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Fix optimizer monitor

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This commit is contained in:
allegroai 2020-09-29 19:28:42 +03:00
parent be099f42f9
commit 295b33857c
2 changed files with 8 additions and 8 deletions
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10
trains/automation/optimization.py
View File

@ -1026,17 +1026,17 @@ class HyperParameterOptimizer(object):
self._thread_reporter.start()
return True
def stop(self, timeout=None, flush_reporter=True):
def stop(self, timeout=None, wait_for_reporter=True):
# type: (Optional[float], Optional[bool]) -> ()
"""
Stop the HyperParameterOptimizer controller and the optimization thread.
:param float timeout: Wait timeout for the optimization thread to exit (minutes).
The default is ``None``, indicating do not wait terminate immediately.
:param flush_reporter: Wait for reporter to flush data.
:param wait_for_reporter: Wait for reporter to flush data.
"""
if not self._thread or not self._stop_event or not self.optimizer:
if self._thread_reporter and flush_reporter:
if self._thread_reporter and wait_for_reporter:
self._thread_reporter.join()
return
@ -1054,7 +1054,7 @@ class HyperParameterOptimizer(object):
# clear thread
self._thread = None
if flush_reporter:
if wait_for_reporter:
# wait for reporter to flush
self._thread_reporter.join()
@ -1311,7 +1311,7 @@ class HyperParameterOptimizer(object):
# if we should leave, stop everything now.
if timeout < 0:
# we should leave
self.stop(flush_reporter=False)
self.stop(wait_for_reporter=False)
return
if task_logger and counter:
counter += 1

6
trains/automation/optuna/optuna.py
View File

@ -45,12 +45,11 @@ class OptunaObjective(object):
current_job.launch(self.queue_name)
iteration_value = None
is_pending = True
while not current_job.is_stopped():
while True:
if is_pending and not current_job.is_pending():
is_pending = False
self.optimizer.budget.jobs.update(current_job.task_id(), 1.)
if not is_pending:
self.optimizer.update_budget_per_job(current_job)
# noinspection PyProtectedMember
iteration_value = self.optimizer._objective_metric.get_current_raw_objective(current_job)
@ -69,7 +68,8 @@ class OptunaObjective(object):
if self.max_iteration_per_job and iteration_value[0] >= self.max_iteration_per_job:
current_job.abort()
break
if not self.optimizer.monitor_job(current_job):
break
sleep(self.sleep_interval)
# noinspection PyProtectedMember