def test_aeb_space(test_spec):
global aeb_space
if aeb_space is None:
aeb_space = AEBSpace(test_spec, InfoSpace())
env_space = EnvSpace(test_spec, aeb_space)
agent_space = AgentSpace(test_spec, aeb_space)
aeb_space.init_body_space()
return aeb_space
def __init__(self, spec):
self.spec = spec
self.coor, self.index = info_space.index_lab_comp(self)
self.df = None
self.fitness_df = None
self.aeb_space = AEBSpace(self.spec)
self.env_space = EnvSpace(self.spec, self.aeb_space)
self.agent_space = AgentSpace(self.spec, self.aeb_space)
logger.info(util.self_desc(self))
self.aeb_space.init_body_space()
self.aeb_space.post_body_init()
def test_prioritized_replay_memory(request):
memspec = spec_util.get('base.json', 'base_prioritized_replay_memory')
memspec = util.override_test_spec(memspec)
aeb_mem_space = AEBSpace(memspec, InfoSpace())
env_space = EnvSpace(memspec, aeb_mem_space)
aeb_mem_space.init_body_space()
agent_space = AgentSpace(memspec, aeb_mem_space)
agent = agent_space.agents[0]
body = agent.nanflat_body_a[0]
res = (body.memory, ) + request.param
return res
def __init__(self, spec, info_space=InfoSpace()):
self.spec = spec
if info_space.get('session') is None:
info_space.tick('session')
self.info_space = info_space
self.coor, self.index = self.info_space.get_coor_idx(self)
# TODO option to set rand_seed. also set np random seed
self.torch_rand_seed = torch.initial_seed()
self.data = None
self.aeb_space = AEBSpace(self.spec, self.info_space)
self.env_space = EnvSpace(self.spec, self.aeb_space)
self.agent_space = AgentSpace(self.spec, self.aeb_space)
logger.info(util.self_desc(self))
self.aeb_space.init_body_space()
self.aeb_space.post_body_init()
def __init__(self, spec, info_space=None):
info_space = info_space or InfoSpace()
init_thread_vars(spec, info_space, unit='session')
self.spec = spec
self.info_space = info_space
self.coor, self.index = self.info_space.get_coor_idx(self)
# TODO option to set rand_seed. also set np random seed
self.torch_rand_seed = torch.initial_seed()
self.data = None
self.aeb_space = AEBSpace(self.spec, self.info_space)
self.env_space = EnvSpace(self.spec, self.aeb_space)
self.agent_space = AgentSpace(self.spec, self.aeb_space)
logger.info(util.self_desc(self))
self.aeb_space.init_body_space()
self.aeb_space.post_body_init()
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.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=None):
info_space = info_space or InfoSpace()
init_thread_vars(spec, info_space, unit='session')
self.spec = deepcopy(spec)
self.info_space = info_space
self.coor, self.index = self.info_space.get_coor_idx(self)
self.random_seed = 100 * (info_space.get('trial') or 0) + self.index
torch.cuda.manual_seed_all(self.random_seed)
torch.manual_seed(self.random_seed)
np.random.seed(self.random_seed)
self.data = None
self.aeb_space = AEBSpace(self.spec, self.info_space)
self.env_space = EnvSpace(self.spec, self.aeb_space)
self.agent_space = AgentSpace(self.spec, self.aeb_space)
logger.info(util.self_desc(self))
self.aeb_space.init_body_space()
self.aeb_space.post_body_init()
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_session_logger(self.spec, self.info_space, logger)
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)
assert not ps.is_dict(
global_nets
), f'multi agent global_nets must be a list of dicts, got {global_nets}'
self.agent_space = AgentSpace(self.spec, self.aeb_space, global_nets)
logger.info(util.self_desc(self))
logger.info(f'Initialized session {self.index}')