MapToIterConverter

class torchdata.datapipes.iter.MapToIterConverter(datapipe: MapDataPipe, indices: Optional[List] = None)

Convert a MapDataPipe to an IterDataPipe (functional name: to_iter_datapipe). It uses indices to iterate through the MapDataPipe, defaults to range(len(mapdatapipe)) if not given.

For the opposite converter, use IterToMapConverter.

Parameters:

• datapipe – source MapDataPipe with data

• indices – optional list of indices that will dictate how the datapipe will be iterated over

Example

>>> from torchdata.datapipes.map import SequenceWrapper
>>> source_dp = SequenceWrapper(range(10))
>>> iter_dp = source_dp.to_iter_datapipe()
>>> list(iter_dp)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> source_dp2 = SequenceWrapper({'a': 1, 'b': 2, 'c': 3})
>>> iter_dp2 = source_dp2.to_iter_datapipe(indices=['a', 'b', 'c'])
>>> list(iter_dp2)
[1, 2, 3]