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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from ..reporter import DictSummary
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from .utils import get_trigger
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class CompareValueTrigger():
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"""Trigger invoked when key value getting bigger or lower than before.
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Args:
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key (str) : Key of value.
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compare_fn ((float, float) -> bool) : Function to compare the values.
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trigger (tuple(int, str)) : Trigger that decide the comparison interval.
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"""
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def __init__(self, key, compare_fn, trigger=(1, "epoch")):
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self._key = key
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self._best_value = None
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self._interval_trigger = get_trigger(trigger)
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self._init_summary()
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self._compare_fn = compare_fn
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def __call__(self, trainer):
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"""Get value related to the key and compare with current value."""
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observation = trainer.observation
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summary = self._summary
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key = self._key
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if key in observation:
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summary.add({key: observation[key]})
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if not self._interval_trigger(trainer):
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return False
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stats = summary.compute_mean()
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value = float(stats[key]) # copy to CPU
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self._init_summary()
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if self._best_value is None:
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# initialize best value
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self._best_value = value
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return False
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elif self._compare_fn(self._best_value, value):
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return True
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else:
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self._best_value = value
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return False
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def _init_summary(self):
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self._summary = DictSummary()
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