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Copy pathcoordinator.py
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executable file
·480 lines (448 loc) · 20.1 KB
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import time
import copy
from typing import List
from queue import Queue
from threading import Thread
from easydict import EasyDict
from ding.utils import build_logger, LockContext, LockContextType, get_task_uid
from ding.worker import create_buffer
from .comm_coordinator import CommCoordinator
from .base_parallel_commander import create_parallel_commander
class TaskState(object):
r"""
Overview:
State recorder of the task, including ``task_id`` and ``start_time``.
Interface:
__init__
"""
def __init__(self, task_id: str) -> None:
r"""
Overview:
Init the task tate according to task_id and the init time.
"""
self.task_id = task_id
self.start_time = time.time()
class Coordinator(object):
r"""
Overview:
the coordinator will manage parallel tasks and data
Interface:
__init__, start, close, __del__, state_dict, load_state_dict,
deal_with_collector_send_data, deal_with_collector_finish_task,
deal_with_learner_get_data, deal_with_learner_send_info, deal_with_learner_finish_task
Property:
system_shutdown_flag
"""
config = dict(
collector_task_timeout=30,
learner_task_timeout=600,
operator_server=dict(),
)
@classmethod
def default_config(cls: type) -> EasyDict:
cfg = EasyDict(copy.deepcopy(cls.config))
cfg.cfg_type = cls.__name__ + 'Dict'
return cfg
def __init__(self, cfg: dict) -> None:
r"""
Overview:
init method of the coordinator
Arguments:
- cfg (:obj:`dict`): the config file to init the coordinator
"""
self._exp_name = cfg.main.exp_name
self._coordinator_uid = get_task_uid()
coor_cfg = cfg.system.coordinator
self._collector_task_timeout = coor_cfg.collector_task_timeout
self._learner_task_timeout = coor_cfg.learner_task_timeout
self._callback = {
'deal_with_collector_send_data': self.deal_with_collector_send_data,
'deal_with_collector_judge_finish': self.deal_with_collector_judge_finish,
'deal_with_collector_finish_task': self.deal_with_collector_finish_task,
'deal_with_learner_get_data': self.deal_with_learner_get_data,
'deal_with_learner_send_info': self.deal_with_learner_send_info,
'deal_with_learner_judge_finish': self.deal_with_learner_judge_finish,
'deal_with_learner_finish_task': self.deal_with_learner_finish_task,
'deal_with_increase_collector': self.deal_with_increase_collector,
'deal_with_decrease_collector': self.deal_with_decrease_collector,
}
self._logger, _ = build_logger(path='./{}/log'.format(self._exp_name), name='coordinator', need_tb=False)
self._interaction = CommCoordinator(coor_cfg, self._callback, self._logger)
self._learner_task_queue = Queue()
self._collector_task_queue = Queue()
self._commander = create_parallel_commander(cfg.main) # commander can access all the main config
self._commander_lock = LockContext(LockContextType.THREAD_LOCK)
# ############## Thread #####################
# Assign thread todo
# Produce thread todo
self._assign_collector_thread = Thread(
target=self._assign_collector_task, args=(), name='coordinator_assign_collector'
)
self._assign_learner_thread = Thread(
target=self._assign_learner_task, args=(), name='coordinator_assign_learner'
)
self._produce_collector_thread = Thread(
target=self._produce_collector_task, args=(), name='coordinator_produce_collector'
)
self._produce_learner_thread = Thread(
target=self._produce_learner_task, args=(), name='coordinator_produce_learner'
)
self._replay_buffer = {}
self._task_state = {} # str -> TaskState
self._historical_task = []
# TODO remove used data
# TODO load/save state_dict
self._end_flag = True
self._system_shutdown_flag = False
def _assign_collector_task(self) -> None:
r"""
Overview:
The function to be called in the assign_collector_task thread.
Will get an collector task from ``collector_task_queue`` and assign the task.
"""
while not self._end_flag:
time.sleep(0.01)
# get valid task, abandon timeout task
if self._collector_task_queue.empty():
continue
else:
collector_task, put_time = self._collector_task_queue.get()
start_retry_time = time.time()
max_retry_time = 0.3 * self._collector_task_timeout
while True:
# timeout or assigned to collector
get_time = time.time()
if get_time - put_time >= self._collector_task_timeout:
self.info(
'collector task({}) timeout: [{}, {}, {}/{}]'.format(
collector_task['task_id'], get_time, put_time, get_time - put_time,
self._collector_task_timeout
)
)
with self._commander_lock:
self._commander.notify_fail_collector_task(collector_task)
break
buffer_id = collector_task['buffer_id']
if buffer_id in self._replay_buffer:
if self._interaction.send_collector_task(collector_task):
self._record_task(collector_task)
self.info(
"collector_task({}) is successful to be assigned".format(collector_task['task_id'])
)
break
else:
self.info("collector_task({}) is failed to be assigned".format(collector_task['task_id']))
else:
self.info(
"collector_task({}) can't find proper buffer_id({})".format(
collector_task['task_id'], buffer_id
)
)
if time.time() - start_retry_time >= max_retry_time:
# reput into queue
self._collector_task_queue.put([collector_task, put_time])
self.info("collector task({}) reput into queue".format(collector_task['task_id']))
break
time.sleep(3)
def _assign_learner_task(self) -> None:
r"""
Overview:
The function to be called in the assign_learner_task thread.
Will take a learner task from learner_task_queue and assign the task.
"""
while not self._end_flag:
time.sleep(0.01)
if self._learner_task_queue.empty():
continue
else:
learner_task, put_time = self._learner_task_queue.get()
start_retry_time = time.time()
max_retry_time = 0.1 * self._learner_task_timeout
while True:
# timeout or assigned to learner
get_time = time.time()
if get_time - put_time >= self._learner_task_timeout:
self.info(
'learner task({}) timeout: [{}, {}, {}/{}]'.format(
learner_task['task_id'], get_time, put_time, get_time - put_time,
self._learner_task_timeout
)
)
with self._commander_lock:
self._commander.notify_fail_learner_task(learner_task)
break
if self._interaction.send_learner_task(learner_task):
self._record_task(learner_task)
# create replay_buffer
buffer_id = learner_task['buffer_id']
if buffer_id not in self._replay_buffer:
replay_buffer_cfg = learner_task.pop('replay_buffer_cfg')
self._replay_buffer[buffer_id] = create_buffer(replay_buffer_cfg, exp_name=self._exp_name)
self._replay_buffer[buffer_id].start()
self.info("replay_buffer({}) is created".format(buffer_id))
self.info("learner_task({}) is successful to be assigned".format(learner_task['task_id']))
break
else:
self.info("learner_task({}) is failed to be assigned".format(learner_task['task_id']))
if time.time() - start_retry_time >= max_retry_time:
# reput into queue
self._learner_task_queue.put([learner_task, put_time])
self.info("learner task({}) reput into queue".format(learner_task['task_id']))
break
time.sleep(3)
def _produce_collector_task(self) -> None:
r"""
Overview:
The function to be called in the ``produce_collector_task`` thread.
Will ask commander to produce a collector task, then put it into ``collector_task_queue``.
"""
while not self._end_flag:
time.sleep(0.01)
with self._commander_lock:
collector_task = self._commander.get_collector_task()
if collector_task is None:
continue
self.info("collector task({}) put into queue".format(collector_task['task_id']))
self._collector_task_queue.put([collector_task, time.time()])
def _produce_learner_task(self) -> None:
r"""
Overview:
The function to be called in the produce_learner_task thread.
Will produce a learner task and put it into the learner_task_queue.
"""
while not self._end_flag:
time.sleep(0.01)
with self._commander_lock:
learner_task = self._commander.get_learner_task()
if learner_task is None:
continue
self.info("learner task({}) put into queue".format(learner_task['task_id']))
self._learner_task_queue.put([learner_task, time.time()])
def state_dict(self) -> dict:
r"""
Overview:
Return empty state_dict.
"""
return {}
def load_state_dict(self, state_dict: dict) -> None:
r"""
Overview:
Pass when load state_dict.
"""
pass
def start(self) -> None:
r"""
Overview:
Start the coordinator, including lunching the interaction thread and the collector learner threads.
"""
self._end_flag = False
self._interaction.start()
self._produce_collector_thread.start()
self._assign_collector_thread.start()
self._produce_learner_thread.start()
self._assign_learner_thread.start()
def close(self) -> None:
r"""
Overview:
Close the coordinator, including closing the interaction thread, the collector learner threads and the \
buffers.
"""
if self._end_flag:
return
self._end_flag = True
time.sleep(1)
self._produce_collector_thread.join()
self._assign_collector_thread.join()
self._produce_learner_thread.join()
self._assign_learner_thread.join()
self._interaction.close()
# close replay buffer
replay_buffer_keys = list(self._replay_buffer.keys())
for k in replay_buffer_keys:
v = self._replay_buffer.pop(k)
v.close()
self.info('coordinator is closed')
def __del__(self) -> None:
r"""
Overview:
__del__ method will close the coordinator.
"""
self.close()
def deal_with_collector_send_data(self, task_id: str, buffer_id: str, data_id: str, data: dict) -> None:
r"""
Overview:
deal with the data send from collector
Arguments:
- task_id (:obj:`str`): the collector task_id
- buffer_id (:obj:`str`): the buffer_id
- data_id (:obj:`str`): the data_id
- data (:obj:`str`): the data to dealt with
"""
if task_id not in self._task_state:
self.error('collector task({}) not in self._task_state when send data, throw it'.format(task_id))
return
if buffer_id not in self._replay_buffer:
self.error(
"collector task({}) data({}) doesn't have proper buffer_id({})".format(task_id, data_id, buffer_id)
)
return
self._replay_buffer[buffer_id].push(data, -1)
self.info('collector task({}) send data({})'.format(task_id, data_id))
def deal_with_collector_judge_finish(self, task_id: str, data: dict) -> bool:
if task_id not in self._task_state:
self.error('collector task({}) not in self._task_state when send data, throw it'.format(task_id))
return False
with self._commander_lock:
collector_finish_flag = self._commander.judge_collector_finish(task_id, data)
if collector_finish_flag:
self.info('collector task({}) is finished'.format(task_id))
return collector_finish_flag
def deal_with_collector_finish_task(self, task_id: str, finished_task: dict) -> None:
r"""
Overview:
finish the collector task
Arguments:
- task_id (:obj:`str`): the collector task_id
- finished_task (:obj:`dict`): the finished_task
"""
if task_id not in self._task_state:
self.error('collector task({}) not in self._task_state when finish, throw it'.format(task_id))
return
# finish_task
with self._commander_lock:
# commander will judge whether the whole system is converged and shoule be shutdowned
self._system_shutdown_flag = self._commander.finish_collector_task(task_id, finished_task)
self._task_state.pop(task_id)
self._historical_task.append(task_id)
self.info('collector task({}) is finished'.format(task_id))
def deal_with_learner_get_data(self, task_id: str, buffer_id: str, batch_size: int,
cur_learner_iter: int) -> List[dict]:
r"""
Overview:
learner get the data from buffer
Arguments:
- task_id (:obj:`str`): the learner task_id
- buffer_id (:obj:`str`): the buffer_id
- batch_size (:obj:`int`): the batch_size to sample
- cur_learn_iter (:obj:`int`): the current learner iter num
"""
if task_id not in self._task_state:
self.error("learner task({}) get data doesn't have proper task_id".format(task_id))
raise RuntimeError(
"invalid learner task_id({}) for get data, valid learner_id is {}".format(
task_id, self._task_state.keys()
)
)
if buffer_id not in self._replay_buffer:
self.error("learner task({}) get data doesn't have proper buffer_id({})".format(task_id, buffer_id))
return
self.info("learner task({}) get data".format(task_id))
return self._replay_buffer[buffer_id].sample(batch_size, cur_learner_iter)
def deal_with_learner_send_info(self, task_id: str, buffer_id: str, info: dict) -> None:
r"""
Overview:
the learner send the info and update the priority in buffer
Arguments:
- task_id (:obj:`str`): the learner task id
- buffer_id (:obj:`str`): the buffer_id of buffer to add info to
- info (:obj:`dict`): the info to add
"""
if task_id not in self._task_state:
self.error("learner task({}) send info doesn't have proper task_id".format(task_id))
raise RuntimeError(
"invalid learner task_id({}) for send info, valid learner_id is {}".format(
task_id, self._task_state.keys()
)
)
if buffer_id not in self._replay_buffer:
self.error("learner task({}) send info doesn't have proper buffer_id({})".format(task_id, buffer_id))
return
self._replay_buffer[buffer_id].update(info['priority_info'])
with self._commander_lock:
self._commander.update_learner_info(task_id, info)
self.info("learner task({}) send info".format(task_id))
def deal_with_learner_judge_finish(self, task_id: str, info: dict) -> bool:
if task_id not in self._task_state:
self.error("learner task({}) finish task doesn't have proper task_id".format(task_id))
raise RuntimeError(
"invalid learner task_id({}) for finish task, valid learner_id is {}".format(
task_id, self._task_state.keys()
)
)
with self._commander_lock:
learner_finish_flag = self._commander.judge_learner_finish(task_id, info)
if learner_finish_flag:
self.info('learner task({}) is finished'.format(task_id))
return learner_finish_flag
def deal_with_learner_finish_task(self, task_id: str, finished_task: dict) -> None:
r"""
Overview:
finish the learner task, close the corresponding buffer
Arguments:
- task_id (:obj:`str`): the learner task_id
- finished_task (:obj:`dict`): the dict of task to finish
"""
if task_id not in self._task_state:
self.error("learner task({}) finish task doesn't have proper task_id".format(task_id))
raise RuntimeError(
"invalid learner task_id({}) for finish task, valid learner_id is {}".format(
task_id, self._task_state.keys()
)
)
with self._commander_lock:
buffer_id = self._commander.finish_learner_task(task_id, finished_task)
self._task_state.pop(task_id)
self._historical_task.append(task_id)
self.info("learner task({}) finish".format(task_id))
# delete replay buffer
if buffer_id is not None:
replay_buffer = self._replay_buffer.pop(buffer_id)
replay_buffer.close()
self.info('replay_buffer({}) is closed'.format(buffer_id))
def deal_with_increase_collector(self):
r""""
Overview:
Increase task space when a new collector has added dynamically.
"""
with self._commander_lock:
self._commander.increase_collector_task_space()
def deal_with_decrease_collector(self):
r""""
Overview:
Decrease task space when a new collector has removed dynamically.
"""
with self._commander_lock:
self._commander.decrease_collector_task_space()
def info(self, s: str) -> None:
r"""
Overview:
Return the info
Arguments:
- s (:obj:`str`): the string to print in info
"""
self._logger.info('[Coordinator({})]: {}'.format(self._coordinator_uid, s))
def error(self, s: str) -> None:
r"""
Overview:
Return the error
Arguments:
- s (:obj:`str`): the error info to print
"""
self._logger.error('[Coordinator({})]: {}'.format(self._coordinator_uid, s))
def _record_task(self, task: dict):
r"""
Overview:
Create task state to record task
Arguments:
- task (:obj:`dict`): the task dict
"""
self._task_state[task['task_id']] = TaskState(task['task_id'])
@property
def system_shutdown_flag(self) -> bool:
r"""
Overview:
Return whether the system is shutdown
Returns:
- system_shutdown_flag (:obj:`bool`): whether the system is shutdown
"""
return self._system_shutdown_flag