def __init__(self, spec, info_space):
self.spec = spec
self.info_space = info_space
self.index = self.info_space.get('experiment')
util.set_logger(self.spec, self.info_space, logger, 'trial')
self.trial_data_dict = {}
self.data = None
analysis.save_spec(spec, info_space, unit='experiment')
SearchClass = getattr(search, spec['meta'].get('search'))
self.search = SearchClass(self)
logger.info(f'Initialized experiment {self.index}')
def __init__(self, spec, global_nets=None):
self.spec = spec
self.index = self.spec['meta']['session']
util.set_random_seed(self.spec)
util.set_cuda_id(self.spec)
util.set_logger(self.spec, logger, 'session')
spec_util.save(spec, unit='session')
self.agent, self.env = make_agent_env(self.spec, global_nets)
with util.ctx_lab_mode('eval'): # env for eval
self.eval_env = make_env(self.spec)
logger.info(util.self_desc(self))
def __init__(self, spec, info_space):
self.spec = spec
self.info_space = info_space
self.index = self.info_space.get('trial')
info_space.set('session', None) # Session starts anew for new trial
util.set_logger(self.spec, self.info_space, logger, 'trial')
self.session_data_dict = {}
self.data = None
analysis.save_spec(spec, info_space, unit='trial')
self.is_singleton = spec_util.is_singleton(
spec) # singleton mode as opposed to multi-agent-env space
self.SessionClass = Session if self.is_singleton else SpaceSession
self.mp_runner = init_run_session if self.is_singleton else init_run_space_session
logger.info(f'Initialized trial {self.index}')
def __init__(self, spec, info_space, global_nets=None):
self.spec = spec
self.info_space = info_space
self.index = self.info_space.get('session')
util.set_logger(self.spec, self.info_space, logger, 'session')
self.data = None
self.aeb_space = AEBSpace(self.spec, self.info_space)
self.env_space = EnvSpace(self.spec, self.aeb_space)
self.aeb_space.init_body_space()
util.set_rand_seed(self.info_space.get_random_seed(), self.env_space)
util.try_set_cuda_id(self.spec, self.info_space)
self.agent_space = AgentSpace(self.spec, self.aeb_space, global_nets)
logger.info(util.self_desc(self))
logger.info(f'Initialized session {self.index}')
def __init__(self, spec, info_space, global_nets=None):
self.spec = spec
self.info_space = info_space
self.index = self.info_space.get('session')
util.set_logger(self.spec, self.info_space, logger, 'session')
self.data = None
self.eval_proc = None # reference run_online_eval process
# init singleton agent and env
self.env = make_env(self.spec)
body = Body(self.env, self.spec['agent'])
util.set_rand_seed(self.info_space.get_random_seed(), self.env)
util.try_set_cuda_id(self.spec, self.info_space)
self.agent = Agent(self.spec,
self.info_space,
body=body,
global_nets=global_nets)
enable_aeb_space(self) # to use lab's data analysis framework
logger.info(util.self_desc(self))
logger.info(f'Initialized session {self.index}')
def __init__(self, spec):
self.spec = spec
self.index = self.spec['meta']['experiment']
util.set_logger(self.spec, logger, 'trial')
spec_util.save(spec, unit='experiment')
