# Copyright The PyTorch 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, Callable, Dict, List, Optional, Tuple, Union from torchmetrics import Metric as __Metric from torchmetrics import MetricCollection as __MetricCollection from pytorch_lightning.utilities.distributed import rank_zero_warn class Metric(__Metric): r""" This implementation refers to :class:`~torchmetrics.Metric`. .. warning:: This metric is deprecated, use ``torchmetrics.Metric``. Will be removed in v1.5.0. """ def __init__( self, compute_on_step: bool = True, dist_sync_on_step: bool = False, process_group: Optional[Any] = None, dist_sync_fn: Callable = None, ): rank_zero_warn( "This `Metric` was deprecated since v1.3.0 in favor of `torchmetrics.Metric`." " It will be removed in v1.5.0", DeprecationWarning ) super(Metric, self).__init__( compute_on_step=compute_on_step, dist_sync_on_step=dist_sync_on_step, process_group=process_group, dist_sync_fn=dist_sync_fn, ) class MetricCollection(__MetricCollection): r""" This implementation refers to :class:`~torchmetrics.MetricCollection`. .. warning:: This metric is deprecated, use ``torchmetrics.MetricCollection``. Will be removed in v1.5.0. """ def __init__(self, metrics: Union[List[Metric], Tuple[Metric], Dict[str, Metric]]): rank_zero_warn( "This `MetricCollection` was deprecated since v1.3.0 in favor of `torchmetrics.MetricCollection`." " It will be removed in v1.5.0", DeprecationWarning ) super().__init__(metrics=metrics)