U <c" @sbddlmZddlmZmZddlmZmZmZm Z dgZ e dZ edGdddeeZ dS) )functional_datapipe) MapDataPipe DataChunk)ListOptionalSizedTypeVarBatcherMapDataPipeTbatchcsxeZdZUdZeed<eed<eed<eeed<de fee eeddfd d Z e d d d Z ed ddZ ZS)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_lastlengthFN)r r rreturncs<|dkstdt||_||_||_d|_||_dS)Nrz+Batch size is required to be larger than 0!)AssertionErrorsuper__init__r r rr wrapper_class)selfr r rr __class__K/tmp/pip-unpacked-wheel-gikjz4vx/torch/utils/data/datapipes/map/grouping.pyr#s zBatcherMapDataPipe.__init__)rcCsg}t||j|d|j}z&|D]}||j|q$||WStk r|jstt|dkrt||YStd|dYnXdS)NrzIndex z is out of bound.)ranger appendr r IndexErrorrlen)rindexr indicesirrr __getitem__1s zBatcherMapDataPipe.__getitem__cCsp|jdk r|jSt|jtrX|jr6t|j|j|_nt|j|jd|j|_|jStdt |j dS)Nrz%{} instance doesn't have valid length) r isinstancer rrrr TypeErrorformattype__name__)rrrr__len__>s  zBatcherMapDataPipe.__len__)r' __module__ __qualname____doc__r__annotations__intboolrrr rr"r( __classcell__rrrrr s   N) Z%torch.utils.data.datapipes._decoratorrZ#torch.utils.data.datapipes.datapiperrtypingrrrr__all__r r rrrrs