18 lines
767 B
Python
18 lines
767 B
Python
from torchvision import datasets, transforms
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from torch import tensor, long
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def CIFAR100(data_path):
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channel = 3
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im_size = (32, 32)
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num_classes = 100
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mean = [0.5071, 0.4865, 0.4409]
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std = [0.2673, 0.2564, 0.2762]
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transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize(mean=mean, std=std)])
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dst_train = datasets.CIFAR100(data_path, train=True, download=True, transform=transform)
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dst_test = datasets.CIFAR100(data_path, train=False, download=True, transform=transform)
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class_names = dst_train.classes
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dst_train.targets = tensor(dst_train.targets, dtype=long)
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dst_test.targets = tensor(dst_test.targets, dtype=long)
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return channel, im_size, num_classes, class_names, mean, std, dst_train, dst_test
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