ΑiSrSSKrSSKrSSKrSSKrSSKJr /rSr \ S-r Sr \ S-r Sr SS jr\"S S S S S9S5r\"S S S S S9S5r\"S SS S S9SSj5r\"S SS S S9SSj5r\"S SS S S9S5rg)a, CIFAR dataset. This module will download dataset from https://dataset.bj.bcebos.com/cifar/cifar-10-python.tar.gz and https://dataset.bj.bcebos.com/cifar/cifar-100-python.tar.gz, parse train/test set into paddle reader creators. The CIFAR-10 dataset consists of 60000 32x32 color images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The CIFAR-100 dataset is just like the CIFAR-10, except it has 100 classes containing 600 images each. There are 500 training images and 100 testing images per class. N) deprecatedz$https://dataset.bj.bcebos.com/cifar/zcifar-10-python.tar.gz c58f30108f718f92721af3b95e74349azcifar-100-python.tar.gz eb9058c3a382ffc7106e4002c42a8d85c&^^^^SmUUUU4SjnU$)Nc3# USnURSURSS55nUce[X5H4up4US- R[R5[ U54v M6 g7f)Nsdataslabelss fine_labelsgo@)getzipastypenumpyfloat32int)batchdatalabelssamplelabels T/var/www/html/banglarbhumi/venv/lib/python3.13/site-packages/paddle/dataset/cifar.py read_batch"reader_creator..read_batch0shW~9eii&EF!!! .MFE>))%--8#e*D D/sA1A3c3># [R"TSS9nU4SjU5nUH7n[R"UR U5SS9nT"U5ShvN M9 SSS5 T(dgMqN!,(df  N=f7f)Nr)modec3`># UH#nTUR;dMURv M% g7f)N)name).0 each_itemsub_names r 1reader_creator..reader..:s*%& 9>>1#INN%&s..bytes)encoding)tarfileopenpickleload extractfile)fnamesrrcyclefilenamerrs rreaderreader_creator..reader7szhS1Q%& "D"KK d(;gNE)%000"2121s/B AA8A6A8$B 6A88 BB )r*rr)r+rs``` @rreader_creatorr./sE Mz2.0.0zpaddle.vision.datasets.Cifar100z>Please use new dataset API which supports paddle.io.DataLoader)since update_tolevelreasonc|[[RRR [ S[ 5S5$)z CIFAR-100 training set creator. It returns a reader creator, each sample in the reader is image pixels in [0, 1] and label in [0, 99]. :return: Training reader creator :rtype: callable cifartrainr.paddledatasetcommondownload CIFAR100_URL CIFAR100_MD5r-r/rtrain100r?Js0 &&|WlK r/c|[[RRR [ S[ 5S5$)z CIFAR-100 test set creator. It returns a reader creator, each sample in the reader is image pixels in [0, 1] and label in [0, 99]. :return: Test reader creator. :rtype: callable r6testr8r-r/rtest100rB`s0 &&|WlK r/zpaddle.vision.datasets.Cifar10cz[[RRR [ S[ 5SUS9$)z CIFAR-10 training set creator. It returns a reader creator, each sample in the reader is image pixels in [0, 1] and label in [0, 9]. :param cycle: whether to cycle through the dataset :type cycle: bool :return: Training reader creator :rtype: callable r6 data_batchr)r.r9r:r;r< CIFAR10_URL CIFAR10_MD5rEs rtrain10rIv3$ &&{G[I r/cz[[RRR [ S[ 5SUS9$)z CIFAR-10 test set creator. It returns a reader creator, each sample in the reader is image pixels in [0, 1] and label in [0, 9]. :param cycle: whether to cycle through the dataset :type cycle: bool :return: Test reader creator. :rtype: callable r6 test_batchrErFrEs rtest10rMrJr/c[RRR[S[ 5 [RRR[ S[5 g)Nr6)r9r:r;r<rGrHr=r>r-r/rfetchrOs< NN"";E NN""<,Gr/)F)__doc__r$r"r paddle.dataset.commonr9 paddle.utilsr__all__ URL_PREFIXrGrHr=r>r.r?rBrIrMrOr-r/rrUs  #  3 33 0 55 1 6 / K      / K      . K    & . K    & . K  H  Hr/