We should now be able to run nixpkgs-review like so: nixpkgs-review pr XXXXXX --extra-nixpkgs-config '{ cudaCapabilities = [ "8.6" ]; }'. This should save us some compute. There's cache for 8.6 on cuda-maintainers cachix for the master branch

https://github.com/Mic92/nixpkgs-review/pull/315

Samuel Ainsworth: oh, this is almost certainly happening because I decreased the frequency for the default set of cudaCapabilities

what things are building and what aren't atm

You can see which jobs sets are enabled and what schedule they run on in any "config" job in hercules, e.g.: https://hercules-ci.com/github/SomeoneSerge/nixpkgs-unfree/jobs/3513
The jobs are declared in flake.nix, e.g. buildMaster86Essential which, according to hercules, runs "00:19, 02:19, 20:19, 22:19 UTC every day", builds for cudaCapabilities = [ "8.6" ];.

because I decreased the frequency

Sorry I did that without proper announcement

In reply to @connorbaker:matrix.org
Per the conversation here https://github.com/NixOS/nixpkgs/pull/220366#discussion_r1135048161, what needs to be done to tell the community that we're dropping support for CUDA 10? Does it make sense to stop there, or should we drop up until 11.4? In terms of the GPUs we support, the only thing we'd remove support for is the early-generation Kepler GPUs: https://github.com/NixOS/nixpkgs/blob/master/pkgs/development/compilers/cudatoolkit/gpus.nix#L18-L31, since everything else is supported through at least 11.8.

{
  description = "A very basic flake";

  outputs = { self, nixpkgs }: 
  let
    system = "x86_64-linux";
    pkgs = import nixpkgs {
      inherit system;
      config = { 
        allowUnfree = true;
        cudaEnabled = true;
      };
    };
  in
  {
    devShell.${system} = import ./shell.nix { inherit pkgs; };
  };
}

{ pkgs }:
let 
my-python-packages = p: with p; [
  (pytorch.override { cudaSupport = true; })
  # other python packages
];
in
pkgs.mkShell {
  buildInputs = with pkgs; [
    (python3.withPackages my-python-packages)
  ];

  shellHook = ''
  '';
}

{
  description = "A very basic for pytorch support";

  inputs = {
    nixpkgs.url = "github:nixos/nixpkgs/nixos-unstable";
  };

  nixConfig = {
    # Add the CUDA maintainer's cache
    extra-substituters = [
      "https://nix-community.cachix.org"
      "https://cuda-maintainers.cachix.org"
    ];
    extra-trusted-public-keys = [
      "nix-community.cachix.org-1:mB9FSh9qf2dCimDSUo8Zy7bkq5CX+/rkCWyvRCYg3Fs="
      "cuda-maintainers.cachix.org-1:0dq3bujKpuEPMCX6U4WylrUDZ9JyUG0VpVZa7CNfq5E="
    ];
  };

  outputs = { self, nixpkgs, nixgl }:
    let
      system = "x86_64-linux";
      pkgs = import nixpkgs {
        inherit system;
        config = {
          allowUnfree = true;
          cudaEnabled = true;
          cudaCapabilities = [ "8.6" ];
          cudaForwardCompat = true;
        };
      };
      my-python-packages = p: with p; [
        (pytorch.override { cudaSupport = true; })
      ];
    in
    {
      devShell.${system} = pkgs.mkShell {
        packages = with pkgs; [
          (python310.withPackages my-python-packages)
        ];

       shellHook = ''
          export CUDA_PATH=${pkgs.cudatoolkit}
          export LD_LIBRARY_PATH=${pkgs.linuxPackages.nvidia_x11}/lib
          export EXTRA_LDFLAGS="-L/lib -L${pkgs.linuxPackages.nvidia_x11}/lib"
          export EXTRA_CCFLAGS="-I/usr/include"
       '';
      };
    };
}