Header¶
- class torchdata.datapipes.iter.Header(source_datapipe: IterDataPipe[T_co], limit: int = 10)¶
Yields elements from the source DataPipe from the start, up to the specfied limit (functional name:
header
).If you would like to manually set the length of a DataPipe to a certain value; we recommend you to use
LengthSetter
.- Parameters:
source_datapipe – the DataPipe from which elements will be yielded
limit – the number of elements to yield before stopping
Example
>>> from torchdata.datapipes.iter import IterableWrapper >>> dp = IterableWrapper(range(10)) >>> header_dp = dp.header(3) >>> list(header_dp) [0, 1, 2]