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# 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']
@dataclass
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
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