Q/j ddlmZmZmZmZddlmZddlmZm Z dgZ edZ edGdde eZ y) )ListSizedTypeTypeVar)functional_datapipe) DataChunk MapDataPipeBatcherMapDataPipe_Tbatchc eZdZUdZeed<eed<eed<defdee dedede eddf fd Z defd Z defd Z xZS) r a Create mini-batches of data (functional name: ``batch``). An outer dimension will be added as ``batch_size`` if ``drop_last`` is set to ``True``, or ``length % batch_size`` for the last batch if ``drop_last`` is set to ``False``. Args: datapipe: Iterable DataPipe being batched batch_size: The size of each batch drop_last: Option to drop the last batch if it's not full Example: >>> # xdoctest: +SKIP >>> from torchdata.datapipes.map import SequenceWrapper >>> dp = SequenceWrapper(range(10)) >>> batch_dp = dp.batch(batch_size=2) >>> list(batch_dp) [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9]] datapipe batch_size drop_lastF wrapper_classreturnNcr|dkDsJdt|||_||_||_||_y)Nrz+Batch size is required to be larger than 0!)super__init__rrrr)selfrrrr __class__s j/root/repos/pocs/video-evals/.venv/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.pyrzBatcherMapDataPipe.__init__(s?A~LLL~   $"*chg}t||jz|dz|jz} |D] }|j|j|"|j |S#t $rE}|j s$t|dkDr|j |cYd}~St d|d|d}~wwxYw)NrzIndex z is out of bound.)rangerappendrr IndexErrorrlen)rindexr indicesies r __getitem__zBatcherMapDataPipe.__getitem__6s/%!)t1NO K / T]]1-. /%%e, , K>>c%j1n))%00 6%0A!BCJ  Ks#5A## B1,*B,B1B,,B1c8t|jtr`|jr"t |j|j zSt |j|j zdz |j zSt t|jd)Nrz# instance doesn't have valid length) isinstancerrrrr TypeErrortype__name__)rs r__len__zBatcherMapDataPipe.__len__Css dmmU +~~4==)T__<<DMM*T__r7sN--EF  T]W;YY/;Y;Yr