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       }

hosts/valefar/default.nix

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           nodejsPackage = pkgs.nodejs_20;

     

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         };

     

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         services.ollama = {

     

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           enable = true;

     

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           loadModels = ["deepseek-r1:1.5b", "gemma3:12b"]

     

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         }

     

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         # =============================================================================

     

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         # VIRTUALIZATION

     

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         # =============================================================================