fancy_gym/fancy_gym/envs/registry.py

181 lines
6.3 KiB
Python

from typing import Tuple, Union
import copy
import importlib
import numpy as np
from fancy_gym.utils.make_env_helpers import make_bb
from fancy_gym.utils.utils import nested_update
from gymnasium import register as gym_register
from gymnasium import make as gym_make
from fancy_gym.black_box.raw_interface_wrapper import RawInterfaceWrapper
class DefaultMPWrapper(RawInterfaceWrapper):
@property
def context_mask(self):
# If the env already defines a context_mask, we will use that
if hasattr(self.env, 'context_mask'):
return self.env.context_mask
# Otherwise we will use the whole observation as the context. (Write a custom MPWrapper to change this behavior)
return np.full(self.env.observation_space.shape, True)
@property
def current_pos(self) -> Union[float, int, np.ndarray, Tuple]:
assert hasattr(self.env, 'current_pos'), 'DefaultMPWrapper was unable to access env.current_pos. Please write a custom MPWrapper (recommended) or expose this attribute directly.'
return self.env.current_pos
@property
def current_vel(self) -> Union[float, int, np.ndarray, Tuple]:
assert hasattr(self.env, 'current_vel'), 'DefaultMPWrapper was unable to access env.current_vel. Please write a custom MPWrapper (recommended) or expose this attribute directly.'
return self.env.current_vel
_BB_DEFAULTS = {
'ProMP': {
'wrappers': [],
'trajectory_generator_kwargs': {
'trajectory_generator_type': 'promp'
},
'phase_generator_kwargs': {
'phase_generator_type': 'linear'
},
'controller_kwargs': {
'controller_type': 'motor',
'p_gains': 1.0,
'd_gains': 0.1,
},
'basis_generator_kwargs': {
'basis_generator_type': 'zero_rbf',
'num_basis': 5,
'num_basis_zero_start': 1,
'basis_bandwidth_factor': 3.0,
},
'black_box_kwargs': {
}
},
'DMP': {
'wrappers': [],
'trajectory_generator_kwargs': {
'trajectory_generator_type': 'dmp'
},
'phase_generator_kwargs': {
'phase_generator_type': 'exp'
},
'controller_kwargs': {
'controller_type': 'motor',
'p_gains': 1.0,
'd_gains': 0.1,
},
'basis_generator_kwargs': {
'basis_generator_type': 'rbf',
'num_basis': 5
},
'black_box_kwargs': {
}
},
'ProDMP': {
'wrappers': [],
'trajectory_generator_kwargs': {
'trajectory_generator_type': 'prodmp',
'duration': 2.0,
'weights_scale': 1.0,
},
'phase_generator_kwargs': {
'phase_generator_type': 'exp',
'tau': 1.5,
},
'controller_kwargs': {
'controller_type': 'motor',
'p_gains': 1.0,
'd_gains': 0.1,
},
'basis_generator_kwargs': {
'basis_generator_type': 'prodmp',
'alpha': 10,
'num_basis': 5,
},
'black_box_kwargs': {
}
}
}
KNOWN_MPS = list(_BB_DEFAULTS.keys())
ALL_FANCY_MOVEMENT_PRIMITIVE_ENVIRONMENTS = {mp_type: [] for mp_type in KNOWN_MPS}
def register(
id,
entry_point,
mp_wrapper=DefaultMPWrapper,
register_step_based=True, # TODO: Detect
add_mp_types=KNOWN_MPS,
mp_config_override={},
**kwargs
):
if not callable(mp_wrapper): # mp_wrapper can be given as a String (same notation as for entry_point)
mod_name, attr_name = mp_wrapper.split(':')
mod = importlib.import_module(mod_name)
mp_wrapper = getattr(mod, attr_name)
if register_step_based:
gym_register(id=id, entry_point=entry_point, **kwargs)
register_mps(id, mp_wrapper, add_mp_types, mp_config_override)
def register_mps(id, mp_wrapper, add_mp_types=KNOWN_MPS, mp_config_override={}):
for mp_type in add_mp_types:
register_mp(id, mp_wrapper, mp_type, mp_config_override.get(mp_type, {}))
def register_mp(id, mp_wrapper, mp_type, mp_config_override={}):
assert mp_type in KNOWN_MPS, 'Unknown mp_type'
assert id not in ALL_FANCY_MOVEMENT_PRIMITIVE_ENVIRONMENTS[mp_type], f'The environment {id} is already registered for {mp_type}.'
parts = id.split('-')
assert len(parts) >= 2 and parts[-1].startswith('v'), 'Malformed env id, must end in -v{int}.'
fancy_id = '-'.join(parts[:-1]+[mp_type, parts[-1]])
gym_register(
id=fancy_id,
entry_point=bb_env_constructor,
kwargs={
'underlying_id': id,
'mp_wrapper': mp_wrapper,
'mp_type': mp_type,
'_mp_config_override_register': mp_config_override
}
)
ALL_FANCY_MOVEMENT_PRIMITIVE_ENVIRONMENTS[mp_type].append(fancy_id)
def bb_env_constructor(underlying_id, mp_wrapper, mp_type, mp_config_override={}, _mp_config_override_register={}, **kwargs):
raw_underlying_env = gym_make(underlying_id, **kwargs)
underlying_env = mp_wrapper(raw_underlying_env)
mp_config = getattr(underlying_env, 'mp_config') if hasattr(underlying_env, 'mp_config') else {}
active_mp_config = copy.deepcopy(mp_config.get(mp_type, {}))
global_inherit_defaults = mp_config.get('inherit_defaults', True)
inherit_defaults = active_mp_config.pop('inherit_defaults', global_inherit_defaults)
config = copy.deepcopy(_BB_DEFAULTS[mp_type]) if inherit_defaults else {}
nested_update(config, active_mp_config)
nested_update(config, _mp_config_override_register)
nested_update(config, mp_config_override)
wrappers = config.pop('wrappers')
traj_gen_kwargs = config.pop('trajectory_generator_kwargs', {})
black_box_kwargs = config.pop('black_box_kwargs', {})
contr_kwargs = config.pop('controller_kwargs', {})
phase_kwargs = config.pop('phase_generator_kwargs', {})
basis_kwargs = config.pop('basis_generator_kwargs', {})
return make_bb(underlying_env,
wrappers=wrappers,
black_box_kwargs=black_box_kwargs,
traj_gen_kwargs=traj_gen_kwargs,
controller_kwargs=contr_kwargs,
phase_kwargs=phase_kwargs,
basis_kwargs=basis_kwargs,
**config)