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