depot/third_party/nixpkgs/pkgs/development/python-modules/torchrl/default.nix
Default email 5c370c0b2a Project import generated by Copybara.
GitOrigin-RevId: 33d1e753c82ffc557b4a585c77de43d4c922ebb5
2024-05-15 17:35:15 +02:00

168 lines
3.2 KiB
Nix

{ lib
, buildPythonPackage
, pythonOlder
, fetchFromGitHub
, ninja
, setuptools
, wheel
, which
, cloudpickle
, numpy
, torch
, ale-py
, gym
, pygame
, torchsnapshot
, gymnasium
, mujoco
, h5py
, huggingface-hub
, minari
, pandas
, pillow
, requests
, scikit-learn
, torchvision
, tqdm
, moviepy
, git
, hydra-core
, tensorboard
, wandb
, packaging
, tensordict
, imageio
, pytest-rerunfailures
, pytestCheckHook
, pyyaml
, scipy
, stdenv
}:
buildPythonPackage rec {
pname = "torchrl";
version = "0.4.0";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchFromGitHub {
owner = "pytorch";
repo = "rl";
rev = "refs/tags/v${version}";
hash = "sha256-8wSyyErqveP9zZS/UGvWVBYyylu9BuA447GEjXIzBIk=";
};
build-system = [
ninja
setuptools
wheel
which
];
dependencies = [
cloudpickle
numpy
packaging
tensordict
torch
];
passthru.optional-dependencies = {
atari = [
ale-py
gym
pygame
];
checkpointing = [
torchsnapshot
];
gym-continuous = [
gymnasium
mujoco
];
offline-data = [
h5py
huggingface-hub
minari
pandas
pillow
requests
scikit-learn
torchvision
tqdm
];
rendering = [
moviepy
];
utils = [
git
hydra-core
tensorboard
tqdm
wandb
];
};
# torchrl needs to create a folder to store datasets
preBuild = ''
export D4RL_DATASET_DIR=$(mktemp -d)
'';
pythonImportsCheck = [
"torchrl"
];
# We have to delete the source because otherwise it is used instead of the installed package.
preCheck = ''
rm -rf torchrl
export XDG_RUNTIME_DIR=$(mktemp -d)
'';
nativeCheckInputs = [
gymnasium
imageio
pytest-rerunfailures
pytestCheckHook
pyyaml
scipy
torchvision
]
++ passthru.optional-dependencies.atari
++ passthru.optional-dependencies.gym-continuous
++ passthru.optional-dependencies.rendering;
disabledTests = [
# mujoco.FatalError: an OpenGL platform library has not been loaded into this process, this most likely means that a valid OpenGL context has not been created before mjr_makeContext was called
"test_vecenvs_env"
# ValueError: Can't write images with one color channel.
"test_log_video"
# Those tests require the ALE environments (provided by unpackaged shimmy)
"test_collector_env_reset"
"test_gym"
"test_gym_fake_td"
"test_recorder"
"test_recorder_load"
"test_rollout"
"test_parallel_trans_env_check"
"test_serial_trans_env_check"
"test_single_trans_env_check"
"test_td_creation_from_spec"
"test_trans_parallel_env_check"
"test_trans_serial_env_check"
"test_transform_env"
];
meta = with lib; {
description = "A modular, primitive-first, python-first PyTorch library for Reinforcement Learning";
homepage = "https://github.com/pytorch/rl";
changelog = "https://github.com/pytorch/rl/releases/tag/v${version}";
license = licenses.mit;
maintainers = with maintainers; [ GaetanLepage ];
# ~3k tests fail with: RuntimeError: internal error
broken = stdenv.isLinux && stdenv.isAarch64;
};
}