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hub / github.com/adobe-research/custom-diffusion / _val_dataloader

Method _val_dataloader

train.py:410–419  ·  view source on GitHub ↗
(self, shuffle=False)

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408 worker_init_fn=init_fn)
409
410 def _val_dataloader(self, shuffle=False):
411 if isinstance(self.datasets['validation'], Txt2ImgIterableBaseDataset) or self.use_worker_init_fn:
412 init_fn = worker_init_fn
413 else:
414 init_fn = None
415 return DataLoader(self.datasets["validation"],
416 batch_size=self.batch_size,
417 num_workers=self.num_workers,
418 worker_init_fn=init_fn,
419 shuffle=shuffle)
420
421 def _test_dataloader(self, shuffle=False):
422 is_iterable_dataset = isinstance(self.datasets['train'], Txt2ImgIterableBaseDataset)

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