# Copyright The Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Any from torchmetrics.metric import Metric class _ClassificationTaskWrapper(Metric): """Base class for wrapper metrics for classification tasks.""" def update(self, *args: Any, **kwargs: Any) -> None: """Update metric state.""" raise NotImplementedError( f"{self.__class__.__name__} metric does not have a global `update` method. Use the task specific metric." ) def compute(self) -> None: """Compute metric.""" raise NotImplementedError( f"{self.__class__.__name__} metric does not have a global `compute` method. Use the task specific metric." )