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Nix Data Science

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10 Mar 2022
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12 Mar 2022
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13 Mar 2022
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17 Mar 2022
@ss:someonex.netSomeone (UTC+3) Samuel Ainsworth: hey there 20:19:15
@ss:someonex.netSomeone (UTC+3)So, I presume this would be the appropriate channel to coordinate CUDA things?20:19:29
20 Mar 2022
@dguibert:matrix.orgDavid Guibert joined the room.15:12:02
21 Mar 2022
@skainswo:matrix.orgSamuel Ainsworth Someone S: Let's create our own channel just for the sake of having our own space. I don't want to spam data science folks with things that may not be directly relevant for them 22:29:30
@skainswo:matrix.orgSamuel AinsworthHow do we create a matrix room on the nixos.org domain?22:30:47
@jb:vk3.wtfjbedo ask in #matrix-suggestions:nixos.org 22:31:19
22 Mar 2022
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@ss:someonex.netSomeone (UTC+3) #cuda:nixos.org Samuel Ainsworth 13:29:31
29 Mar 2022
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3 Apr 2022
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8 Apr 2022
@carlthome:matrix.orgCarl Thomé joined the room.15:12:59
@carlthome:matrix.orgCarl ThoméHello hello! Anybody working with deep learning on audio data here? 🤗15:14:48
@skainswo:matrix.orgSamuel Ainsworth
In reply to @carlthome:matrix.org
Hello hello! Anybody working with deep learning on audio data here? 🤗
I'm not sure about audio data specifically, but I know that a few people are using NixOS for DL research
23:15:06
9 Apr 2022
@FRidh:matrix.orgFRidh
In reply to @carlthome:matrix.org
Hello hello! Anybody working with deep learning on audio data here? 🤗
Working with audio here and some ML but not DL. On the to do list :)
06:52:56
16 Apr 2022
@lihram:jnh.ems.hostHilmar (he/him) joined the room.23:12:40
17 Apr 2022
@yuu:matrix.orgYuu Yin joined the room.04:23:53
@yuu:matrix.orgYuu Yinanyone who has a flake for pytorch + cuda development? or it could be a shell.nix too06:30:27
@yuu:matrix.orgYuu Yin
{
  description = "Pytorch and stuff";

  # Specifies other flakes that this flake depends on.
  inputs = {
    devshell.url = "github:numtide/devshell";
    utils.url = "github:numtide/flake-utils";
    nixpkgs.url = "github:nixos/nixpkgs/nixos-21.11";
  };

  # Function that produces an attribute set.
  # Its function arguments are the flakes specified in inputs.
  # The self argument denotes this flake.
  outputs = inputs@{ self, nixpkgs, utils, ... }:
    (utils.lib.eachSystem [ "x86_64-linux" ] (system:
      let
        pkgs = (import nixpkgs {
          inherit system;
          config = {
            # For CUDA.
            allowUnfree = true;
            # Enables CUDA support in packages that support it.
            cudaSupport = true;
          };
        });
      in rec {
        # Executed by `nix build .#<name>`
        # Ignore this, it was just for testing.
        packages = utils.lib.flattenTree {
          hello = pkgs.hello;
        };

        # Executed by `nix build .`
        defaultPackage = packages.hello;
        # defaultPackage = pkgs.callPackage ./default.nix { };

        # Executed by `nix develop`
        devShell = with pkgs; mkShell {
          buildInputs = [
            python39 # numba-0.54.1 not supported for interpreter python3.10
          ] ++ (with python39.pkgs; [
            inflect
            librosa
            pip
            pytorch-bin
            unidecode
          ]) ++ (with cudaPackages; [
            cudatoolkit
          ]);

          shellHook = ''
            export CUDA_PATH=${pkgs.cudatoolkit}
          '';
        };
      }
    ));
}
14:52:09
@glepage:matrix.orgGaétan Lepage joined the room.22:00:17
@lepageg:ensimag.frGaétan Lepage left the room.22:02:06
18 Apr 2022
@ss:someonex.netSomeone (UTC+3)
In reply to @yuu:matrix.org
anyone who has a flake for pytorch + cuda development? or it could be a shell.nix too
Do you mean pytorch extensions?
14:03:22
@ss:someonex.netSomeone (UTC+3)
In reply to @yuu:matrix.org
{
  description = "Pytorch and stuff";

  # Specifies other flakes that this flake depends on.
  inputs = {
    devshell.url = "github:numtide/devshell";
    utils.url = "github:numtide/flake-utils";
    nixpkgs.url = "github:nixos/nixpkgs/nixos-21.11";
  };

  # Function that produces an attribute set.
  # Its function arguments are the flakes specified in inputs.
  # The self argument denotes this flake.
  outputs = inputs@{ self, nixpkgs, utils, ... }:
    (utils.lib.eachSystem [ "x86_64-linux" ] (system:
      let
        pkgs = (import nixpkgs {
          inherit system;
          config = {
            # For CUDA.
            allowUnfree = true;
            # Enables CUDA support in packages that support it.
            cudaSupport = true;
          };
        });
      in rec {
        # Executed by `nix build .#<name>`
        # Ignore this, it was just for testing.
        packages = utils.lib.flattenTree {
          hello = pkgs.hello;
        };

        # Executed by `nix build .`
        defaultPackage = packages.hello;
        # defaultPackage = pkgs.callPackage ./default.nix { };

        # Executed by `nix develop`
        devShell = with pkgs; mkShell {
          buildInputs = [
            python39 # numba-0.54.1 not supported for interpreter python3.10
          ] ++ (with python39.pkgs; [
            inflect
            librosa
            pip
            pytorch-bin
            unidecode
          ]) ++ (with cudaPackages; [
            cudatoolkit
          ]);

          shellHook = ''
            export CUDA_PATH=${pkgs.cudatoolkit}
          '';
        };
      }
    ));
}
Is there something pytorchWithCuda currently fails to do that you manage to accomplish with pytorch-bin?
14:04:00
@ss:someonex.netSomeone (UTC+3)...and: hello there:)14:04:06

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