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from torch.utils.data.datapipes.iter.utils import (
IterableWrapperIterDataPipe as IterableWrapper,
)
from torch.utils.data.datapipes.iter.callable import (
CollatorIterDataPipe as Collator,
MapperIterDataPipe as Mapper,
)
from torch.utils.data.datapipes.iter.combinatorics import (
SamplerIterDataPipe as Sampler,
ShufflerIterDataPipe as Shuffler,
)
from torch.utils.data.datapipes.iter.combining import (
ConcaterIterDataPipe as Concater,
DemultiplexerIterDataPipe as Demultiplexer,
ForkerIterDataPipe as Forker,
MultiplexerIterDataPipe as Multiplexer,
ZipperIterDataPipe as Zipper,
)
from torch.utils.data.datapipes.iter.filelister import (
FileListerIterDataPipe as FileLister,
)
from torch.utils.data.datapipes.iter.fileopener import (
FileLoaderIterDataPipe as FileLoader,
FileOpenerIterDataPipe as FileOpener,
)
from torch.utils.data.datapipes.iter.grouping import (
BatcherIterDataPipe as Batcher,
GrouperIterDataPipe as Grouper,
ShardingFilterIterDataPipe as ShardingFilter,
UnBatcherIterDataPipe as UnBatcher,
)
from torch.utils.data.datapipes.iter.routeddecoder import (
RoutedDecoderIterDataPipe as RoutedDecoder,
)
from torch.utils.data.datapipes.iter.selecting import (
FilterIterDataPipe as Filter,
)
from torch.utils.data.datapipes.iter.streamreader import (
StreamReaderIterDataPipe as StreamReader,
)
__all__ = ['Batcher',
'Collator',
'Concater',
'Demultiplexer',
'FileLister',
'FileLoader',
'FileOpener',
'Filter',
'Forker',
'Grouper',
'IterableWrapper',
'Mapper',
'Multiplexer',
'RoutedDecoder',
'Sampler',
'ShardingFilter',
'Shuffler',
'StreamReader',
'UnBatcher',
'Zipper']
# Please keep this list sorted
assert __all__ == sorted(__all__)
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