(self)
| 27 | self.dataset.set_format(type="torch", columns=self.hparams.columns) |
| 28 | |
| 29 | def train_dataloader(self): |
| 30 | return torch.utils.data.DataLoader( |
| 31 | self.dataset["train"], |
| 32 | batch_size=self.hparams.batch_size, |
| 33 | shuffle=True, |
| 34 | num_workers=self.hparams.num_workers, # NOTE: disable for debugging |
| 35 | drop_last=True, |
| 36 | collate_fn=self.hparams.collate_fn, |
| 37 | ) |
| 38 | |
| 39 | def val_dataloader(self): |
| 40 | return torch.utils.data.DataLoader( |
no outgoing calls
no test coverage detected