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- # TODO(VitalyFedyunin): Rearranging this imports leads to crash,
- # need to cleanup dependencies and fix it
- from torch.utils.data.sampler import (
- BatchSampler,
- RandomSampler,
- Sampler,
- SequentialSampler,
- SubsetRandomSampler,
- WeightedRandomSampler,
- )
- from torch.utils.data.dataset import (
- ChainDataset,
- ConcatDataset,
- Dataset,
- IterableDataset,
- Subset,
- TensorDataset,
- random_split,
- )
- from torch.utils.data.datapipes.datapipe import (
- DFIterDataPipe,
- DataChunk,
- IterDataPipe,
- MapDataPipe,
- )
- from torch.utils.data.dataloader import (
- DataLoader,
- _DatasetKind,
- get_worker_info,
- default_collate,
- default_convert,
- )
- from torch.utils.data.distributed import DistributedSampler
- from torch.utils.data.datapipes._decorator import (
- argument_validation,
- functional_datapipe,
- guaranteed_datapipes_determinism,
- non_deterministic,
- runtime_validation,
- runtime_validation_disabled,
- )
- __all__ = ['BatchSampler',
- 'ChainDataset',
- 'ConcatDataset',
- 'DFIterDataPipe',
- 'DataChunk',
- 'DataLoader',
- 'Dataset',
- 'DistributedSampler',
- 'IterDataPipe',
- 'IterableDataset',
- 'MapDataPipe',
- 'RandomSampler',
- 'Sampler',
- 'SequentialSampler',
- 'Subset',
- 'SubsetRandomSampler',
- 'TensorDataset',
- 'WeightedRandomSampler',
- '_DatasetKind',
- 'argument_validation',
- 'default_collate',
- 'default_convert',
- 'functional_datapipe',
- 'get_worker_info',
- 'guaranteed_datapipes_determinism',
- 'non_deterministic',
- 'random_split',
- 'runtime_validation',
- 'runtime_validation_disabled']
- # Please keep this list sorted
- assert __all__ == sorted(__all__)
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