https://www.cs.toronto.edu/~kriz/cifar.html and parse train/test set into
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 colour images in 10 classes,
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@@ -39,7 +38,7 @@ from six.moves import cPickle as pickle
__all__=['train100','test100','train10','test10']
URL_PREFIX='https://www.cs.toronto.edu/~kriz/'
URL_PREFIX='https://dataset.bj.bcebos.com/cifar/'
CIFAR10_URL=URL_PREFIX+'cifar-10-python.tar.gz'
CIFAR10_MD5='c58f30108f718f92721af3b95e74349a'
CIFAR100_URL=URL_PREFIX+'cifar-100-python.tar.gz'
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@@ -95,7 +94,7 @@ def test100():
CIFAR-100 test set creator.
It returns a reader creator, each sample in the reader is image pixels in