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from abc import abstractmethod
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from torch.utils.data import 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 |
