x-jVdZddlZddlZddlZddlZddlmZgZdZ e dzZ dZ e dzZ dZ dd Zed d d ddZed d d ddZed dd dddZed dd dddZed dd ddZdS)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$https://dataset.bj.bcebos.com/cifar/zcifar-10-python.tar.gz c58f30108f718f92721af3b95e74349azcifar-100-python.tar.gz eb9058c3a382ffc7106e4002c42a8d85Fc$dfd}|S)Nc3K|d}|d|dd}|Jt||D]8\}}|dz tjt |fV9dS)Nsdataslabelss fine_labelsgo@)getzipastypenumpyfloat32int)batchdatalabelssamplelabels T/var/www/html/banglarbhumi/venv/lib/python3.11/site-packages/paddle/dataset/cifar.py read_batchz"reader_creator..read_batch0sW~9eii&E&EFF!!! v.. E EMFEE>))%-88#e**D D D D D E Ec3 K tjd5}fd|D}|D]<}tj||d}|Ed{V= dddn #1swxYwYsdS)NTr)modec38K|]}|jv |jVdS)N)name).0 each_itemsub_names r z1reader_creator..reader..:s>!9>11N1111rbytes)encoding)tarfileopenpickleload extractfile)fnamesrrcyclefilenamerrs rreaderzreader_creator..reader7s  hS111 1Q%& "11D"K d(;(;gNNNE)z%00000000001 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1  sAA66A:=A:)r)rr(r*rs``` @rreader_creatorr,/sGEEE Mrz2.0.0zpaddle.vision.datasets.Cifar100z>Please use new dataset API which supports paddle.io.DataLoader)since update_tolevelreasonc~ttjjt dt dS)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+rrtrain100r<Js3 &&|WlKK  rc~ttjjt dt dS)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 r3testr5r+rrtest100r?`s3 &&|WlKK  rzpaddle.vision.datasets.Cifar10cttjjt dt d|S)a 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 r3 data_batchr(r,r6r7r8r9 CIFAR10_URL CIFAR10_MD5rBs rtrain10rFv;$ &&{G[II   rcttjjt dt d|S)a 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 r3 test_batchrBrCrBs rtest10rJrGrctjjtdt tjjt dtdS)Nr3)r6r7r8r9rDrEr:r;r+rrfetchrLsD N"";EEE N""<,GGGGGr)F)__doc__r#r!r paddle.dataset.commonr6 paddle.utilsr__all__ URL_PREFIXrDrEr:r;r,r<r?rFrJrLr+rrrRs   ######  3 33 0 55 1 6  / K        / K        . K    &  . K    &  . K  HH  HHHr