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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 (
FileOpenerIterDataPipe as FileOpener,
)
from torch.utils.data.datapipes.iter.grouping import (
BatcherIterDataPipe as Batcher,
GrouperIterDataPipe as Grouper,
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.sharding import (
ShardingFilterIterDataPipe as ShardingFilter,
)
from torch.utils.data.datapipes.iter.streamreader import (
StreamReaderIterDataPipe as StreamReader,
)
from torch.utils.data.datapipes.iter.utils import (
IterableWrapperIterDataPipe as IterableWrapper,
)
__all__ = [
"Batcher",
"Collator",
"Concater",
"Demultiplexer",
"FileLister",
"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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