ray/rllib/examples/env/memory_leaking_env.py

35 lines
852 B
Python

import logging
import uuid
from ray.rllib.examples.env.random_env import RandomEnv
from ray.rllib.utils.annotations import override
logger = logging.getLogger(__name__)
class MemoryLeakingEnv(RandomEnv):
"""An env that leaks very little memory.
Useful for proving that our memory-leak tests can catch the
slightest leaks.
"""
def __init__(self, config=None):
super().__init__(config)
self._leak = {}
self._steps_after_reset = 0
@override(RandomEnv)
def reset(self):
self._steps_after_reset = 0
return super().reset()
@override(RandomEnv)
def step(self, action):
self._steps_after_reset += 1
# Only leak once an episode.
if self._steps_after_reset == 2:
self._leak[uuid.uuid4().hex.upper()] = 1
return super().step(action)