import os
from typing import Any, Callable, Dict, Optional, Type, Union
import gym
from stable_baselines3.common.atari_wrappers import AtariWrapper
from stable_baselines3.common.monitor import Monitor
from stable_baselines3.common.vec_env import DummyVecEnv, SubprocVecEnv, VecEnv
[docs]def unwrap_wrapper(env: gym.Env, wrapper_class: Type[gym.Wrapper]) -> Optional[gym.Wrapper]:
"""
Retrieve a ``VecEnvWrapper`` object by recursively searching.
:param env: Environment to unwrap
:param wrapper_class: Wrapper to look for
:return: Environment unwrapped till ``wrapper_class`` if it has been wrapped with it
"""
env_tmp = env
while isinstance(env_tmp, gym.Wrapper):
if isinstance(env_tmp, wrapper_class):
return env_tmp
env_tmp = env_tmp.env
return None
[docs]def is_wrapped(env: Type[gym.Env], wrapper_class: Type[gym.Wrapper]) -> bool:
"""
Check if a given environment has been wrapped with a given wrapper.
:param env: Environment to check
:param wrapper_class: Wrapper class to look for
:return: True if environment has been wrapped with ``wrapper_class``.
"""
return unwrap_wrapper(env, wrapper_class) is not None
[docs]def make_vec_env(
env_id: Union[str, Callable[..., gym.Env]],
n_envs: int = 1,
seed: Optional[int] = None,
start_index: int = 0,
monitor_dir: Optional[str] = None,
wrapper_class: Optional[Callable[[gym.Env], gym.Env]] = None,
env_kwargs: Optional[Dict[str, Any]] = None,
vec_env_cls: Optional[Type[Union[DummyVecEnv, SubprocVecEnv]]] = None,
vec_env_kwargs: Optional[Dict[str, Any]] = None,
monitor_kwargs: Optional[Dict[str, Any]] = None,
wrapper_kwargs: Optional[Dict[str, Any]] = None,
) -> VecEnv:
"""
Create a wrapped, monitored ``VecEnv``.
By default it uses a ``DummyVecEnv`` which is usually faster
than a ``SubprocVecEnv``.
:param env_id: either the env ID, the env class or a callable returning an env
:param n_envs: the number of environments you wish to have in parallel
:param seed: the initial seed for the random number generator
:param start_index: start rank index
:param monitor_dir: Path to a folder where the monitor files will be saved.
If None, no file will be written, however, the env will still be wrapped
in a Monitor wrapper to provide additional information about training.
:param wrapper_class: Additional wrapper to use on the environment.
This can also be a function with single argument that wraps the environment in many things.
Note: the wrapper specified by this parameter will be applied after the ``Monitor`` wrapper.
if some cases (e.g. with TimeLimit wrapper) this can lead to undesired behavior.
See here for more details: https://github.com/DLR-RM/stable-baselines3/issues/894
:param env_kwargs: Optional keyword argument to pass to the env constructor
:param vec_env_cls: A custom ``VecEnv`` class constructor. Default: None.
:param vec_env_kwargs: Keyword arguments to pass to the ``VecEnv`` class constructor.
:param monitor_kwargs: Keyword arguments to pass to the ``Monitor`` class constructor.
:param wrapper_kwargs: Keyword arguments to pass to the ``Wrapper`` class constructor.
:return: The wrapped environment
"""
env_kwargs = {} if env_kwargs is None else env_kwargs
vec_env_kwargs = {} if vec_env_kwargs is None else vec_env_kwargs
monitor_kwargs = {} if monitor_kwargs is None else monitor_kwargs
wrapper_kwargs = {} if wrapper_kwargs is None else wrapper_kwargs
def make_env(rank):
def _init():
if isinstance(env_id, str):
env = gym.make(env_id, **env_kwargs)
else:
env = env_id(**env_kwargs)
if seed is not None:
env.seed(seed + rank)
env.action_space.seed(seed + rank)
# Wrap the env in a Monitor wrapper
# to have additional training information
monitor_path = os.path.join(monitor_dir, str(rank)) if monitor_dir is not None else None
# Create the monitor folder if needed
if monitor_path is not None:
os.makedirs(monitor_dir, exist_ok=True)
env = Monitor(env, filename=monitor_path, **monitor_kwargs)
# Optionally, wrap the environment with the provided wrapper
if wrapper_class is not None:
env = wrapper_class(env, **wrapper_kwargs)
return env
return _init
# No custom VecEnv is passed
if vec_env_cls is None:
# Default: use a DummyVecEnv
vec_env_cls = DummyVecEnv
return vec_env_cls([make_env(i + start_index) for i in range(n_envs)], **vec_env_kwargs)
[docs]def make_atari_env(
env_id: Union[str, Callable[..., gym.Env]],
n_envs: int = 1,
seed: Optional[int] = None,
start_index: int = 0,
monitor_dir: Optional[str] = None,
wrapper_kwargs: Optional[Dict[str, Any]] = None,
env_kwargs: Optional[Dict[str, Any]] = None,
vec_env_cls: Optional[Union[DummyVecEnv, SubprocVecEnv]] = None,
vec_env_kwargs: Optional[Dict[str, Any]] = None,
monitor_kwargs: Optional[Dict[str, Any]] = None,
) -> VecEnv:
"""
Create a wrapped, monitored VecEnv for Atari.
It is a wrapper around ``make_vec_env`` that includes common preprocessing for Atari games.
:param env_id: either the env ID, the env class or a callable returning an env
:param n_envs: the number of environments you wish to have in parallel
:param seed: the initial seed for the random number generator
:param start_index: start rank index
:param monitor_dir: Path to a folder where the monitor files will be saved.
If None, no file will be written, however, the env will still be wrapped
in a Monitor wrapper to provide additional information about training.
:param wrapper_kwargs: Optional keyword argument to pass to the ``AtariWrapper``
:param env_kwargs: Optional keyword argument to pass to the env constructor
:param vec_env_cls: A custom ``VecEnv`` class constructor. Default: None.
:param vec_env_kwargs: Keyword arguments to pass to the ``VecEnv`` class constructor.
:param monitor_kwargs: Keyword arguments to pass to the ``Monitor`` class constructor.
:return: The wrapped environment
"""
if wrapper_kwargs is None:
wrapper_kwargs = {}
def atari_wrapper(env: gym.Env) -> gym.Env:
env = AtariWrapper(env, **wrapper_kwargs)
return env
return make_vec_env(
env_id,
n_envs=n_envs,
seed=seed,
start_index=start_index,
monitor_dir=monitor_dir,
wrapper_class=atari_wrapper,
env_kwargs=env_kwargs,
vec_env_cls=vec_env_cls,
vec_env_kwargs=vec_env_kwargs,
monitor_kwargs=monitor_kwargs,
)