Skip to content

Fix numpy warning when stats don't exist #3251

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jan 18, 2020
Merged

Fix numpy warning when stats don't exist #3251

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 11 additions & 5 deletions ml-agents/mlagents/trainers/stats.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,10 @@ class StatsSummary(NamedTuple):
std: float
num: int

@staticmethod
def empty() -> "StatsSummary":
return StatsSummary(0.0, 0.0, 0)


class StatsWriter(abc.ABC):
"""
Expand Down Expand Up @@ -184,8 +188,10 @@ def get_stats_summaries(self, key: str) -> StatsSummary:
:param key: The type of statistic, e.g. Environment/Reward.
:returns: A StatsSummary NamedTuple containing (mean, std, count).
"""
return StatsSummary(
mean=np.mean(StatsReporter.stats_dict[self.category][key]),
std=np.std(StatsReporter.stats_dict[self.category][key]),
num=len(StatsReporter.stats_dict[self.category][key]),
)
if len(StatsReporter.stats_dict[self.category][key]) > 0:
return StatsSummary(
mean=np.mean(StatsReporter.stats_dict[self.category][key]),
std=np.std(StatsReporter.stats_dict[self.category][key]),
num=len(StatsReporter.stats_dict[self.category][key]),
)
return StatsSummary.empty()