be289129ad
Signed-off-by: Tomasz Kornuta <tkornuta@nvidia.com>
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
# Copyright (c) 2020 NVIDIA. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from dataclasses import dataclass
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from typing import Any, Optional
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from omegaconf import MISSING
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__all__ = ['DataLoaderConfig']
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@dataclass
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class DataLoaderConfig:
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"""
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Configuration of PyTorch DataLoader.
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It is not derived from Config as it is not a NeMo object (and in particular it doesn't need a name).
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..note:
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For the details on the function/meanings of the arguments, please refer to:
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https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader
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"""
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batch_size: int = MISSING
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shuffle: bool = False
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sampler: Optional[Any] = None
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batch_sampler: Optional[Any] = None
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num_workers: int = 0
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collate_fn: Optional[Any] = None
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pin_memory: bool = False
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drop_last: bool = False
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timeout: int = 0
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worker_init_fn: Optional[Any] = None
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multiprocessing_context: Optional[Any] = None
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