Skip to content

Don't try/except for control flow #4251

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.

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
Jul 20, 2020
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
18 changes: 7 additions & 11 deletions ml-agents/mlagents/trainers/ghost/trainer.py
Original file line number Diff line number Diff line change
@@ -1,7 +1,8 @@
# # Unity ML-Agents Toolkit
# ## ML-Agent Learning (Ghost Trainer)

from typing import Deque, Dict, List, cast
from collections import defaultdict
from typing import Deque, Dict, DefaultDict, List, cast

import numpy as np

Expand Down Expand Up @@ -68,9 +69,9 @@ def __init__(
self._internal_trajectory_queues: Dict[str, AgentManagerQueue[Trajectory]] = {}
self._internal_policy_queues: Dict[str, AgentManagerQueue[Policy]] = {}

self._team_to_name_to_policy_queue: Dict[
self._team_to_name_to_policy_queue: DefaultDict[
int, Dict[str, AgentManagerQueue[Policy]]
] = {}
] = defaultdict(dict)

self._name_to_parsed_behavior_id: Dict[str, BehaviorIdentifiers] = {}

Expand Down Expand Up @@ -413,14 +414,9 @@ def publish_policy_queue(self, policy_queue: AgentManagerQueue[Policy]) -> None:
"""
super().publish_policy_queue(policy_queue)
parsed_behavior_id = self._name_to_parsed_behavior_id[policy_queue.behavior_id]
try:
self._team_to_name_to_policy_queue[parsed_behavior_id.team_id][
parsed_behavior_id.brain_name
] = policy_queue
except KeyError:
self._team_to_name_to_policy_queue[parsed_behavior_id.team_id] = {
parsed_behavior_id.brain_name: policy_queue
}
self._team_to_name_to_policy_queue[parsed_behavior_id.team_id][
parsed_behavior_id.brain_name
] = policy_queue
if parsed_behavior_id.team_id == self.wrapped_trainer_team:
# With a future multiagent trainer, this will be indexed by 'role'
internal_policy_queue: AgentManagerQueue[Policy] = AgentManagerQueue(
Expand Down
4 changes: 2 additions & 2 deletions ml-agents/mlagents/trainers/trainer_controller.py
Original file line number Diff line number Diff line change
Expand Up @@ -124,9 +124,9 @@ def _create_trainer_and_manager(
parsed_behavior_id = BehaviorIdentifiers.from_name_behavior_id(name_behavior_id)
brain_name = parsed_behavior_id.brain_name
trainerthread = None
try:
if brain_name in self.trainers:
trainer = self.trainers[brain_name]
except KeyError:
else:
trainer = self.trainer_factory.generate(brain_name)
self.trainers[brain_name] = trainer
if trainer.threaded:
Expand Down