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from abc import abstractmethod |
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from torch.utils.data import Dataset, ConcatDataset, ChainDataset, IterableDataset |
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class Txt2ImgIterableBaseDataset(IterableDataset): |
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''' |
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Define an interface to make the IterableDatasets for text2img data chainable |
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''' |
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def __init__(self, num_records=0, valid_ids=None, size=256): |
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super().__init__() |
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self.num_records = num_records |
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self.valid_ids = valid_ids |
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self.sample_ids = valid_ids |
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self.size = size |
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print(f'{self.__class__.__name__} dataset contains {self.__len__()} examples.') |
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def __len__(self): |
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return self.num_records |
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@abstractmethod |
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def __iter__(self): |
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pass |
