(self, dataset=None, drop_transforms=False)
| 42 | self.sampler = sampler |
| 43 | |
| 44 | def copy(self, dataset=None, drop_transforms=False): |
| 45 | new_loader = Loader( |
| 46 | dataset = copy(self.dataset) if dataset is None else dataset, |
| 47 | images_per_batch = self.images_per_batch, |
| 48 | channels_first = self.channels_first, |
| 49 | transforms = self.transforms if not drop_transforms else None, |
| 50 | shuffle = self.shuffle, |
| 51 | sampler = self.sampler |
| 52 | ) |
| 53 | return new_loader |
| 54 | |
| 55 | def to_keras(self, output_signature=None): |
| 56 | import tensorflow as tf |