make SchedulerOptions specifiable by the user

Summary: Allow users to specify their own SchedulerOptions when submitting AxSweeps

Reviewed By: lena-kashtelyan

Differential Revision: D30139748

fbshipit-source-id: f6a8a787de0a2bcd921c5a2fd4a78c7e3f8a2632

ax/service/scheduler.py

@@ -179,14 +179,15 @@ class SchedulerOptions:
             the minimum of ``self.poll_available_capacity()`` and the number
             of generator runs that the generation strategy is able to produce
             without more data or reaching its allowed max paralellism limit.
+        debug_log_run_metadata: Whether to log run_metadata for debugging purposes.
         early_stopping_strategy: A ``BaseEarlyStoppingStrategy`` that determines
             whether a trial should be stopped given the current state of
             the experiment. Used in ``should_stop_trials_early``.
         suppress_storage_errors_after_retries: Whether to fully suppress SQL
             storage-related errors if encounted, after retrying the call
             multiple times. Only use if SQL storage is not important for the given
             use case, since this will only log, but not raise, an exception if
-            its encountered while saving to DB or loading from it.
+            it's encountered while saving to DB or loading from it.
     """
 
     trial_type: Type[BaseTrial] = Trial
@@ -1081,7 +1082,6 @@ def _complete_optimization(self, num_preexisting_trials: int) -> Dict[str, Any]:
         """Conclude optimization with waiting for anymore running trials and
         return final results via `wait_for_completed_trials_and_report_results`.
         """
-        print("HERE!!")
         self._record_optimization_complete_message()
         res = self.wait_for_completed_trials_and_report_results()
         # raise an error if the failure rate exceeds tolerance at the end of the sweep