Source code for ray.tune.stopper.maximum_iteration
from collections import defaultdict
from typing import Dict
from ray.tune.stopper.stopper import Stopper
from ray.util.annotations import PublicAPI
[docs]
@PublicAPI
class MaximumIterationStopper(Stopper):
"""Stop trials after reaching a maximum number of iterations
Args:
max_iter: Number of iterations before stopping a trial.
"""
def __init__(self, max_iter: int):
self._max_iter = max_iter
self._iter = defaultdict(lambda: 0)
def __call__(self, trial_id: str, result: Dict):
self._iter[trial_id] += 1
return self._iter[trial_id] >= self._max_iter
def stop_all(self):
return False