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from torch.utils.data import DataLoader | |
class InfiniteDataLoader(DataLoader): | |
def __init__(self, *args, **kwargs): | |
super().__init__(*args, **kwargs) | |
# Initialize an iterator over the dataset. | |
self.dataset_iterator = super().__iter__() | |
def __iter__(self): |
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American_Goldfinch_0062_31921.jpg -> n01531178_12730.JPEG | |
Indigo_Bunting_0063_11820.jpg -> n01537544_9540.JPEG | |
Blue_Jay_0053_62744.jpg -> n01580077_4622.JPEG | |
American_Goldfinch_0131_32911.jpg -> n01531178_17834.JPEG | |
Dark_Eyed_Junco_0057_68650.jpg -> n01534433_12777.JPEG | |
Indigo_Bunting_0051_12837.jpg -> n01537544_2126.JPEG | |
Dark_Eyed_Junco_0102_67402.jpg -> n01534433_9482.JPEG | |
American_Goldfinch_0012_32338.jpg -> n01531178_14394.JPEG | |
Laysan_Albatross_0033_658.jpg -> n02058221_16284.JPEG | |
Black_Footed_Albatross_0024_796089.jpg -> n02058221_6390.JPEG |