nixpkgs/pkgs/development/python-modules/skrl/default.nix

78 lines
1.6 KiB
Nix

{ lib
, buildPythonPackage
, fetchFromGitHub
, fetchpatch
, pythonOlder
, pytestCheckHook
, gym
, gymnasium
, torch
, tensorboard
, tqdm
, wandb
, packaging
}:
buildPythonPackage rec {
pname = "skrl";
version = "0.10.2";
format = "setuptools";
disabled = pythonOlder "3.6";
src = fetchFromGitHub {
owner = "Toni-SM";
repo = pname;
rev = "refs/tags/${version}";
hash = "sha256-OY5+bUPg+G1eKFMvHlXSHwc2WWHTpyoyCKjY3MvlLyM=";
};
patches = [
# remove after next release:
(fetchpatch {
name = "fix-python_requires-specification";
url = "https://github.com/Toni-SM/skrl/pull/62/commits/9b554adfe2da6cd97cccbbcd418a349cc8f1de80.patch";
hash = "sha256-GeASMU1Pgy8U1zaIAVroBDjYaY+n93XP5uFyP4U9lok=";
})
];
propagatedBuildInputs = [
gym
gymnasium
torch
tensorboard
tqdm
wandb
packaging
];
nativeCheckInputs = [ pytestCheckHook ];
doCheck = torch.cudaSupport;
pythonImportsCheck = [
"skrl"
"skrl.agents"
"skrl.agents.torch"
"skrl.envs"
"skrl.envs.torch"
"skrl.models"
"skrl.models.torch"
"skrl.resources"
"skrl.resources.noises"
"skrl.resources.noises.torch"
"skrl.resources.schedulers"
"skrl.resources.schedulers.torch"
"skrl.trainers"
"skrl.trainers.torch"
"skrl.utils"
"skrl.utils.model_instantiators"
];
meta = with lib; {
description = "Reinforcement learning library using PyTorch focusing on readability and simplicity";
homepage = "https://skrl.readthedocs.io";
license = licenses.mit;
maintainers = with maintainers; [ bcdarwin ];
};
}