# Copyright 2025 Amazon.com Inc and/or its affiliates # # 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 abc import abstractmethod from collections.abc import Sized from omegaconf import DictConfig from torch.utils.data import Sampler from verl import DataProto class AbstractSampler(Sampler[int]): """Abstract interface for custom samplers.""" @abstractmethod def __init__( self, data_source: Sized, data_config: DictConfig, ): pass class AbstractCurriculumSampler(AbstractSampler): """Experimental interface for curriculum learning samplers.""" @abstractmethod def update(self, batch: DataProto) -> None: pass