| # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # 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 dataclasses import dataclass | |
| from typing import Any, Optional | |
| from omegaconf import MISSING | |
| __all__ = ['DataLoaderConfig'] | |
| class DataLoaderConfig: | |
| """ | |
| Configuration of PyTorch DataLoader. | |
| It is not derived from Config as it is not a NeMo object (and in particular it doesn't need a name). | |
| ..note: | |
| For the details on the function/meanings of the arguments, please refer to: | |
| https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader | |
| """ | |
| batch_size: int = MISSING | |
| shuffle: bool = False | |
| sampler: Optional[Any] = None | |
| batch_sampler: Optional[Any] = None | |
| num_workers: int = 0 | |
| collate_fn: Optional[Any] = None | |
| pin_memory: bool = False | |
| drop_last: bool = False | |
| timeout: int = 0 | |
| worker_init_fn: Optional[Any] = None | |
| multiprocessing_context: Optional[Any] = None | |