| 25 | |
| 26 | |
| 27 | class CustomDatasetDataLoader(BaseDataLoader): |
| 28 | def name(self): |
| 29 | return 'CustomDatasetDataLoader' |
| 30 | |
| 31 | def initialize(self, opt): |
| 32 | BaseDataLoader.initialize(self, opt) |
| 33 | self.dataset = CreateDataset(opt) |
| 34 | self.dataloader = torch.utils.data.DataLoader( |
| 35 | self.dataset, |
| 36 | batch_size=opt.batchSize, |
| 37 | shuffle=not opt.serial_batches, |
| 38 | num_workers=int(opt.nThreads)) |
| 39 | |
| 40 | def load_data(self): |
| 41 | return self.dataloader |
| 42 | |
| 43 | def __len__(self): |
| 44 | return min(len(self.dataset), self.opt.max_dataset_size) |