Open r-remus opened 3 years ago
+1 For now I silence the stdout stream as follows
tracker = ImpactTracker(f'./impact_tracker/{model_name}')
for hndlr in tracker.logger.handlers:
if type(hndlr) == logging.StreamHandler:
hndlr.setLevel(logging.ERROR)
tracker.logger.propagate = False
I'm using
absl.logging
to log. It looks like experiment-impact-tracker does, too. When I set my log-level tologging.set_verbosity(logging.INFO)
, my logging gets flooded by experiment-impact-tracker by logs likeINFO:Datapoint timestamp took 3.1948089599609375e-05 seconds
.Is there a way to easily lower experiment-impact-tracker's log-level or suppress these very fine-grained log messages?